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2020 – today
- 2024
[j9]Harlin Lee
, Aaqib Saeed:
Distilled non-semantic speech embeddings with binary neural networks for low-resource devices. Pattern Recognit. Lett. 177: 15-19 (2024)- [j8]Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia:
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels. ACM Trans. Intell. Syst. Technol. 15(2): 22:1-22:26 (2024) - [c18]Haoyuan Li, Mathias Funk, Nezihe Merve Gürel, Aaqib Saeed:
Collaboratively Learning Federated Models from Noisy Decentralized Data. IEEE Big Data 2024: 7879-7888 - [c17]Vasileios Tsouvalas, Yuki M. Asano, Aaqib Saeed:
DeltaMask: Minimizing Communication in Federated Fine-Tuning of Vision Foundation Models. IEEE Big Data 2024: 8042-8051 - [c16]Sunny Soni, Aaqib Saeed, Yuki M. Asano:
Federated Learning with a Single Shared Image. CVPR Workshops 2024: 7782-7790 - [c15]Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia:
Communication-Efficient Federated Learning Through Adaptive Weight Clustering And Server-Side Distillation. ICASSP 2024: 5805-5809 - [i32]Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad:
Learning under Label Noise through Few-Shot Human-in-the-Loop Refinement. CoRR abs/2401.14107 (2024) - [i31]Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia:
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation. CoRR abs/2401.14211 (2024) - [i30]Dimitris Spathis, Aaqib Saeed, Ali Etemad, Sana Tonekaboni, Stefanos Laskaridis, Shohreh Deldari, Chi Ian Tang, Patrick Schwab, Shyam Tailor:
A collection of the accepted papers for the Human-Centric Representation Learning workshop at AAAI 2024. CoRR abs/2403.10561 (2024) - [i29]Sunny Soni, Aaqib Saeed, Yuki M. Asano:
Federated Learning with a Single Shared Image. CoRR abs/2406.12658 (2024) - [i28]Haoyuan Li, Mathias Funk, Nezihe Merve Gürel, Aaqib Saeed:
Collaboratively Learning Federated Models from Noisy Decentralized Data. CoRR abs/2409.02189 (2024) - [i27]Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed:
Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling. CoRR abs/2409.08788 (2024) - [i26]Manh Pham, Aaqib Saeed, Dong Ma:
C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training. CoRR abs/2410.02131 (2024) - [i25]Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo:
RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. CoRR abs/2410.05361 (2024) - [i24]Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed:
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning. CoRR abs/2410.14464 (2024) - [i23]Saurav R. Pandey, Aaqib Saeed, Harlin Lee:
PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals. CoRR abs/2411.00718 (2024) - 2023
- [c14]Zaharah Allah Bukhsh, Aaqib Saeed:
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors. ICASSP 2023: 1-5 - [c13]Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi:
Active Learning of non-Semantic Speech Tasks with Pretrained models. ICASSP 2023: 1-5 - [c12]Yuki M. Asano, Aaqib Saeed:
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image. ICLR 2023 - [i22]Aaqib Saeed, Vasileios Tsouvalas:
Plug-and-Play Multilingual Few-shot Spoken Words Recognition. CoRR abs/2305.03058 (2023) - [i21]Vasileios Tsouvalas, Yuki Asano, Aaqib Saeed:
Federated Fine-Tuning of Foundation Models via Probabilistic Masking. CoRR abs/2311.17299 (2023) - 2022
- [j7]Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim:
COCOA: Cross Modality Contrastive Learning for Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 108:1-108:28 (2022) - [j6]Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi:
Federated Self-training for Semi-supervised Audio Recognition. ACM Trans. Embed. Comput. Syst. 21(6): 74:1-74:26 (2022) - [c11]Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi:
Federated Self-Training for Data-Efficient Audio Recognition. ICASSP 2022: 476-480 - [c10]Aaqib Saeed:
Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices. INTERSPEECH 2022: 516-520 - [i20]Shohreh Deldari, Hao Xue, Aaqib Saeed, Jiayuan He, Daniel V. Smith, Flora D. Salim:
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data. CoRR abs/2206.02353 (2022) - [i19]Aaqib Saeed:
Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices. CoRR abs/2206.09029 (2022) - [i18]Harlin Lee, Aaqib Saeed:
Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices. CoRR abs/2207.05784 (2022) - [i17]Harlin Lee, Aaqib Saeed:
Pediatric Sleep Scoring In-the-wild from Millions of Multi-channel EEG Signals. CoRR abs/2207.06921 (2022) - [i16]Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim:
COCOA: Cross Modality Contrastive Learning for Sensor Data. CoRR abs/2208.00467 (2022) - [i15]Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi, Nirvana Meratnia:
Federated Learning with Noisy Labels. CoRR abs/2208.09378 (2022) - [i14]Zaharah Allah Bukhsh, Aaqib Saeed:
On Out-of-Distribution Detection for Audio with Deep Nearest Neighbors. CoRR abs/2210.15283 (2022) - [i13]Harlin Lee, Aaqib Saeed, Andrea L. Bertozzi:
Active Learning of Non-semantic Speech Tasks with Pretrained Models. CoRR abs/2211.00119 (2022) - 2021
- [j5]Prince U. C. Songwa, Aaqib Saeed, Sachin Bhardwaj, Marijn Kruisselbrink, Tanir Ozcelebi:
LumNet: Learning to Estimate Vertical Visual Field Luminance for Adaptive Lighting Control. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 79:1-79:20 (2021) - [j4]Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi, Johan Lukkien:
Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence. IEEE Internet Things J. 8(2): 1030-1040 (2021) - [j3]Zaharah Allah Bukhsh, Nils Jansen, Aaqib Saeed:
Damage detection using in-domain and cross-domain transfer learning. Neural Comput. Appl. 33(24): 16921-16936 (2021) - [c9]Aaqib Saeed, David Grangier, Olivier Pietquin, Neil Zeghidour:
Learning From Heterogeneous Eeg Signals with Differentiable Channel Reordering. ICASSP 2021: 1255-1259 - [c8]Aaqib Saeed, David Grangier, Neil Zeghidour:
Contrastive Learning of General-Purpose Audio Representations. ICASSP 2021: 3875-3879 - [c7]Shkurta Gashi, Aaqib Saeed, Alessandra Vicini, Elena Di Lascio, Silvia Santini:
Hierarchical Classification and Transfer Learning to Recognize Head Gestures and Facial Expressions Using Earbuds. ICMI 2021: 168-176 - [i12]Zaharah Allah Bukhsh, Nils Jansen, Aaqib Saeed:
Damage detection using in-domain and cross-domain transfer learning. CoRR abs/2102.03858 (2021) - [i11]Zaharah Allah Bukhsh, Aaqib Saeed, Remco M. Dijkman:
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network. CoRR abs/2104.00721 (2021) - [i10]Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi:
Federated Self-Training for Semi-Supervised Audio Recognition. CoRR abs/2107.06877 (2021) - [i9]Aaqib Saeed:
Consistency Training of Multi-exit Architectures for Sensor Data. CoRR abs/2109.13192 (2021) - [i8]Yuki M. Asano, Aaqib Saeed:
Extrapolating from a Single Image to a Thousand Classes using Distillation. CoRR abs/2112.00725 (2021) - 2020
- [c6]Aaqib Saeed, Ye Li, Tanir Ozcelebi, Johan Lukkien:
Multi-sensor data augmentation for robust sensing. COINS 2020: 1-7 - [c5]Bram van Berlo, Aaqib Saeed, Tanir Ozcelebi:
Towards federated unsupervised representation learning. EdgeSys@EuroSys 2020: 31-36 - [i7]Aaqib Saeed, Flora D. Salim, Tanir Özçelebi, Johan Lukkien:
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence. CoRR abs/2007.13018 (2020) - [i6]Aaqib Saeed, Victor Ungureanu, Beat Gfeller:
Sense and Learn: Self-Supervision for Omnipresent Sensors. CoRR abs/2009.13233 (2020) - [i5]Aaqib Saeed, David Grangier, Neil Zeghidour:
Contrastive Learning of General-Purpose Audio Representations. CoRR abs/2010.10915 (2020) - [i4]Aaqib Saeed, David Grangier, Olivier Pietquin, Neil Zeghidour:
Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering. CoRR abs/2010.13694 (2020)
2010 – 2019
- 2019
- [j2]Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien:
Multi-task Self-Supervised Learning for Human Activity Detection. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(2): 61:1-61:30 (2019) - [c4]Aaqib Saeed, Tanir Ozcelebi, Stojan Trajanovski, Johan J. Lukkien:
End-to-End Multi-Modal Behavioral Context Recognition in a Real-Life Setting. FUSION 2019: 1-8 - [i3]Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien:
Multi-task Self-Supervised Learning for Human Activity Detection. CoRR abs/1907.11879 (2019) - 2018
- [j1]Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien:
Synthesizing and Reconstructing Missing Sensory Modalities in Behavioral Context Recognition. Sensors 18(9): 2967 (2018) - [c3]Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien, Jan B. F. van Erp, Stojan Trajanovski:
Model Adaptation and Personalization for Physiological Stress Detection. DSAA 2018: 209-216 - [i2]Aaqib Saeed, Tanir Ozcelebi, Stojan Trajanovski, Johan Lukkien:
Learning behavioral context recognition with multi-stream temporal convolutional networks. CoRR abs/1808.08766 (2018) - 2017
- [c2]Aaqib Saeed, Stojan Trajanovski, Maurice van Keulen, Jan B. F. van Erp:
Deep Physiological Arousal Detection in a Driving Simulator Using Wearable Sensors. ICDM Workshops 2017: 486-493 - [i1]Aaqib Saeed, Stojan Trajanovski:
Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals. CoRR abs/1711.06116 (2017) - 2016
- [c1]Anna Priante, Djoerd Hiemstra, Tijs A. van den Broek, Aaqib Saeed, Michel L. Ehrenhard, Ariana Need:
#WhoAmI in 160 Characters? Classifying Social Identities Based on Twitter Profile Descriptions. NLP+CSS@EMNLP 2016: 55-65
Coauthor Index
aka: Tanir Özçelebi
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