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1دورية أكاديمية
المؤلفون: Matej Martinc, Senja Pollak, Marko Robnik-Šikonja
المصدر: Computational Linguistics, Vol 47, Iss 1, Pp 141-179 (2021)
مصطلحات موضوعية: Computational linguistics. Natural language processing, P98-98.5
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Matej Martinc, Fasih Haider, Senja Pollak, Saturnino Luz
المصدر: Frontiers in Aging Neuroscience, Vol 13 (2021)
مصطلحات موضوعية: Alzheimer's dementia detection, speech, language, acoustic features, lexical features, natural language processing, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
وصف الملف: electronic resource
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3
المؤلفون: Syrielle Montariol, Matej Martinc, Andraž Pelicon, Senja Pollak, Boshko Koloski, Igor Lončarski, Aljoša Valentinčič, Katarina Sitar Šuštar, Riste Ichev, Martin Žnidaršič
المصدر: Communications in Computer and Information Science ISBN: 9783031236327
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::efb1b81d20360b48e2bb77791a362e81
https://doi.org/10.1007/978-3-031-23633-4_1 -
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المؤلفون: Špela Vintar, Matej Martinc
المصدر: Terminology. 28:129-156
مصطلحات موضوعية: Communication, Library and Information Sciences, Language and Linguistics
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f41d5ccd3cbfa8013a0fb70b86ce1bf6
https://doi.org/10.1075/term.21005.vin -
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المؤلفون: Matej Martinc, Syrielle Montariol, Lidia Pivovarova, Elaine Zosa
المساهمون: Department of Digital Humanities, Department of Computer Science, Discovery Research Group/Prof. Hannu Toivonen
المصدر: University of Helsinki
مصطلحات موضوعية: 6121 Languages, 113 Computer and information sciences
URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3c24d962ae27be554c2bf2accd386b6f
http://hdl.handle.net/10138/346642 -
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المؤلفون: Nada Lavrač, Senja Pollak, Matej Martinc, Blaž Škrlj
المصدر: Machine Learning
مصطلحات موضوعية: Computer science, Evolutionary algorithm, 02 engineering and technology, Neuro-symbolic computing, Space (commercial competition), Machine learning, computer.software_genre, Article, Representation learning, Artificial Intelligence, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Representation (mathematics), AutoML, Hyperparameter, Ensemble forecasting, business.industry, Natural language processing, 020201 artificial intelligence & image processing, Language model, Artificial intelligence, business, computer, Feature learning, Software, Word (computer architecture)
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7
المؤلفون: Senja Pollak, Nada Lavrač, Matej Martinc, Maruša Pompe Novak, Bojan Cestnik
المصدر: New Generation Computing
مصطلحات موضوعية: Word embedding, Computer Networks and Communications, Computer science, 02 engineering and technology, Scientific literature, Data science, Theoretical Computer Science, Literature-based discovery, Hardware and Architecture, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Software
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8
المؤلفون: Hanh Thi Hong Tran, Matej Martinc, Andraz Pelicon, Antoine Doucet, Senja Pollak
المصدر: From Born-Physical to Born-Virtual: Augmenting Intelligence in Digital Libraries ISBN: 9783031217555
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2e790fe39419d62e88f39b5dd228113b
https://doi.org/10.1007/978-3-031-21756-2_7 -
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المؤلفون: Thi Hong Hanh Tran, Matej Martinc, Matthew Purver, Senja Pollak
المصدر: Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5be29c4f950537df83fd3087c67b5d03
https://doi.org/10.18653/v1/2022.semeval-1.12 -
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المؤلفون: Hanh Thi Hong Tran, Matej Martinc, Antoine Doucet, Senja Pollak
المصدر: Discovery Science ISBN: 9783031188398
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9afe3b87687137f3befeee92ba3e1a39
https://doi.org/10.1007/978-3-031-18840-4_26