Temat: "Learning" - OpacWWW

Skocz do pozycji: 1 1.

Tytuł :: Deus ex machina? Demystifying rather than deifying machine learning.
Autorzy :: Domaratzki M; Department of Computer Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
Kidane B; Section of Thoracic Surgery, Department of Surgery, University of Manitoba, Winnipeg, Manitoba, Canada; Research Institute in Oncology and Hematology, Cancer Care Manitoba, Winnipeg, Manitoba, Canada; Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada. Electronic address: .; Pokaż więcej
Źródło :: The Journal of thoracic and cardiovascular surgery [J Thorac Cardiovasc Surg] 2022 Mar; Vol. 163 (3), pp. 1131-1137.e4. Date of Electronic Publication: 2021 Mar 11.
Typ publikacji :: Editorial; Review
MeSH Terms :: Big Data*
Computational Biology*
Machine Learning*
Data Mining/*methods
Deep Learning ; Diffusion of Innovation ; Humans ; Supervised Machine Learning ; Unsupervised Machine Learning
: Recenzja

Szczegóły

Skocz do pozycji: 2 2.

Tytuł :: Conformist social learning leads to self-organised prevention against adverse bias in risky decision making.
Autorzy :: Toyokawa W; Department of Psychology, University of Konstanz, Konstanz, Germany.
Gaissmaier W; Department of Psychology, University of Konstanz, Konstanz, Germany.; Centre for the Advanced Study of Collective Behaviour, University of Konstanz,, Konstanz, Germany.; Pokaż więcej
Źródło :: ELife [Elife] 2022 May 10; Vol. 11. Date of Electronic Publication: 2022 May 10.
Typ publikacji :: Journal Article
MeSH Terms :: Social Learning*
Animals ; Behavior, Animal ; Decision Making ; Humans ; Learning
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 3 3.

Tytuł :: Spatial enhancement due to statistical learning tracks the estimated spatial probability.
Autorzy :: Zhang Y; Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China.; Institute for Brain Research and Rehabilitation, South China Normal University, Zhongshan Road West 55, Guangzhou, 510000, China.; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
Yang Y; Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China.; Institute for Brain Research and Rehabilitation, South China Normal University, Zhongshan Road West 55, Guangzhou, 510000, China.; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
Wang B; Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China. .; Institute for Brain Research and Rehabilitation, South China Normal University, Zhongshan Road West 55, Guangzhou, 510000, China. .; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China. .; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China. .
Theeuwes J; Department of Experimental and Applied Psychology, Vrije Universiteit, Amsterdam, the Netherlands.; Institute Brain and Behavior Amsterdam (iBBA), Amsterdam, the Netherlands.; William James Center for Research, ISPA-Instituto Universitario, 1149-041, Lisbon, Portugal.; Pokaż więcej
Źródło :: Attention, perception & psychophysics [Atten Percept Psychophys] 2022 May; Vol. 84 (4), pp. 1077-1086. Date of Electronic Publication: 2022 Apr 14.
Typ publikacji :: Journal Article
MeSH Terms :: Attentional Bias*
Learning*
Attention ; Humans ; Probability ; Probability Learning ; Reaction Time
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 4 4.

Tytuł :: Comparative study on detectability of learning and memory disorder between two water maze tests commonly used in juvenile rat toxicity studies using isoflurane inhaled rat model.
Autorzy :: Mineshima H; Department of Drug Safety Research, Nonclinical Research Center, Otsuka Pharmaceutical Co., Ltd., Tokushima, Japan.
Kimoto H; Department of Drug Safety Research, Nonclinical Research Center, Otsuka Pharmaceutical Co., Ltd., Tokushima, Japan.
Hitomi M; Department of Drug Safety Research, Nonclinical Research Center, Otsuka Pharmaceutical Co., Ltd., Tokushima, Japan.
Akizawa F; Department of Drug Safety Research, Nonclinical Research Center, Otsuka Pharmaceutical Co., Ltd., Tokushima, Japan.
Terayama Y; Department of Drug Safety Research, Nonclinical Research Center, Otsuka Pharmaceutical Co., Ltd., Tokushima, Japan.
Yoshikawa T; Department of Drug Safety Research, Nonclinical Research Center, Otsuka Pharmaceutical Co., Ltd., Tokushima, Japan.; Pokaż więcej
Źródło :: Congenital anomalies [Congenit Anom (Kyoto)] 2022 May; Vol. 62 (3), pp. 96-104. Date of Electronic Publication: 2022 Mar 06.
Typ publikacji :: Journal Article
MeSH Terms :: Isoflurane*/toxicity
Learning Disabilities*/chemically induced
Learning Disabilities*/diagnosis
Animals ; Brain ; Female ; Male ; Maze Learning ; Memory Disorders ; Rats
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 5 5.

