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, Jiaxi Gu, Jae-Hun Jung

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, Behrang Shafei

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, Markus Perola, Samuel Kaski, Andrea Ganna, Pekka Marttinen

Contributors: Department of Computer Science, Professorship Marttinen P., Professorship Kaski Samuel, Computer Science Professors, Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area, Finnish Center for Artificial Intelligence, FCAI, Probabilistic Machine Learning, Helsinki Institute for Information Technology (HIIT), University of Helsinki, Finnish Institute for Health and Welfare (THL), Aalto-yliopisto, Aalto University

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, Vahid Tarokh

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, Shukuan Lu, Jianfeng Li, Xiran Cai

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, Hanqing Liu

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

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

Authors: Xinyu Zhang, Tyler Estro, Geoff Kuenning, Erez Zadok, Klaus Mueller

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

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

Access URL: 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

Authors: Vincent Gurgul, Stefan Lessmann, Wolfgang Karl Härdle

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

Subject Terms: 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)

Access URL: http://arxiv.org/abs/2311.14759

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

Authors: Taesik Gong, SiYoung Jang, Utku Günay Acer, Fahim Kawsar, Chulhong Min

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

Subject Terms: 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)

Access URL: http://arxiv.org/abs/2401.08637

Semantic-Enhanced Representation Learning for Road Networks With Temporal Dynamics

Authors: Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long

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

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

Access URL: http://arxiv.org/abs/2403.11495

Edge Large AI Models: Revolutionizing 6G Networks

Authors: Wang, Zixin, Shi, Yuanming, Zhou, Yong, Zhu, Jingyang, Letaief, Khaled. B.

Source: IEEE Communications Magazine. 63:36-42

Subject Terms: 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)

Access URL: http://arxiv.org/abs/2505.00321

Unveiling Client Privacy Leakage from Public Dataset Usage in Federated Distillation

Authors: Shi, Haonan, Ouyang, Tu, Wang, An

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

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

Access URL: http://arxiv.org/abs/2502.08001

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

Authors: Philip Wiese, Gamze İslamoğlu, Moritz Scherer, Luka Macan, Victor Jean-Baptiste Jung, Alessio Burrello, Francesco Conti, Luca Benini

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

Subject Terms: 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)

File Description: application/pdf

Access URL: 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