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Wyszukujesz frazę ""learning"" wg kryterium: Temat


Tytuł:
Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification.
Autorzy:
Tutsoy O; Adana Alparslan Turkes Science and Technology University, Adana, Turkey. .
Koç GG; Adana Alparslan Turkes Science and Technology University, Adana, Turkey.
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2024 Mar 08; Vol. 25 (1), pp. 103. Date of Electronic Publication: 2024 Mar 08.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Machine Learning*
Supervised Machine Learning
Czasopismo naukowe
Tytuł:
Shallow and deep learning classifiers in medical image analysis.
Autorzy:
Prinzi F; Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.; Department of Computer Science and Technology, University of Cambridge, Cambridge, CB2 1TN, UK.
Currieri T; Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy.
Gaglio S; Department of Engineering, University of Palermo, Palermo, Italy.; Institute for High-Performance Computing and Networking, National Research Council (ICAR-CNR), Palermo, Italy.
Vitabile S; Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Palermo, Italy. .
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Źródło:
European radiology experimental [Eur Radiol Exp] 2024 Mar 05; Vol. 8 (1), pp. 26. Date of Electronic Publication: 2024 Mar 05.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artificial Intelligence*
Deep Learning*
Algorithms ; Machine Learning ; Neural Networks, Computer
Czasopismo naukowe
Tytuł:
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization.
Autorzy:
Li J; Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: .
Li Y; Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: .
Tan J; Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. Electronic address: .
Liu C; Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: .
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Źródło:
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2024 Mar; Vol. 171, pp. 186-199. Date of Electronic Publication: 2023 Dec 12.
Typ publikacji:
Journal Article
MeSH Terms:
Problem-Based Learning*
Generalization, Psychological*
Protein Transport ; Supervised Machine Learning
Czasopismo naukowe
Tytuł:
Machine learning and deep learning enabled age estimation on medial clavicle CT images.
Autorzy:
Qiu L; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China.
Liu A; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China.; University of Electronic Science and Technology of China, Chengdu, 611731, People's Republic of China.
Dai X; Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Liu G; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China.
Peng Z; Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Zhan M; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China.
Liu J; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China.
Gui Y; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China.
Zhu H; College of Computer Science, Sichuan University, Chengdu, 610064, People's Republic of China.
Chen H; College of Computer Science, Sichuan University, Chengdu, 610064, People's Republic of China.
Deng Z; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China. .
Fan F; West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, People's Republic of China. .
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Źródło:
International journal of legal medicine [Int J Legal Med] 2024 Mar; Vol. 138 (2), pp. 487-498. Date of Electronic Publication: 2023 Nov 08.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Humans ; Clavicle/diagnostic imaging ; Retrospective Studies ; Age Determination by Skeleton/methods ; Machine Learning ; Tomography, X-Ray Computed/methods
Czasopismo naukowe
Tytuł:
The Neural Correlates of Individual Differences in Reinforcement Learning during Pain Avoidance and Reward Seeking.
Autorzy:
Le TM; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06519 .
Oba T; Human Informatics and Interaction Research Institute, the National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8560, Japan.
Couch L; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06519.
McInerney L; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06519.
Li CR; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06519.; Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut 06520.; Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut 06520.; Wu Tsai Institute, Yale University, New Haven, Connecticut 06510.
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Źródło:
ENeuro [eNeuro] 2024 Feb 27; Vol. 11 (2). Date of Electronic Publication: 2024 Feb 27 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Individuality*
Learning*
Humans ; Reinforcement, Psychology ; Reward ; Pain/diagnostic imaging ; Magnetic Resonance Imaging ; Avoidance Learning/physiology
Czasopismo naukowe
Tytuł:
Revolutionizing crop disease detection with computational deep learning: a comprehensive review.
Autorzy:
Ngugi HN; School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, King Edward Avenue, Pietermaritzburg, KwaZulu-Natal, 3201, South Africa.
Ezugwu AE; Unit for Data Science and Computing, North-West University, 11 Hoffman Street, Potchefstroom, 2520, South Africa. .
Akinyelu AA; Department of Computer Science and Informatics, University of the Free State, Bloemfontein, South Africa.
Abualigah L; Artificial Intelligence and Sensing Technologies (AIST) Research Center, University of Tabuk, Tabuk, 71491, Saudi Arabia. .; Computer Science Department, Al al-Bayt University, Mafraq, 25113, Jordan. .; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328, Jordan. .; MEU Research Unit, Middle East University, Amman, 11831, Jordan. .; Department of Electrical and Computer Engineering, Lebanese American University, Byblos, 13-5053, Lebanon. .; School of Engineering and Technology, Sunway University Malaysia, Petaling Jaya, 27500, Malaysia. .; Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan. .; College of Engineering, Yuan Ze University, Taoyuan, Taiwan. .
