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32nd EUSIPCO 2024: Lyon, France
- 32nd European Signal Processing Conference, EUSIPCO 2024, Lyon, France, August 26-30, 2024. IEEE 2024, ISBN 978-9-4645-9361-7
- Junqi Zhao, Xubo Liu, Jinzheng Zhao, Yi Yuan, Qiuqiang Kong, Mark D. Plumbley, Wenwu Wang:
Universal Sound Separation with Self-Supervised Audio Masked Autoencoder. 1-5 - Shrishail Baligar, Shawn D. Newsam:
McRTSE: Multi-channel Reverberant Target Sound Extraction. 6-10 - Arnout Roebben, Toon van Waterschoot, Marc Moonen:
Cascaded Noise Reduction and Acoustic Echo Cancellation Based on an Extended Noise Reduction. 11-15 - Yanjue Song, Doyeon Kim, Hong-Goo Kang, Nilesh Madhu:
Spectrum-Aware Neural Vocoder Based on Self-Supervised Learning for Speech Enhancement. 16-20 - George Close, Thomas Hain, Stefan Goetze:
Hallucination in Perceptual Metric-Driven Speech Enhancement Networks. 21-25 - Yiwei Ding, Christof Weibeta:
Towards Robust Local Key Estimation with a Musically Inspired Neural Network. 26-30 - Aapo Hakala, Trevor Kincy, Tuomas Virtanen:
Automatic Live Music Song Identification Using Multi-level Deep Sequence Similarity Learning. 31-35 - Yuta Kusaka, Akira Maezawa:
Mobile-AMT: Real-Time Polyphonic Piano Transcription for In-the-Wild Recordings. 36-40 - Barbara Pascal, Mathieu Lagrange:
On the Robustness of Musical Timbre Perception Models: From Perceptual to Learned Approaches. 41-45 - Jiacheng Gou, Yuheng Song, Chuang Shi, Huiyong Li:
Self-Supervised Mean Opinion Score Prediction of Phase-Vocoder-Based Virtual Bass System. 46-50 - David Perera, Slim Essid, Gaël Richard:
Invariance-Based Layer Regularization for Sound Event Detection. 51-55 - Modan Tailleur, Junwon Lee, Mathieu Lagrange, Keunwoo Choi, Laurie M. Heller, Keisuke Imoto, Yuki Okamoto:
Correlation of Fréchet Audio Distance With Human Perception of Environmental Audio Is Embedding Dependent. 56-60 - Alexander Werning, Reinhold Haeb-Umbach:
Target-Specific Dataset Pruning for Compression of Audio Tagging Models. 61-65 - Manu Harju, Irene Martín-Morató, Toni Heittola, Annamaria Mesaros:
Sound Event Detection with Soft Labels: A New Perspective on Evaluation. 66-70 - Shunsuke Tsubaki, Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Keisuke Imoto:
Refining Knowledge Transfer on Audio-Image Temporal Agreement for Audio-Text Cross Retrieval. 71-75 - Yuuki Tachioka:
Outlier Exposure with Efficient Division of Positive and Negative Examples for Anomalous Sound Detection. 76-80 - Shakeel A. Sheikh, Ina Kodrasi:
Impact of Speech Mode in Automatic Pathological Speech Detection. 81-85 - Mahdi Amiri, Ina Kodrasi:
Test-Time Adaptation for Automatic Pathological Speech Detection in Noisy Environments. 86-90 - Kota Dohi, Yohei Kawaguchi:
Distributed Collaborative Anomalous Sound Detection by Embedding Sharing. 91-95 - Manjunath Mulimani, Annamaria Mesaros:
Online Domain-Incremental Learning Approach to Classify Acoustic Scenes in All Locations. 96-100 - Takezo Ohta, Yoshiaki Bando, Keisuke Imoto, Masaki Onishi:
A Sequential Audio Spectrogram Transformer for Real-Time Sound Event Detection. 101-105 - Haruto Yokota, Mert Bozkurtlar, Benjamin Yen, Katsutoshi Itoyama, Kenji Nishida, Kazuhiro Nakadai:
A Video Vision Transformer for Sound Source Localization. 106-110 - Gabrielle Flood, Filip Elvander:
Multi-Source Localization and Data Association for Time-Difference of Arrival Measurements. 111-115 - Thomas Deppisch, Jens Ahrens, Sebastià V. Amengual Garí, Paul Calamia:
Spatial Room Impulse Response Identification from Rotating Equatorial Microphone Arrays. 116-120 - Shoma Ayano, Li Li, Shogo Seki, Daichi Kitamura:
Audio Spotforming Using Nonnegative Tensor Factorization with Attractor-Based Regularization. 121-125 - Xinmeng Luan, Marco Olivieri, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti:
Complex - Valued Physics-Informed Neural Network for Near-Field Acoustic Holography. 126-130 - Chanho Park, Hyunsik Kang, Thomas Hain:
Character Error Rate Estimation for Automatic Speech Recognition of Short Utterances. 131-135 - Cong-Thanh Do, Shuhei Imai, Rama Doddipatla, Thomas Hain:
Improving Accented Speech Recognition Using Data Augmentation Based on Unsupervised Text-to-Speech Synthesis. 136-140 - Thibault Bañeras Roux, Mickael Rouvier, Jane Wottawa, Richard Dufour:
A Comprehensive Analysis of Tokenization and Self-Supervised Learning in End-to-End Automatic Speech Recognition Applied on French Language. 141-145 - Jiawen Huang, Emmanouil Benetos:
Towards Building an End-to-End Multilingual Automatic Lyrics Transcription Model. 146-150 - Abdul Hannan, Alessio Brutti, Daniele Falavigna:
LDASR: An Experimental Study on Layer Drop Using Conformer-Based Architecture. 151-155 - Takuya Fujimura, Keisuke Imoto, Tomoki Toda:
Discriminative Neighborhood Smoothing for Generative Anomalous Sound Detection. 156-160 - Zied Mnasri, Jhony H. Giraldo, Thierry Bouwmans:
Anomalous Sound Detection For Road Surveillance Based On Graph Signal Processing. 161-165 - Kevin Wilkinghoff, Alessia Cornaggia-Urrigshardt:
Multi-Sample Dynamic Time Warping for Few-Shot Keyword Spotting. 166-170 - Jonas Lindenberger, Christof Pichler, S. Schuster, Oliver Lang, Markus Neumayer, Alexander Haberl, Clemens Staudinger, Bernhard Lehner, Christoph Feilmayr, Hannes Wegleiter, Mario Huemer:
Detection of an Approximately Periodic Sequence of Pulses for Acoustic Condition Monitoring. 171-175 - Sinisa Suzic, Irene Martín-Morató, Nikola Simic, Charitha Raghavaraju, Toni Heittola, Vuk Stanojev, Dragana Bajovic:
UNS Exterior Spatial Sound Events Dataset for Urban Monitoring. 176-180 - Zhaoyi Liu, Álvaro López-Chilet, Dading Chong, Sam Michiels, Jon Ander Gómez, Friedrich Wolf-Monheim, David Newton, Danny Hughes:
SRAD-CLF: Squeak and Rattle Anomaly Detection via Contrastive Learning Framework on Real Industrial Noise Recordings. 181-185 - Subhajit Saha, Md. Sahidullah, Swagatam Das:
Exploring Green AI for Audio Deepfake Detection. 186-190 - Shun Sawada:
Symbolic-Domain Musical Instrument Classification Using Knowledge Distillation from Audio-Teacher to Symbolic-Student. 191-195 - Hafsa Ouajdi, Oussama Hadder, Modan Tailleur, Mathieu Lagrange, Laurie M. Heller:
Detection of Deepfake Environmental Audio. 196-200 - Paul M. Baggenstoss:
Projected Belief Networks with Discriminative Alignment for Classifying Marine Mammals. 201-205 - Willem Alexander Klatt, Michael Bürger, Rainer Martin, Henning Puder:
Filter Synthesis for Robust Feedback Active Noise Control Using Non-Uniformly Discretized Fourier Spectra. 206-210 - Ryota Noguchi, Yosuke Sugiura, Tetsuya Shimamura:
Frequency-domain Feedback Active Noise Control using Weighted LMS Algorithm. 211-215 - Alireza Nezamdoust, Michele Scarpiniti, Aurelio Uncini, Danilo Comminiello:
Spline Adaptive Exponential Functional Link Filter for Nonlinear Acoustic Echo Cancellation. 216-220 - Kai Xie, Ziye Yang, Jie Chen, Junjie Li:
Attention-Based Dual Stream Interactive Network for Nonlinear Residual Echo Suppression. 221-225 - Zhimin Qiu, Hongsen He, Jingdong Chen, Jacob Benesty, Yi Yu:
Normalized Multichannel Frequency-Domain LMS Filter With Nearest Kronecker Product Decomposition for Blind Identification of Low-Rank Acoustic Systems. 226-230 - Amos Schreibman, Elior Hadad, Boris Rubenchik, Moshe Tzur, Eli Tzirkel-Hancock:
Single-Channel Speech Restoration Using Deep Speech Features Reconstruction. 231-235 - Satoru Emura:
Estimation of Output SI-SDR Solely from Enhanced Speech Signals in Diffusion-Based Generative Speech Enhancement Method. 236-240 - Wang Dai, Xiaofei Li, Archontis Politis, Tuomas Virtanen:
Reference Channel Selection by Multi-Channel Masking for End-to-End Multi-Channel Speech Enhancement. 241-245 - Yuancheng Luo:
Constant Directivity Loudspeaker Beamforming. 246-250 - Bilgesu Çakmak, Thomas Dietzen, Randall Ali, Patrick A. Naylor, Toon van Waterschoot:
Microphone Pair Selection for Sound Source Localization in Massive Arrays of Spatially Distributed Microphones. 251-255 - Jiachen Wang, Tomoki Toda:
Unsupervised Training of Neural Network-Based Virtual Microphone Estimator. 256-260 - Jinzheng Zhao, Xinyuan Qian, Yong Xu, Haohe Liu, Yin Cao, Davide Berghi, Wenwu Wang:
Text-Queried Target Sound Event Localization. 261-265 - Tommaso Gambini, Davide Albertini, Alberto Bernardini:
Sound-Intensity-Based Direction of Arrival Estimation Using Centro-Symmetric Sensor Arrays. 266-270 - Thiago Lobato, Roland Sottek:
A Process for Calibrating HRTFs Based on Differentiable Implicit Representations and Domain Adversarial Learning. 271-275 - David Sundström, Anton Björkman, Andreas Jakobsson, Filip Elvander:
Room Impulse Response Estimation Using Optimal Transport: Simulation-Informed Inference. 276-280 - Manish Kumar, Lachlan Birnie, Thushara D. Abhayapala, Sandra Arcos Holzinger, Amy Bastine, Daniel Grixti-Cheng, Prasanga N. Samarasinghe:
Speech Denoising in Multi-Noise Source Environments Using Multiple Microphone Devices Via Relative Transfer Matrix. 281-285 - Daniel Aleksander Krause, Archontis Politis, Annamaria Mesaros:
Sound Event Detection and Localization with Distance Estimation. 286-290 - Jesper Brunnström, Marc Moonen, Filip Elvander:
Robust Signal and Noise Covariance Matrix Estimation Using Riemannian Optimization. 291-295 - Andrea Napoli, Paul R. White:
Diversity-Based Sampling for Imbalanced Domain Adaptation. 296-300 - Thomas Muller, Stéphane Ragot, Pierrick Philippe, Pascal Scalart:
Post-Training Latent Dimension Reduction in Neural Audio Coding. 301-305 - Ahmed Adel Attia, Yashish M. Siriwardena, Carol Y. Espy-Wilson:
Improving Speech Inversion Through Self-Supervised Embeddings and Enhanced Tract Variables. 306-310 - Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard:
Using Random Codebooks for Audio Neural AutoEncoders. 311-315 - Luca Comanducci, Fabio Antonacci, Augusto Sarti:
Interpreting End-to-End Deep Learning Models for Speech Source Localization Using Layer-Wise Relevance Propagation. 316-320 - Paul Primus, Gerhard Widmer:
Fusing Audio and Metadata Embeddings Improves Language-Based Audio Retrieval. 321-325 - Jiahao Ji, Lixian Zhu, Haojie Zhang, Kun Qian, Kele Xu, Zikai Song, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto:
Weight Light, Hear Right: Heart Sound Classification with a Low-Complexity Model. 326-330 - Philipp Wagner, Andreas Triantafyllopoulos, Alexander Gebhard, Björn W. Schuller:
Audio-Based Step-Count Estimation for Running - Windowing and Neural Network Baselines. 331-335 - Leila Ben Letaifa, Jean-Luc Rouas:
Towards Green AI: Assessing the Robustness of Conformer and Transformer Models Under Compression. 336-340 - Mohammad Bokaei, Jesper Jensen, Simon Doclo, Jan Østergaard:
Deep Digital Joint Source-Channel Based Wireless Speech Transmission. 341-345 - Marcella Astrid, Enjie Ghorbel, Djamila Aouada:
