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

Συγγραφείς: Guilhem Fauré, Mostafa Sadeghi, Sam Bigeard, Slim Ouni

Συνεισφορές: Fauré, Guilhem

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

Θεματικοί όροι: 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)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2508.14574

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

Συγγραφείς: Nilesh Verma, Albert Bifet, Bernhard Pfahringer, Maroua Bahri

Συνεισφορές: Bahri, Maroua

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

Θεματικοί όροι: [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

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: 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

Συγγραφείς: Hector Kohler, Riad Akrour, Philippe Preux

Συνεισφορές: Kohler, Hector

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

Θεματικοί όροι: [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)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: 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

Συγγραφείς: Nicolas Violante, Andréas Meuleman, Alban Gauthier, Fredo Durand, Thibault Groueix, George Drettakis

Συνεισφορές: Reves, Team

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

Θεματικοί όροι: 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)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2506.06462

ECGrecover: A Deep Learning Approach for Electrocardiogram Signal Completion

Συγγραφείς: Lence, Alex, Granese, Federica, Fall, Ahmad, Hanczar, Blaise, Salem, Joe-Elie, Zucker, Jean-Daniel, Prifti, Edi

Συνεισφορές: Davesne, Frédéric

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

Θεματικοί όροι: [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)

Σύνδεσμος πρόσβασης: 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

Συγγραφείς: Agliz, Yasmine, Audigier, Vincent, Niang, Ndèye, Nadif, Mohamed

Συνεισφορές: AGLIZ, Yasmine

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

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

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hal.science/hal-05047384v1

Rank-based Linear-Quadratic Surrogate Assisted CMA-ES

Συγγραφείς: Mohamed Gharafi, Nikolaus Hansen, Rodolphe Le Riche, Dimo Brockhoff

Συνεισφορές: GHARAFI, Mohamed

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

Θεματικοί όροι: 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]

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hal.science/hal-05035436v1

The Cost of Packet Loss on ML-Based Traffic Analysis

Συγγραφείς: Hugon, Johann, Schmitt, Paul, Bronzino, Francesco

Συνεισφορές: Hugon, Johann

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

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

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: 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

Συγγραφείς: Tran, Thu-Le, Elvira, Clément, Dang, Hong-Phuong, Herzet, Cédric

Συνεισφορές: Elvira, Clément

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

Θεματικοί όροι: 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)

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: 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

Συγγραφείς: Castro-Correa, Jhon, Badiey, Mohsen, Giraldo, Jhony, Malliaros, Fragkiskos

Συνεισφορές: Giraldo, Jhony H.

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

Θεματικοί όροι: [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

Συγγραφείς: Pacaud, Alexandre, Bechler, Aurelien, Coupechoux, Marceau

Συνεισφορές: Coupechoux, Marceau

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

Θεματικοί όροι: [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)

Σύνδεσμος πρόσβασης: 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

Συγγραφείς: Cazorla, Clément, Munier, Nathanaël, Morin, Renaud, Weiss, Pierre

Συνεισφορές: Cazorla, Clément

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

Θεματικοί όροι: 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

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: 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

Συγγραφείς: Molière, Sébastien, Hamzaoui, Dimitri, Ploussard, Guillaume, Mathieu, Romain, Fiard, Gaëlle, Baboudjian, Michael, granger, benjamin, Roupret, Morgan, Delingette, Hervé, Renard-Penna, Raphaële

Συνεισφορές: Service de radiologie Strasbourg, Centre Hospitalier Universitaire Strasbourg (CHU Strasbourg), Les Hôpitaux Universitaires de Strasbourg (HUS)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Hôpital de Hautepierre Strasbourg, Institut de Cancérologie de Strasbourg Europe (ICANS), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Aalto University, Clinique La Croix du Sud, Pôle IUCT CHU Toulouse, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique EHESP (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes (Biosit : Biologie - Santé - Innovation Technologique), Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525 (TIMC), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA), Hôpital Nord CHU - APHM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (iPLESP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Groupe de Recherche Clinique Onco-Urologie Prédictive (GRC 5), Sorbonne Université (SU), CHU Pitié-Salpêtrière AP-HP, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Société Française de Radiologie, ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)

Πηγή: European Urology Oncology. 8:1182-1202

Θεματικοί όροι: 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

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/39547898

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

Συγγραφείς: Brebion, Vincent, Moreau, Julien, Davoine, Franck

Συνεισφορές: Brebion, Vincent

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

Θεματικοί όροι: 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]

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: 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*

Συγγραφείς: Youssef, Ayah, Noura, Hassan, Dabaja, Hassan, El-Adel, El-Mostafa, Ouladsine, Mustapha

Συνεισφορές: Youssef, Ayah

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

Θεματικοί όροι: [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG]

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: 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

Συγγραφείς: Xu, Jiali, Loscrì, Valeria

Συνεισφορές: Xu, Jiali

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

Θεματικοί όροι: 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

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hal.science/hal-05055815v2

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

Συγγραφείς: Chillet, Alice, Gerzaguet, Robin, Desnos, Karol, Bazerque, Paul, Nogues, Erwan, Gautier, Matthieu

Συνεισφορές: Gautier, Matthieu

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

Θεματικοί όροι: 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

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hal.science/hal-05206721v1

Deep Unrolled Architecture for Fast and Accurate Gaussian Independent Vector Analysis

Συγγραφείς: Blaise, Gaspard, Cosserat, Clément, Chouzenoux, Emilie, Pesquet, Jean-Christophe, Adali, Tülay

Συνεισφορές: Chouzenoux, Emilie

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

Θεματικοί όροι: 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

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://inria.hal.science/hal-05056650v1

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

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

Συνεισφορές: Palud, Pierre

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

Θεματικοί όροι: 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

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hal.science/hal-05126577v1

Multi-Cell Outdoor Channel State Information Dataset (MOCSID)

Συγγραφείς: Makhlouf, Mohamed El Mehdi, Guillaud, Maxime, Vindas, Yamil

Συνεισφορές: MAKHLOUF, Mohamed El Mehdi

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

Θεματικοί όροι: 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

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hal.science/hal-05037063v1