Tytuł :: The Interpersonal Neuroscience of Social Learning.
Autorzy :: Pan Y; Department of Clinical Neuroscience, Karolinska Institutet.
Novembre G; Neuroscience of Perception and Action Lab, Italian Institute of Technology.
Olsson A; Department of Clinical Neuroscience, Karolinska Institutet.; Pokaż więcej
Źródło :: Perspectives on psychological science : a journal of the Association for Psychological Science [Perspect Psychol Sci] 2022 May; Vol. 17 (3), pp. 680-695. Date of Electronic Publication: 2021 Oct 12.
Typ publikacji :: Journal Article
MeSH Terms :: Neurosciences*
Social Learning*
Brain ; Humans ; Interpersonal Relations ; Learning ; Social Behavior
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 6 6.

Tytuł :: Graph convolutional neural network applied to the prediction of normal boiling point.
Autorzy :: Qu C; National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899, USA. Electronic address: .
Kearsley AJ; National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899, USA. Electronic address: .
Schneider BI; National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899, USA. Electronic address: .
Keyrouz W; National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899, USA. Electronic address: .
Allison TC; National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD, 20899, USA. Electronic address: .; Pokaż więcej
Źródło :: Journal of molecular graphics & modelling [J Mol Graph Model] 2022 May; Vol. 112, pp. 108149. Date of Electronic Publication: 2022 Feb 04.
Typ publikacji :: Journal Article
MeSH Terms :: Deep Learning*
Machine Learning ; Neural Networks, Computer
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 7 7.

Tytuł :: Gaining access to the unknown: Preschoolers privilege unknown information as the target of their questions about verbs.
Autorzy :: Janakiefski L; Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37212, USA. Electronic address: .
Tippenhauer N; Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37212, USA.
Liu Q; Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37212, USA.
Green M; Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37212, USA.
Loughmiller S; Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37212, USA.
Saylor MM; Department of Psychology and Human Development, Vanderbilt University, Nashville, TN 37212, USA.; Pokaż więcej
Źródło :: Journal of experimental child psychology [J Exp Child Psychol] 2022 May; Vol. 217, pp. 105358. Date of Electronic Publication: 2022 Jan 25.
Typ publikacji :: Journal Article
MeSH Terms :: Language Development*
Verbal Learning*
Child ; Child, Preschool ; Communication ; Humans ; Problem-Based Learning
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 8 8.

Tytuł :: Spatial preferences account for inter-animal variability during the continual learning of a dynamic cognitive task.
Autorzy :: Kastner DB; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: .
Miller EA; Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
Yang Z; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA 94143, USA.
Roumis DK; Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
Liu DF; Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA.
Frank LM; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, MD 20815, USA.
Dayan P; Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany; University of Tübingen, 72074 Tübingen, Germany.; Pokaż więcej
Źródło :: Cell reports [Cell Rep] 2022 Apr 19; Vol. 39 (3), pp. 110708.
Typ publikacji :: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms :: Learning*/physiology
Reinforcement, Psychology*
Animals ; Cognition ; Maze Learning/physiology ; Rats
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 9 9.

Tytuł :: Vocabulary Learning During Reading: Benefits of Contextual Inferences Versus Retrieval Opportunities.
Autorzy :: van den Broek GSE; Department of Education, Utrecht University.
Wesseling E; Department of Education, Utrecht University.
Huijssen L; Department of Education, Utrecht University.
Lettink M; Department of Education, Utrecht University.
van Gog T; Department of Education, Utrecht University.; Pokaż więcej
Źródło :: Cognitive science [Cogn Sci] 2022 Apr; Vol. 46 (4), pp. e13135.
Typ publikacji :: Journal Article
MeSH Terms :: Learning*
Vocabulary*
Feedback ; Female ; Humans ; Mental Recall ; Verbal Learning
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 10 10.

