Search Results - "[INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]"

Towards Skeletal and Signer Noise Reduction in Sign Language Production via Quaternion-Based Pose Encoding and Contrastive Learning

Authors: Guilhem Fauré Mostafa Sadeghi Sam Bigeard et al.

Contributors: Guilhem Fauré Mostafa Sadeghi Sam Bigeard et al.

Source: Adjunct Proceedings of the 25th ACM International Conference on Intelligent Virtual Agents. :1-9

Subject Terms: Machine Learning, FOS: Computer and information sciences, Deep Learning, Contrastive Learning, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Sign Language Production, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Computation and Language, Pose Encoding, Computation and Language (cs.CL), Machine Learning (cs.LG)

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Access URL: http://arxiv.org/abs/2508.14574

Bayesian Stream Tuner: Dynamic Hyperparameter Optimization for Real-Time Data Streams

Authors: Nilesh Verma Albert Bifet Bernhard Pfahringer et al.

Contributors: Nilesh Verma Albert Bifet Bernhard Pfahringer et al.

Source: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :2871-2882

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Bayesian Optimization, Real-time Learning, Online Hyperparameter Optimization, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Adaptive Learning, Data Stream Mining

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Access URL: https://hal.science/hal-05210830v1
https://hal.science/hal-05210830v1/document
https://doi.org/10.1145/3711896.3736852

Breiman meets Bellman: Non-Greedy Decision Trees with MDPs

Authors: Hector Kohler Riad Akrour Philippe Preux et al.

Contributors: Hector Kohler Riad Akrour Philippe Preux et al.

Source: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :1207-1218

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, decision tree, Tabular data, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Markov decision process, Machine Learning (cs.LG)

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Access URL: http://arxiv.org/abs/2309.12701
https://hal.science/hal-05097382v1
https://hal.science/hal-05097382v1/document
https://doi.org/10.1145/3711896.3736868

Splat and Replace: 3D Reconstruction with Repetitive Elements

Authors: Nicolas Violante Andréas Meuleman Alban Gauthier et al.

Contributors: Nicolas Violante Andréas Meuleman Alban Gauthier et al.

Source: Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers. :1-12

Subject Terms: FOS: Computer and information sciences, Segmentation, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Science - Graphics, Repetitions, Computer Vision and Pattern Recognition (cs.CV), [INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR], Computer Science - Computer Vision and Pattern Recognition, Matching, 3D Gaussian Splatting, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Graphics (cs.GR)

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Access URL: http://arxiv.org/abs/2506.06462

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion

Authors: Lence, Alex Granese, Federica Fall, Ahmad et al.

Contributors: Lence, Alex Granese, Federica Fall, Ahmad et al.

Source: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1. :2359-2370

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2406.16901
https://univ-evry.hal.science/hal-05195520v1
https://doi.org/10.1145/3690624.3709405

Joint dimensionality reduction and clustering with missing data

Authors: Agliz, Yasmine Audigier, Vincent Niang, Ndèye et al.

Contributors: Agliz, Yasmine Audigier, Vincent Niang, Ndèye et al.

Source: 2025 International Conference on Advanced Machine Learning and Data Science (AMLDS). :163-168

Subject Terms: Subspace clustering, Missing data, Multiple imputation, Multiple Factor Analysis, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [MATH] Mathematics [math]

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Access URL: https://hal.science/hal-05047384v1

Rank-based Linear-Quadratic Surrogate Assisted CMA-ES

Authors: Mohamed Gharafi Nikolaus Hansen Rodolphe Le Riche et al.

Contributors: Mohamed Gharafi Nikolaus Hansen Rodolphe Le Riche et al.

