Výsledky vyhledávání - "Contrastive Learning"

Improved Contrastive Predictive Coding for Time Series Out-Of-Distribution Detection Applied to Human Activity Data

Autoři: Ahmadian, Amirhossein Lindsten, Fredrik

Zdroj: Pattern Recognition Letters. 197:132-138

Témata: Out-Of-Distribution/anomaly/novelty, detection, Self-supervised machine learning, Contrastive learning, Human activity recognition, Time series analysis, Deep learning

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-217248
https://doi.org/10.1016/j.patrec.2025.07.011

Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis

Autoři: Muhammad, Dost Ahmed, Iftikhar Ahmad, Muhammad Ovais, Associate Professor/Lektor a další

Zdroj: IEEE journal of biomedical and health informatics. 29(9):6474-6481

Témata: Contrastive Learning, Deep learning, Diseases, Federated learning, Explainable AI, Extreme learning machine, Functional links, Healthcare, Learning machines, Neural-networks, Random vector functional link, Random vectors, Randomized neural network, Adversarial machine learning, Computer Science, Datavetenskap

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-102438
https://doi.org/10.1109/JBHI.2024.3491593

EDDINet: Enhancing drug–drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning

Autoři: Wang, Hong Zhuang, Luhe Ding, Yijie a další

Zdroj: Artificial Intelligence in Medicine. 159:1-13

Témata: Consensus regularization, Contrastive learning, DDI prediction, Information flow, Multi-graph

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-55055
https://doi.org/10.1016/j.artmed.2024.103029

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

Autoři: Guilhem Fauré Mostafa Sadeghi Sam Bigeard a další

Přispěvatelé: Guilhem Fauré Mostafa Sadeghi Sam Bigeard a další

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

Témata: 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)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2508.14574

Classification using hyperdimensional computing: a review with comparative analysis

Autoři: Vergés, Pere Heddes, Mike Nunes, Igor a další

Zdroj: Artificial Intelligence Review. 58(6)

Témata: Contrastive Learning, Health risks, Bit-flips, Classification methods, Comparative analyzes, Distributed representation, High-dimensional, Higher-dimensional, Hyperdimensional computing, Machine-learning, Performance, Vector symbolic architecture, Benchmarking

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-78329
https://doi.org/10.1007/s10462-025-11181-2

Towards Trustworthy Machine Learning in Production: An Overview of the Robustness in MLOps Approach

Autoři: Bayram, Firas Ahmed, Bestoun S.

Zdroj: ACM Computing Surveys. 57(5)

Témata: Contrastive Learning, Dataops, Machine learning operation system, Machine learning systems, Machine-learning, Modeling performance, Modelop, Operation system, Robustness, Trustworthy artificial intelligence, Adversarial machine learning, Computer Science, Datavetenskap

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-103395
https://doi.org/10.1145/3708497

Federated learning at the edge in Industrial Internet of Things: A review

Autoři: Kumar Sah, Dinesh Vahabi, Maryam Fotouhi, Hossein

Zdroj: Sustainable Computing. 46

Témata: Anomaly detection (AD), Edge computing (EC), Federated learning (FL), Industrial Internet of Things (IIoT), Machine learning (ML), Privacy preservation (PP), Adversarial machine learning, Contrastive Learning, Differential privacy, Anomaly detection, Edge computing, Federated learning, Industrial internet of thing, Machine learning, Machine-learning, Privacy preservation

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-70296
https://doi.org/10.1016/j.suscom.2025.101087

i-CLTP: Integrated contrastive learning with transformer framework for traffic state prediction and network-wide analysis

Autoři: Jia, Ruo Gao, Kun Liu, Yang a další

Zdroj: Digitala verktyg för hållbar planering och hantering av delad mikromobilitet med hjälp av Big Data Eldrivna multimodala transportsystem för att stärka urban tillgänglighet och konnektivitet (eMATS) Transportation Research, Part C: Emerging Technologies. 171

Témata: Soft clustering, Traffic state prediction, Fundamental diagram, Transformer, Contrastive learning

Popis souboru: electronic

Přístupová URL adresa: https://research.chalmers.se/publication/544528
https://research.chalmers.se/publication/544528/file/544528_Fulltext.pdf

Predicting Depression in Older Adults: A Novel Feature Selection and Neural Network Framework

Autoři: Javeed, Ashir Anderberg, Peter, Professor Ghazi, Ahmad Nauman a další

Zdroj: SNAC Neural Processing Letters. 57(3)

Témata: Depression, Feature selection, Lasso, Neural networks, Optimization, Relief, Contrastive Learning, Risk analysis, Risk assessment, Feature selection methods, Features selection, Network frameworks, Neural-networks, Older adults, Optimisations, Performance

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27770
https://doi.org/10.1007/s11063-025-11760-y

Ranking approaches for similarity-based web element location

Autoři: Coppola, Riccardo Feldt, Robert Nass, Michel a další

Zdroj: Journal of Systems and Software. 222

Témata: GUI testing, Test automation, Test case robustness, Web element locators, XPath locators, Learning to rank, Mean-ranks, Ranking approach, Test case, WEB application, Web applications, Web element locator, Xpath locator, Contrastive Learning

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27257
https://doi.org/10.1016/j.jss.2024.112286

Improving auditory attention decoding in noisy environments for listeners with hearing impairment through contrastive learning

Autoři: Sridhar, Gautam Boselli, Sofia Skoglund, Martin a další

Zdroj: Journal of Neural Engineering. 22(3)

Témata: auditory attention decoding, cocktail party problem, contrastive learning, stimulus reconstruction, hearing impairment

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-215388
https://doi.org/10.1088/1741-2552/ade28a

Gen-JEMA: enhanced explainability using generative joint embedding multimodal alignment for monitoring directed energy deposition

Autoři: Ferreira, José Darabi, Roya Sousa, Armando a další

Zdroj: Journal of Intelligent Manufacturing.