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Źródło:
Environmental monitoring and assessment [Environ Monit Assess] 2024 Feb 24; Vol. 196 (3), pp. 302. Date of Electronic Publication: 2024 Feb 24.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Deep Learning*
Environmental Monitoring ; Neural Networks, Computer ; Algorithms ; Machine Learning
Czasopismo naukowe
Tytuł:
Kinome-Wide Virtual Screening by Multi-Task Deep Learning.
Autorzy:
Hu J; Dr. John T. Macdonald Foundation Department of Human Genetics and John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Allen BK; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Institute for Data Science & Computing, University of Miami, Miami, FL 33136, USA.
Stathias V; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Ayad NG; Center for Therapeutic Innovation Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Miami Project to Cure Paralysis, Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
Schürer SC; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Institute for Data Science & Computing, University of Miami, Miami, FL 33136, USA.; Center for Therapeutic Innovation Miller School of Medicine, University of Miami, Miami, FL 33136, USA.; Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
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Źródło:
International journal of molecular sciences [Int J Mol Sci] 2024 Feb 22; Vol. 25 (5). Date of Electronic Publication: 2024 Feb 22.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Humans ; Phosphotransferases ; Drug Discovery/methods ; Polypharmacology ; Machine Learning
Czasopismo naukowe
Tytuł:
Comparing the effects of team-based and problem-based learning strategies in medical education: a systematic review.
Autorzy:
Zhang W; Department of orthopaedics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China.
Wei J; Department of orthopaedics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China.
Guo W; Department of orthopaedics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China.
Wang Z; Department of orthopaedics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China.
Chen S; Department of orthopaedics, Affiliated Hospital of Guangdong Medical University, Zhanjiang, PR China. .
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Źródło:
BMC medical education [BMC Med Educ] 2024 Feb 22; Vol. 24 (1), pp. 172. Date of Electronic Publication: 2024 Feb 22.
Typ publikacji:
Systematic Review; Meta-Analysis; Journal Article
MeSH Terms:
Problem-Based Learning*/methods
Education, Medical*/methods
Humans ; Learning ; Curriculum ; Educational Measurement
Czasopismo naukowe
Tytuł:
Segmenting mechanically heterogeneous domains via unsupervised learning.
Autorzy:
Nguyen Q; Department of Mechanical Engineering, Boston University, Boston, MA, 02215, USA.
Lejeune E; Department of Mechanical Engineering, Boston University, Boston, MA, 02215, USA. .
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Źródło:
Biomechanics and modeling in mechanobiology [Biomech Model Mechanobiol] 2024 Feb; Vol. 23 (1), pp. 349-372. Date of Electronic Publication: 2024 Jan 13.
Typ publikacji:
Journal Article
MeSH Terms:
Unsupervised Machine Learning*
Robotics*/methods
Machine Learning ; Computer Simulation ; Biomechanical Phenomena
Czasopismo naukowe
Tytuł:
From pixels to insights: Machine learning and deep learning for bioimage analysis.
Autorzy:
Jan M; Department of Chemistry and Biology, Toronto Metropolitan University, Toronto, Canada.
Spangaro A; Department of Chemistry and Biology, Toronto Metropolitan University, Toronto, Canada.
Lenartowicz M; Department of Chemistry and Biology, Toronto Metropolitan University, Toronto, Canada.
Mattiazzi Usaj M; Department of Chemistry and Biology, Toronto Metropolitan University, Toronto, Canada.
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Źródło:
BioEssays : news and reviews in molecular, cellular and developmental biology [Bioessays] 2024 Feb; Vol. 46 (2), pp. e2300114. Date of Electronic Publication: 2023 Dec 06.
Typ publikacji:
Journal Article; Review; Research Support, Non-U.S. Gov't
MeSH Terms:
Deep Learning*
Image Processing, Computer-Assisted/methods ; Microscopy, Fluorescence/methods ; Software ; Machine Learning
Czasopismo naukowe
Tytuł:
Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants.
Autorzy:
Gou C; School of Agriculture, Forestry and Food Engineering, Yibin University, 644000 Yibin, Sichuan, China.
Zafar S; Botany Department, Government College University, 38000 Faisalabad, Punjab, Pakistan.
Hasnain Z; PMAS Arid Agriculture University, Rawalpindi, 44000 Rawalpindi, Punjab, Pakistan.
Aslam N; Botany Department, Government College University, 38000 Faisalabad, Punjab, Pakistan.
