Výsledky vyhľadávania - Emotion Recognition and Analysis in Multimodal Data
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1
Autori: a ďalší
Zdroj: Journal of Artificial Intelligence and System Modelling, Vol 03, Iss 03, Pp 105-115 (2025)
Predmety: eeg, physiological signals, peripheral data, emotion recognition, signal processing, classification, Electronic computers. Computer science, QA75.5-76.95
Popis súboru: electronic resource
Relation: https://jaism.bilijipub.com/article_230947_647d7a3437498cd925ec91e761024f13.pdf; https://doaj.org/toc/3041-850X
Prístupová URL adresa: https://doaj.org/article/2efec8b3ec5246f3ad334d5d834f957b
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2
Autori: a ďalší
Zdroj: Journal of Artificial Intelligence & System Modelling (JAISM); Sep2025, Vol. 3 Issue 3, p105-115, 11p
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3
Autori: a ďalší
Zdroj: IEEE Access, Vol 11, Pp 10218-10237 (2023)
Predmety: Artificial intelligence, Economics, Social Sciences, Experimental and Cognitive Psychology, Epistemology, 02 engineering and technology, Modality (human–computer interaction), Task (project management), Modalities, Context (archaeology), Sociology, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Psychology, fusion methods, Ensemble Methods, Speech Enhancement Techniques, Fusion, Data mining, Biology, multimodality, Sensor fusion, Paleontology, Linguistics, Social science, Computer science, TK1-9971, Process (computing), FOS: Sociology, FOS: Philosophy, ethics and religion, Management, FOS: Psychology, Philosophy, Operating system, Emotion Recognition, Computer Science, Physical Sciences, Signal Processing, Affective Computing, Quality (philosophy), FOS: Languages and literature, Emotion recognition, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Multimodal Data, Emotion Recognition and Analysis in Multimodal Data
Prístupová URL adresa: https://doaj.org/article/27aaa0fea9eb4567bedc43d89798e912
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4
Autori: a ďalší
Zdroj: Findings of the Association for Computational Linguistics: ACL 2023. :12191-12204
Predmety: Artificial intelligence, Photonic Reservoir Computing for Neural Computation, Cognitive Neuroscience, Social Sciences, Experimental and Cognitive Psychology, Modality (human–computer interaction), Modalities, Sociology, Artificial Intelligence, Machine learning, Psychology, Polymer chemistry, 10. No inequality, 4. Education, Life Sciences, Brain-Computer Interfaces in Neuroscience and Medicine, Social science, Computer science, FOS: Sociology, FOS: Psychology, Chemistry, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Emotion recognition, Modal, Multimodal Data, Speech Emotion, Emotion Recognition and Analysis in Multimodal Data, Neuroscience
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5
Autori:
Zdroj: Alexandria Engineering Journal. Feb2025, Vol. 113, p19-31. 13p.