Targeted Augmented Data for Audio Deepfake Detection. 346-350 - Tornike Karchkhadze, Hassan Salami Kavaki, Mohammad Rasool Izadi, Bryce Irvin, Mikolaj Kegler, Ari Hertz, Shuo Zhang, Marko Stamenovic:
Latent CLAP Loss for Better Foley Sound Synthesis. 351-355 - Behrad Taghibeyglou, Alexander Chow, Parker Mclaurin, Oviga Yasokaran, Rene Adams, Majida Mohammed, Mandeep Singh, Najib Ayas, Sachin R. Pendharkar, Fernanda R. Almeida, Valeria Rac, Azadeh Yadollahi:
Accessible Obstructive Sleep Apnea Screening Using Classical Acoustic Speech Representations. 356-360 - Meishu Song, Ilhan Aslan, Emilia Parada-Cabaleiro, Zijiang Yang, Elisabeth André, Yoshiharu Yamamoto, Björn W. Schuller:
Lecture Video Highlights Detection from Speech. 361-365 - Théo Nguyen, Yann Teytaut, Axel Roebel:
On Strategies to Exploit Dependencies Between Singing Voice Alignment and Separation. 366-370 - Gauri Deshpande, Björn W. Schuller:
Analysis of Respiratory Health Indicators in Speech-Breathing-Patterns. 371-375 - Harish Battula, Gauri Deshpande, Sachin Patel, Björn W. Schuller:
Heart Rate from Read-Speech Influenced by Physical Exercise. 376-380 - Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko, Noboru Harada:
Learning to Assess Subjective Impressions from Speech. 381-385 - Eirini Sisamaki, Vassilis Tsiaras, Yannis Stylianou:
Memory Efficient Neural Speech Synthesis Based on FastSpeech2 Using Attention Free Transformer. 386-390 - Sungwoong Hwang, Changhwan Kim:
LNACont: Language-Normalized Affine Coupling Layer with Contrastive Learning for Cross-Lingual Multi-Speaker Text-to-Speech. 391-395 - Antonio Jesús Muñoz-Montoro, Marco Olivieri, Mirco Pezzoli, Julio J. Carabias-Orti, Fabio Antonacci, Augusto Sarti:
Ray-Space Constrained Multichannel Nonnegative Matrix Factorization for Audio Source Separation. 396-400 - Shrishail Baligar, Mikolaj Kegler, Bryce Irvin, Marko Stamenovic, Shawn D. Newsam:
CATSE: A Context-Aware Framework for Causal Target Sound Extraction. 401-405 - Wojciech Czaja, Canran Ji, Shashank Sule, Matthias Wellershoff:
Neural Network-Based Speech Reconstruction from Undersampled STFT Magnitude Data. 406-410 - Christos Garoufis, Athanasia Zlatintsi, Petros Maragos:
Pre-training Music Classification Models via Music Source Separation. 411-415 - Xinyu Liang, Fredrik Cumlin, Victor Ungureanu, Chandan K. A. Reddy, Christian Schüldt, Saikat Chatterjee:
DeePMOS-$\mathcal{B}$: Deep Posterior Mean-Opinion-Score Using Beta Distribution. 416-420 - Robert Sutherland, George Close, Thomas Hain, Stefan Goetze, Jon Barker:
Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement. 421-425 - Kuan-Chen Wang, You-Jin Li, Wei-Lun Chen, Yu-Wen Chen, Yi-Ching Wang, Ping-Cheng Yeh, Chao Zhang, Yu Tsao:
Bridging the Gap: Integrating Pre-Trained Speech Enhancement and Recognition Models for Robust Speech Recognition. 426-430 - Negar Riazifar, Nigel G. Stocks:
Alias-Free Level Crossing Sampling. 431-435 - Yuying Xie, Michael Kuhlmann, Frederik Rautenberg, Zheng-Hua Tan, Reinhold Haeb-Umbach:
Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder. 436-440 - Francesca Ronchini, Luca Comanducci, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti:
Room Transfer Function Reconstruction Using Complex-valued Neural Networks and Irregularly Distributed Microphones. 441-445 - Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
Diffusion-Based Image Inpainting with Internal Learning. 446-450 - Zeynep Ovgu Yayci, Mehmet Türkan:
Sparse Features for Multi-Exposure Fusion. 451-455 - Takuro Matsui, Masaaki Ikehara:
Edge-Guided Low-Light Image Enhancement Based on GAN with Effective Modules. 456-460 - Matthieu Muller, Daniele Picone, Mauro Dalla Mura, Magnus O. Ulfarsson:
Pattern-Invariant Unrolling for Robust Demosaicking. 461-465 - André Ricardo Backes:
Texture Classification Using Features from Multi-level Local Binary Patterns. 466-470 - Sabrina Cynthia Triess, Timo Leitritz, Christian Jauch:
Exploring AI-Based Anonymization of Industrial Image and Video Data in the Context of Feature Preservation. 471-475 - Hubert Leterme, Kévin Polisano, Valérie Perrier, Karteek Alahari:
From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets. 476-480 - Kota Mochida, Teppei Nakano, Shinya Fujie, Mari Wakabayashi, Tomomi Sato, Tetsuji Ogawa:
Exploring Robust and Explainable Design for Facial Expression-Based Emotional State Estimation in Children with Profound Intellectual Multiple Disabilities. 481-485 - Philippe Massicotte, Louis-Alexandre Leclaire, Mohamed Gaha, Guillaume Houle, Christian Buteau:
Automated Inventory of Electrical Distribution Assets Based on Image Recognition and Ground LiDAR. 486-490 - Simon Schabat, Bruno Colicchio, Jean-Baptiste Courbot, Alain Dieterlen, Radhia M'Kacher:
Chromosome localisation and segmentation in fluorescence microscopy images. 491-495 - Sergio Urrea, Pablo Gomez, Karen Fonseca, Hans Garcia, Henry Arguello:
Mismatch Correction for End-to-End Designed Phase-Encoded-Based Spectral Imaging System. 496-500 - Romario Gualdrón-Hurtado, Roman Jacome, Sergio Urrea, Henry Arguello, Luis Gonzalez:
Learning Point Spread Function Invertibility Assessment for Image Deconvolution. 501-505 - Suparna Rooj, Patitapaban Palo, Rahul Mahadik, Aurobinda Routray, Manas K. Mandal:
Improving Thermal Facial Emotion Recognition in Subject-Independent Scenarios Through Multigraph Convolutional Networks. 506-510 - Emmanuel Martinez, Roman Jacome, Andrés Jerez, Henry Arguello:
RGB-Guided Spectral Image Generation through GANs with Implicit Spectral Learning. 511-515 - Adam Wieckowski, Christian Stoffers, Heiko Schwarz, Benjamin Bross, Detlev Marpe:
Fast Dependent Quantization Using Trellis Pruning, Forward Context Adaptation and Vectorization. 516-520 - Tero Partanen, Miika Kotajärvi, Alexandre Mercat, Jarno Vanne:
Motion-Vector-Driven Lightweight ROI Tracking for Real-Time Saliency-Guided Video Encoding. 521-525 - Mohammad Ghasempour, Yiying Wei, Hadi Amirpour, Christian Timmerer:
Content-Aware Reference Frame Synthesis for Enhanced Inter Prediction. 526-530 - Amar Tious, Toinon Vigier, Vincent Ricordel:
Impact of Point Cloud Normals Compression on Objective Quality Assessment. 531-535 - Ryoichi Takashima, Fumiya Nakamura, Ryo Aihara, Tetsuya Takiguchi, Yusuke Itani:
Generation of Colored Subtitle Images Based on Emotional Information of Speech Utterances. 536-540 - André Ricardo Backes, Mostafa Khojastehnazhand:
Iranian Wheat Varieties Classification by Using a Fusion of Texture Features. 541-545 - El-Hadji Samba Diop, Abdel-Ouahab Boudraa, Ndéye N. Gueye:
2D Teager-Kaiser Analysis on Gaussian Noise. 546-550 - Sinian Li, Doruk Barokas Profeta, Justin Dauwels:
MoReSo: A DNN Framework Expediting Content-Based Video Image Retrieval (CBVIR). 551-555 - Shun Wang, Yolanda Vidal, Francesc Pozo:
Two-Dimensional Color Distribution Entropy: Validation and Application on Non-Contact Fault Diagnosis for Induction Motor. 556-560 - Ali Abbasi Boroujeni, Rahil Mahdian Toroghi, Hassan Zareian:
Object-Aware Anchor-Free Video Object Tracking using Attention Mechanism and Target Dynamics. 561-565 - Nils Defauw, Marielle Malfante, Olivier Antoni, Tiana A. Rakotovao, Suzanne Lesecq:
Efficient Binary Segmentation Through Dense Neural Networks in a Truncated Frequency Domain. 566-570 - Piyush Mishra, Philippe Roudot:
Comparative Study of Transformer Robustness for Multiple Particle Tracking Without Clutter. 571-575 - Baptiste Wagner, Denis Pellerin, Sylvain Huet:
Forgetting Analysis by Module Probing for Online Object Detection with Faster R-CNN. 576-580 - Gökhan Güney, Maurice Rohr, Sebastian Dill, Christoph Hoog Antink:
On the Usability of Structural Similarity for Action Unit Intensity Detection. 581-585 - Elisha Dayag, Kevin Bui, Fredrick Park, Jack Xin:
An Image Segmentation Model with Transformed Total Variation. 586-590 - Andrzej Sluzek:
Incremental Image Decolorization with Randomizing Factors. 591-595 - Meishu Song, Xin Jing, Emilia Parada-Cabaleiro, Zijiang Yang, Yoshiharu Yamamoto, Björn W. Schuller:
Temporal Oriented ResNet for Gaming Dimensional Emotion Prediction. 596-600 - Ban-Sok Shin, Luis Wientgens, Dmitriy Shutin:
Imaging on the Edge: GPU-Accelerated Traveltime Tomography on a Jetson Nano. 601-605 - Ryugo Morita, Hitoshi Nishimura, Ko Watanabe, Andreas Dengel, Jinjia Zhou:
Edge-Based Denoising Image Compression. 606-610 - Daniil Konstantinov, Sergey Lavrushkin, Dmitriy Vatolin:
Image Robustness to Adversarial Attacks on No-Reference Image-Quality Metrics. 611-615 - Liyun Gong, Miao Yu, Gautam Siddharth Kashyap, Sheldon McCall, Mamatha Thota, Saeid Pourroostaei Ardakani:
Innovate Spatial-Temporal Attention Network (STAN) for Accurate 3D Mice Pose Estimation with a Single Monocular RGB Camera. 616-620 - Leo Brechet, Valentin Gilet, Matthieu Loumaigne, Nizar Bouhlel, Guillaume Mabilleau, David Rousseau:
On the Use of Spatial and Spectral Redundancy to Speed-Up Brillouin Micro-Imaging. 621-625 - Bouzid Arezki, Fangchen Feng, Anissa Mokraoui:
Universal End-to-End Neural Network for Lossy Image Compression. 626-630 - Imad Gohar, Abderrahim Halimi, Weng Kean Yew, John See:
Optimizing Wind Turbine Surface Defect Detection: A Rotated Bounding Box Approach. 631-635 - Hamza Bayd, Patrice Guyot, Benoît G. Bardy, Pierre R. L. Slangen:
Scoring Synchronization Between Music and Motion: Local vs Global Approaches. 636-640 - Waqar Ahmad, Vladimir A. Krylov:
Roadside Object Geolocation from Street-Level Images with Reduced Supervision. 641-645 - Jakeoung Koo, Abderrahim Halimi, Stephen McLaughlin:
Bayesian Deep Unfolding with Graph Attention for Dual-Peak Single-Photon Lidar Imaging. 646-650 - Carla Gcara, Colette Gelas, Louis De Vitry, Elise Colin, Florence Tupin:
InSAR2InSAR: A Self-Supervised Method for InSAR Parameters Estimation. 651-655 - Christophe Kervazo, Abdelkhalak Chetoui, Jérémy E. Cohen:
Deep Unrolling of the Multiplicative Updates Algorithm for Blind Source Separation, with Application to Hyperspectral Unmixing. 656-660 - Séréna Hariga, Jérémy E. Cohen, Nicolas Ducros:
Joint Reconstruction and Spectral Unmixing from Single-Pixel Acquisitions. 661-665 - Haoqing Li, Ricardo Augusto Borsoi, Tales Imbiriba, Pau Closas:
A Variational Approach for Robust Online Fusion of Multiresolution Multispectral Images. 666-670 - Kriti Kumar, Angshul Majumdar, Achanna Anil Kumar, M. Girish Chandra:
Multi-Modal Image Super-Resolution via Deep Convolutional Transform Learning. 671-675 - Dan Pineau, François Orieux, Alain Abergel:
Untrained Compact Neural Network Prior for High-Dimension Multispectral and Hyperspectral Data Fusion with Spectrally Varying Blurs. 676-680 - Yiying Wei, Hadi Amirpour, Ahmed Telili, Wassim Hamidouche, Guo Lu, Christian Timmerer:
Video Encoding Enhancement via Content-Aware Spatial and Temporal Super-Resolution. 681-685 - Leif Bergerhoff:
Seeing the World Through an Antenna's Eye: Reception Quality Visualization Using Incomplete Technical Signal Information. 686-690 - Yaroslav Gachshenko, Nickolai Vysokov, Dauren Toleukhanov, Ivan Brak, Gaukhar Datkhabayeva, Sergii Tukaiev:
Recovery of Autonomous Balance as Indicator of Normalizing Effects of Non-Invasive Vagus Stimulation. 691-695 - Hamed Yazdanpanah, Ana Clara Teixeira, Vaishali Marar, Aline Pezente, Mohammad M. Ghassemi:
Data Selective NLMS Outperforms LSTM and Futures for Regional Soybean Prices Forecasting. 696-700 - Ophélie Renaud, Karol Desnos, Erwan Raffin, Jean-François Nezan:
Multicore and Network Topology Codesign for Pareto-Optimal Multinode Architecture. 701-705 - Oscar Ferraz, Gabriel Falcao, Vítor Silva:
In-Memory Bit Flipping LDPC Decoding. 706-710 - Adrien Deverin, Valentin Gies, Sebastián Marzetti, Valentin Barchasz, Hervé Glotin:
Reducing AI Complexity Using Ear Bio-Inspired Primitives. 711-715 - Irina Pavel, Iulian B. Ciocoiu:
Forearm Electromyogram-Based Biometrics Using Bag-of-Words Classifiers. 716-720 - José R. de Oliveira-Neto, Juliano B. Lima:
Matrices for Generating Orthogonal Eigenvector Bases of Trigonometric Number Transforms. 721-725 - Yudai Fujimoto, Eiichi Watanabe, Junichiro Hayano, Ken Kiyono:
Application of Local Scaling Exponent Profile to Heart Rate Variability Analysis. 726-729 - Jan Butora, Patrick Bas:
Detection of the Adobe Pattern. 730-734 - Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Statistical Privacy Mechanism Design Using Separation Technique. 735-739 - Roman Chaban, Ethan Icet, Olga Taran, Slava Voloshynovskiy:
Comparative Analysis of Copy Detection Patterns and Physical Unclonable Functions in Authentication Systems: A Mobile Phone Perspective. 740-744 - Emmanouil M. Athanasakos, Nicholas Kalouptsidis, Hariprasad Manjunath:
Local Approximation of Secrecy Capacity. 745-749 - Nicholas Klein, Ganesh Sivaraman, Elie Khoury:
Phonetic Richness for Improved Automatic Speaker Verification. 750-754 - Roser Viñals, Jean-Philippe Thiran:
Sequential CNN-Based Enhancement of Ultrafast Ultrasound Imaging for Sparse Arrays. 755-759 - Yuxin Zhang, Clément Huneau, Jérôme Idier, Diana Mateus:
Ultrasound Imaging Based on the Variance of a Diffusion Restoration Model. 760-764 - Axel Adam, Adrian Basarab, Hervé Liebgott, Barbara Nicolas:
An Optimized Mismatched Filter for Continuous Emission Ultrasound Imaging. 765-769 - Ying-Chun Pan, Emelina P. Vienneau, Ryan Lefevre, Susan Eagle, Brett Byram:
Overcoming Labeled Data Barriers in Deep Ultrasound Imaging. 770-774 - Francesca De Carlo, Michael Brown, Geert Leus, Pieter Kruizinga:
Computational Ultrasound Imaging Through an Aberrating Layer Using Delay-and-Sum. 775-779 - Vassili Pustovalov, Duong-Hung Pham, Denis Kouamé:
Enhanced Localization in Ultrafast Ultrasound Imaging Through Spatio-Temporal Deep Learning. 780-784 - Joanes Grandjean:
Standardizing Acquisition & Analysis in Preclinical fMRI. 785-786 - Massyl Moudoud, Céline Meillier, Marion Sourty, Vincent Mazet:
Spatio-Temporal Model for Dynamic Functional Connectivity in Resting State fMRI Analysis. 787-791 - Dimitri Van De Ville, Maria Giulia Preti:
Direct Imaging of Neuronal Activity: A Multivariate Perspective on DIANA Data in Human Subjects. 792-796 - Paul Sitoleux, Lucrezia Carboni, Hanâ Lbath, Sophie Achard:
Comparisons of Null Models with Topological Data Analysis. 797-801 - Francisco Laport, Adriana Dapena, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool. 802-806 - David Degras, Thomas Chapalain, Bertrand Thirion:
On the Stability of Reduced-Rank Ridge Regression. 807-811 - Ruben Wijnands, Geert Leus, Borbála Hunyadi:
Blind Identification of Overlapping Communities from Nodal Observations. 812-816 - Chengen Liu, Elvin Isufi:
Hodge-Aware Matched Subspace Detectors. 817-821 - Lucia Testa, Stefania Sardellitti, Sergio Barbarossa:
Robust Filter Design for Graph Signals. 827-831 - Lorenzo Marinucci, Claudio Battiloro, Paolo Di Lorenzo:
Topological Adaptive Learning over Cell Complexes. 832-836 - Rohan T. Money, Joshin Krishnan, Baltasar Beferull-Lozano:
Limited Data Forecasting of Financial Time-Series Using Graph-Based Class Dynamics. 837-841 - Guoxin Zhang, Yunfei Liang, Wei Yi, Hien Quoc Ngo, Michail Matthaiou, Pramod K. Varshney:
Channel-Aware Direct Localization Using One-Bit Quantized Measurements. 842-846 - Minje Kim, In-Soo Kim, Junil Choi:
Harmony Search-Based Quantization Bit Allocation on Cell-Free Massive MIMO Systems. 847-851 - Victor Sechaud, Laurent Jacques, Patrice Abry, Julián Tachella:
Equivariance-Based Self-Supervised Learning for Audio Signal Recovery from Clipped Measurements. 852-856 - Seokjun Park, Jiwon Sung, Jinseok Choi, Jeonghun Park, Wonjae Shin:
Maximizing Energy and Spectral Efficiency Tradeoff in MISO-RSMA Systems Under Coarse Quantization. 857-861 - Sahil Katyal, Sameera Bharadwaja H., Chandra R. Murthy:
Deep Unfolding-Based Channel Estimation and Soft Symbol Decoding with Low-Resolution ADCs. 862-866 - Ruiming Guo, Ayush Bhandari:
ED- FreEst: Event - Driven Frequency Estimation. 867-871 - M. Asjid Tanveer, Jesper Jensen, Zheng-Hua Tan, Jan Østergaard:
Envelope Based Deep Source Separation and EEG Auditory Attention Decoding for Speech and Music. 872-876 - Oskar Keding, Johanna Wilroth, Martin A. Skoglund, Emina Alickovic:
Effect of Independent Component Artifact Rejection on EEG-Based Auditory Attention Decoding. 877-881 - Anna Sergeeva, Christian Bech Christensen, Preben Kidmose:
Comparison of Spatial Filtering Methods for Ear-EEG ASSR Estimation. 882-886 - Jonas Auernheimer, Tobias Reichenbach:
Estimation of the Neural Sources of the EEG-Measured Speech-FFR Using a Phenomenological Model of Auditory-Nerve Fiber Responses. 887-891 - Nicolas Heintz, Simon Geirnaert, Iris Van De Ryck, Tom Francart, Alexander Bertrand:
Probabilistic Gain Control in a Multi-Speaker Setting Using EEG-Based Auditory Attention Decoding. 892-896 - Amit Eliav, Sharon Gannot:
Concurrent Speaker Detection: A Multi-Microphone Transformer-Based Approach. 897-901 - John Martinsson, Olof Mogren, Maria Sandsten, Tuomas Virtanen:
From Weak to Strong Sound Event Labels using Adaptive Change-Point Detection and Active Learning. 902-906 - Annika Briegleb, Walter Kellermann:
Spatially Constrained vs. Unconstrained Filtering in Neural Spatiospectral Filters for Multichannel Speech Enhancement. 907-911 - Kaien Mo, Xianrui Wang, Yichen Yang, Shoji Makino, Jingdong Chen:
Low Algorithmic Delay Implementation of Convolutional Beamformer for Online Joint Source Separation and Dereverberation. 912-916 - Klaus Brümann, Simon Doclo:
Steered Response Power-Based Direction-of-Arrival Estimation Exploiting an Auxiliary Microphone. 917-921 - Yui Kuriki, Taishi Nakashima, Nobutaka Ono:
Direct Update of Back-Projected Demixing Matrices in Blind Source Separation. 922-926 - Théophile Blard, Théo Ladune, Pierrick Philippe, Gordon Clare, Xiaoran Jiang, Olivier Déforges:
Overfitted Image Coding at Reduced Complexity. 927-931 - Teresa Stürzenhofäcker, Matthias Kränzler, Christian Herglotz, André Kaup:
Design Space Exploration at Frame-Level for Joint Decoding Energy and Quality Optimization in VVC. 932-936 - Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis, Zhijun Lei, Hassene Tmar, Christian Herglotz, André Kaup:
SVT-AV1 Encoding Bitrate Estimation Using Motion Search Information. 937-941 - Zoha Azimi Ourimi, Amritha Premkumar, Reza Farahani, Vignesh V. Menon, Christian Timmerer, Radu Prodan:
Decoding Complexity-Aware Bitrate-Ladder Estimation for Adaptive VVC Streaming. 942-946 - Pierre-Loup Cabarat, Oussama Hammami, Hafssa Boujida, Daniel Ménard:
Pictures Decoding Time Estimation for Low-Power VVC Software Decoding. 947-951 - Ali Ak, Patrick Le Callet, Abhishek Gera, Hassene Tmar, Denise Noyes, Ioannis Katsavounidis:
Sustainable Video Streaming using Acceptability and Annoyance Paradigm. 952-956 - Kostas Georgiadis, Fotis P. Kalaganis, Nikos Laskaris, Spiros Nikolopoulos, Ioannis Kompatsiaris:
Assessing Video Advertising Engagement via Nonlinear Intersubject Correlation Analysis of EEG and Eye Tracking Dynamics. 957-961 - I. Yfantidou, G. Tsourvakas, Vangelis P. Oikonomou, Ioannis Kompatsiaris:
Consumer Response to Different Discount Sales Promotional Messages. An Eye Tracking and EEG Experiment. 962-966 - Maria Kyrou, Fotis P. Kalaganis, Kostas Georgiadis, Spiros Nikolopoulos, Nikos Laskaris, Ioannis Kompatsiaris:
Decoding Consumer Behavior: A Neuroscientific Exploration of Personality Traits Through EEG Functional Connectivity. 967-971 - Junzhe Yin, Cristian Meo, Ankush Roy, Zeineh Bou Cher, Mircea Lica, Yanbo Wang, Ruben Imhoff, Remko Uijlenhoet, Justin Dauwels:
Precipitation Nowcasting Using Physics Informed Discriminator Generative Models. 967-971 - Vasileios Mygdalis, Nathalie Dens:
Implicit Train-Free Calibration for Video-Based Eye-Tracking. 972-976 - Anestis Christidis, Christos Papaioannidis, Ioannis Mademlis, Ioannis Pitas:
Lightweight Human Gesture Recognition Using Multimodal Features. 977-981 - Malte Larsson, Viktor Larsson, Carl Olsson, Magnus Oskarsson:
Hierarchical Time-of-Arrival Self-Calibration Using Robust Receiver Distance Averaging. 982-986 - Esther Rodrigo Bonet, Nikos Deligiannis:
Physics-Guided Graph Convolutional Deep Equilibrium Network for Environmental Data. 987-991 - Stefan Vlaski, Roula Nassif:
Nonconvex Multitask Learning Over Networks. 992-996 - Hanyuan Ban, Ellen H. J. Riemens, Raj Thilak Rajan:
Malleable Kernel Interpolation for Scalable Structured Gaussian Process. 997-1001 - Randall Ali, Bryan Khan:
Steelpan Synthesis and Intangible Cultural Heritage. 1002-1006 - Henna Tahvanainen, Tuomas Ylönen, Outi Valo:
Feature Comparison for Classification of Kaustinen Fiddle Playing Style from Archived Recordings Using Deep Learning. 1007-1011 - Sebastian Gonzalez, Raffaele Malvermi, Mary Jane Kwan, Samuel Zygmuntowicz, Fabio Antonacci, Augusto Sarti:
Features vs Bands: Statistical Analysis Between Design Features and Spectral Power for a Set of Culturally Relevant Violins. 1012-1016 - Hannes Rosseel, Martin Jälmby, Toon van Waterschoot:
Low-Rank Multi-Channel Fast Convolution for Real-Time Auralization of Church Acoustics. 1017-1021 - Ehsan Lari, Reza Arablouei, Stefan Werner:
Privacy-Preserving Distributed Nonnegative Matrix Factorization. 1022-1026 - Alexander Jung:
Analysis of Total Variation Minimization for Clustered Federated Learning. 1027-1031 - Malek Khammassi, Virginia Bordignon, Vincenzo Matta, Ali H. Sayed:
Adaptive Social Learning for Tracking Rare Transition Markov Chains. 1032-1036 - Pedro Valdeira, João Xavier, Cláudia Soares, Yuejie Chi:
Communication-efficient Vertical Federated Learning via Compressed Error Feedback. 1037-1041 - Yitong Chen, Danqi Jin, Jie Chen, Cédric Richard, Wen Zhang, Gongping Huang, Jingdong Chen:
Online Parameter Estimation Over Distributed Multitask Networks with a Rank-One Model. 1042-1046 - Aaron Fainman, Stefan Vlaski:
Learned Finite-Time Consensus for Distributed Optimization. 1047-1051 - Van-Tien Pham, Yassine Zniyed, Thanh Phuong Nguyen:
Hybrid Network Compression through Tensor Decompositions and Pruning. 1052-1056 - Clémence Prévost, Valentin Leplat:
Minimum-Volume Non-Negative Block-Term Decomposition: Blind Data Fusion and Unmixing with Estimation of the Number of Endmembers. 1057-1061 - Xavier Luciani, Rémi Andre:
The Pseudo Joint EigenValue Decomposition: Definition, Properties and Application to the Canonical Polyadic Decomposition. 1062-1066 - Shakir Showkat Sofi, Stijn Hendrikx, Lieven De Lathauwer:
Tensor Train Completion of Multi-Way Data Observed Along One Mode. 1067-1071 - Baptiste Magnier, Guillaume Demoor:
Enhancing Corner Detection: Leveraging 3 × 3 Structure Tensor Combined with Hourglass Filter. 1072-1076 - Sofiane Kharbech, Alexis Decurninge:
Massive Unsourced Random Access with Tensor-Based Modulation and Multi-Antenna Receiver over Frequency-Selective Channels. 1077-1081 - Artur Gancza, Maciej Niedzwiecki:
Identification of Quasi-Periodically Varying Systems Using the Local Basis Function Approach. 1082-1086 - Wojciech Zulawinski, Agnieszka Wylomanska:
Errors-in-Variables-Based Methodology of Estimation and Testing for Infinite-Variance Periodic Autoregressive Models with Additive Noise. 1087-1091 - Adriana Lucchese, Gianluca D'elia, Riccardo Rubini, Marco Cocconcelli:
Error-Related Potential Classification Through the Use of the Detectivity Parameter. 1092-1096 - Antonio Napolitano:
De-Warping Algorithms for Oscillatory Almost-Cyclostationary Processes. 1097-1101 - Alexandre Mauricio, Zhen Li, Mahsa Yazdanianasr, Konstantinos C. Gryllias:
Order Tracking on Cyclic Kurtosis for Damage Detection of Bearing Faults. 1102-1106 - Nico Herwig, Pietro Borghesani, Wenyi Wang, Jérôme Antoni:
Neural Networks for Periodic Signals in Time and Frequency Domains - The Advantage of a Spectral Stride CNN. 1107-1111 - Chunying Jia, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Fusion of Novel FMRI Features Using Independent Vector Analysis for a Multifaceted Characterization of Schizophrenia. 1112-1116 - Sepehr Shirani, Bahman Abdi-Sargezeh, Antonio Valentín, Gonzalo Alarcón, Delaram Jarchi, Jordan J. Bird, Saeid Sanei:
Distributed Beamforming for Localization of Brain Seizure Sources from Intracranial EEG Array. 1117-1121 - Chen Cui, Sima Mofakham, Jessica M. Phillips, Kurt Butler, Charles B. Mikell, Yuri B. Saalmann, Petar M. Djuric:
Gaussian Process-Based Inference Toward Revealing Brain Functional Connectivity. 1122-1126 - Ayesha Vermani, Matthew Dowling, Hyungju Jeon, Ian D. Jordan, Josue Nassar, Yves Bernaerts, Yuan Zhao, Steven Van Vaerenbergh, Il Memming Park:
Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments. 1127-1131 - Marzieh Ajirak, Immanuel Elbau, Nili Solomonov, Logan Grosenick:
Discrete Representation Learning for Multivariate Time Series. 1132-1136 - Jilin Wang, Jun Fang, Hongbin Li:
Intelligent Reflecting Surface-Assisted NLOS Sensing via Tensor Decomposition. 1137-1141 - Eleftherios Kofidis:
Block-Term Tensor Decomposition in Array Signal Processing: Uniform Rectangular Arrays. 1142-1146 - Feiyang Qian, Hang Zheng, Chengwei Zhou, Zhiguo Shi:
Spatial Sectorized Neural Network for 2-D DOA Estimation in the Full Azimuth. 1147-1151 - Raphael Müller, Gianni Allevato, Matthias Rutsch, Christoph Haugwitz, Mario Kupnik, Marius Pesavento:
A Tensor Model for the Calibration of Air-Coupled Ultrasonic Sensor Arrays. 1152-1156 - Metin Calis, Borbála Hunyadi:
Denoising of the Speckle Noise by Robust Low-rank Tensor Decomposition. 1157-1161 - Xiling Yao, Jie Chen, Jingdong Chen, Shefeng Yan, Fei Ji, Hongwei Liu:
Cooperative Classification over Distributed Networks. 1162-1166 - Okko Makkonen, Sampo Niemelä, Camilla Hollanti, Serge Kas Hanna:
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data. 1167-1171 - M. Hassan, C. Zhang, Samson Lasaulce, V. S. Varma, Mérouane Debbah, M. Ghosho:
Strategic Federated Learning: Application to Smart Meter Data Clustering. 1172-1176 - Xiaonan Liu, Tharmalingam Ratnarajah, Mathini Sellathurai, Yonina C. Eldar:
Multimodal Learning for Integrated Sensing and Communication Networks. 1177-1181 - Thibault de Surrel, Florian Yger, Sylvain Chevallier, Fabien Lotte:
Averaging Trajectories on the Manifold of Symmetric Positive Definite Matrices. 1182-1186 - Claudio J. Bordin, Marcelo G. S. Bruno:
Distributed Diffusion-Based Manifold Particle Filters for Orientation Estimation. 1187-1191 - Léa Dubreil, Samy Labsir, Etienne Rouanet-Labé, Gaël Pagès:
Recurrent Neural Networks Modelling based on Riemannian Symmetric Positive Definite Manifold. 1192-1196 - Alexandre Bois, Brian Tervil, Laurent Oudre:
Topological Data Analysis for Unsupervised Anomaly Detection in Time Series. 1197-1201 - Zakariae Abbad, Ahmed Drissi El Maliani, Mohammed El Hassouni, Mohamed Tahar Kadaoui Abbassi, Lionel Bombrun, Yannick Berthoumieu:
Texture Classification Using RGGD Statistical Model of CNN Feature Maps Encoding. 1202-1206 - Xavier Mestre, Roberto Pereira:
Deterministic Equivalent of the Log-Euclidean Distance Between Sample Covariance Matrices. 1207-1211 - Joan M. Bernabeu Frias, Lorenzo Ortega, Antoine Blais, Yoan Gregoire, Eric Chaumette:
Delay Estimation with a Carrier Modulated by a Band-Limited Signal. 1212-1216 - Valerian Mange, Jean-Yves Tourneret, François Vincent, Laurent Mirambell, Fabio Manzoni Vieira:
Track-to-Track AIS / Radar Association and Uncertainty Estimation by Coherent Point Drift. 1217-1221 - Hamish McPhee, Jean-Yves Tourneret, David Valat, Jérôme Delporte, Yoan Gregoire, Philippe Paimblanc:
Misspecified Cramér-Rao Bounds for Anomalous Clock Data in Satellite Constellations. 1222-1226 - Paul Chauchat, Andrea Bellés, Daniel Medina, Jordi Vilà-Valls:
Insights on Adaptive Robust Filtering for Navigation Under Harsh Time-Varying Environments. 1227-1231 - Carla Macias, Arnau Saumell, Montse Nájar, Pau Closas:
RIS Phase Optimization for Near-Field 5G Positioning: ML-Enhanced CRLB Minimization. 1232-1236 - Fran Fabra, Daniel Egea-Roca, José A. Lopez-Salcedo, Gonzalo Seco-Granados:
Analysis on Signals for LEO-PNT Beyond GNSS. 1237-1241 - Panu Somervuo:
Simultaneous Species Classification and Distance Estimation for Bird Sounds Using Single-Microphone Recordings. 1242-1246 - Javier Naranjo-Alcazar, Jordi Grau-Haro, David Almenar, Pedro Zuccarello:
Female Mosquito Detection by Means of AI Techniques Inside Release Containers in the Context of a Sterile Insect Technique Program. 1247-1251 - Erick A. Adje, Gilles Delmaire, Arnaud Ahouandjinou, Matthieu Puigt, Gilles Roussel:
Towards Automatic Butterfly Species Recognition Using a Single Spatio-Hyperspectral Image. 1252-1256 - Jinhua Liang, Inês Nolasco, Burooj Ghani, Huy Phan, Emmanouil Benetos, Dan Stowell:
Mind the Domain Gap: A Systematic Analysis on Bioacoustic Sound Event Detection. 1257-1261 - Aki Härmä, Evgeny Nazarenko:
Bird Activities in a Residential Back Garden. 1262-1266 - Amir Latifi Bidarouni, Jakob Abeßer:
Towards Domain Shift in Location-Mismatch Scenarios for Bird Activity Detection. 1267-1271 - Mikko Impiö, Jenni Raitoharju:
Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes. 1272-1276 - Andreas Triantafyllopoulos, Alexander Gebhard, Manuel Milling, Simon David Noel Rampp, Björn W. Schuller:
An Automatic Analysis of Ultrasound Vocalisations for the Prediction of Interaction Context in Captive Egyptian Fruit Bats. 1277-1281 - Ilyass Moummad, Nicolas Farrugia, Romain Serizel, Jeremy Froidevaux, Vincent Lostanlen:
Mixture of Mixups for Multi-label Classification of Rare Anuran Sounds. 1282-1286 - Sebastian J. Schlecht, Stephan Weiss:
Reconstructing Analytic Dinosaurs: Polynomial Eigenvalue Decomposition for Eigenvalues with Unmajorised Ground Truth. 1287-1291 - Konstantinos Theofilos Drylerakis, Mohammad Belal, Rafael Mestre, Timothy J. Norman, Christine Evers:
Source Detection and Tracking for Underwater Distributed Acoustic Sensing. 1292-1296 - Faizan A. Khattak, Mohammed A. Bakhit, Ian K. Proudler, Stephan Weiss:
Extraction of Analytic Singular Values of a Polynomial Matrix. 1297-1301 - Frank E. Ebong, Andrea M. Tonello:
Extraction of the Natural Poles of the Radio Scattered Field from a Multi-Port Channel Matrix. 1302-1306 - Diyari A. Hassan, Yunus Egi, Soydan Redif:
Neural Networks for Computing Eigenvalues of Parahermitian Matrices. 1307-1311 - Cornelius A. D. Pahalson, Louise H. Crockett, Stephan Weiss:
Detection of Weak Transient Broadband Signals Using a Polynomial Subspace and Likelihood Ratio Test Approach. 1312-1316 - Faizan A. Khattak, Ian K. Proudler, Stephan Weiss:
Scalable Extraction of Analytic Eigenvalues from a Parahermitian Matrix. 1317-1321 - Joris Claude, Raphaël Dumas, Jérémy E. Cohen:
Constrained Tensor Decomposition Reveals Lever Arms Synergies in the Musculoskeletal System. 1322-1326 - Spriha Joshi, Philippe Dreesen, Pietro Bonizzi, Joël M. H. Karel, Ralf Peeters, Martijn Boussé:
Novel Tensor-based Singular Spectrum Decomposition. 1327-1331 - Breno C. Bispo, Fernando A. N. Santos, José R. de Oliveira-Neto, Juliano B. Lima:
Emergence of Higher-Order Functional Brain Connectivity with Hypergraph Signal Processing. 1332-1336 - Thanh-Trung Le, Karim Abed-Meraim, Nguyen Linh Trung:
Higher-Order Singular Spectrum Analysis for Multichannel Biomedical Signal Analysis. 1337-1341 - Esraa Al-Sharoa, Mohammad A. Al-Wardat, Selin Aviyente:
Structured Robust Tensor Decomposition for Multilayer Community Detection: Application to Functional Connectivity Networks. 1342-1346 - Sofia-Eirini Kotti, Borbála Hunyadi:
Extracting Hemodynamic Activity with Low-Rank Spatial Signatures in Functional Ultrasound Using Tensor Decompositions. 1347-1351 - Raphaël Widdershoven, Nico Vervliet, Lieven De Lathauwer:
A Bézoutian-Based Method for Solving Overdetermined Systems of Polynomial Equations. 1352-1356 - Anders S. Olsen, Jesper Duemose Nielsen, Morten Mørup:
Coupled Generator Decomposition for Fusion of Electro- and Magnetoencephalography Data. 1357-1361 - Irina Belyaeva, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali:
Assessing Pediatric Cognitive Development via Multisensory Brain Imaging Analysis. 1362-1366 - Apolline Mellot, Antoine Collas, Sylvain Chevallier, Denis A. Engemann, Alexandre Gramfort:
Physics-Informed and Unsupervised Riemannian Domain Adaptation for Machine Learning on Heterogeneous EEG Datasets. 1367-1371 - Seline J. S. de Rooij, Frederiek Wesel, Borbála Hunyadi:
Efficient Patient Fine-Tuned Seizure Detection with a Tensor Kernel Machine. 1372-1376 - Sena Yagmur Sen, Aydin Akan, Ozlem Karabiber Cura:
Alzheimer's Dementia Detection: An Optimized Approach Using ITD of EEG Signals. 1377-1381 - Gustavo H. Rodrigues, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo:
Combining Euclidean Alignment and Data Augmentation for BCI decoding. 1382-1387 - Sevgi Gökçe Aslan, Bülent Yilmaz:
Examining Tongue Movement Intentions in EEG with Machine and Deep Learning: An Approach for Dysphagia Rehabilitation. 1388-1391 - Dilan Dogru, Mehmet Akif Ozdemir, Onan Güren:
