Suchergebnisse - "Computing methodologies Artificial intelligence"
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1
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Quelle: ACM SIGEnergy Energy Informatics Review. 5:41-47
Schlagwörter: CCS Concepts, • General and reference → Metrics, • Computing methodologies → Artificial intelligence Energy, Throughput computing, Reference works, • Information systems → Web services, ICT carbon footprint, CCS Concepts: Hardware → Interconnect power issues • Information systems → Web services • General and reference → Metrics Experimentation Reference works • Computing methodologies → Artificial intelligence Energy, [INFO] Computer Science [cs], Hardware → Interconnect power issues, Experimentation, [SPI.TRON] Engineering Sciences [physics]/Electronics
Dateibeschreibung: application/pdf
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Autoren: et al.
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Quelle: The 2024 ACM Conference on Fairness, Accountability, and Transparency. :2060-2070
Schlagwörter: FOS: Computer and information sciences, Artificial intelligence, [SHS.DROIT] Humanities and Social Sciences/Law, algorithmic decision-making, Computer Science - Artificial Intelligence, Social and professional topics, Law algorithmic decision-making, [INFO] Computer Science [cs], Computer Science - Computers and Society, 03 medical and health sciences, 0302 clinical medicine, Computing / technology policy, Machine learning, Computers and Society (cs.CY), 10. No inequality, • Social and professional topics, 0505 law, 05 social sciences, Computing, Applied computing, technology policy Computing / technology policy • Computing methodologies → Artificial intelligence Machine learning • Applied computing → Law algorithmic decision-making, EU law, 16. Peace & justice, Artificial Intelligence (cs.AI), discrimination, positive action
Dateibeschreibung: application/pdf
Zugangs-URL: http://arxiv.org/abs/2404.12143
https://research.tue.nl/en/publications/779b0921-3287-469e-a80b-e8ea8b28b78f
https://doi.org/10.1145/3630106.3659025
https://sciencespo.hal.science/hal-04565960v1
https://sciencespo.hal.science/hal-04565960v1/document
https://doi.org/10.1145/3630106.3659025
https://sciencespo.hal.science/hal-04871992v1
https://doi.org/10.1145/3630106.3659025 -
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Quelle: Proceedings of the 7th ACM SIGSPATIAL International Workshop on Geospatial Humanities. :21-30
Schlagwörter: geographic information, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Information extraction geographic information, neural network, Natural language processing, [SHS.GEO] Humanities and Social Sciences/Geography, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], deep learning, binary spatial relation, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], Computing methodologies → Artificial intelligence, spatial knowledge, Computing methodologies → Artificial intelligence Natural language processing Information extraction geographic information, maritime data, language model, [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR], [SHS] Humanities and Social Sciences, nested spatial entity
Dateibeschreibung: application/pdf
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Quelle: ACM Transactions on Social Computing. 7:1-32
Schlagwörter: multimodal learning, I460 - Machine learning, CCS Concepts: • Computing methodologies → Artificial Intelligence, Artificial intelligence, I100 - Computer science, Applied Computing, Social and professional topics, 15. Life on land, neural networks, 01 natural sciences, user engagement, • Social and professional topics → User characteristics Additional Key Words and Phrases: social media analysis, Machine learning, I400 - Artificial intelligence, • Applied Computing → Document management and text processing, large language models, biodiversity conservation, 0105 earth and related environmental sciences
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Autoren: et al.
Quelle: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering. :1-13
Schlagwörter: Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Computing methodologies → Artificial intelligence, Programming Languages and Compilers, Software and its engineering → Software development techniques, Memorization, Software Engineering, Open-Source Software, Security and privacy, Code Generation
Dateibeschreibung: application/pdf
Zugangs-URL: http://arxiv.org/abs/2308.09932
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Quelle: ISSN: 2192-5283.
Schlagwörter: artificial intelligence, antifragility, autonomous systems, disturbance, ethics, formal methods, machine learning, nondeterminism, resilience, safety, self-adaptive systems, validation and verification, uncertainty, General and reference → Reliability, General and reference → Metrics, General and reference → Validation, Computer systems organization → Embedded and cyber-physical systems, Computer systems organization → Dependable and fault-tolerant systems and networks, Software and its engineering, Theory of computation → Logic, Mathematics of computing → Probability and statistics, Computing methodologies → Artificial intelligence, Computing methodologies → Machine learning, Human-centered computing, ddc:004, DATA processing & computer science, info:eu-repo/classification/ddc/004
Dateibeschreibung: application/pdf
Relation: Dagstuhl Reports; info:eu-repo/semantics/altIdentifier/issn/2192-5283; https://publikationen.bibliothek.kit.edu/1000178713; https://publikationen.bibliothek.kit.edu/1000178713/156836327; https://doi.org/10.5445/IR/1000178713
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Autoren: et al.
