المؤلفون: Lemenkova, Polina

المساهمون: Ocean University of China (OUC), China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China, Grant Nr. 2016SOA002, P. R. C.

المصدر: Bulletin of Geography. Physical Geography Series
Bulletin of Geography. Physical Geography Series, Nicolaus Copernicus University in Torun, 2020, 18 (1), pp.41-60. ⟨10.2478/bgeo-2020-0004⟩

مصطلحات موضوعية: Data Analysis, 010504 meteorology & atmospheric sciences, Geography, Planning and Development, 010502 geochemistry & geophysics, 01 natural sciences, GEBCO, Data Analysis and Techniques, Earth Science, Bathymetry, Geography & Development, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, GMT, geography.geographical_feature_category, Izu-Bonin Trench, Submarine, Geology, Geodesy, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], Geophysics, Mapping, Ridge, Trench, ACM: I.: Computing Methodologies, Cartography, Geographic Data Analysis, [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC], [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Modelling, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, Geoinformatics, Histogram, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, [SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/Volcanology, General Bathymetric Chart of the Oceans, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, [INFO.INFO-MS]Computer Science [cs]/Mathematical Software [cs.MS], 0105 earth and related environmental sciences, Submarine Geomorphology, [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics, geography, Pacific Ocean, [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL], [INFO.INFO-IA]Computer Science [cs]/Computer Aided Engineering, [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], Geologic map, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, Computer Science

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::312390fce74595a02eacbb26aa7c5498
https://doi.org/10.2478/bgeo-2020-0004

المؤلفون: Abderrazek Azri, Nouria Harbi, Jérôme Darmont, Camille Noûs, Cécile Favre

المساهمون: Entrepôts, Représentation et Ingénierie des Connaissances (ERIC), Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Laboratoire Cogitamus

المصدر: Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2021)
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2021), Sep 2021, Bilbao, Spain. pp.497-513, ⟨10.1007/978-3-030-86517-7_31⟩
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track ISBN: 9783030865160

مصطلحات موضوعية: FOS: Computer and information sciences, Computer science, Microblogging, Computer Science - Artificial Intelligence, 02 engineering and technology, Social networks, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 020204 information systems, Deep neural networks, 0202 electrical engineering, electronic engineering, information engineering, Social media, Rumor detection, Multi channel, Focus (computing), Information retrieval, Computer Science - Computation and Language, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Sentiment analysis, Rumor, Metadata, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, Artificial Intelligence (cs.AI), 020201 artificial intelligence & image processing, Computation and Language (cs.CL), ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f2b7ef3f0128ea8dd65353050a42fbe
https://hal.archives-ouvertes.fr/hal-03265069/file/ecml-pkdd2021oa.pdf

المؤلفون: Camille Noûs, Abderrazek Azri, Cécile Favre, Jérôme Darmont, Nouria Harbi

المساهمون: Entrepôts, Représentation et Ingénierie des Connaissances (ERIC), Université Lumière - Lyon 2 (UL2)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Laboratoire Cogitamus

المصدر: Advances in Databases and Information Systems ISBN: 9783030824716
ADBIS
25th European Conference on Advances in Databases and Information Systems (ADBIS 2021)
25th European Conference on Advances in Databases and Information Systems (ADBIS 2021), Aug 2021, Tartu, Estonia. pp.73-87, ⟨10.1007/978-3-030-82472-3_7⟩

مصطلحات موضوعية: FOS: Computer and information sciences, Exploit, Computer science, Computer Science - Artificial Intelligence, 02 engineering and technology, Social networks, Field (computer science), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Task (project management), 03 medical and health sciences, 0302 clinical medicine, Computer Science - Databases, Machine learning, Credibility, Rumor verification, 0202 electrical engineering, electronic engineering, information engineering, Social media, Set (psychology), Social and Information Networks (cs.SI), [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], Information retrieval, Databases (cs.DB), Image features, Computer Science - Social and Information Networks, Rumor, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, Metadata, Artificial Intelligence (cs.AI), 020201 artificial intelligence & image processing, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, 030217 neurology & neurosurgery

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aa95d182f51d3b76a336ff2a54cb65e
http://arxiv.org/abs/2109.02271

المؤلفون: Gaël Varoquaux, Russell A. Poldrack

المساهمون: Modelling brain structure, function and variability based on high-field MRI data (PARIETAL), Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Service NEUROSPIN (NEUROSPIN), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Service NEUROSPIN (NEUROSPIN), Department of Psychology [Stanford], Stanford University, Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)

المصدر: Current Opinion in Neurobiology
Current Opinion in Neurobiology, Elsevier, In press, 55, ⟨10.1016/j.conb.2018.11.002⟩
Current Opinion in Neurobiology, inPress, 55, ⟨10.1016/j.conb.2018.11.002⟩
Current Opinion in Neurobiology, In press, 55, ⟨10.1016/j.conb.2018.11.002⟩

