المؤلفون: Lianyong Qi, Fan Wang, Gautam Srivastava, Mohammad Reza Khosravi, Haibin Zhu, Shancang Li

المصدر: IEEE Transactions on Computational Social Systems. 9:986-996

مصطلحات موضوعية: business.industry, Computer science, 020206 networking & telecommunications, 02 engineering and technology, Recommender system, Complex network, Machine learning, computer.software_genre, Popularity, Preference, Human-Computer Interaction, Data set, Robustness (computer science), Modeling and Simulation, 0202 electrical engineering, electronic engineering, information engineering, Collaborative filtering, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Social Sciences (miscellaneous)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::28143f1fdf4da0fe01ec99af64934a9d
https://doi.org/10.1109/tcss.2021.3064213

المؤلفون: Radko Mesiar, Reza Saadati, Abbas Ghaffari

المصدر: Fuzzy Sets and Systems. 430:144-173

مصطلحات موضوعية: 0209 industrial biotechnology, Logic, 02 engineering and technology, Type (model theory), Measure (mathematics), Fuzzy logic, Algebra, Set (abstract data type), 020901 industrial engineering & automation, Artificial Intelligence, Position (vector), Norm (mathematics), Convergence (routing), 0202 electrical engineering, electronic engineering, information engineering, Fuzzy number, 020201 artificial intelligence & image processing, Mathematics

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::81b9ed394f0207f44db05c9959102d56
https://doi.org/10.1016/j.fss.2021.03.018

المؤلفون: Taha Mansouri, Nila Bahrambeik, Anahita Farhang Ghahfarokhi, Mohammad Reza Sadeghi Moghaddam, Ramin Yavari, Mohammadreza Fani Sani

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Artificial Intelligence, Computer science, Value (computer science), 02 engineering and technology, Machine learning, computer.software_genre, Theoretical Computer Science, Chromosome (genetic algorithm), 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Computer Science (miscellaneous), Neural and Evolutionary Computing (cs.NE), Engineering (miscellaneous), Elektrotechnik, Fitness function, Receiver operating characteristic, business.industry, Artificial immune system, Credit card fraud, Computer Science - Neural and Evolutionary Computing, Variable (computer science), Artificial Intelligence (cs.AI), Control and Systems Engineering, Benchmark (computing), 020201 artificial intelligence & image processing, Artificial intelligence, business, computer, Social Sciences (miscellaneous)

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e28a87fd56d54b8926416eb2b38dcbbf

المؤلفون: Hamid Reza Karimi, Ali Zemouche, Xu Jin, Ning Wang

المساهمون: Politecnico di Milano [Milan] (POLIMI), Dalian Maritime University, University of Kentucky, Centre de Recherche en Automatique de Nancy (CRAN), Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Italian Ministry of Education, University and Research through the Project 'Department of Excellence LIS4.0-Lightweight and Smart Structures for Industry 4.0', Liaoning Revitalization Talents Program (under Grant XLYC1807013), Equipment Pre-Research Fund of Key Laboratory (under Grant 6142215200106), NASA Kentucky under NASA award No: 80NSSC20M0047, Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)

المصدر: Neurocomputing
Neurocomputing, Elsevier, In press, pp.In Press, Corrected Proof. ⟨10.1016/j.neucom.2021.11.086⟩

مصطلحات موضوعية: 0209 industrial biotechnology, Artificial neural network, Computer science, Cognitive Neuroscience, Reliability (computer networking), Distributed computing, SIGNAL (programming language), Context (language use), Fault tolerance, 02 engineering and technology, Field (computer science), [SPI.AUTO]Engineering Sciences [physics]/Automatic, Computer Science Applications, 020901 industrial engineering & automation, Artificial Intelligence, Component (UML), 0202 electrical engineering, electronic engineering, information engineering, Reinforcement learning, 020201 artificial intelligence & image processing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1531ef637af3b2e12b5bcb107be0cbe
https://doi.org/10.1016/j.neucom.2021.11.086