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Schlagwörter: safety, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], logic, computational complexity, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], databases, Computing methodologies → Logical and relational learning, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], [INFO] Computer Science [cs], General and reference → Surveys and overviews, Computing methodologies → Machine learning approaches, machine learning, Computing methodologies → Artificial intelligence, learning theory, Theory of computation → Models of learning, Theory of computation → Constraint and logic programming, Theory of computation → Modal and temporal logics, verification
Dateibeschreibung: application/pdf
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Augmented Reality and Affective Computing for Nonverbal Interaction Support of the Visually Impaired
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Quelle: Iren, Y D, Shingjergji, K, Urlings, C C J, Klemke, R, Böttger, F, Meindert Osinga, J, van de Goor, S, Bustowski, D & Passariello-Jansen, J 2023, Augmented Reality and Affective Computing for Nonverbal Interaction Support of the Visually Impaired. in Proceedings-2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023. IEEE, pp. 360-363, IEEE VR 2023 Workshop on Multi-modal Affective and Social Behavior Analysis and Synthesis in Extended Reality, Shanghai, China, 25/03/23. https://doi.org/10.1109/VRW58643.2023.00080
Schlagwörter: human computer interaction, CCS [Human-centered computing]: Accessibility, Affective computing, CCS [Human-centered computing]: Human computer interaction (HCI), Accessibility technologies, Computer vision, Interaction techniques CCS [Computing methodologies]: Artificial intelligence, augmented reality
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Autoren: et al.
Schlagwörter: Artificial intelligence not elsewhere classified, Machine learning not elsewhere classified, Computing methodologies → Artificial intelligence, Ensemble methods, • Security and privacy → Intrusion/anomaly detection and malware mitigation, Financial fraud detection, ensemble learning, feature interaction, metalearning, Bayesian optimization
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Quelle: 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). :450-453
Schlagwörter: FOS: Computer and information sciences, 0301 basic medicine, Computer Science - Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Applied Computing-Life and medical Sciences-Health informatics Computing methodologies-Artificial intelligence-Knowledge representation and reasoning-Causal rea-soning and diagnostics Human-centered computing-Virtual reality, Computer Science - Human-Computer Interaction, Human-Computer Interaction (cs.HC), Machine Learning (cs.LG), 3. Good health
Zugangs-URL: http://arxiv.org/abs/2203.01643
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Autoren: et al.
Quelle: International Journal of Human-Computer Interaction. Nov2025, p1-29. 29p. 7 Illustrations.
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Quelle: 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). :378-383
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Autoren: Schiex, Thomas
Weitere Verfasser: Schiex, Thomas
Schlagwörter: random Markov fields, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], constraint programming, Computing methodologies → Learning graphical models, deep learning, constraint programming, cost function networks, random Markov fields, decision-focused learning, protein design .CP.2023, decision-focused learning, 2012 ACM Subject Classification Computing methodologies → Artificial intelligence, deep learning, 2012 ACM Subject Classification Computing methodologies → Artificial intelligence Computing methodologies → Machine learning Theory of computation → Constraint and logic programming Computing methodologies → Learning graphical models, deep learning, constraint programming, cost function networks, random Markov fields, decision-focused learning, protein design .CP.2023, [INFO] Computer Science [cs], Computing methodologies → Artificial intelligence, [INFO.INFO-BT] Computer Science [cs]/Biotechnology, Computing methodologies → Machine learning, Computing methodologies → Learning in probabilistic graphical models, graphical models, cost function networks, Theory of computation → Constraint and logic programming, protein design, [INFO.INFO-BI] Computer Science [cs]/Bioinformatics [q-bio.QM]
Dateibeschreibung: application/pdf
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Schlagwörter: Computing methodologies -- Artificial intelligence -- Knowledge representation and reasoning -- Ontology engineering, Computing methodologies -- Artificial intelligence -- Knowledge representation and reasoning -- Semantic networks, Computing methodologies -- Artificial intelligence -- Natural language processing -- Information extraction
Relation: ispartof: Companion Proceedings of the ACM on Web Conference 2025 spage 797 epage 800; 991005792772907891; alma:61MUN_INST/bibs/991005792772907891