Témata: Artificial intelligence, Transference, Embedding representation, Contrastive learning, Metal additive manufacturing, Produktionsutveckling, Manufacturing Systems Engineering

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-112664
https://doi.org/10.1007/s10845-025-02614-4

Contrastive Learning for Lane Detection via cross-similarity

Autoři: Zoljodi, Ali Abadijou, S. Alibeigi, M. a další

Zdroj: Pattern Recognition Letters. 185:175-183

Témata: Contrastive learning, Convolutional neural networks, Lane detection, Adversarial machine learning, Road and street markings, Self-supervised learning, Semi-supervised learning, Condition, Convolutional neural network, Detection models, Input image, Lane markings, Learning methods, Local feature, Real-world scenario, Shape priors

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-68260
https://doi.org/10.1016/j.patrec.2024.08.007

Tensor decomposition of EEG signals for transfer learning applications

Autoři: Karlsson, Linda Fallenius, Emma Bergeling, Carolina a další

Zdroj: eLLIIT – The Linköping – Lund Initiative on IT and Mobile Communication Brain-Computer Interfaces. 11(4):178-192

Témata: BCI calibration, Brain–computer interface, similarity measure, tensor decomposition, transfer learning, Contrastive Learning, Brain–computer interface calibration, Calibration problems, EEG signals, matrix, Motor imagery tasks, S-factor, Universal structures, Tensors

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26998
https://doi.org/10.1080/2326263X.2024.2401663

Improving BERTScore for Machine Translation Evaluation Through Contrastive Learning

Autoři: Tang, Gongbo Yousuf, Oreen Jin, Zeying

Zdroj: IEEE Access. 12:77739-77749

Témata: Task analysis, Measurement, Computational modeling, Data models, Correlation, Comets, Mathematical models, Contrast resolution, Natural language processing, Translational research, BERTScore, contrastive learning, low-resource languages, machine translation evaluation

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-533037
https://doi.org/10.1109/ACCESS.2024.3406993

Training sound event classifiers using different types of supervision

Autoři: Fonseca, Eduardo

Přispěvatelé: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Serra, Xavier, Font, Frederic

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Sound event, Environmental sound, Classification, Tagging, Supervision, Audio dataset, Data collection, Weak labels, Convolutional neural networks, Shift invariance, Label noise, Self-supervision, Contrastive learning, Audio representation learning, Evento sonoro, Sonido ambiental, Clasificación, Supervisión, Creación de datasets, Ruido de etiquetas, Auto-supervisión, Aprendizaje contrastivo, Aprendizaje de representaciones de audio

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/673067

A simple contrastive embedding framework for low-resource fake news detection

Autoři: Iftitahu Ni’mah Rini Wijayanti Agung Santosa a další

Zdroj: Neural Computing and Applications. 37:21407-21433

Témata: BERT embeddings, Fake news detection, Contrastive learning, Low-resource scenario, Extreme class imbalance

Přístupová URL adresa: https://research.tue.nl/en/publications/04c1b393-e0a2-4c6d-95e0-aac11db9dda7
https://doi.org/10.1007/s00521-025-11467-0

CAGT: Sim-to-Real Depth Completion With Interactive Embedding Aggregation and Geometry Awareness for Transparent Objects

Autoři: Jing, Xingshuo Qian, Kun Vincze, Markus

Zdroj: IEEE Transactions on Circuits and Systems for Video Technology. 35:6656-6670

Témata: Sim-to-real, contrastive learning, depth completion, geometry-aware

Learning Actionable World Models for Industrial Process Control

Autoři: Yan, Peng Abdulkadir, Ahmed Schatte, Gerrit A. a další

Zdroj: 2025 IEEE Swiss Conference on Data Science (SDS). :111-118

Témata: FOS: Computer and information sciences, Computer Science - Machine Learning, JEPA, I.2.4, Computer Science - Artificial Intelligence, Disentangled preresentations, Systems and Control (eess.SY), Contrastive learning, 006: Spezielle Computerverfahren, Electrical Engineering and Systems Science - Systems and Control, I.2.0, Machine Learning (cs.LG), Artificial Intelligence (cs.AI), FOS: Electrical engineering, electronic engineering, information engineering

Přístupová URL adresa: http://arxiv.org/abs/2503.01411

Weakly-Supervised Semantic Space Structuring: Cardiac Cycle Position for Cerebral Emboli Visualization Using Contrastive Learning

Autoři: Dupouy, Mathilde Vindas, Yamil Almar, Marilys a další

Přispěvatelé: Dupouy, Mathilde Vindas, Yamil Almar, Marilys a další

Zdroj: 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). :1-4

Témata: Cerebral emboli, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, Transcranial Doppler, Contrastive learning, Unsupervised learning, Representation learning

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-04922841v1/document
https://doi.org/10.1109/isbi60581.2025.10981113
https://hal.science/hal-04922841v1