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6
Autori: a ďalší
Zdroj: Emerging Science Journal, Vol 6, Iss 5, Pp 1167-1198 (2022)
Predmety: Artificial intelligence, Cognitive Neuroscience, Social Sciences, Experimental and Cognitive Psychology, 02 engineering and technology, Modality (human–computer interaction), 7. Clean energy, Data science, EEG Analysis, Field (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, T1-995, Psychology, Deep Learning for EEG, emotion recognition system, Technology (General), H1-99, Human–computer interaction, physiological signals, Physiological Signals, 9. Industry and infrastructure, Pure mathematics, Life Sciences, Affective computing, Brain-Computer Interfaces in Neuroscience and Medicine, biosensors, Computer science, physiological sensors, Process (computing), Social sciences (General), FOS: Psychology, Operating system, Emotion Recognition, Affective Computing, Emotion recognition, RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry, Mathematics, Neuroscience, Emotion Recognition and Analysis in Multimodal Data
Popis súboru: text
Prístupová URL adresa: https://doaj.org/article/77425eef743b4555a4a365f2b30a3903
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7
Autori: a ďalší
Zdroj: IEEE Access, Vol 10, Pp 72171-72181 (2022)
Predmety: Artificial neural network, Artificial intelligence, Extreme learning machine, Cognitive Neuroscience, Social Sciences, Experimental and Cognitive Psychology, Convolutional neural network, Auto-encoder, 02 engineering and technology, Speech recognition, Pattern recognition (psychology), 7. Clean energy, EEG Analysis, Artificial Intelligence, emotion recognition, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Deep Learning for EEG, emotion measurement, Theory and Applications of Extreme Learning Machines, Morlet wavelet, Psychiatry, deep learning, Life Sciences, Electroencephalography, Deep learning, Autoencoder, Brain-Computer Interfaces in Neuroscience and Medicine, Computer science, TK1-9971, FOS: Psychology, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Discrete wavelet transform, Wavelet transform, Electrical engineering. Electronics. Nuclear engineering, Extreme Learning Machine, Wavelet, data augmentation, Neuroscience, Emotion Recognition and Analysis in Multimodal Data
Prístupová URL adresa: https://doaj.org/article/b016c90708494848b07a3983dd903293
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Autori:
Zdroj: Alexandria Engineering Journal. Mar2025, Vol. 116, p586-600. 15p.
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Autori:
Zdroj: Education for Information. Aug2025, Vol. 41 Issue 3, p227-255. 29p.
Predmety: *Bibliometrics, *Recommender systems, Music & emotions, Data privacy, Musical analysis
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10
Autori:
Zdroj: International Journal on Advanced Science, Engineering and Information Technology. 13:2274-2281
Predmety: Artificial neural network, Artificial intelligence, Facial expression, Support vector machine, Feature (linguistics), Social Sciences, Experimental and Cognitive Psychology, Convolutional neural network, Pattern recognition (psychology), 7. Clean energy, QA273-280 Probabilities. Mathematical statistics, Field (mathematics), Machine learning, FOS: Mathematics, Psychology, 10. No inequality, Preprocessor, Perceptron, Pure mathematics, Linguistics, Computer science, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Facial Expression, Philosophy, Emotion Recognition, Affective Computing, Emotion classification, FOS: Languages and literature, Feature extraction, Mathematics, Emotion Recognition and Analysis in Multimodal Data
Popis súboru: text
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11
Autori: a ďalší
Zdroj: Journal of Information and Telecommunication, Vol 7, Iss 3, Pp 317-335 (2023)
Predmety: Artificial neural network, Artificial intelligence, Sliding window protocol, Audio Signal Classification and Analysis, Social Sciences, Experimental and Cognitive Psychology, Set (abstract data type), TK5101-6720, Information technology, Speech recognition, Pattern recognition (psychology), pattern recognition network, Environmental Sound Recognition, Artificial Intelligence, Deep neural networks, Machine learning, Psychology, overlapping sliding window, Window (computing), Audio Event Detection, Deep learning, T58.5-58.64, Computer science, Programming language, 3. Good health, FOS: Psychology, Operating system, Sentiment Analysis and Opinion Mining, speech emotion recognition, Categorization, Emotion Recognition, Signal Processing, Computer Science, Physical Sciences, Affective Computing, Telecommunication, Feature extraction, Emotion recognition, Classifier (UML), SHAP analysis, Speech Emotion, Emotion Recognition and Analysis in Multimodal Data