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Quelle: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)Schlagwörter: Informal education, FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning challenge, Informàtica::Intel·ligència artificial::Aprenentatge automàtic [Àrees temàtiques de la UPC], Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors [Àrees temàtiques de la UPC], Computer Science - Artificial Intelligence, Xarxes d', Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic, Network AI, 02 engineering and technology, AI for Computer Networks, Machine Learning (cs.LG), Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors, Computer Science - Networking and Internet Architecture, Computing methodologies → Artificial intelligence, Machine learning, Aprenentatge automàtic, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, Social and professional topics → Computer science education, Graph Neural Networks, Computer networks, Non-Formal Education, Networking and Internet Architecture (cs.NI), Networks → Network performance evaluation, Computer Science - General Literature, General Literature (cs.GL), 16. Peace & justice, Ordinadors, Graph neural networks, Artificial Intelligence (cs.AI), Ordinadors, Xarxes d'
Dateibeschreibung: application/pdf
Zugangs-URL: http://arxiv.org/pdf/2107.12433
http://arxiv.org/abs/2107.12433
https://arxiv.org/pdf/2107.12433.pdf
https://arxiv.org/abs/2107.12433
https://arxiv-ex4-dnjupm6i-ex0-www-webvpn.webvpn2.hrbcu.edu.cn/abs/2107.12433v1
https://dblp.uni-trier.de/db/journals/corr/corr2107.html#abs-2107-12433
https://dl.acm.org/doi/10.1145/3477482.3477485
https://arxiv.org/abs/2107.12433
https://hal.inria.fr/hal-03346696/document
https://hal.uca.fr/IRISA/hal-03346696v1 -
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Quelle: Proceedings of the 2020 10th International Conference on Information Communication and Management. :25-30
Schlagwörter: Fraud detection, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], 0202 electrical engineering, electronic engineering, information engineering, Data Mining, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], 02 engineering and technology, Supervised Learning, Boosting Bitcoin, CCS Concepts: • Computing methodologies → Artificial intelligence, 16. Peace & justice
Dateibeschreibung: application/pdf
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Autoren: et al.
Schlagwörter: Computing methodologies → Artificial intelligence, Computing methodologies → Knowledge representation and reasoning, Information systems → Information integration, Theory of computation → Semantics and reasoning, Theory of computation → Complexity theory and logic, Knowledge representation and reasoning, Applications of logics, Formal logic, Declarative representations, Theory of computation → Logic
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Schlagwörter: computational linguistics, multiword expressions, Computing methodologies → Artificial intelligence, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], language universals, phrases computational linguistics, ddc:004, [SHS.LANGUE] Humanities and Social Sciences/Linguistics, idiosyncrasy, morphosyntax
Dateibeschreibung: application/pdf
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Autoren: et al.
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Quelle: VSIP 2021: 2021 3rd International Conference on Video, Signal and Image Processing ; https://hal.science/hal-04711605 ; VSIP 2021: 2021 3rd International Conference on Video, Signal and Image Processing, Mar 2022, Wuhan China, China. pp.25-30, ⟨10.1145/3503961.3503966⟩
Schlagwörter: Network algorithms Activity, Recognition, Deep Learning, Cobotics, Industrial, LSTM, Networks, Neural networks, Other architectures, Architecture, Computer systems organization, Artificial intelligence, CCS Concepts: Computing methodologies, CCS Concepts: Computing methodologies Artificial intelligence Computer systems organization Architecture Other architectures Neural networks Networks Network algorithms Activity Recognition Deep Learning Cobotics Industrial LSTM, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Geographisches Schlagwort: Wuhan China, China
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Quelle: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV'22) ; https://hal.science/hal-04692246 ; In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV'22), Nov 2022, Dallas (TX), United States
Schlagwörter: In Situ Visualization, Computational Steering, Deep Learning, Surrogate Models, ParaView, Catalyst, Computing methodologies → Physical simulation, Semi-supervised learning settings, Scientific visualization, Distributed Computing, Cluster Computing, Computing methodologies → Artificial intelligence, [INFO]Computer Science [cs], [SPI]Engineering Sciences [physics]
Geographisches Schlagwort: Dallas (TX), United States
Relation: info:eu-repo/grantAgreement//956560/EU/An open architecture to equip next generation HPC applications with exascale capabilities/REGALE
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