Tytuł :: Uncharted Waters of Machine and Deep Learning for Surgical Phase Recognition in Neurosurgery.
Autorzy :: Jumah F; Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA.
Raju B; Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA.
Nagaraj A; Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA.
Shinde R; Department of Computer Science, Rutgers University, New Brunswick, New Jersey, USA.
Lescott C; New Jersey Medical School, Rutgers University, Newark, New Jersey, USA.
Sun H; Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA.
Gupta G; Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA.
Nanda A; Department of Neurosurgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA; Department of Computer Science, Rutgers University, New Brunswick, New Jersey, USA. Electronic address: .; Pokaż więcej
Źródło :: World neurosurgery [World Neurosurg] 2022 Apr; Vol. 160, pp. 4-12. Date of Electronic Publication: 2022 Jan 11.
Typ publikacji :: Journal Article; Review
MeSH Terms :: Deep Learning*
Neurosurgery*
Artificial Intelligence ; Humans ; Machine Learning ; Neurosurgical Procedures
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 11 11.

Tytuł :: Cross-modal distribution alignment embedding network for generalized zero-shot learning.
Autorzy :: Li Q; School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China.
Hou M; State Key Laboratory of Integrated Services Networks, Xidian University, Shaanxi 710071, China.
Lai H; School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen 518172, China. Electronic address: .
Yang M; Departments of Mathematics and Computer & Information Science, Westfield State University, Westfield, MA 01086, United States of America.; Pokaż więcej
Źródło :: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2022 Apr; Vol. 148, pp. 176-182. Date of Electronic Publication: 2022 Jan 29.
Typ publikacji :: Journal Article
MeSH Terms :: Machine Learning*
Semantics*
Knowledge ; Learning ; Semantic Web
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 12 12.

Tytuł :: An Examination of Study Time Allocation as a Contributor to Sex Differences in Multitrial Verbal Learning Performance.
Autorzy :: Krueger LE; Texas A&M University-Commerce, Commerce, TX, USA.; Pokaż więcej
Źródło :: Psychological reports [Psychol Rep] 2022 Apr; Vol. 125 (2), pp. 822-838. Date of Electronic Publication: 2021 Jan 20.
Typ publikacji :: Journal Article
MeSH Terms :: Sex Characteristics*
Verbal Learning*/physiology
Cognition ; Female ; Humans ; Learning ; Male ; Memory/physiology ; Neuropsychological Tests
: Czasopismo naukowe

Szczegóły Pełny tekst Pełny tekst

Skocz do pozycji: 13 13.

Tytuł :: Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks.
Autorzy :: Chen KW; Department of BioMedical Engineering, National Cheng Kung University, Tainan City 70101, Taiwan.
Bear L; Electrophysiology and Heart Modelling Institute (IHU-LIRYC), Fondation Bordeaux Université, 33000 Bordeaux, France.; Centre de Recherche Cardio-Thoracique de Bordeaux, INSERM U1045, Université de Bordeaux, 33600 Pessac, France.
Lin CW; Department of BioMedical Engineering, National Cheng Kung University, Tainan City 70101, Taiwan.; Pokaż więcej
Źródło :: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Mar 17; Vol. 22 (6). Date of Electronic Publication: 2022 Mar 17.
Typ publikacji :: Journal Article
MeSH Terms :: Deep Learning*
Animals ; Electrocardiography ; Machine Learning ; Neural Networks, Computer ; Swine
: Czasopismo naukowe

Szczegóły Pełny tekst Pełny tekst

Skocz do pozycji: 14 14.

