Výsledky vyhledávání - "Computer Science - Machine Learning"

Text clustering with large language model embeddings

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

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

Témata: 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)

Přístupová URL adresa: 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

Autoři: Kwanghyuk Park Xinjuan Chen Dongjin Lee a další

Zdroj: Applied Numerical Mathematics. 218:1-21

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2407.06333

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

Autoři: Ilya Timofeyev Alexey Schwarzmann Dmitri Kuzmin

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

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2407.17214

Scalarisation-based risk concepts for robust multi-objective optimisation

Autoři: Ben Tu Nikolas Kantas Robert M. Lee a další

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

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2405.10221

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

Autoři: Hans Moen Vishnu Raj Andrius Vabalas a další

Přispěvatelé: Hans Moen Vishnu Raj Andrius Vabalas a další

Zdroj: 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

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

Popis souboru: application/pdf

Přístupová URL adresa: 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

Autoři: Panagiotis Kakosimos Alireza Nemat Saberi Luca Peretti

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

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

Přístupová URL adresa: http://arxiv.org/abs/2504.16866

Indiscriminate disruption of conditional inference on multivariate Gaussians

Autoři: William N. Caballero Matthew LaRosa Alexander A. Fisher a další

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

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2411.14351

EclipseNETs: Learning irregular small celestial body silhouettes

Autoři: Giacomo Acciarini Dario Izzo Francesco Biscani

Zdroj: Acta Astronautica. 236:514-521

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2504.04455

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

Autoři: Laurière, Mathieu Tangpi, Ludovic Zhou, Xuchen

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

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2402.07365

Deep active learning: A reality check

Autoři: Gashi, Edrina Deng, Jiankang Elezi, Ismail

Zdroj: Pattern Recognition Letters. 197:188-194

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2403.14800

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

Autoři: Yi Zeng Jinwei Li Hui Zhu a další

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

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2412.02327

Orthogonal nonnegative matrix factorization with the Kullback–Leibler divergence

Autoři: Jean Pacifique Nkurunziza Fulgence Nahayo Nicolas Gillis

Zdroj: Pattern Recognition Letters. 197:353-358

Témata: 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)

Přístupová URL adresa: http://arxiv.org/abs/2410.07786

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

Autoři: Xujia Huang Fajie Wang Benrong Zhang a další

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

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

Přístupová URL adresa: http://arxiv.org/abs/2402.01768

Into the Void: Mapping the Unseen Gaps in High Dimensional Data

Autoři: Xinyu Zhang Tyler Estro Geoff Kuenning a další

Zdroj: IEEE Transactions on Visualization and Computer Graphics. 31:8578-8591

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Human-Computer Interaction, Machine Learning (cs.LG), Human-Computer Interaction (cs.HC)

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40408209
http://arxiv.org/abs/2501.15273

Deep learning and NLP in cryptocurrency forecasting: Integrating financial, blockchain, and social media data

Autoři: Vincent Gurgul Stefan Lessmann Wolfgang Karl Härdle

Zdroj: International Journal of Forecasting. 41:1666-1695

Témata: FOS: Economics and business, FOS: Computer and information sciences, Computer Science - Machine Learning, Statistical Finance (q-fin.ST), Statistics - Machine Learning, Quantitative Finance - Statistical Finance, Machine Learning (stat.ML), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2311.14759

Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables

Autoři: Taesik Gong SiYoung Jang Utku Günay Acer a další

Zdroj: IEEE Transactions on Mobile Computing. 24:9319-9333

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2401.08637

Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics

Autoři: Yile Chen Xiucheng Li Gao Cong a další

Zdroj: IEEE Transactions on Mobile Computing. 24:9413-9427

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2403.11495

Edge Large AI Models: Revolutionizing 6G Networks

Autoři: Wang, Zixin Shi, Yuanming Zhou, Yong a další

Zdroj: IEEE Communications Magazine. 63:36-42

Témata: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2505.00321

Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation

Autoři: Shi, Haonan Ouyang, Tu Wang, An

Zdroj: Proceedings on Privacy Enhancing Technologies. 2025:201-215

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Cryptography and Security, Cryptography and Security (cs.CR), Machine Learning (cs.LG)

Přístupová URL adresa: http://arxiv.org/abs/2502.08001

Toward Attention-Based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow

Autoři: Philip Wiese Gamze İslamoğlu Moritz Scherer a další

Zdroj: IEEE Design & Test. 42:63-72

Témata: FOS: Computer and information sciences, Neural Networks, TinyML, Deployment, Transformers, Accelerators, Computer Science - Machine Learning, TinyML, Transformers, Neural Networks, Deployment, Accelerators, Hardware Architecture (cs.AR), Computer Science - Hardware Architecture, 7. Clean energy, Neural networks, Machine Learning (cs.LG)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2408.02473
https://ieeexplore.ieee.org/document/10833747
https://hdl.handle.net/11583/2996569
https://doi.org/10.1109/mdat.2025.3527371
https://hdl.handle.net/11585/1000948
https://ieeexplore.ieee.org/document/10833747
https://doi.org/10.1109/mdat.2025.3527371