Search Results - "Computer Science - Machine Learning"

Soft regression trees: A model variant and a decomposition training algorithm

Authors: Antonio Consolo Edoardo Amaldi Andrea Manno

Source: European Journal of Operational Research. 328:607-619

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2501.05942

Optimizing treatment allocation in the presence of interference

Authors: Daan Caljon Jente Van Belle Jeroen Berrevoets et al.

Source: European Journal of Operational Research. 328:620-632

Subject Terms: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Computer Science - Social and Information Networks, Machine Learning (stat.ML), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2410.00075

Text clustering with large language model embeddings

Authors: Alina Petukhova João P. Matos-Carvalho Nuno Fachada

Source: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 100-108 (2025)

Subject Terms: I.7.m, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Artificial Intelligence, I.2.6, Science, I.2.7, QA75.5-76.95, Text summarisation, Machine Learning (cs.LG), Text clustering, Artificial Intelligence (cs.AI), Electronic computers. Computer science, Large language models, 68T50 (Primary), 62H30 (Secondary), Computation and Language (cs.CL)

Access URL: http://arxiv.org/abs/2403.15112
https://doaj.org/article/0d07ddd5e301430f8c147693d73f9264

A third-order finite difference weighted essentially non-oscillatory scheme with shallow neural network

Authors: Kwanghyuk Park Xinjuan Chen Dongjin Lee et al.

Source: Applied Numerical Mathematics. 218:1-21

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Mathematics, Computer Science - Neural and Evolutionary Computing, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2407.06333

Application of machine learning and convex limiting to subgrid flux modeling in the shallow-water equations

Authors: Ilya Timofeyev Alexey Schwarzmann Dmitri Kuzmin

Source: Mathematics and Computers in Simulation. 238:163-178

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Physics - Atmospheric and Oceanic Physics, Statistics - Machine Learning, 65M99, Atmospheric and Oceanic Physics (physics.ao-ph), Fluid Dynamics (physics.flu-dyn), FOS: Physical sciences, Machine Learning (stat.ML), Physics - Fluid Dynamics, Computational Physics (physics.comp-ph), Physics - Computational Physics, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2407.17214

Scalarisation-based risk concepts for robust multi-objective optimisation

Authors: Ben Tu Nikolas Kantas Robert M. Lee et al.

Source: European Journal of Operational Research. 327:559-576

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Optimization and Control (math.OC), FOS: Mathematics, Machine Learning (stat.ML), Mathematics - Optimization and Control, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2405.10221

Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model

Authors: Hans Moen Vishnu Raj Andrius Vabalas et al.

Contributors: Hans Moen Vishnu Raj Andrius Vabalas et al.

Source: Moen, H, Raj, V, Vabalas, A, Perola, M, Kaski, S, Ganna, A & Marttinen, P 2024, ' Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model ', arXiv.org . https://doi.org/10.48550/arXiv.2412.08873

Subject Terms: Computer Science - Machine Learning, EHR, Computer Science - Artificial Intelligence, Transformers, Deep learning, Disease prediction, Longitudinal health trajectories

File Description: application/pdf

Access URL: http://arxiv.org/abs/2412.08873
https://research.manchester.ac.uk/en/publications/430d6c6a-f37c-436a-aecd-fb7c3174f857
https://doi.org/10.48550/arXiv.2412.08873
https://aaltodoc.aalto.fi/handle/123456789/139226

An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning

Authors: Panagiotis Kakosimos Alireza Nemat Saberi Luca Peretti

Source: IEEE Transactions on Power Electronics. 40:16048-16054

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2504.16866

Indiscriminate disruption of conditional inference on multivariate Gaussians

Authors: William N. Caballero Matthew LaRosa Alexander A. Fisher et al.