Tytuł :: Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning.
Autorzy :: Jiang D; College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, China.; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.; Tencent Quantum Laboratory, Tencent, Shenzhen 518057, Guangdong, China.
Sun H; Department of Medicinal Chemistry, China Pharmaceutical University, Nanjing 210009, Jiangsu, China.
Wang J; Artificial Intelligence Institute, National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan 430072, Hubei, China.
Hsieh CY; Tencent Quantum Laboratory, Tencent, Shenzhen 518057, Guangdong, China.
Li Y; College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China.
Wu Z; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.
Cao D; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410004, Hunan, China.
Wu J; College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, China.; Department of Ophthalmology of the Second Affiliated Hospital School of Medicine, and School of Public Health, Zhejiang University, Hangzhou 310058, China.
Hou T; Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.; Pokaż więcej
Źródło :: Briefings in bioinformatics [Brief Bioinform] 2022 Mar 10; Vol. 23 (2).
Typ publikacji :: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :: Deep Learning*
Drug Design ; Machine Learning ; Reproducibility of Results ; Software
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 15 15.

Tytuł :: A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks.
Autorzy :: Gupta C; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India.
Johri I; School of Information Technology and Engineering, Vellore Institute of Technology, Vellore 632014, India.
Srinivasan K; School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, India.
Hu YC; Department of Mechanical and Electromechanical Engineering, National ILan University, Yilan 26047, Taiwan.
Qaisar SM; Electrical and Computer Engineering Department, Effat University, Jeddah 22332, Saudi Arabia.
Huang KY; Department of Bio-Industrial Mechatronic Engineering, National Chung Hsing University, Taichung 402, Taiwan.; Pokaż więcej
Źródło :: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Mar 04; Vol. 22 (5). Date of Electronic Publication: 2022 Mar 04.
Typ publikacji :: Journal Article; Review; Systematic Review
MeSH Terms :: Computer Communication Networks*
Deep Learning*
Artificial Intelligence ; Electronics ; Machine Learning
: Czasopismo naukowe

Szczegóły Pełny tekst Pełny tekst

Skocz do pozycji: 16 16.

Tytuł :: Undergraduates' lived experience of project-/problem-based learning in introductory biology.
Autorzy :: Webster A; Biology Department, Oberlin College, Oberlin, Ohio.
Metcalf A; Biology Department, Oberlin College, Oberlin, Ohio.
Kelly L; Biology Department, Oberlin College, Oberlin, Ohio.
Bisesi A; Center for Learning, Education, and Research in the Sciences, Oberlin College, Oberlin, Ohio.
Marnik-Said M; Biology Department, Oberlin College, Oberlin, Ohio.
Colbeck C; Organizational Change Consultants, Sequim, Washington.
Marine R; Organizational Change Consultants, Sequim, Washington.
Vinces M; Center for Learning, Education, and Research in the Sciences, Oberlin College, Oberlin, Ohio.; Weinberg College Adviser, Northwestern University, Evanston, Illinois.
Campbell A; Biology Department, Oberlin College, Oberlin, Ohio.
Allen T; Biology Department, Oberlin College, Oberlin, Ohio.; Pokaż więcej
Źródło :: Advances in physiology education [Adv Physiol Educ] 2022 Mar 01; Vol. 46 (1), pp. 162-178. Date of Electronic Publication: 2022 Jan 06.
Typ publikacji :: Journal Article
MeSH Terms :: Ecosystem*
Problem-Based Learning*
Biology ; Humans ; Learning ; Students
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 17 17.

Tytuł :: Machine learning and deep learning enabled fuel sooting tendency prediction from molecular structure.
Autorzy :: Li R; Department of Mechanical Engineering, School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Herreros JM; Department of Mechanical Engineering, School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Tsolakis A; Department of Mechanical Engineering, School of Engineering, College of Engineering and Physical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom. Electronic address: .
Yang W; Shenzhen Gas Corporation Ltd., No.268, Meiao 1st Road, Futian District, Shenzhen, 518049, China.; Pokaż więcej
Źródło :: Journal of molecular graphics & modelling [J Mol Graph Model] 2022 Mar; Vol. 111, pp. 108083. Date of Electronic Publication: 2021 Nov 22.
Typ publikacji :: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :: Deep Learning*
Machine Learning ; Molecular Structure ; Neural Networks, Computer ; Soot
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 18 18.