Prístupová URL adresa: https://doaj.org/article/3b217879c86044e79f8b4251af90b877
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12
Autori: a ďalší
Zdroj: CAAI Transactions on Intelligence Technology, Vol 8, Iss 2, Pp 401-417 (2023)
Predmety: Artificial neural network, Artificial intelligence, Feature (linguistics), FOS: Political science, Audio Signal Classification and Analysis, Social Sciences, Experimental and Cognitive Psychology, Convolutional neural network, FOS: Law, 02 engineering and technology, Speech recognition, Pattern recognition (psychology), 01 natural sciences, Leverage (statistics), decision making, QA76.75-76.765, Environmental Sound Recognition, Convolution (computer science), 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Computer software, Speech Enhancement Techniques, Audio-Visual Speech Recognition, Political science, Audio Event Detection, Politics, deep learning, Linguistics, Computer science, FOS: Philosophy, ethics and religion, FOS: Psychology, Philosophy, Emotion Recognition, Signal Processing, Computer Science, Physical Sciences, Affective Computing, Computational linguistics. Natural language processing, FOS: Languages and literature, Feature extraction, P98-98.5, Representation (politics), Law, Emotion Recognition and Analysis in Multimodal Data
Prístupová URL adresa: https://doaj.org/article/9ab1c70d6d5b4ebda06b843270d2ceac
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13
Autori: a ďalší
Zdroj: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). :10835-10852
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Class (philosophy), Computer Science - Artificial Intelligence, Feature (linguistics), Robustness (evolution), Social Sciences, Experimental and Cognitive Psychology, Boosting (machine learning), Adversarial system, Pattern recognition (psychology), Biochemistry, Gene, Feature Extraction, Machine Learning (cs.LG), Anomaly Detection in High-Dimensional Data, Context (archaeology), Artificial Intelligence, Aspect-based Sentiment Analysis, Machine learning, Psychology, Biology, Computer Science - Computation and Language, Natural language processing, Feature learning, Paleontology, Linguistics, Computer science, FOS: Philosophy, ethics and religion, FOS: Psychology, Chemistry, Philosophy, Artificial Intelligence (cs.AI), Sentiment Analysis and Opinion Mining, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, FOS: Languages and literature, Computation and Language (cs.CL), Consistency (knowledge bases), Emotion Recognition and Analysis in Multimodal Data
Prístupová URL adresa: http://arxiv.org/abs/2306.01505
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14
Autori: a ďalší
Zdroj: AI; Sep2025, Vol. 6 Issue 9, p211, 22p
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15
Autori: a ďalší
Zdroj: Mathematical Biosciences and Engineering, Vol 20, Iss 12, Pp 21537-21562 (2023)
Predmety: Artificial intelligence, Cognitive Neuroscience, Emotions, Social Sciences, Experimental and Cognitive Psychology, Lateralization of brain function, Convolutional neural network, bi-hemispheric discrepancy, Speech recognition, Pattern recognition (psychology), EEG Analysis, Cognition, Artificial Intelligence, Cognitive psychology, emotion recognition, spatial attention, QA1-939, Psychology, Eye Tracking in Human-Computer Interaction, Deep Learning for EEG, spatio-temporal features, Brain, Life Sciences, Electroencephalography, Brain-Computer Interfaces in Neuroscience and Medicine, Computer science, FOS: Psychology, Human-Computer Interaction, Head Gesture Recognition, Emotion Recognition, Computer Science, Physical Sciences, Affective Computing, Emotion recognition, eeg, Classifier (UML), attention mechanism, TP248.13-248.65, Mathematics, Algorithms, Biotechnology, Emotion Recognition and Analysis in Multimodal Data, Neuroscience
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16
Autori:
Zdroj: Journal of Computer Science. 18:1170-1178
Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Natural language processing, Social Sciences, Experimental and Cognitive Psychology, 02 engineering and technology, Pattern recognition (psychology), Computer science, Machine Learning (cs.LG), FOS: Psychology, Social media, World Wide Web, Sentiment Analysis and Opinion Mining, Artificial Intelligence, Emotion Recognition, Computer Science, Physical Sciences, Multi-label Text Classification in Machine Learning, Microblogging, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Information retrieval, Emotion Recognition and Analysis in Multimodal Data
