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ORCIDJulien Audiffren
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2020 – today
- 2024
[c16]Manuel Mondal, Julien Audiffren, Ljiljana Dolamic, Gérôme Bovet, Philippe Cudré-Mauroux:
Cleaning Semi-Structured Errors in Open Data Using Large Language Models. SDS 2024: 258-261- [c15]Natalia Ostapuk
, Julien Audiffren, Ljiljana Dolamic, Alain Mermoud, Philippe Cudré-Mauroux:
Follow the Path: Hierarchy-Aware Extreme Multi-Label Completion for Semantic Text Tagging. WWW 2024: 2094-2105 - [i12]Julien Audiffren, Christophe Broillet, Ljiljana Dolamic, Philippe Cudré-Mauroux:
Extreme Multi-label Completion for Semantic Document Labelling with Taxonomy-Aware Parallel Learning. CoRR abs/2412.13809 (2024) - 2022
- [j7]Julien Audiffren, Jean-Pierre Bresciani:
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience. Neural Comput. 34(2): 338-359 (2022) - [j6]Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren:
Tensor Convolutional Dictionary Learning With CP Low-Rank Activations. IEEE Trans. Signal Process. 70: 785-796 (2022) - 2021
- [c14]Julien Audiffren:
Quantifying Human Perception with Multi-Armed Bandits. AAMAS 2021: 1452-1454 - [c13]Julien Audiffren:
Dichotomous Optimistic Search to Quantify Human Perception. ICML 2021: 414-424 - [c12]Michael Luggen, Julien Audiffren, Djellel Eddine Difallah, Philippe Cudré-Mauroux:
Wiki2Prop: A Multimodal Approach for Predicting Wikidata Properties from Wikipedia. WWW 2021: 2357-2366 - 2020
- [j5]Pierre Humbert, Clément Dubost, Julien Audiffren, Laurent Oudre:
Apprenticeship Learning for a Predictive State Representation of Anesthesia. IEEE Trans. Biomed. Eng. 67(7): 2052-2063 (2020) - [c11]Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis:
Low Rank Activations for Tensor-Based Convolutional Sparse Coding. ICASSP 2020: 3252-3256 - [i11]Pierre Humbert, Laurent Oudre, Nicolas Vayatis, Julien Audiffren:
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis. CoRR abs/2007.02534 (2020)
2010 – 2019
- 2019
- [j4]Ioannis Bargiotas, Julien Audiffren, Nicolas Vayatis, Pierre-Paul Vidal, Alain P. Yelnik, Damien Ricard:
Local Assessment of Statokinesigram Dynamics in Time: An in-Depth Look at the Scoring Algorithm. Image Process. Line 9: 143-157 (2019) - [j3]Ludovic Minvielle, Julien Audiffren:
NurseNet: Monitoring Elderly Levels of Activity with a Piezoelectric Floor. Sensors 19(18): 3851 (2019) - [c10]Alice Nicolaï, Julien Audiffren:
Estimating Center of Mass Trajectory in Quiet Standing: a Review. EMBC 2019: 6854-6859 - [c9]Laura Rettig, Julien Audiffren, Philippe Cudré-Mauroux:
Fusing Vector Space Models for Domain-Specific Applications. ICTAI 2019: 1110-1117 - [c8]Alisa Smirnova, Julien Audiffren, Philippe Cudré-Mauroux:
APCNN: Tackling Class Imbalance in Relation Extraction through Aggregated Piecewise Convolutional Neural Networks. SDS 2019: 63-68 - [r1]Alisa Smirnova, Julien Audiffren, Philippe Cudré-Mauroux:
Distant Supervision from Knowledge Graphs. Encyclopedia of Big Data Technologies 2019 - [i10]Pierre Humbert, Julien Audiffren, Laurent Oudre, Nicolas Vayatis:
Multivariate Convolutional Sparse Coding with Low Rank Tensor. CoRR abs/1908.03367 (2019) - [i9]Laura Rettig, Julien Audiffren, Philippe Cudré-Mauroux:
Fusing Vector Space Models for Domain-Specific Applications. CoRR abs/1909.02307 (2019) - 2018
- [c7]Alice Nicolaï, Julien Audiffren:
Model-Space Regularization and Fully Interpretable Algorithms for Postural Control Quantification. COMPSAC (2) 2018: 177-182 - 2017
- [c6]Julien Audiffren, Hachem Kadri:
m-Power regularized least squares regression. IJCNN 2017: 1080-1086 - [c5]Julien Audiffren, Liva Ralaivola:
Bandits Dueling on Partially Ordered Sets. NIPS 2017: 2129-2138 - 2016
- [j2]Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren:
Operator-valued Kernels for Learning from Functional Response Data. J. Mach. Learn. Res. 17: 20:1-20:54 (2016) - [j1]Julien Audiffren, Emile Contal:
Preprocessing the Nintendo Wii Board Signal to Derive More Accurate Descriptors of Statokinesigrams. Sensors 16(8): 1208 (2016) - [i8]Julien Audiffren, Liva Ralaivola:
Indistinguishable Bandits Dueling with Decoys on a Poset. CoRR abs/1602.02706 (2016) - [i7]Thomas Moreau, Julien Audiffren:
Post Training in Deep Learning with Last Kernel. CoRR abs/1611.04499 (2016) - 2015
- [c4]Julien Audiffren, Hachem Kadri:
Online Learning with Operator-valued Kernels. ESANN 2015 - [c3]Julien Audiffren, Michal Valko, Alessandro Lazaric, Mohammad Ghavamzadeh:
Maximum Entropy Semi-Supervised Inverse Reinforcement Learning. IJCAI 2015: 3315-3321 - [c2]Julien Audiffren, Liva Ralaivola:
Cornering Stationary and Restless Mixing Bandits with Remix-UCB. NIPS 2015: 3339-3347 - [i6]Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren:
Operator-valued Kernels for Learning from Functional Response Data. CoRR abs/1510.08231 (2015) - 2014
- [i5]Julien Audiffren, Hachem Kadri:
Equivalence of Learning Algorithms. CoRR abs/1406.2622 (2014) - [i4]Julien Audiffren, Liva Ralaivola:
Stationary Mixing Bandits. CoRR abs/1406.6020 (2014) - 2013
- [c1]Julien Audiffren, Hachem Kadri:
Stability of Multi-Task Kernel Regression Algorithms. ACML 2013: 1-16 - [i3]Julien Audiffren, Hachem Kadri:
Stability of Multi-Task Kernel Regression Algorithms. CoRR abs/1306.3905 (2013) - [i2]Julien Audiffren, Hachem Kadri:
M-Power Regularized Least Squares Regression. CoRR abs/1310.2451 (2013) - [i1]Julien Audiffren, Hachem Kadri:
Online Learning with Multiple Operator-valued Kernels. CoRR abs/1311.0222 (2013)
Coauthor Index
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