Source: Proceedings of the Genetic and Evolutionary Computation Conference Companion. :679-682

Subject Terms: Surrogate-assisted optimization, Surrogate models, Invariance, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], CMA-ES, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]

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Access URL: https://hal.science/hal-05035436v1

The Cost of Packet Loss on ML-Based Traffic Analysis

Authors: Hugon, Johann Schmitt, Paul Bronzino, Francesco

Contributors: Hugon, Johann Schmitt, Paul Bronzino, Francesco

Source: 2025 IEEE 31st International Symposium on Local and Metropolitan Area Networks (LANMAN). :1-6

Subject Terms: [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]

File Description: application/pdf

Access URL: https://hal.science/hal-05268543v1
https://hal.science/hal-05268543v1/document
https://doi.org/10.1109/lanman66415.2025.11154586

One to beat them all: 'RYU' – a unifying framework for the construction of safe balls

Authors: Tran, Thu-Le Elvira, Clément Dang, Hong-Phuong et al.

Contributors: Tran, Thu-Le Elvira, Clément Dang, Hong-Phuong et al.

Source: Open Journal of Mathematical Optimization. 6:1-16

Subject Terms: Machine Learning, FOS: Computer and information sciences, Optimization and Control (math.OC), Optimization and Control, FOS: Mathematics, safe regions, [MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC], Machine Learning (stat.ML), [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Convex optimization, screening rules, Machine Learning (cs.LG)

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Access URL: http://arxiv.org/abs/2312.00640
https://hal.science/hal-04318380v3
https://doi.org/10.5802/ojmo.45
https://hal.science/hal-04318380v3/document

Semi-supervised graph learning for underwater source localization using ship-of-opportunity spectrograms

Authors: Castro-Correa, Jhon Badiey, Mohsen Giraldo, Jhony et al.

Contributors: Castro-Correa, Jhon Badiey, Mohsen Giraldo, Jhony et al.

Source: The Journal of the Acoustical Society of America. 158:1836-1848

Subject Terms: [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [PHYS.MECA.ACOU] Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph]

Bidding Efficiently in Simultaneous Ascending Auctions With Incomplete Information Using Monte Carlo Tree Search and Determinization

Authors: Pacaud, Alexandre Bechler, Aurelien Coupechoux, Marceau

Contributors: Pacaud, Alexandre Bechler, Aurelien Coupechoux, Marceau

Source: IEEE Transactions on Games. 17:813-826

Subject Terms: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Determinization, Artificial intelligence, Uncertainty, Monte Carlo methods, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Vectors, Bayes methods, Ascending Auctions, Exposure, Licenses, Computer Science - Computer Science and Game Theory, Simultaneous Move Monte Carlo Tree Search, Search problems, Regulators, [INFO.INFO-GT] Computer Science [cs]/Computer Science and Game Theory [cs.GT], Training, Own price effect, Games, Risk-aversion, Computer Science and Game Theory (cs.GT)

Access URL: http://arxiv.org/abs/2407.11715
https://telecom-paris.hal.science/hal-05118567v1
https://doi.org/10.1109/tg.2025.3552025

Sketchpose: Learning to Segment Cells with Partial Annotations

Authors: Cazorla, Clément Munier, Nathanaël Morin, Renaud et al.

Contributors: Cazorla, Clément Munier, Nathanaël Morin, Renaud et al.

Source: Machine Learning for Biomedical Imaging. 3:367-381

Subject Terms: FOS: Computer and information sciences, Segmentation, [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], Distance map, Computer Vision and Pattern Recognition (cs.CV), [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Frugal learning, Napari, Deep learning, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Computer Vision and Pattern Recognition, Cellpose

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Access URL: http://arxiv.org/abs/2508.17798

A Systematic Review of the Diagnostic Accuracy of Deep Learning Models for the Automatic Detection, Localization, and Characterization of Clinically Significant Prostate Cancer on Magnetic Resonance Imaging

Authors: Molière, Sébastien Hamzaoui, Dimitri Ploussard, Guillaume et al.

Contributors: Molière, Sébastien Hamzaoui, Dimitri Ploussard, Guillaume et al.