Source: European Journal of Operational Research. 327:191-202

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Cryptography and Security, Statistics - Machine Learning, Machine Learning (stat.ML), Applications (stat.AP), Statistics - Applications, Cryptography and Security (cs.CR), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2411.14351

EclipseNETs: Learning irregular small celestial body silhouettes

Authors: Giacomo Acciarini Dario Izzo Francesco Biscani

Source: Acta Astronautica. 236:514-521

Subject Terms: Earth and Planetary Astrophysics (astro-ph.EP), FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Physical sciences, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Astrophysics - Earth and Planetary Astrophysics, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2504.04455

A deep learning method for optimal investment under relative performance criteria among heterogeneous agents

Authors: Laurière, Mathieu Tangpi, Ludovic Zhou, Xuchen

Source: European Journal of Operational Research. 326:615-629

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computer Science and Game Theory, Optimization and Control (math.OC), FOS: Mathematics, Mathematics - Optimization and Control, Computer Science and Game Theory (cs.GT), Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2402.07365

Deep active learning: A reality check

Authors: Gashi, Edrina Deng, Jiankang Elezi, Ismail

Source: Pattern Recognition Letters. 197:188-194

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2403.14800

Switchable Deep Beamformer for High-quality and Real-time Passive Acoustic Mapping

Authors: Yi Zeng Jinwei Li Hui Zhu et al.

Source: Ultrasound in Medicine & Biology. 51:1901-1914

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Sound (cs.SD), Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2412.02327

Orthogonal nonnegative matrix factorization with the Kullback–Leibler divergence

Authors: Jean Pacifique Nkurunziza Fulgence Nahayo Nicolas Gillis

Source: Pattern Recognition Letters. 197:353-358

Subject Terms: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), Electrical Engineering and Systems Science - Signal Processing, Information Retrieval (cs.IR), Computer Science - Information Retrieval, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2410.07786

Enriched physics-informed neural networks for dynamic Poisson-Nernst-Planck systems

Authors: Xujia Huang Fajie Wang Benrong Zhang et al.

Source: Mathematics and Computers in Simulation. 237:231-246

Subject Terms: 65M99, 35M33, 68T07, Computer Science - Machine Learning, Physics - Computational Physics

Access URL: http://arxiv.org/abs/2402.01768

Learning Efficiency Meets Symmetry Breaking

Authors: Bai, Yingbin Thiébaux, Sylvie Trevizan, Felipe

Contributors: Bai, Yingbin Thiébaux, Sylvie Trevizan, Felipe

Source: Proceedings of the International Conference on Automated Planning and Scheduling. 35:154-159

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

File Description: application/pdf

Access URL: http://arxiv.org/abs/2504.19738
https://hal.science/hal-05226738v1

A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks

Authors: Kobanda, Anthony Maillard, Odalric-Ambrym Portelas, Rémy

Contributors: Kobanda, Anthony Maillard, Odalric-Ambrym Portelas, Rémy

Source: 2025 IEEE Conference on Games (CoG). :1-8

Subject Terms: Continual Learning, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, Computer Science - Machine Learning, Deep Learning, Bots, Benchmarks, Offline Reinforcement Learning, Human Generated Data, Deep Learning Offline Reinforcement Learning Continual Learning Bots Benchmarks Human Generated Data, Machine Learning (cs.LG)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2506.02883
https://hal.science/hal-05126447v1

SimProcess: High Fidelity Simulation of Noisy ICS Physical Processes

Authors: Denis Donadel Gabriele Crestanello Giulio Morandini et al.

Source: Proceedings of the 11th ACM Cyber-Physical System Security Workshop. :6-18

Subject Terms: Industrial Control System, FOS: Computer and information sciences, Computer Science - Machine Learning, Power grid, Computer Science - Cryptography and Security, Honeypot, Noice, Physical process, Cryptography and Security (cs.CR), Simulation, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2505.22638

SurvUnc: A Meta-Model Based Uncertainty Quantification Framework for Survival Analysis

Authors: Yu Liu Weiyao Tao Tong Xia et al.

Source: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :1903-1914

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Emerging Technologies (cs.ET), Computer Science - Artificial Intelligence, Computer Science - Emerging Technologies, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2505.14803

HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection

Authors: Frantzen, Florian Schaub, Michael Thomas

Source: Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. :626-636

Subject Terms: Social and Information Networks (cs.SI), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Social and Information Networks, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2505.24534
https://publications.rwth-aachen.de/record/1012595