Deep Learning for Automated Ischemic Stroke Lesion Segmentation from Multi-Spectral MRI. 1392-1396 - Sude Pehlivan Akbugday, Ozlem Karabiber Cura, Burak Akbugday, Aydin Akan:
Detection of Alzheimer's Dementia by Using EEG Feature Maps and Deep Learning. 1397-1401 - Jonas Emrich, Andrea Gargano, Taulant Koka, Michael Muma:
Physiology-Informed ECG Delineation Based on Peak Prominence. 1402-1406 - Yudai Fujimoto, Ivan Seleznov, Anton Popov, Ken Kiyono:
Long-Range Cross-Correlation Analysis Between Local Variance Modulations in Bivariate Time Series. 1407-1410 - Oishee Mazumder, Aniruddha Sinha:
Source Localization of Atrial Fibrillation using Probabilistic Dominant Frequency and Spatiotemporal Activation Time. 1411-1415 - Sadaf Khademi, Zohreh Hajiakhondi-Meybodi, Golnaz Vaseghi, Nizal Sarrafzadegan, Arash Mohammadi:
FH-TabNet: Multi-Class Familial Hypercholesterolemia Detection via a Multi-Stage Tabular Deep Learning Network. 1416-1420 - Orchid Chetia Phukan, Ankita Das, Arun Balaji Buduru, Rajesh Sharma:
SONIC: Synergizing Vision Foundation Models for Stress Recognition from ECG Signals. 1421-1425 - Tala Abdallah, Nisrine Jrad, Sally El Hajjar, Fahed Abdallah, Anne Humeau-Heurtier, Patrick Van Bogaert:
A Novel Unsupervised Approach for Accurate Epileptic Seizure Detection. 1426-1430 - Quang Manh Doan, Tran Hiep Dinh, Nguyen Linh-Trung, Truong Xuan Doan, Dinh Doan Long, Jorne Laton, Marc De Hert, Jeroen Van Schependom, Guy Nagels:
Impact of a Vision-Based Smoothing Filter on Schizophrenia Classification. 1431-1435 - Sébastien Dam, Pierre Maurel, Julie Coloigner:
Graph Wavelet Packets for the Classification of Brain Data in Anxiety and Depression. 1436-1440 - Pham Minh Tuan, Mouloud Adel, Nguyen Linh Trung, Eric Guedj:
Wasserstein-Based Distance for Constructing Multi-Scale Individual Brain Networks from FDG-PET Images: Application to Alzheimer's Disease Diagnosis. 1441-1445 - Nguyen Duc Kien, Fahimeh Akbarian, Jorne Laton, Sebastiaan Engelborghs, Jeroen Van Schependom, Nguyen Linh Trung, Guy Nagels:
Value of Periodic and Aperiodic EEG Components to Detect Cognitive Deterioration. 1446-1450 - Mathieu Seraphim, Alexis Lechervy, Florian Yger, Luc Brun, Olivier Etard:
Structure-Preserving Transformers for Sequences of SPD Matrices. 1451-1455 - Hongmei Hu, Ben Williges, Deborah Vickers:
Exploring the Impact of Cochlear Implant Stimulation Artefacts in EEG Recordings: Unveiling Potential Benefits. 1456-1460 - Pham Minh Tuan, Mouloud Adel, Nguyen Linh Trung, Eric Guedj:
Enhancing Depression Diagnosis Using FDG-PET Images with HyperGraphs. 1461-1465 - Rémi Souriau, Alexandre Moly, Félix Martel, Lucas Struber, Serpil Karakas, Violaine Juillard, Guillaume Charvet, Tetiana Aksenova:
Hierarchical Hidden Markov Model for Online Decoding in Brain-Computer Interface. 1466-1470 - Guillaume Marthe, Claire Goursaud, Laurent Clavier:
Enabling Low-Power Signature Recognition for the IoT with SLIF Neurons. 1471-1475 - Sonal Santosh Baberwal, Tomás Ward, Shirley Coyle:
Single Channel-Based Motor Imagery Classification Using Fisher's Ratio and Pearson Correlation. 1476-1480 - Bhuvanambiga Pari, Kingshuk Chakravarty, Aniruddha Sinha, Sangheeta Roy, Arvind Kumar:
Unraveling Neuronal Cluster Dynamics in Basal Ganglia Using Hierarchical Drift-Diffusion Modeling. 1481-1485 - Miguel L. Martins, Miguel T. Coimbra, Francesco Renna:
Singularity Strength Re-Calibration of Fully Convolutional Neural Networks for Biomedical Image Segmentation. 1486-1490 - Mehmet Demirel, Bethany Mills, Erin Gaughan, Kevin Dhaliwal, James R. Hopgood:
Back2Seg: Joint Background Estimation and Bacteria Segmentation on Optical Endomicroscopy Images. 1491-1495 - Laksis Dans, Aleksejs Tatarinovs, Karlis Freivalds:
Wavelet Transform Based Decomposition of Ultrasound Signals for Cortical Bone Model Evaluation. 1496-1500 - Abdullah Hayajneh, Erchin Serpedin, Mitchell Stotland:
Automatic Semantic In-Painting Image Normalization for Facial Anomaly Appraisal. 1501-1505 - Corentin Vazia, Alexandre Bousse, Jacques Froment, Béatrice Vedel, Franck Vermet, Zhihan Wang, Zhihan Wang, Thore Dassow, Thore Dassow, Jean-Pierre Tasu, Dimitris Visvikis:
Spectral CT Two-Step and One-Step Material Decomposition Using Diffusion Posterior Sampling. 1506-1510 - Yiwei Chen, Chao Tang, Amir Aghabiglou, Chung San Chu, Yves Wiaux:
Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2. 1511-1515 - Niloofar Momeni, Susanna Whitling, Andreas Jakobsson:
Detecting Parkinson's Disease Using Voice Recordings from Mobile Devices. 1516-1520 - Minggang Wang, Shohei Kato, Wen Gu, Jun Yan, Fenghui Ren:
Speaker-Independent Depression Detection based on Adversarial Training Method. 1521-1525 - Patricia A. Apellániz, Juan Parras, Santiago Zazo:
CR-SAVAE: A Parametric Method for Survival Analysis with Competing Risks. 1526-1530 - Georgios Rousis, Fotis P. Kalaganis, Spiros Nikolopoulos, Ioannis Kompatsiaris, Panagiotis C. Petrantonakis:
Combining EEGNet with SPDNet Towards an End-To-End Architecture for Imagined Speech Decoding. 1531-1535 - Zafar Ahmad, Muhammad Salman Khan, Muhammad E. H. Chowdhury, Susu M. Zughaier, Wanis Hamad Ibrahim:
Phonocardiogram Classification Based on 1D CNN with Pitch-Shifting and Signal Uniformity Techniques. 1536-1540 - Mohammadjavad Sedghizadeh, Mohammad Hossein Heidari Beni, Hamid K. Aghajan, Danilo Babin, Wilfried Philips:
Directed Graph Analysis on Theta-Gamma Phase-Amplitude Coupling: Insights into Parkinson Disease EEG Data. 1541-1545 - Hajime Yano, Ryoichi Takashima, Tetsuya Takiguchi, Seiji Nakagawa:
Representation Learning Based on Variational Autoencoders for Imagined Speech Classification. 1546-1550 - Mohamed Fakhfakh, Lotfi Chaâri:
Fully Automatic Bayesian Method for Trainable Activation Function and Deep Neural Networks. 1551-1555 - Constantino Álvarez Casado, Manuel Lage Cañellas, Matteo Pedone, Xiaoting Wu, Le Nguyen, Miguel Bordallo López:
Respiratory Disease Classification and Biometric Analysis Using Biosignals from Digital Stethoscopes. 1556-1560 - Maria J. P. Sousa, Armando J. Pinho, Diogo Pratas:
Asensitive Compression-Based Method for Filtering Targeted FASTQ Sequencing Reads. 1561-1565 - Tiago Fonseca, Maria J. P. Sousa, Armando J. Pinho, Diogo Pratas:
A Sorting Tool for Improving FASTA Data Compression Tools. 1566-1570 - Tala Abdallah, Nisrine Jrad, Fahed Abdallah, Anne Humeau-Heurtier, Eliane El-Howayek, Patrick Van Bogaert:
Cross-Site Generalization Using Attention Layer for Epileptic Seizure Detection. 1571-1575 - Prerna Singh, Lalan Kumar, Tapan Kumar Gandhi:
Exploring Network Topology-Based Methods to Differentiate Healthy and Alzheimer's Cohorts: An EEG-Based Study. 1576-1580 - Tamara Skoric, Marija Djermanovic, Jovana Kljajic, Slobodan Spasojevic, John M. O' Toole:
Early Prediction of Electrographic Seizures in Neonatal Hypoxic-ischemic Encephalopathy Based on Amplitude-integrated EEG and Clinical Data. 1581-1585 - Sheng H. Wang, Morgane Marzulli, Gabriele Arnulfo, Lino Nobili, Satu Palva, J. Matias Palva, Philippe Ciuciu:
Machine Learning Models Trained in a Low-Dimensional Latent Space for Epileptogenic Zone (EZ) Localization. 1586-1590 - Dario Milea, Vincenzo Catrambone, Gaetano Valenza:
Functional Neural Activity Mapping Using Spiking Neural Networks and EEG Signals: A Proof of Concept Study. 1591-1595 - Hamidreza Ghonchi, Tom Foulsham, Saideh Ferdowsi:
Assessing Neural Patterns of Anxiety Using Deep Learning: An EEG Study. 1596-1600 - Carla Joud, Laurent Albera, Isabelle Merlet, Julie Coloigner:
SOS-MUSIC, a Subspace Approach for EEG Source Imaging Promoting Sparsity of Active Sources. 1601-1605 - Shivani Ranjan, Harshal Shende, Amit Kumar, Robin Badal, Pramod Yadav, Lalan Kumar:
Memory Encoding Relation with Alzheimer's Severity: Excitation-to-Inhibition Insights. 1606-1610 - Tiziana Cattai, Camilla Caporali, Marie-Constance Corsi, Stefania Colonnese:
Introducing the Modularity Graph: An Application to Brain Functional Networks. 1611-1615 - Davoud Hajhassani, Jérémie Mattout, Marco Congedo:
An Automatic Riemannian Artifact Rejection Method for P300-based BCIs. 1616-1620 - Hyungju Jeon, Il Memming Park:
Quantifying Signal-to-Noise Ratio in Neural Latent Trajectories via Fisher Information. 1621-1625 - Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon:
Unsupervised Adaptive Deep Learning Method for BCI Motor Imagery Decoding. 1626-1630 - Youssra El Bennioui, Abderrahim Halimi, Adrian Basarab, Jean-Yves Tourneret:
Fusion of Magnetic Resonance and Ultrasound Images Using Guided Filtering: Application to Endometriosis Surgery. 1631-1635 - Kevin Mekhaphan Nguyen, Alvaro Fernandez-Quilez:
Segmentation Uncertainty with Statistical Guarantees in Prostate MRI. 1636-1640 - Francisco J. Vázquez-Araújo, Adriana Dapena, Francisco Laport, Paula Maria Castro, Daniel I. Iglesia:
Selection of sEMG-Based Configuration for a Hand Gesture Recognition System. 1641-1645 - Valentin Gautier, Claude Comtat, Florent Sureau, Alexandre Bousse, Voichita Maxim, Bruno Sixou:
Synergistic PET/MR Reconstruction with VAE Constraint. 1646-1650 - Anandaramane Candassamy, Alice Caplier, Jocelyn Chanussot, Roland Sarda Estève, Dominique Baisnee, Adeline Pouthier, David O'Connor, Benjamin Guinot, Dominique Filippi, Sylvain Bonnefond:
Pollen Identification and Concentration Estimation Using High Resolution Imaging and Deep Learning. 1651-1655 - Faisal Jayousi, Xavier Descombes, Emmanuel Bouilhol, Anne Sudaka, Ellen Van Obberghen-Schilling, Laure Blanc-Féraud:
Detection and Characterisation of Fibronectin Structures in the Tumour Extracellular Matrix. 1656-1660 - Ilaria Ricchi, Daniel Molinuevo Gomez, Nawal Kinany, Dimitri Van De Ville:
Characterization of the Resting-State Functional Dynamics in the Lumbosacral Spinal Cord. 1661-1665 - Anam Hashmi, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor:
Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach. 1666-1670 - Rajeev Rajan, A Noumida, S. Aparna, V. J. Madhurema, Nandana Nair, Parvathi Mohan:
Diabetic Retinopathy Grading Using Multi-Scale Residual Network with Grouped Channel Attention. 1671-1675 - Sajjad Afrakhteh, Libertario Demi:
Reconstruction of Elasticity Estimates in Shear Wave Elastography through Relaxed Frame Rate Acquisition Combined with Radial Basis Function Interpolation. 1676-1680 - Abdullah Abdulaziz, Reka Hegedus, Fraser Macdonald, Stephen McLaughlin, Yoann Altmann:
Investigation of Spiking Neural Networks for Joint Detection and Tracking. 1681-1685 - Aymen Sekhri, Marouane Tliba, Mohamed Amine Kerkouri, Yassine Nasser, Aladine Chetouani, Alessandro Bruno, Rachid Jennane:
Shifting Focus: From Global Semantics to Local Prominent Features in Swin-Transformer for Knee Osteoarthritis Severity Assessment. 1686-1690 - Maria J. P. Sousa, Armando J. Pinho, Diogo Pratas:
Improving the Generation of Viral Consensus Sequences Using Adaptive Models. 1691-1695 - Vincent Beauchamps, Bastien Berthelot, Vincent Ibanez, Fabien Sauvet:
Evaluation of a Multi-Sensor Approach for Drowsiness Monitoring. 1696-1700 - Ines Moudjari, Caroline Pautard, Clément Jouanneau, Régine Le Bouquin-Jeannés:
Identification of Pelvic Floor Muscle Contraction From Non-Invasive Sensors. 1701-1705 - Simon Blotas, Charles Truong:
Structured Loss for Deep Change-Point Detection. 1706-1710 - Chawki Nasrallah, Kawtar Ghiatt, Ahmad Diab, Jérémy Laforet, Sidi Mohamed Sid'El Moctar, Imad Rida, Kiyoka Kinugawa, Sofiane Boudaoud:
Spectral Selective Canonical Correlation Analysis to Remove the Power Line Interference from HD-sEMG Signals. 1711-1715 - Vivien Debuchy, Mohamed Khalifa, Philippe Tresson, Nadège Thirion-Moreau, Eric Moreau:
Machine Learning Techniques Applied to in-Silico Pulse Wave Velocity Estimation Based on Photoplethysmographic Signals. 1716-1720 - Sakyajit Bhattacharya, Dibyendu Roy, Oishee Mazumder, Ayan Mukherjee, Nasimuddin Ahmed, K. M. Mandana, Avik Ghose, Aniruddha Sinha:
Post-Exercise Recovery Score Using Computational Cardiac Model. 1721-1725 - Yan-Wei Su, Chia-Cheng Hao, Gi-Ren Liu, Yuan-Chung Sheu, Hau-Tieng Wu:
Model-Based Assessment of Photoplethysmogram Signal Quality in Real-Life Environments. 1726-1730 - Jan Mucha, Michal Gavenciak, Jirí Mekyska, Marcos Faúndez-Zanuy, Lubos Brabenec, Irena Rektorová:
Evaluation of Fractional Calculus and Delta Parameters in Prodromal Diagnosis of Dementia with Lewy Bodies Utilizing Online Handwriting. 1731-1735 - Sara Frusone, Rafael Costa de Almeida, Fabien Squara, Vicente Zarzoso:
Electrogram Fractionation Metrics in Spatio-Temporal Dispersion Based Catheter Ablation of Persistent Atrial Fibrillation. 1736-1740 - Eda Demirsoy, Beren Semiz:
Investigating the Effect of Intra-Subject Variability in Seismocardiogram Analysis. 1741-1745 - Farwa Abbas, Verity M. McClelland, Zoran Cvetkovic, Wei Dai:
DLGC: Dictionary Learning Based Granger Causal Discovery for Cortico-Muscular Coupling. 1746-1750 - Rajeev Rajan, A R. Ajay Mahadev, P. Arjun, A. Noumida:
Teaching Speech Signal Processing Fundamentals in Undergraduate Class Using an Interactive GUI. 1751-1755 - Yuvaraj Rajamanickam, S. Samyuktha, Jack Fogarty, Jun Song Huang, Samuel Tan, Teck Kiong Wong:
Optimal EEG Time Window Length for Boredom Classification Using Combined Non-Linear Features. 1756-1760 - Paul Rodriguez:
Evolution and Recent Trends for the SGD Algorithm: Key Takeaways from an Educational Short Course. 1761-1765 - Ashwin P. Joby, Allen Mammen Abraham, Sona Philip, Tessa Ann Josy, M. S. Sinith, Rajeev Rajan:
Teaching Indian Classical Music Using Web-Based Interactive Platform and Real-Time Audio Analysis. 1766-1770 - Jules Mabon, Mathias Ortner, Josiane Zerubia:
Learning and Scoring Point Process Models for Object Detection in Satellite Images. 1771-1775 - Maxime Ossonce, Pierre Duhamel, Florence Alberge:
Adequate Structuring of the Latent Space for Easy Classification and Out-of-Distribution Detection. 1776-1780 - Stéfan Baudier, Santiago Velasco-Forero, Franck Jean, Daniel Brooks, Jesús Angulo:
Deep Matrix Profile for Maneuver Classification in Low Earth Orbit Satellite Trajectories. 1781-1785 - Lucas Grativol, Mathieu Léonardon, Guillaume Muller, Virginie Fresse, Matthieu Arzel:
FLoCoRA: Federated Learning Compression with Low-Rank Adaptation. 1786-1790 - Jonathan Lys, Frédéric Lin, Clément Béliveau, Jules Decaestecker, Yassir Bendou, Aymane Abdali, Bastien Pasdeloup:
FICUS: Few-Shot Image Classification with Unsupervised Segmentation. 1791-1795 - Saurav K. Shastri, Yanting Ma, Petros Boufounos, Hassan Mansour:
Deep Calibration and Operator Learning for Ground Penetrating Radar Imaging. 1796-1800 - Carlo Santambrogio, Monica Pragliola, Alessandro Lanza, Marco Donatelli, Luca Calatroni:
Whiteness-Based Bilevel Learning of Regularization Parameters in Imaging. 1801-1805 - Nathan Buskulic, Yvain Quéau, Jalal Fadili:
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems Trained with Gradient Descent. 1806-1810 - Leo Davy, Nelly Pustelnik, Patrice Abry:
Restart Strategies Enabling Automatic Differentiation for Hyperparameter Tuning in Inverse Problems. 1811-1815 - Jiakang Chen, Renke Wang, Vincent C. H. Leung, Pier Luigi Dragotti:
Fast and Direct Angle Inference Using Masked Projection Modelling in 2D Tomography with Unknown Views. 1816-1820 - Chengxi Li, Mikael Skoglund:
Gradient Coding in Decentralized Learning for Evading Stragglers. 1821-1825 - Jean-Frédéric Diebold, Nicolas Papadakis, Arnaud Dessein, Charles-Alban Deledalle:
A Unified Framework for Hard and Soft Clustering with Regularized Optimal Transport. 1826-1830 - Victor Leger, Romain Couillet:
Asymptotic Bayes Risk of Semi-Supervised Learning with Uncertain Labeling. 1831-1835 - Raphaël Baena, Lucas Drumetz, Vincent Gripon:
On Transfer in Classification: How Well do Subsets of Classes Generalize? 1836-1840 - Soobin Park, Soyoung Na, Seung Hyun Song, Eunju Cha:
Unpaired Training for AFM Image Processing of R2R-Printed CNTs. 1841-1845 - Nidhal Balti, Baptiste Vrigneau, Pascal Scalart:
Deep Learning-Based ON/OFF Detection for Enhanced Energy Disaggregation. 1846-1850 - Shahriar Rahman Fahim, Rachad Atat, Cihat Keçeci, Abdulrahman Takiddin, Muhammad Ismail, Katherine R. Davis, Erchin Serpedin:
Generalized FDIA Detection in Power Dependent Electrified Transportation Systems. 1851-1855 - Jiaxing Ye, Takumi Kobayashi, Nobuyuki Toyama:
Wavefield MAE: Leveraging Large Vision Models for Ultrasonic Wavefield Pattern Analysis. 1856-1860 - Rassim Hadjercs, Christophe Kervazo, Florence Tupin:
Generating Synthetic Data to Train a Deep Unrolled Network for Hyperspectral Unmixing. 1861-1865 - Yijie Miao, Makoto Ikeda:
Single Gate Spiking Recurrent Neural Network for Histogram-less Single-Photon Depth Sensing. 1866-1870 - Dinh Triem Phan, Jérôme Bobin, Cheick Thiam, Christophe Bobin:
A Hybrid Machine Learning Unmixing Method for Gamma-Spectrometry. 1871-1875 - Eunju Cha:
RED-PhaseCut: A Variational Sampler Using Diffusion Model for Fourier Phase Retrieval. 1876-1880 - Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac:
Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging. 1881-1885 - Patricia A. Apellániz, Juan Parras, Santiago Zazo:
An Improved Tabular Data Generator with VAE-GMM Integration. 1886-1890 - Nikolaos Chandrinos, Michalis Amasialidis, Manos Kirtas, Konstantinos Tsampazis, Nikolaos Passalis, Anastasios Tefas:
Quantization-Aware Training for Multi-Agent Reinforcement Learning. 1891-1895 - John Violos, Symeon Papadopoulos, Ioannis Kompatsiaris:
Towards Optimal Trade-Offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge. 1896-1900 - Thibaut Modrzyk, Ane Etxebeste, Elie Bretin, Voichita Maxim:
Fast Deconvolution Using a Combination of Richardson-Lucy Iterations and Diffusion Regularisation. 1901-1905 - Attila Miklós Ámon, Kristian Fenech, Péter Kovács, Tamás Dózsa:
Continuous Wavelet Transform Based Variable Projection Networks. 1906-1910 - Junfeng Cheng, Yingkai Yang, Tania Stathaki:
DiGCE: Diffusion Model with GRU-Based Conditional Encoder for FRI Signal Reconstruction. 1911-1915 - Ozan Çakiroglu, Eduardo Pérez, Florian Roemer, Martin Schiffner:
Self-Supervised Transmission Waveform Learning for Ultrafast Pulse-Echo Ultrasound Imaging with Sparse Reconstruction. 1916-1920 - Santosh Nannuru, Ashuthosh Bharadwaj:
Network Inference from Heat Diffusion Dynamics. 1921-1925 - Amir Aghabiglou, Chung San Chu, Arwa Dabbech, Yves Wiaux:
R2D2 Image Reconstruction with Model Uncertainty Quantification in Radio Astronomy. 1926-1931 - Henri Hoyez, Bruno Mirbach, Jason R. Rambach, Cedric Schockaert, Didier Stricker:
Which Time Series Domain Shifts can Neural Networks Adapt to? 1932-1936 - Brice Marc, Philippe Foucher, Florence Forbes, Pierre Charbonnier:
Normalizing Flows with Task-Specific Pre-Training for Unsupervised Anomaly Detection on Engineering Structures. 1937-1941 - Ioannis Bountouris, Nikolaos Passalis, Anastasios Tefas:
Probabilistic Knowledge Transfer for Lightweight Vision Transformers. 1942-1946 - Agnès Delahaies, Jérôme Landré, Frédéric Morain-Nicolier:
Texture Classification Using Local Dissimilarity Maps of Gray-Level Co-Occurrence Matrices. 1947-1951 - Jenni Raitoharju:
Linear-Time One-Class Classification with Repeated Element-Wise Folding. 1952-1956 - Andriy Enttsel, Alex Marchioni, Livia Manovi, Riccardo Nikpali, Gabriele Ravaglia, Gianluca Setti, Riccardo Rovatti, Mauro Mangia:
Anomaly Detection-Reconstruction Trade-Off in Autoencoder-Based Compression. 1957-1961 - Sylvain W. Combettes, Charles Truong, Laurent Oudre:
Symbolic Representation for Time Series. 1962-1966 - Maria Tzelepi, Vasileios Mezaris:
Prototype Anchoring for Image Classification Tasks. 1972-1976 - Alexandros Emvoliadis, Georgios-Fotios Angelis, Anastasios Drosou, Dimitrios Tzovaras:
Self-Supervised Trajectory Clustering with Optimal Transport and Metric Learning. 1977-1981 - Dror Jacoby, Jonatan Ostrometzky, Hagit Messer:
Hybrid Hierarchical Models for ISAC Predictions with Wireless Links. 1982-1986 - Kurt Butler, Marija Iloska, Petar M. Djuric:
On Counterfactual Interventions in Vector Autoregressive Models. 1987-1991 - Abdulrahman Takiddin, Rachad Atat, Hayat Mbayed, Muhammad Ismail, Erchin Serpedin:
Resilience of Data-Driven Cyberattack Detection Systems in Smart Power Grids. 1992-1996 - Mathias Lecroart, Audrey Giremus, Tudor-Bogdan Airimitoaie, Mathieu Chevrié, Christophe Farges:
Tight Hybridization of Long Short-Term Memory Neural Networks and Robust Kalman Filter for Remaining Useful Life Estimation of Proton Exchange Membrane Fuel Cells. 1997-2001 - Issam Khedher, Jean-Marie Favreau, Serge Miguet, Gilles Gesquière:
RGB2LST: Enhancing Deep Learning-Based Land Surface Temperature Estimation with Multi-Modality and Artifacts Removal. 2002-2006 - Quentin Le Roux, Kassem Kallas, Teddy Furon:
A Double-Edged Sword: The Power of Two in Defending Against DNN Backdoor Attacks. 2007-2011 - Takuya Wakayama, Taiki Inoue, Jun Ogata, Makoto Iida, Tetsuji Ogawa:
Normal with Occasional Anomalies: Feature Extraction for Detecting Non-Stationary Abnormal Events in Wind Turbines. 2012-2016 - Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Aleksandra Pizurica:
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images. 2022-2026 - Emilien Boizard, Gilles Chardon, Frédéric Pascal:
Enhancing the Explainability of Gradient Boosting Classification Through Comparable Samples Selection. 2027-2031 - Alexandre M. Da Rocha, Guilherme N. De Oliveira, Lucas José V. De Souza, Raul de Lacerda:
tLoc: A Mathematical Probabilistic Model for Wireless Fingerprinting. 2032-2036 - Yezi Liu, Yanning Shen:
TinyData: Joint Dataset Condensation with Dimensionality Reduction. 2037-2041 - Zaynab Baydoun, Roua Youssef, Emanuel Radoi, Stéphane Azou, Tina Yaacoub, David Espes:
Experimental Approach for IR-UWB Radar-Based People Detection in Industry 4.0 Environments. 2042-2046 - Weijie Xiong, Jingran Lin, Kai Zhong, Qiang Li, Jinfeng Hu:
Waveform Design for ISAC Systems Via the Riemannian Geometric Optimization Network. 2047-2051 - Martin Gölz, Luca Okubo Baudenbacher, Abdelhak M. Zoubir, Visa Koivunen:
Spatial Inference Network: Indoor Proximity Detection via Multiple Hypothesis Testing. 2052-2056 - Yuan-Pei Lin, Yi-Hsiang Liao:
Angles Estimation for mmWave MIMO Radar Using Coupled Coarrays. 2057-2061 - Chih-Fan Pai, See-May Phoong:
Low Complexity Estimation of LTV Channels for OFDM Systems with Uniformly Spaced Pilots. 2062-2066 - Sepideh Gherekhloo, Khaled Ardah, Gerald C. Nwalozie, André L. F. de Almeida, Martin Haardt:
An Efficient Channel Training Protocol for Channel Estimation in Double RIS-AIDED MIMO Systems. 2067-2071 - Wai-Yiu Keung, Wing-Kin Ma:
Spatial Sigma-Delta Modulation for Few-Bit MIMO Precoding: Quantization Error Suppression According to Channel State Information. 2072-2076 - Alix Jeannerot, Malcolm Egan, Jean-Marie Gorce:
Joint Slot and Power Optimization for Grant Free Random Access with Unknown and Heterogeneous Device Activity. 2077-2081 - Xuan Chen, Vincent Savaux, Matthieu Crussière, Patrick Savelli, Kofi-Clément Yao:
Combining-Based Spatial Domain SIC Method in a FD MIMO System by Addition of an RF Chain. 2082-2086 - Stephan Pfletschinger, Monica Navarro:
ADS-B as an Example for Frame Synchronization and Detection of Short Packets. 2087-2091 - Marc Martinez-Gost, Ana I. Pérez-Neira, Miguel Angel Lagunas:
Log-FSK: A Frequency Modulation for Over-the-Air Computation. 2092-2096 - Abubakar Abdulkarim, Behrouz Maham:
Multi-Leo Satellite Networks for Integrated Access and Backhaul: Outage Performance Analysis. 2097-2101 - Romain Piron, Claire Goursaud:
Hybrid Grover Search for AUD on a NISQ Device. 2102-2106 - Simone Fiorellino, Claudio Battiloro, Emilio Calvanese Strinati, Paolo Di Lorenzo:
Dynamic Relative Representations for Goal-Oriented Semantic Communications. 2107-2111 - Vincent Savaux, Xuan Chen:
Spatial Precoding in Frequency Domain for Multi-User MIMO Affine Frequency Division Multiplexing. 2112-2116 - Keke Zu, Yuhan He, Yu Yuan, Yi Wang, Qiang Liu, Kun Yang, Martin Haardt:
Deep Learning Compressed Sensing-Based Channel Estimation for Massive MISO Systems. 2117-2121 - Zilu Zhao, Dirk Slock:
Bilinear Hybrid Expectation Maximization and Expectation Propagation for Semi-Blind Channel Estimation. 2122-2126 - Sajad Daei, Gábor Fodor, Mikael Skoglund:
Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels. 2127-2131 - Arthur Louchart, Inbar Fijalkow:
Matching Saleh and Volterra Series Model. 2132-2136 - Valentin Bolz, Johannes Ruebeta, Andreas Zell:
Robust Sampling Methods for Accurate Power Flow Time-Sweep Approximations with Graph Neural Networks. 2137-2141 - Thibault Piana, Abdeldjalil Aïssa-El-Bey, Matthieu Arzel, Alain Thomas:
Sparse Coding Techniques for Adjustable Lossy Compression of Baseband Signals in Centralized and Virtualized Communication Systems. 2142-2146 - Ahcen Aliouat, Elsa Dupraz:
Learning on JPEG-LDPC Compressed Images: Classifying with Syndromes. 2147-2151 - Junghoon Kim, Miguel R. Castellanos, Arupjyoti Bhuyan, Robert W. Heath Jr.:
Jamming Detection for Low-Resolution SC-FDE Systems: A Machine Learning Approach. 2152-2156 - Tao Fan, Yi Wang, Xianxiang Yu, Guolong Cui, Wenmin Wang:
Transceivers Design for Slow-Time Cross Ambiguity Function Shaping. 2157-2161 - Yongwei Huang, Bocheng Li, Sergiy A. Vorobyov:
Optimal Adaptive Beamforming with Robust Sidelobe Level Control Against the Mismatches of the Steering Vectors. 2162-2166 - Yuan Huang, Huiqin Du:
Bit Allocation for Adaptive Finite-Resolution RIS-Assisted MIMO System. 2167-2171 - Yu Feng, Ye Tian, Hua Chen, Wei Liu:
Reconfigurable Intelligent Surface Assisted Low-Cost DOA Estimation Using A Single Antenna. 2172-2176 - Siyang Guan, Zehan Liu, Rui Duan, Jian Zhang, Jun Bao:
Beamforming Optimization: Extended to Bidirectional Integrated Sensing and Communication System. 2177-2181 - Jean Malléjac, Jérôme Idier, Charles Soussen, Xiangyi Li:
Joint Decomposition of Multichannel Signals with Multimarginal Optimal Transport. 2182-2186 - Han Wang, Yhonatan Kvich, Eduardo Pérez, Florian Römer, Yonina C. Eldar:
Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging. 2187-2191 - Yassine Mhiri, Rémy Abergel, Andrés Almansa, Lionel Moisan:
Hyperspectral Signal Reconstruction from Interferometric Measurements with Enriched Fourier Bases. 2192-2196 - Nawel Arab, Yassine Mhiri, Isabelle Vin, Mohammed Nabil El Korso, Pascal Larzabal:
Unrolled Expectation Maximization for Sparse Radio Interferometric Imaging. 2197-2201 - Chunxuan Shi, Yongzhe Li, Ran Tao:
Optimization on a Generalized Multi-Order Complex Quadratic Form with Constant-Modulus Constraints. 2202-2206 - Moustapha Diaw, Olivier Lerda, Joana Frontera-Pons, Frédéric Brigui, Jean Philippe Ovarlez:
Robust Statistics for Multi-Band SAR Image Change Detection. 2207-2211 - Wassim Bdiri, Nizar Bouhlel, Stéphane Méric, Eric Pottier, Fathi Kallel:
Unsupervised Classification of Polarimetric SAR Images Using Bayesian Nonparametric Model and Markov Random Field. 2212-2216 - Thomas Bultingaire, Inès Meraoumia, Christophe Kervazo, Loïc Denis, Florence Tupin:
Unsupervised Radiometric Change Detection from Synthetic Aperture Radar Images. 2217-2221 - Nour Aburaed, Mina Al-Saad, Marouane Tliba, Aladine Chetouani, Mohammed Q. Alkhatib, M. Sami Zitouni, Saeed Al-Mansoori, Hussain Al-Ahmad:
Multi-purpose Domain Adaptive Network for Unsupervised SAR Colorization. 2222-2226 - Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Wenrui Yu, Richard Heusdens:
On the Privacy Bound of Distributed Optimization and its Application in Federated Learning. 2232-2236 - Victor Scott Prieto Ruiz, Dmitriy Shutin, Thomas Wiedemann, Patrick Hinsen:
Physics-Guided Neural Networks for Distributed Sparse Gas Source Localization Using Poisson's Equation and Green's Function Method. 2237-2241 - Evangelos Georgatos, Christos Mavrokefalidis, Kostas Berberidis:
Neighbor Selecting Cooperation Strategies for Distributed Learning. 2242-2246 - Ehsan Lari, Reza Arablouei, Naveen K. D. Venkategowda, Stefan Werner:
Distributed Maximum Consensus Over Noisy Links. 2247-2251 - Sahar Masmoudi, Christelle Garnier, Anne Savard, Vincent Itier, Stéphane Sauvage, Florentin Bulot, Pascal Kaluzny:
Enhanced Sensor Environment Graph Based Deep Learning Approach for Air Quality Anomaly Detection. 2252-2256 - Ammar Mesloub, Tayeb Touhami, Karim Abed-Meraim, Adel Belouchrani, Mustapha Djeddou:
Joint Singular Value Decomposition: A New Algorithm for Complex Matrices. 2257-2261 - Petr Tichavský, Ondrej Straka:
Tensor Train Approximation of Multivariate Functions. 2262-2266 - Maxence Giraud, Vincent Itier, Rémy Boyer:
Canonical Rank Estimation Using Side Information, Application to Multidimensional Harmonic Retrieval. 2267-2271 - Ids Van der Werf, Costas A. Kokke, Richard Heusdens, Richard C. Hendriks, Geert Leus, Mario Coutino:
Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array. 2272-2276 - Thomas Aussaguès, Anne Ferréol, Alice Delmer, Pascal Larzabal:
Looking for Equivalence between Maximum Likelihood and Sparse DOA Estimators. 2277-2281 - Xunmeng Wu, Zai Yang, Zhiqiang Wei, Robert Schober, Zongben Xu:
Wideband Direction-of-Arrival Estimation via Covariance Fitting and Focusing. 2282-2286 - Guillaume Lauga, Audrey Repetti, Elisa Riccietti, Nelly Pustelnik, Paulo Gonçalves, Yves Wiaux:
A Multilevel Framework for Accelerating uSARA in Radio-Interferometric Imaging. 2287-2291 - Zheng Fang, Laurent Albera, Amar Kachenoura, Jean-François Houvenaghel, Joan Duprez, Huazhong Shu, Yan Kang, Régine Le Bouquin-Jeannès:
Joint Order and Coefficient Estimation for MVAR Models Using Group Sparsity. 2292-2296 - Lorenzo Ortega, Stefano Fortunati:
Misspecified Time-Delay and Doppler Estimation Over High Dynamics Non-Gaussian Scenarios. 2297-2301 - Louis Hauseux, Konstantin Avrachenkov, Josiane Zerubia:
Benefits of Hypergraphs for Density-Based Clustering. 2302-2306 - Lucas Zoroddu, Pierre Humbert, Laurent Oudre:
Using Graph Prior to Learn Network Granger Causality. 2307-2311 - Abdullah Canbolat, Elif Vural:
An Efficient Algorithm for Learning Locally Stationary Graph Processes. 2312-2316 - Paul Didier, Toon van Waterschoot, Marc Moonen:
Topology-Independent GEVD-Based Distributed Adaptive Node-Specific Signal Estimation in Ad-Hoc Wireless Acoustic Sensor Networks. 2317-2321 - Hayate Kojima, Hiroshi Higashi, Yuichi Tanaka:
Interpretable Graph Signal Denoising Using Regularization by Denoising. 2322-2326 - Junya Hara, Shunsuke Ono, Hiroshi Higashi, Yuichi Tanaka:
Sensor Placement Problem on Networks for Sensors with Multiple Specifications. 2327-2331 - Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri:
Simplicial Complex Learning from Edge Flows via Sparse Clique Sampling. 2332-2336 - Karéth Leon-López, Serge Fabre, Fabio Manzoni, Laurent Mirambell, Jean-Yves Tourneret:
A Multiscale Anomaly Detection Framework for AIS Trajectories via Heat Graph Laplacian Diffusion. 2337-2341 - Valerian Mange, Yoann Anezin, Jean-Yves Tourneret, François Vincent, Laurent Mirambell, Fabio Manzoni Vieira:
Detecting Abnormal Ship Trajectories Using Functional Isolation Forests and Dynamic Time Warping. 2342-2346 - E. Chappon, Nelly Pustelnik, J. Tachella, Laurence Denneulin, A. Ferrari, Maud Langlois:
From Linear to Nonlinear Unfolded Condat-Vú Algorithm for Spectro-Polarimetric Hight-Constrast Image Recovery. 2347-2351 - Fraser K. Coutts, John S. Thompson, Bernard Mulgrew:
Compression Design for Efficient Information Sharing in a Network of Radio Frequency Sensors. 2352-2356 - R. Julo, Florent Chatelain, M. Bonnefoy, Olivier J. J. Michel, O. Flasseur, P. Delorme, S. Jorquera:
Sources Separation in Hyperspectral Images for Protoplanets Detection and Characterization. 2357-2361 - Mustafa Atahan Nuhoglu, Hakan Ali Çirpan:
A Convex Optimization Approach for Source Localization Using LBI Changing Rate of Phase Difference Only. 2362-2366 - Ali Chamseddine, Georges Stienne, Serge Reboul, Hamza Issa, Ghaleb Faour:
Phase Coherence Change Detection via Circular Uniformity Test Applied to GNSS-Reflectometry. 2367-2371 - Victor R. J. Deville, Jamie S. Evans, Jonathan H. Manton:
Estimating Vehicle Length Using FMCW Radar: A Micro-Doppler Signature Analysis Approach. 2372-2376 - Priyamvad Tripathi, Sunrise Wang, Simon Prunet, André Ferrari:
Shape measurement of radio galaxies using Equivariant CNNs. 2377-2381 - Timothée Roignant, Nicolas Le Josse, Abdel Boudraa, Jean-Jacques Szkolnik, Paul Penven, Hugues Henocq:
Magnetic Anomaly Detection Using Noise-Optimized Orthonormalized Functions on Dual Magnetometric Sensor Signals. 2382-2386 - Diana Karaki, Sylvain Dechaumet, Annelaure Damont, Benoit Colsch, François Fenaille, Antoine Souloumiac, Etienne A. Thévenot:
Non-Negative Matrix Factorization of SWATH DIA Data Improves Global Metabolite Identification. 2387-2391 - Yi Wang, Xianxiang Yu, Tao Fan, Guolong Cui:
Design of Cognitive Radar Orthogonal Subpulse Width against Multiple Jamming. 2392-2396 - Xiaohan Zhao, Yongzhe Li, Ran Tao:
Hybrid OFDM-LFM Waveform Design With Good Correlation Properties via Optimally Allocating Frequency Carriers and Chirp-Rate Polarities. 2397-2401 - Xiaohan Zhao, Yongzhe Li, Ran Tao:
Efficient Waveform Design with Good Correlation and Information Embedding Performances for the Joint MIMO Radar and Communications. 2402-2406 - François De Saint Moulin, Guillaume Thiran, Christophe Craeye, Luc Vandendorpe, Claude Oestges:
Near-Field EM-Based Multistatic Radar Range Estimation. 2407-2411 - Martin Willame, Laurent Storrer, Hasan Can Yildirim, François Horlin, Jérôme Louveaux:
Maximum Likelihood Alternating Summation for Multistatic Angle-Based Multitarget Localization. 2412-2416 - Masoud Dorvash, Mohammad Alaee-Kerahroodi, Mahmoud Modarres-Hashemi, Björn E. Ottersten:
Evolutionary Approaches for 4D Radar Beampattern Shaping in Spectrally Dense Environment. 2417-2421 - Pucheng Jing, Danilo Orlando, Jiahao Zhang, Yongchan Gaol, Jun Liu, Lei Zuol:
Double-Knowledge-Aided Rao and Wald Tests Using Gibbs Sampling Under Training-Limited Condition. 2422-2426 - Emanuele Grossi, Hedieh Taremizadeh, Luca Venturino:
STAR-RIS-Based Pulse-Doppler Radars. 2427-2431 - Xiaonan Xu, Yongzhe Li, Ran Tao, Tao Shan:
Design of OFDM Waveforms With Subcarrier Interleaving: To Achieve Good PMEPR and SNR Performances for the Joint Radar and Communications. 2432-2436 - Takanobu Furuhashi, Hidekata Hontani, Tatsuya Yokota:
Adaptive Block Sparse Regularization Under Arbitrary Linear Transform. 2437-2441 - Aseel Omar, Alejandro Cohen:
Adaptive Integrate-and-Fire Time Encoding Machine. 2442-2446 - Esa Ollila:
Matching Pursuit Covariance Learning. 2447-2451 - Olivier Vu Thanh, Nicolas Gillis:
Minimum-Volume Nonnegative Matrix Completion. 2452-2456 - Damien Lesens, Jérémy E. Cohen, Bora Uçar:
Orthogonal Matching Pursuit-Based Algorithms for the Birkhoff-Von Neumann Decomposition. 2457-2461 - Václav Pavlícek, Ruiming Guo, Ayush Bhandari:
Bits, Channels, Frequencies and Unlimited Sensing: Pushing the Limits of Sub-Nyquist Prony. 2462-2466 - Keivan Faghih Niresi, Lucas Kuhn, Gaëtan Frusque, Olga Fink:
Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation. 2467-2471 - Amirhossein Javaheri, Daniel P. Palomar:
Learning Time-Varying Graphs for Heavy-Tailed Data Clustering. 2472-2476 - Kamil Dedecius, Jan Novák, Petr Jechumtál:
JIPDA Filtering with Information Diffusion. 2477-2481 - Taulant Koka, Jasin Machkour, Michael Muma:
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening. 2482-2486 - Cécile Bastidon, Myriam Bontonou, Pierre Borgnat, Pablo Jensen, Patrice Abry, Antoine Parent:
Learning Smooth Graphs with Sparse Temporal Variations to Explore Long-Term Financial Trends. 2487-2491 - Thu Ha Phi, Alexandre Hippert-Ferrer, Florent Bouchard, Arnaud Breloy:
Leveraging Standardization in Graph Learning. 2492-2496 - Maria Åkesson, Maria Sandsten:
Robust Multitaper Reassignment Vectors for Enhanced Time-Frequency Representation. 2497-2501 - Quentin Legros, Dominique Fourer:
Estimation of Instantaneous Frequency and Amplitude of Multi-Component Signals Using Sparse Modeling of Signal Innovation. 2502-2506 - Anton Emelchenkov, Mathieu Fontaine, Yves Grenier, Hervé Mahé, François Roueff:
Multifrequency Highly Oscillating Aperiodic Amplitude Estimation for Nonlinear Chirp Signal. 2507-2511 - Marina Krémé, Adrien Meynard:
Consistent Spectrogram Separation from Nonstationary Mixture. 2512-2516 - Oliver Orejola, Gustavo Didier, Herwig Wendt, Patrice Abry:
Identifying High-Dimensional Self-Similarity Based on Spectral Clustering Applied to Large Wavelet Random Matrices. 2517-2521 - Cheng Cheng, Sinan Yildirim, Jean-Y. Ves Tourneret:
Auxiliary Particle Filtering with Variational Inference for Jump Markov Systems with Unknown Measurement Noise Covariance. 2522-2526 - Herwig Wendt, Patrice Abry, Yannick Malevergne, Marc Senneret, Gerald Perrin, Stéphane Jaffard:
Longitudinal Cross-Temporal Dynamics in Foreign Exchange via Bayesian Multifractal Analysis. 2527-2531 - Younes Boutiyarzist, Julien Lesouple, Jean-Yves Tourneret:
Robust Hypersphere Fitting from Noisy Data Using Gibbs Sampling. 2532-2536 - Félix Mercier, Nizar Bouhlel, Angelina El Ghaziri, David Rousseau:
Online Bayesian Adaptive Sampling for Nonlinear Model: Application to Plant Phenotyping. 2537-2541 - Anthony Frion, Lucas Drumetz, Guillaume Tochon, Mauro Dalla Mura, Abdeldjalil Aïssa-El-Bey:
Koopman Ensembles for Probabilistic Time Series Forecasting. 2542-2546 - Olivier Rioul, Antoine Souloumiac:
Towards a Perfect Reconstruction Theory. 2547-2551 - Juliana Du, Barbara Pascal, Patrice Abry:
Synthetic Spatiotemporal Covid19 Infection Counts to Assess Graph-Regularized Estimation of Multivariate Reproduction Numbers. 2552-2556 - Oksana Moryakova, Håkan Johansson:
Efficient Design and Implementation of Fast-Convolution-Based Variable-Bandwidth Filters. 2557-2561 - Nicolas Le Bihan, Julien Flamant, Pierre-Olivier Amblard:
The Geometric Phase of Bivariate Signals. 2562-2566 - C. Chenevas-Paule, Steeve Zozor, Laure-Line Rouve, Olivier J. J. Michel, O. Pinaud, R. Kukla:
On an Analytical Orthonormal Multipolar Basis for Magnetic Anomaly Detection. 2567-2571 - Eric J. Grivel, Pierrick Legrand, B. Berthelot:
Multiscale Entropy Rate: A Variant of the Multiscale Entropy. 2572-2576 - Nacer Yousfi, Karim Abed-Meraim, Mohammed El Badaoui, Yosra Marnissi:
Blind Identification of Mechanical Systems with Modulated Periodic Input Signals. 2577-2581 - Ahmad Faza, John Leth, Arnfinn Aas Eielsen:
Spectral Density Shaping of Quantisation Error Using Dithering. 2582-2586 - Chan Park, Seung Hyun Ryu, PooGyeon Park:
A Bias-Compensated Robust Affine Projection Algorithm Using Variable Matrix-type Step Size. 2587-2591 - Stéphane Bonnet, Massimo D'Elia:
DFT of a Pure Real Tone: A Geometrical Perspective. 2592-2596 - Filip Tronarp:
Numerically Robust Square Root Implementations of Statistical Linear Regression Filters and Smoothers. 2597-2601 - Yusuf Yigit Pilavci, Jérémie Boulanger, Pierre-Antoine Thouvenin, Pierre Chainais:
Denoising Bivariate Signals via Smoothing and Polarization Priors. 2602-2606 - Tzvi Diskin, Ami Wiesel:
Self-Supervised Learning for Covariance Estimation. 2607-2611 - Hiroki Kuroda:
Sharpening Minimization Induced Penalties. 2612-2616 - Adrian Jarret, Valérie Costa, Julien Fageot:
A Decoupled Approach for Composite Sparse-Plus-Smooth Penalized Optimization. 2617-2621 - Atharva Awari, Harrison Nguyen, Samuel Wertz, Arnaud Vandaele, Nicolas Gillis:
Coordinate Descent Algorithm for Nonlinear Matrix Decomposition with the ReLU Function. 2622-2626 - Yiming Zhou, Wei Dai:
A Proximal Algorithm for Optimizing Compositions of Quadratic Plus Nonconvex Nonsmooth Functions. 2627-2631 - Erik Troedsson, Marcus Carlsson, Herwig Wendt:
On Gradient Based Descent Algorithms for Joint Diagonalization of Matrices. 2632-2636 - Patrick L. Combettes, Diêgo J. Cornejo:
Signal Recovery with Proximal Comixtures. 2637-2641 - Patrick L. Combettes, Javier I. Madariaga:
Randomly Activated Proximal Methods for Nonsmooth Convex Minimization. 2642-2646 - Nizar Bousselmi, Nelly Pustelnik, Julien M. Hendrickx, François Glineur:
Comparison of Proximal First-Order Primal and Primal-Dual Algorithms via Performance Estimation. 2647-2651 - Martin Hellkvist, Ayça Özçelikkale, Anders Ahlén:
Continual Learning with Distributed Optimization: Does CoCoA Forget Under Task Repetition? 2652-2656 - Maria-Sara-Nour Sadoun, Evangelos Piliouras, Taous-Meriem Laleg-Kirati:
Backward Gradient Interval Optimization Convergence for the Semi-Classical Signal Analysis. 2657-2661 - Jasin Machkour, Michael Muma, Daniel P. Palomar:
FDR-Controlled Sparse Index Tracking with Autoregressive Stock Dependency Models. 2662-2666 - Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol:
Projected Block Coordinate Descent for Sparse Spike Estimation. 2667-2671 - Antoine Guennec, Jean-François Aujol, Yann Traonmilin:
Adaptive Parameter Selection for Gradient-Sparse Plus Low Patch-Rank Recovery: Application to Image Decomposition. 2672-2676 - Jihanne El Haouari, Jean-Yves Tourneret, Herwig Wendt, Jean-Michel Gaucel, Christelle Pittet:
Estimation of Instrument Spectral Response Functions in Presence of Radiometric Errors. 2677-2681 - Matthieu Chancel, Hacheme Ayasso, Michel Desvignes, Jean-Michel Vignolle, Eric Lespessailles:
Improving Sparse Dictionary Learning with Rejection of Fully Exposed Patches. 2682-2686 - Alvaro Lopez Paredes, Felipe Gutierrez-Barragan, Miguel Heredia Conde:
Gram-Guided Error-Correction for Highly-Coherent Dictionaries and its Application to CS-ToF Imaging. 2687-2691 - Thomas Feuillen, Luc Vandendorpe, Laurent Jacques:
1-Bit Compressive Radar with Phase Dithering. 2692-2696 - Kévin Polisano, Basile Dubois-Bonnaire, Sylvain Meignen:
Gridless 2D Recovery of Lines Using the Sliding Frank-Wolfe Algorithm. 2697-2701 - Yanjun Yan, Chuanrong Liu, Yijiu Zhao, Houjun Wang, Lei Qian, Kai Chen, Yifan Wang:
A Lower-Correlation Random Demodulator Architecture Using Random Sampling Period Zeroing Integration Method. 2702-2706 - Corentin Lubeigt:
Deliberate Model Misspecification for Weather Radar Signal Doppler Spectrum Moments Estimation. 2707-2711 - Berkan Dulek:
Parameter Estimation in the Presence of Partial Prior Information and Constraints on Error Probabilities. 2712-2716 - Elias Raninen:
Oracle Approximating Shrinkage Covariance Matrix Estimators for Complex Elliptical Distributions. 2717-2721 - Wei Yang, Zhengyu Wang, Xiaoyi Mai, Zenan Ling, Robert Caiming Qiu, Zhenyu Liao:
Inconsistency of ESPRIT DoA Estimation for Large Arrays and a Correction via RMT. 2722-2726 - Olivier Flasseur, Éric Thiébaut, Loïc Denis, Maud Langlois:
Shrinkage MMSE Estimators of Covariances Beyond the Zero-Mean and Stationary Variance Assumptions. 2727-2731 - Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A Multi-View Extension for Change Point Detection via Time-Invariant Representations. 2732-2736 - Anthony Torre, Abigael Taylor, Dominique Poullin, Thierry Chonavel:
Improved Change Point Detection via Bias Reduction in Parameters Estimation. 2737-2741 - Pertami J. Kunz, Abdelhak M. Zoubir:
Integrating Block Robust Empirical Standardised Influence Function and Block Average to Robustify Seasonal Block Bootstrap Methods. 2742-2746 - Arie Yeredor:
Matched Filter Threshold Adjustment for Skewed Noise Using Gram-Charlier Expansion. 2747-2751 - Leif Bergerhoff:
Learning Antenna Pointing Correction in Operations: Efficient Calibration of a Black Box. 2752-2756 - Raphael Mignot, Valerian Mange, Konstantin Usevich, Marianne Clausel, Jean-Yves Tourneret, François Vincent:
Anomaly Detection Using Multiscale Signatures. 2757-2761
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