Source: European Urology Oncology. 8:1182-1202

Subject Terms: Artificial intelligence, Magnetic resonance imaging, Prostate cancer, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], Systematic review, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Deep learning, [SDV.CAN]Life Sciences [q-bio]/Cancer, Diagnostic accuracy, [SDV.MHEP.UN]Life Sciences [q-bio]/Human health and pathology/Urology and Nephrology

Access URL: https://pubmed.ncbi.nlm.nih.gov/39547898

DELTA: Dense Depth from Events and LiDAR Using Transformer's Attention

Authors: Brebion, Vincent Moreau, Julien Davoine, Franck

Contributors: Brebion, Vincent Moreau, Julien Davoine, Franck

Source: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :4898-4907

Subject Terms: FOS: Computer and information sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, I.4.8, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]

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Access URL: http://arxiv.org/abs/2505.02593
https://hal.science/hal-05057148v1/document
https://hal.science/hal-05057148v1

Unsupervised Time Series Fault Detection on Marine Dual Fuel Engines Exhaust System using LSTM-AE*

Authors: Youssef, Ayah Noura, Hassan Dabaja, Hassan et al.

Contributors: Youssef, Ayah Noura, Hassan Dabaja, Hassan et al.

Source: 2025 33rd Mediterranean Conference on Control and Automation (MED). :72-77

Subject Terms: [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]

File Description: application/pdf

Access URL: https://amu.hal.science/hal-05065731v1
https://doi.org/10.1109/med64031.2025.11073222
https://amu.hal.science/hal-05065731v1/document

Leveraging UE-Level Collaborative Intelligence for Scalable Jamming Detection in 5G Networks

Authors: Xu, Jiali Loscrì, Valeria

Contributors: Xu, Jiali Loscrì, Valeria

Source: 2025 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). :793-797

Subject Terms: Collaborative Intelligence, [INFO.INFO-MC] Computer Science [cs]/Mobile Computing, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Distributed Systems, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Anomaly Detection, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], 5G Security, Edge Intelligence

File Description: application/pdf

Access URL: https://hal.science/hal-05055815v2

Data Diversity for a Channel-Resilient Training Database for Radio Frequency Fingerprint Identification

Authors: Chillet, Alice Gerzaguet, Robin Desnos, Karol et al.

Contributors: Chillet, Alice Gerzaguet, Robin Desnos, Karol et al.

Source: 2025 IEEE International Conference on Communications Workshops (ICC Workshops). :2162-2167

Subject Terms: Deep Learning, Radio Frequency Fingerprint, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], RF impairments models, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

File Description: application/pdf

Access URL: https://hal.science/hal-05206721v1

Deep Unrolled Architecture for Fast and Accurate Gaussian Independent Vector Analysis

Authors: Blaise, Gaspard Cosserat, Clément Chouzenoux, Emilie et al.

Contributors: Blaise, Gaspard Cosserat, Clément Chouzenoux, Emilie et al.

Source: 2025 IEEE Statistical Signal Processing Workshop (SSP). :241-245

Subject Terms: Joint blind source separation (JBSS), independent vector analysis, proximal alternating algorithm, deep unrolling, proximal alternating linearized minimization (PALM), Gaussian independent vector analysis (IVA-G), medical imaging, Blind source separation, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], UMBC Ebiquity Research Group

File Description: application/pdf

Access URL: https://inria.hal.science/hal-05056650v1

Synthetic-data-driven Plug-and-Play method for inverse problems on bivariate signals

Authors: Palud, Pierre Chassande-Mottin, Eric Pilavci, Yusuf Yigit

Contributors: Palud, Pierre Chassande-Mottin, Eric Pilavci, Yusuf Yigit

Source: 2025 IEEE Statistical Signal Processing Workshop (SSP). :156-160

Subject Terms: Plug-and-play algorithm, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, inverse problem, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], synthetic data, regularization function, bivariate signal processing

File Description: application/pdf

Access URL: https://hal.science/hal-05126577v1

Multi-Cell Outdoor Channel State Information Dataset (MOCSID)

Authors: Makhlouf, Mohamed El Mehdi Guillaud, Maxime Vindas, Yamil et al.

Contributors: Makhlouf, Mohamed El Mehdi Guillaud, Maxime Vindas, Yamil et al.

Source: 2025 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit). :85-90

Subject Terms: Self-supervised learning, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Channel state information, Ray tracing, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Dimensionality reduction, Dataset

File Description: application/pdf

Access URL: https://hal.science/hal-05037063v1