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- Docking and Machine Learning approaches to explore new scaffolds for molecules of therapeutic interest. (Approches de docking et de Machine Learning pour l'exploration de nouveaux « scaffolds » lors de la recherche de molécules d'intérêt thérapeutique).#489534
- Compression and federated learning: an approach to frugal machine learning. (Compression et apprentissage fédéré: une approche pour l'apprentissage machine frugal).#489533
- Resilience-as-a-Service for 5G RAN driven by Machine Learning methods. (La résilience en tant que service à la demande des réseaux 5G dirigée par le Machine Learning).#489532
- Machine learning-driven analysis of success factors in blockchain token sales. (Analyse des facteurs de succès dans les ventes de tokens blockchain basée sur le machine learning).#489531
- Subsea optical links characterization assisted by machine learning. (Caractérisation des liaisons optiques sous-marines assistée par machine learning).#489530
- Multivariate echocardiographic analysis integrating signal processing and machine learning. (Analyse échocardiographique multivariée intégrant traitement du signal et machine learning).#489529
- Extreme Learning Machine for embedded neural networks. (Extreme Learning Machine pour réseau de neurones embarqué).#489528
- Machine learning for fetal ultrasound image analysis using privileged information. (Machine learning pour l'analyse d'échographies fœtales avec l'utilisation d'information privilégiée).#489527
- Analyse et développement de nouveaux optimiseurs en Machine Learning. (Analysis and development of new optimizers in Machine Learning).#489526
- Representation learning methods for robotic perception and learning - at the intersection of computational neuroscience and machine learning.#489525
- Secrets of Machine Learning - How It Works and What It Means for You#489524
- Sustainability of Machine Learning-Enabled Systems: The Machine Learning Practitioner's Perspective.#489523
- A Rapid Physics-Informed Machine Learning Framework Based on Extreme Learning Machine for Inverse Stefan Problems.#489522
- Fourier Learning Machines: Nonharmonic Fourier-Based Neural Networks for Scientific Machine Learning.#489521
- TofuML: A Spatio-Physical Interactive Machine Learning Device for Interactive Exploration of Machine Learning for Novices.#489520
- Qiskit Machine Learning: an open-source library for quantum machine learning tasks at scale on quantum hardware and classical simulators.#489519
- Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers.#489518
- Proceedings of 2025 2nd International Conference on Machine Learning and Intelligent Computing (MLIC 2025), 25-27 April 2025, Zhengzhou, China#489517
- Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 15-16 August 2025, Mayo Clinic, Rochester, MN, USA#489516
- Proceedings of the 2nd ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", 26 October 2025, Bologna, Italy#489515
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