المؤلفون: Chiang-Shan R. Li, Sage Hahn, Robert Hester, Martin P. Paulus, Luijten Maartje, Valentina Lorenzetti, Catherine Orr, Kent Hutchinson, Nicholas Allgaier, Falk Kiefer, Henrik Walter, Patricia J. Conrod, Elliot A. Stein, Rajita Sinha, Scott Mackey, Dan J. Stein, Reinout W. Wiers, John J. Foxe, Edythe D. London, Murat Yücel, Tristram A. Lett, Dick J. Veltman, Andreas Heinz, Lianne Schmaal, Hugh Garavan, Janna Cousijn, Ruth J. van Holst, Ozlem Korucuoglu, Zsuzsika Sjoerds, Reza Momenan, Paul M. Thompson

المساهمون: Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Anatomy and neurosciences, Psychiatry, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Ontwikkelingspsychologie (Psychologie, FMG), Adult Psychiatry, ANS - Brain Imaging, ANS - Compulsivity, Impulsivity & Attention, APH - Mental Health

المصدر: Human brain mapping, vol 43, iss 1
Human Brain Mapping, 43, 1, pp. 555-565
Human Brain Mapping, 43(1), 555-565. Wiley-Liss Inc.
Human Brain Mapping
HUMAN BRAIN MAPPING
Hahn, S, Mackey, S, Cousijn, J, Foxe, J J, Heinz, A, Hester, R, Hutchinson, K, Kiefer, F, Korucuoglu, O, Lett, T, Li, C-S R, London, E, Lorenzetti, V, Maartje, L, Momenan, R, Orr, C, Paulus, M, Schmaal, L, Sinha, R, Sjoerds, Z, Stein, D J, Stein, E, van Holst, R J, Veltman, D, Walter, H, Wiers, R W, Yucel, M, Thompson, P M, Conrod, P, Allgaier, N & Garavan, H 2022, ' Predicting alcohol dependence from multi-site brain structural measures ', Human Brain Mapping, vol. 43, no. 1, pp. 555-565 . https://doi.org/10.1002/hbm.25248
Human brain mapping, 43(1), 555-565. Wiley-Liss Inc.
Human Brain Mapping, 43, 555-565

مصطلحات موضوعية: Computer science, alcohol dependence, 02 engineering and technology, Alcohol use disorder, Logistic regression, Machine Learning, Alcohol Use and Health, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, genetic algorithm, Multicenter Studies as Topic, Research Articles, Cerebral Cortex, Radiological and Ultrasound Technology, 05 social sciences, Putamen, Substance Abuse, Experimental Psychology, Magnetic Resonance Imaging, Regression, Alcoholism, machine learning, Neurology, Neurological, 020201 artificial intelligence & image processing, Cognitive Sciences, addiction, Anatomy, Research Article, Feature selection, Neuroimaging, multi‐site, 050105 experimental psychology, Cross-validation, 03 medical and health sciences, multi-site, Genetic algorithm, medicine, Humans, Generalizability theory, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, structural MRI, Receiver operating characteristic, business.industry, Alcohol dependence, Neurosciences, Reproducibility of Results, Pattern recognition, prediction, medicine.disease, Brain Disorders, Exploratory data analysis, Test set, Neurology (clinical), Artificial intelligence, business, 170 000 Motivational & Cognitive Control, Developmental Psychopathology, 030217 neurology & neurosurgery

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88d83a5a7a2602ea98f788f1a0505b07
https://hdl.handle.net/2066/226131

المؤلفون: Xiaofang Zhou, Wen Hua, Mohammad Reza Kangavari, Saeed Najafipour, Saeid Hosseini