مصطلحات موضوعية: 0301 basic medicine, Computer science, Process (engineering), cognitive models, media_common.quotation_subject, Inference, Neuroimaging, brain imaging, psychology, Cognitive neuroscience, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Task (project management), 03 medical and health sciences, Cognition, 0302 clinical medicine, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Function (engineering), media_common, Cognitive science, [STAT.AP]Statistics [stat]/Applications [stat.AP], Reductionism, [SHS.STAT]Humanities and Social Sciences/Methods and statistics, [SCCO.NEUR]Cognitive science/Neuroscience, General Neuroscience, Brain, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, machine learning, 030104 developmental biology, [SCCO.PSYC]Cognitive science/Psychology, Neuroscience, 030217 neurology & neurosurgery

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07047a1a677e29c12384795e1648fe04
https://doi.org/10.1016/j.conb.2018.11.002

المؤلفون: Christophe Gravier, Wilfried Logerais, Thomas Dopierre

المساهمون: Laboratoire Hubert Curien [Saint Etienne] (LHC), Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS)

المصدر: EACL
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
16th Conference of the European Chapter of the Association for Computational Linguistics
16th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Kyiv (virtual), Ukraine

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Computation and Language, Computer science, business.industry, Image processing, 16. Peace & justice, Machine learning, computer.software_genre, Field (computer science), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], Task (project management), ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, Simple (abstract algebra), Artificial intelligence, business, Baseline (configuration management), Computation and Language (cs.CL), Encoder, computer, Word (computer architecture), Transformer (machine learning model)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eca9963bf2f85b523a4a261b3c622c2c
http://arxiv.org/abs/2101.12073

المؤلفون: Milene Santos Teixeira, Célia da Costa Pereira, Mauro Dragoni

المساهمون: Fondazione Bruno Kessler [Trento, Italy] (FBK)

المصدر: PRIMA 2020: Principles and Practice of Multi-Agent Systems ISBN: 9783030693213
PRIMA
PRIMA 2020: Principles and Practice of Multi-Agent Systems-23rd International Conference, Nagoya, Japan, November 18-20, 2020, Proceedings
PRIMA 2020 :The 23rd International Conference on Principles and Practice of Multi-Agent Systems
PRIMA 2020 :The 23rd International Conference on Principles and Practice of Multi-Agent Systems, Nov 2020, Nagoya (virtual), Japan. ⟨10.1007/978-3-030-69322-0_18⟩

مصطلحات موضوعية: Structure (mathematical logic), 020205 medical informatics, Computer science, 02 engineering and technology, Guideline, Disease, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], 3. Good health, Test (assessment), ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, 03 medical and health sciences, 0302 clinical medicine, Action (philosophy), Risk analysis (engineering), Ask price, Order (exchange), 0202 electrical engineering, electronic engineering, information engineering, 030212 general & internal medicine, Set (psychology)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea26829f14fd73e21724e69ef6d7ce34
https://doi.org/10.1007/978-3-030-69322-0_18

المؤلفون: Alexandre Termier, Luis Galárraga, Olivier Pelgrin

المساهمون: Karlapalem, Kamal, Cheng, Hong, Ramakrishnan, Naren, Agrawal, R. K., Reddy, P. Krishna, Srivastava, Jaideep, Chakraborty, Tanmoy, Large Scale Collaborative Data Mining (LACODAM), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Aalborg University [Denmark] (AAU), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique)

المصدر: Galárraga, L, Pelgrin, O & Termier, A 2021, HiPaR : Hierarchical Pattern-Aided Regression . in K Karlapalem, H Cheng, N Ramakrishnan, R K Agrawal, P K Reddy, J Srivastava & T Chakraborty (eds), Advances in Knowledge Discovery and Data Mining-25th Pacific-Asia Conference, PAKDD 2021, Proceedings . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12712 LNAI, pp. 320-332, 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2021, Virtual, Online, 11/05/2021 . https://doi.org/10.1007/978-3-030-75762-5_26
Advances in Knowledge Discovery and Data Mining
Advances in Knowledge Discovery and Data Mining, 12712, Springer International Publishing, pp.320-332, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-75762-5_26⟩
Advances in Knowledge Discovery and Data Mining ISBN: 9783030757618
PAKDD (1)
PAKDD 2021-Pacific-Asia Conference on Knowledge Discovery and Data Mining
PAKDD 2021-Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2021, Virtual, France. pp.320-332, ⟨10.1007/978-3-030-75762-5_26⟩

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer science, Of the form, 02 engineering and technology, Characterization (mathematics), Rule mining, 01 natural sciences, Regression, Small set, Machine Learning (cs.LG), ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, 010104 statistics & probability, Variable (computer science), [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], 020204 information systems, Linear regression, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Heuristics, Algorithm, Categorical variable, ComputingMilieux_MISCELLANEOUS