Prístupová URL adresa: http://arxiv.org/abs/2301.02971
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17
Autori: a ďalší
Zdroj: IEEE Access, Vol 8, Pp 187208-187221 (2020)
Predmety: Artificial intelligence, Cognitive Neuroscience, Internet of Things, Social Sciences, Experimental and Cognitive Psychology, 02 engineering and technology, COMPUTATION, Databases, HEALTH-CARE IOT, Engineering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Dynamics of Urban Structure through Spatial Network Analysis, Data mining, multimodal emotion detection, Life Sciences, Brain-Computer Interfaces in Neuroscience and Medicine, Computer science, Semantics, TK1-9971, multi-step deep (MSD) system, FOS: Psychology, Urban Studies, deep neural networks, Emotion Recognition, Task analysis, Computer Science, Affective Computing, Telecommunications, Feature extraction, Electrical & Electronic, Emotion recognition, Electrical engineering. Electronics. Nuclear engineering, invalid data, Multimodal Data, Biomedical monitoring, Information Systems, Emotion Recognition and Analysis in Multimodal Data, Neuroscience
Prístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09216023.pdf
https://doaj.org/article/5676a3c3b0a345d3b5d28e8dce27717c
https://dblp.uni-trier.de/db/journals/access/access8.html#LiXLLW20
https://doaj.org/article/5676a3c3b0a345d3b5d28e8dce27717c
https://ieeexplore.ieee.org/abstract/document/9216023 -
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Autori: a ďalší
Zdroj: IEEE Transactions on Affective Computing. 13:1183-1194
Predmety: Technology, Artificial intelligence, classifier chains, 1702 Cognitive Sciences, Social Sciences, facial expressions, 02 engineering and technology, Anxiety, Pattern recognition (psychology), Computer Science, Artificial Intelligence, Affective states, virtual rehabilitation, 0202 electrical engineering, electronic engineering, information engineering, Psychology, Computer Science, Cybernetics, affective states' dependency relationships, posture, multi-label classification, Psychiatry, hand movements, Deep Learning Applications in Healthcare, Life Sciences, Brain-Computer Interfaces in Neuroscience and Medicine, stroke, FOS: Psychology, Notation, Emotion Recognition, Physical Sciences, Multimodal Data, 0305 other medical science, Cybernetics, Emotion Recognition and Analysis in Multimodal Data, Cognitive Neuroscience, Experimental and Cognitive Psychology, 03 medical and health sciences, FACE, Artificial Intelligence, Machine learning, EMOTION, 0801 Artificial Intelligence and Image Processing, FOS: Mathematics, Science & Technology, Arithmetic, multimodal classification, Medical Concept Embedding, Computer science, Semi-Naive Bayesian classifier, 0806 Information Systems, finger pressure, Computer Science, Affective Computing, Classifier (UML), Mathematics, Neuroscience
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19
Autori: a ďalší
Zdroj: IEEE Access, Vol 10, Pp 20727-20744 (2022)
Predmety: Artificial intelligence, Robot, Social Sciences, 02 engineering and technology, Anger, Modality (human–computer interaction), 01 natural sciences, Human–robot interaction, Context (archaeology), Sociology, 0202 electrical engineering, electronic engineering, information engineering, Psychology, 10. No inequality, Robot control, Psychiatry, Human–computer interaction, Human Perception of Robots, Emotion Perception, Social science, FOS: Sociology, 3. Good health, FOS: Psychology, Emotion Recognition, Social robot, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Emotion Recognition and Analysis in Multimodal Data, Social Interaction with Robots, fusion process, Social Psychology, Experimental and Cognitive Psychology, social robots, Human-Robot Interaction, Modalities, Artificial Intelligence, Sadness, Machine learning, Mobile robot, Biology, 0105 earth and related environmental sciences, Paleontology, Computer science, TK1-9971, Process (computing), Operating system, Sentiment Analysis and Opinion Mining, multimodal models, Computer Science, Affective Computing, Emotion recognition
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20
Autori:
Prispievatelia:
Predmety: Emotion Recognition, Physiological Signals, Voice Activity, Multimodal Data Fusion, Machine Learning, Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias
Popis súboru: application/pdf
Dostupnosť: http://hdl.handle.net/10362/188006
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