المصدر: IEEE Transactions on Knowledge and Data Engineering. 34:448-461

مصطلحات موضوعية: FOS: Computer and information sciences, Text corpus, Computer Science - Machine Learning, Computer science, Machine Learning (stat.ML), 02 engineering and technology, computer.software_genre, Semantics, Computer Science - Information Retrieval, Machine Learning (cs.LG), Text mining, Named-entity recognition, Statistics - Machine Learning, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Relevance (information retrieval), Context model, Computer Science - Computation and Language, business.industry, Computer Science Applications, Computational Theory and Mathematics, Vector space model, Graph (abstract data type), Embedding, Artificial intelligence, business, Computation and Language (cs.CL), computer, Information Retrieval (cs.IR), Natural language processing, Information Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f2f556b870c8ea3fe6120369ffdb8af
https://doi.org/10.1109/tkde.2020.2982148

المؤلفون: Zoleikha Jahanbakhsh-Nagadeh, Meysam Asgari-Chenaghlu, Majid Ramezani, Mohammad Ali Balafar, Narjes Nikzad-Khasmakhi, Mehrdad Ranjbar-Khadivi, Ali-Reza Feizi-Derakhshi, Taymaz Rahkar-Farshi, Elnaz Zafarani-Moattar, Mohammad-Reza Feizi-Derakhshi

المصدر: Information Sciences. 542:212-227

مصطلحات موضوعية: Information Systems and Management, Multimedia, business.industry, Computer science, 05 social sciences, Chaotic, 050301 education, Cryptography, 02 engineering and technology, Encryption, computer.software_genre, Object detection, Computer Science Applications, Theoretical Computer Science, Artificial Intelligence, Control and Systems Engineering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Social media, business, 0503 education, computer, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6999bb1e1621de545113a56fbde51ee9
https://doi.org/10.1016/j.ins.2020.07.007

المؤلفون: Carlos Busso, Reza Lotfian

المصدر: IEEE Transactions on Affective Computing. 12:870-882

مصطلحات موضوعية: Majority rule, Artificial neural network, business.industry, Computer science, media_common.quotation_subject, 020207 software engineering, 02 engineering and technology, computer.software_genre, Agreement, Human-Computer Interaction, 030507 speech-language pathology & audiology, 03 medical and health sciences, Perception, Classifier (linguistics), 0202 electrical engineering, electronic engineering, information engineering, Task analysis, Artificial intelligence, 0305 other medical science, business, Categorical variable, computer, Software, Sentence, Natural language processing, media_common

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::dcb1a03e145427977cfc4b2ec0ec5b0d
https://doi.org/10.1109/taffc.2019.2901465

المؤلفون: M. B. Ehghaghi, Mir Mohammad Ettefagh, Ali Dibaj, Reza Hassannejad

المصدر: ISA Transactions. 114:413-433

مصطلحات موضوعية: 0209 industrial biotechnology, Bearing (mechanical), Optimization algorithm, business.industry, Computer science, Applied Mathematics, 020208 electrical & electronic engineering, Bandwidth (signal processing), Observable, Pattern recognition, 02 engineering and technology, Fault severity, Computer Science Applications, Diagnosis methods, law.invention, Vibration, 020901 industrial engineering & automation, Control and Systems Engineering, law, 0202 electrical engineering, electronic engineering, information engineering, Kurtosis, Artificial intelligence, Electrical and Electronic Engineering, business, Instrumentation

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6453fe35cbea47e90e34c336bec286ea
https://doi.org/10.1016/j.isatra.2020.12.041

المؤلفون: Mohammad Reza Khosravi, Sadegh Samadi, Reza Mohseni

المصدر: Current Signal Transduction Therapy. 15:144-196

مصطلحات موضوعية: Computer science, business.industry, 020208 electrical & electronic engineering, 02 engineering and technology, 01 natural sciences, Intra-frame, 0104 chemical sciences, law.invention, 010404 medicinal & biomolecular chemistry, Endocrinology, law, Resampling, 0202 electrical engineering, electronic engineering, information engineering, Pharmacology (medical), Computer vision, Artificial intelligence, Radar, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a199a5395f4b8a252e0d711ac851bbe7
https://doi.org/10.2174/2213275912666190618165125