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38547f8a335ba9e12a27976361b6f42c
https://vbn.aau.dk/da/publications/29bd0c9d-5597-49f9-addd-c1ea64c48503

المؤلفون: Lemenkova, Polina

المساهمون: Schmidt United Institute of Physics of the Earth [Moscow] (IPE), Russian Academy of Sciences [Moscow] (RAS)

المصدر: Riscuri si Catastrofe
Riscuri si Catastrofe, "Babes-Bolyai" University from Cluj-Napoca, Faculty of Geography, 2020, 27 (2), pp.67-83. ⟨10.24193/RCJ2020_12⟩
Riscuri şi Catastrofe, Vol 27, Iss 2, Pp 67-83 (2020)

مصطلحات موضوعية: data analysis, computer science, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.10: Image Representation, Oceanic crust, [SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry, Bathymetry, mapping, Indian Ocean, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.2: Text processing, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, GMT, geography.geographical_feature_category, Geography, geophysics, [SDE.IE]Environmental Sciences/Environmental Engineering, seafloor, lcsh:Geography. Anthropology. Recreation, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications/I.5.4.0: Computer vision, Geology, General Medicine, ACM: K.: Computing Milieux, Seafloor spreading, [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR], ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.1: Models, Generic Mapping Tools, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.5: Reconstruction, Ridge, [SDE]Environmental Sciences, environment, ACM: I.: Computing Methodologies, Earth science, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development/I.6.5.0: Modeling methodologies, [SDE.MCG]Environmental Sciences/Global Changes, bathymetry, lcsh:G1-922, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Monsoon, ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS, topography, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING/I.6.5: Model Development, cartography, [INFO]Computer Science [cs], 14. Life underwater, [SDU.STU.GM]Sciences of the Universe [physics]/Earth Sciences/Geomorphology, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.4: Applications, visualization, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, [SDU.STU.TE]Sciences of the Universe [physics]/Earth Sciences/Tectonics, geography, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, modeling, Crust, ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION/I.5.3: Clustering, Geophysics, geomorphology, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, Tectonics, lcsh:G, ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING, 13. Climate action, [SDU]Sciences of the Universe [physics], Accretion (geology), lcsh:Geography (General)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d08d0f6cf17850627c01838f540d6279
https://hal.archives-ouvertes.fr/hal-03033533/document

المؤلفون: Damien Nouvel, Elvis Mboning Tchiaze

المساهمون: Équipe de Recherche en Textes, Informatique, Multilinguisme (ERTIM), Institut National des Langues et Civilisations Orientales (Inalco), CNES

المصدر: COLING
SemEval-2020 (International Workshop on Semantic Evaluation 2020)
SemEval-2020 (International Workshop on Semantic Evaluation 2020), Dec 2020, Barcelone, Spain. pp.670-676
SemEval@COLING

مصطلحات موضوعية: Counterfactual thinking, Counterfactual conditional, Computer science, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], Natural language understanding, ACM: I.: Computing Methodologies/I.7: DOCUMENT AND TEXT PROCESSING, [SCCO.COMP]Cognitive science/Computer science, NLU, computer.software_genre, NLP, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [SHS.LANGUE]Humanities and Social Sciences/Linguistics, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], business.industry, Pipeline (software), SemEval, counterfactuals, Support vector machine, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing, Identification (information), classification, extraction, Artificial intelligence, Raw data, business, computer, Natural language processing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f88a1380fa6b3369e3c508b695bb6b5
https://hal.archives-ouvertes.fr/hal-03119450/document

المؤلفون: Nouredine Nour, Alain Peres, Frédéric Barbaresco, Reda Belhaj-Soullami, Cédric Buron

المساهمون: NukkAI [Paris], Thales Research and Technology [Palaiseau], THALES, Thales LAS France

المصدر: Conference On Artificial Intelligence in Defense (CAID'2020)
Conference On Artificial Intelligence in Defense (CAID'2020), Nov 2020, Rennes, France

مصطلحات موضوعية: FOS: Computer and information sciences, Netted sensors, Computer science, Computer Science - Artificial Intelligence, Real-time computing, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Multi-Agent Systems, law.invention, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], law, 0202 electrical engineering, electronic engineering, information engineering, Command and control, Reinforcement learning, Neural and Evolutionary Computing (cs.NE), Radar, Baseline (configuration management), Radar tracker, Actor Critic, Computer Science - Neural and Evolutionary Computing, Evolutionary Algo- rithms, Reinforcement Learning, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, Smart grid, Artificial Intelligence (cs.AI), 010201 computation theory & mathematics, 020201 artificial intelligence & image processing, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.11: Distributed Artificial Intelligence/I.2.11.3: Multiagent systems, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7192261a7aaa4ca74c8b5a3cd5a52340
http://arxiv.org/abs/2010.11733