Tytuł :: Behind teaching-learning strategies in physiology: perceptions of students and teachers of Brazilian medical courses.
Autorzy :: Nasre-Nasser RG; Post-graduation Program in Physiological Sciences, Instituto de Ciências Biológicas, Universidade Federal do Rio Grande (FURG), Rio Grande do Sul, Brazil.
Oliveira GA; Post-graduation Program in Biological Sciences: Physiology, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil.
Marques Ribeiro MF; Department of Physiology, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil.
Arbo BD; Department of Pharmacology, Instituto de Ciências Básicas da Saúde, Universidade Federal do Rio Grande do Sul, Rio Grande do Sul, Brazil.; Pokaż więcej
Źródło :: Advances in physiology education [Adv Physiol Educ] 2022 Mar 01; Vol. 46 (1), pp. 98-108. Date of Electronic Publication: 2021 Dec 02.
Typ publikacji :: Journal Article
MeSH Terms :: Learning*
Students, Medical*
Brazil ; Faculty, Medical ; Humans ; Problem-Based Learning ; Students ; Surveys and Questionnaires ; Teaching
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 19 19.

Tytuł :: Mixed Selectivity in the Cerebellar Purkinje-Cell Response during Visuomotor Association Learning.
Autorzy :: Sendhilnathan N; Doctoral Program in Neurobiology and Behavior, Columbia University, New York 10027, New York .; Department of Neuroscience, Columbia University, New York 10027, New York.; Mahoney Center for Brain and Behavior Research, Columbia University, New York 10032, New York.; Zuckerman Mind, Brain, and Behavior Institute, Columbia University, New York 10027, New York.
Goldberg ME; Department of Neuroscience, Columbia University, New York 10027, New York.; Mahoney Center for Brain and Behavior Research, Columbia University, New York 10032, New York.; Kavli Institute for Brain Science, Columbia University, New York 10027, New York.; Zuckerman Mind, Brain, and Behavior Institute, Columbia University, New York 10027, New York.; Department of Neurology, Psychiatry, and Ophthalmology, Columbia University College of Physicians and Surgeons, New York 10032, New York.
Ipata AE; Department of Neuroscience, Columbia University, New York 10027, New York.; Mahoney Center for Brain and Behavior Research, Columbia University, New York 10032, New York.; Zuckerman Mind, Brain, and Behavior Institute, Columbia University, New York 10027, New York.; Pokaż więcej
Źródło :: The Journal of neuroscience : the official journal of the Society for Neuroscience [J Neurosci] 2022 May 04; Vol. 42 (18), pp. 3847-3855. Date of Electronic Publication: 2022 Mar 29.
Typ publikacji :: Journal Article
MeSH Terms :: Association Learning*
Purkinje Cells*/physiology
Animals ; Cerebellum/physiology ; Female ; Haplorhini ; Learning/physiology ; Male ; Movement/physiology ; Reward
: Czasopismo naukowe

Szczegóły

Skocz do pozycji: 20 20.

Tytuł :: TATL: Task agnostic transfer learning for skin attributes detection.
Autorzy :: Nguyen DMH; German Research Center for Artificial Intelligence, Saarbrücken, Germany; Max Planck Institute for Informatics, Germany.
Nguyen TT; University of Louisiana at Lafayette, USA.
Vu H; University of California, Berkeley, USA.
Pham Q; School of Computing and Information Systems, Singapore Management University, Singapore.
Nguyen MD; School of Computing, Dublin City University, Ireland.
Nguyen BT; AISIA Research Lab, Ho Chi Minh City, Vietnam; University of Science, Ho Chi Minh City, Vietnam; Vietnam National University, Ho Chi Minh City, Vietnam. Electronic address: .
Sonntag D; German Research Center for Artificial Intelligence, Saarbrücken, Germany; Oldenburg University, Germany.; Pokaż więcej
Źródło :: Medical image analysis [Med Image Anal] 2022 May; Vol. 78, pp. 102359. Date of Electronic Publication: 2022 Feb 13.
Typ publikacji :: Journal Article
MeSH Terms :: Learning*
Neural Networks, Computer*
Benchmarking ; Humans ; Machine Learning
: Czasopismo naukowe

Szczegóły

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