المؤلفون: Matej Petković, Luke Lucas, Jurica Levatić, Martin Breskvar, Tomaž Stepišnik, Ana Kostovska, Panče Panov, Aljaž Osojnik, Redouane Boumghar, José A. Martínez-Heras, James Godfrey, Alessandro Donati, Sašo Džeroski, Nikola Simidjievski, Bernard Ženko, Dragi Kocev

المصدر: Scientific Data, Vol 9, Iss 1, Pp 1-8 (2022)

مصطلحات موضوعية: Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2052-4463

URL الوصول: https://doaj.org/article/f24eda5597eb4c9f93340b8f0ca19f70

المؤلفون: Ana Kostovska, Jasmin Bogatinovski, Sašo Džeroski, Dragi Kocev, Panče Panov

المصدر: Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)

مصطلحات موضوعية: Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/cb1b9cda916845a097319c3929a5fa50

المؤلفون: Ivica Dimitrovski, Ivan Kitanovski, Panče Panov, Ana Kostovska, Nikola Simidjievski, Dragi Kocev

المصدر: Remote Sensing, Vol 15, Iss 9, p 2343 (2023)

مصطلحات موضوعية: Earth observation, remote sensing, deep learning, semantic segmentation, object detection, land use and land cover classification, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/15/9/2343; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/0a1d2998d19247d394a549a0acc62387

المؤلفون: Ana Kostovska, Diederick Vermetten, Peter Korošec, Sašo Džeroski, Carola Doerr, Tome Eftimov

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::85644b6976da3faeef5816bf2eadc0c6

المؤلفون: Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Panče Panov, Tome Eftimov, Carola Doerr

المصدر: Applications of Evolutionary Computation ISBN: 9783031302282

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0365c32691695019a96fa20f156cdb96
https://doi.org/10.1007/978-3-031-30229-9_17

المؤلفون: Ana Kostovska, Anja Jankovic, Diederick Vermetten, Jacob de Nobel, Hao Wang, Tome Eftimov, Carola Doerr

المساهمون: JSI (JSI Ljubljana), Recherche Opérationnelle (RO), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Leiden Institute of Advanced Computer Science [Leiden] (LIACS), Universiteit Leiden, European Project: 952215,TAILOR(2020)

المصدر: Lecture Notes in Computer Science ISBN: 9783031147135
17th Proceedings of Parallel Problem Solving from Nature-(PPSN) 2022
17th Proceedings of Parallel Problem Solving from Nature-(PPSN) 2022, 2022, Dortmund, Germany. pp.46-60, ⟨10.1007/978-3-031-14714-2_4⟩

مصطلحات موضوعية: FOS: Computer and information sciences, Black-Box Optimization, Algorithm Selection, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Evolutionary Computation, Exploratory Landscape Analysis

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7473007a382ba6dfa1bd61d32458cdf2

المؤلفون: Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Carola Doerr, Peter Korosec, Tome Eftimov

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Neural and Evolutionary Computing (cs.NE), Machine Learning (cs.LG)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98d41ddf452dae46868110d3ab714554

المؤلفون: Ana Kostovska, Jasmin Bogatinovski, Sašo Džeroski, Dragi Kocev, Panče Panov

المصدر: Scientific reports. 12(1)

مصطلحات موضوعية: Machine Learning, Multidisciplinary, Publications, Semantics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56a4402b6c24aa1866f0c5a424e8ab3e
https://pubmed.ncbi.nlm.nih.gov/35508507

المؤلفون: Tome Eftimov, Panče Panov, Sašo Džeroski, Carola Doerr, Diederick Vermetten, Ana Kostovska

المساهمون: JSI (JSI Ljubljana), Leiden Institute of Advanced Computer Science [Leiden] (LIACS), Universiteit Leiden [Leiden], Centre National de la Recherche Scientifique (CNRS), Recherche Opérationnelle (RO), LIP6, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU), Jozef Stefan Institute [Ljubljana] (IJS)

المصدر: Proceedings of Genetic and Evolutionary Computation Conference (GECCO 2021, Companion Material)
Genetic and Evolutionary Computation Conference (GECCO 2021, Companion Material)
Genetic and Evolutionary Computation Conference (GECCO 2021, Companion Material), Jul 2021, Lille (on line), France. ⟨10.1145/3449726.3459579⟩
GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion
GECCO Companion

مصطلحات موضوعية: FOS: Computer and information sciences, 0209 industrial biotechnology, Computer science, Process (engineering), Computer Science - Artificial Intelligence, Interoperability, 02 engineering and technology, Ontology (information science), [INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], Data modeling, Theoretical Computer Science, Computer Science - Software Engineering, 020901 industrial engineering & automation, 0202 electrical engineering, electronic engineering, information engineering, Neural and Evolutionary Computing (cs.NE), Information retrieval, Computer Science - Neural and Evolutionary Computing, Benchmarking, Software Engineering (cs.SE), Identification (information), Artificial Intelligence (cs.AI), Data model, Computational Theory and Mathematics, Benchmark (computing), 020201 artificial intelligence & image processing, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04d148b875187f74394edd21b15c2d99
https://hal.sorbonne-universite.fr/hal-03233907

المؤلفون: Ana Kostovska, Matej Petkovic, Tomaz Stepisnik, Luke Lucas, Timothy Finn, Jose Martinez-Heras, Pance Panov, Saso Dzeroski, Alessandro Donati, Nikola Simidjievski, Dragi Kocev

المصدر: 2021 IEEE 8th International Conference on Space Mission Challenges for Information Technology (SMC-IT).

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

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20d694a7ca0b1f7384c916872136e0d9
https://doi.org/10.1109/smc-it51442.2021.00013