Iqbal N; Botany Department, Government College University, 38000 Faisalabad, Punjab, Pakistan.
Abbas S; College of Biological Sciences and Biotechnology, Beijing Forestry University, 100091 Beijing, China.
Li H; College of Forestry, Inner Mongolia Agricultural University, 010019 Hohhot, China.
Li J; School of Agriculture, Forestry and Food Engineering, Yibin University, 644000 Yibin, Sichuan, China.
Chen B; School of Agriculture, Forestry and Food Engineering, Yibin University, 644000 Yibin, Sichuan, China.
Ragauskas AJ; Department of Forestry, Wildlife, and Fisheries, Center for Renewable Carbon, University of Tennessee Institute of Agriculture, Knoxville, TN 37996, USA.; Joint Institute for Biological Science, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.; Department of Chemical and Biomolecular Engineering, University of Tennessee Knoxville, Knoxville, TN 37996, USA.
Abbas M; School of Agriculture, Forestry and Food Engineering, Yibin University, 644000 Yibin, Sichuan, China.
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Źródło:
Frontiers in bioscience (Landmark edition) [Front Biosci (Landmark Ed)] 2024 Jan 17; Vol. 29 (1), pp. 20.
Typ publikacji:
Journal Article; Review; Research Support, Non-U.S. Gov't
MeSH Terms:
Artificial Intelligence*
Deep Learning*
Plants ; Stress, Physiological ; Machine Learning
Czasopismo naukowe
Tytuł:
Parkinson's Disease Diagnosis Using miRNA Biomarkers and Deep Learning.
Autorzy:
Kumar A; REHS Program, San Diego Supercomputer Center, UC San Diego, La Jolla, CA 92093, USA.
Kouznetsova VL; San Diego Supercomputer Center, UC San Diego, La Jolla, CA 92093, USA.; BiAna, La Jolla, CA 92038, USA.; CureScience Institute, San Diego, CA 92121, USA.
Kesari S; Pacific Neuroscience Institute, Santa Monica, CA 90404, USA.
Tsigelny IF; San Diego Supercomputer Center, UC San Diego, La Jolla, CA 92093, USA.; BiAna, La Jolla, CA 92038, USA.; CureScience Institute, San Diego, CA 92121, USA.; Department of Neurosciences, UC San Diego, La Jolla, CA 92093, USA.
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Źródło:
Frontiers in bioscience (Landmark edition) [Front Biosci (Landmark Ed)] 2024 Jan 12; Vol. 29 (1), pp. 4.
Typ publikacji:
Journal Article
MeSH Terms:
Parkinson Disease*/diagnosis
Parkinson Disease*/genetics
Parkinson Disease*/metabolism
MicroRNAs*/genetics
MicroRNAs*/metabolism
Deep Learning*
Humans ; Machine Learning ; Biomarkers
Czasopismo naukowe
Tytuł:
Impaired implicit learning in adults with anorexia nervosa.
Autorzy:
Wiener M; Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Bengesser SA; Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Wagner-Skacel J; Department of Medical Psychology, Psychosomatics and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Haidacher FNA; Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Lahousen-Luxenberger T; Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Wenninger J; Department of Medical and Chemical Laboratory Diagnostics, LKH Hochsteiermark, Leoben, Austria.
Hasiba-Seebacher K; Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Fellendorf FT; Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Painold A; Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Kreuzer K; Department of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Butler M; Department of Psychiatry and Clinical Neuroscience, University College Cork, Cork, Ireland.
Lackner S; Division of Immunology, Otto Loewi Research Center, Medical University of Graz, Graz, Austria.
Pilz R; Department of Medical Psychology, Psychosomatics and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Mörkl S; Department of Medical Psychology, Psychosomatics and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
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Źródło:
The International journal of eating disorders [Int J Eat Disord] 2024 Jan; Vol. 57 (1), pp. 195-200. Date of Electronic Publication: 2023 Oct 23.
Typ publikacji:
Journal Article
MeSH Terms:
Probability Learning*
Anorexia Nervosa*/complications
Anorexia Nervosa*/therapy
Adult ; Humans ; Pilot Projects ; Learning/physiology
Czasopismo naukowe
Tytuł:
Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features.
Autorzy:
Chen C; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Lu C; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.
Viswanathan V; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Maveal B; Department of Pathology, University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, OH, USA.
Maheshwari B; Department of Pathology, University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, OH, USA.
Willis J; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.; Department of Pathology, University Hospitals Cleveland Medical Center and Case Western Reserve University, Cleveland, OH, USA.
Madabhushi A; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.; Radiology and Imaging Sciences, Biomedical Informatics (BMI) and Pathology, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.; Atlanta Veterans Administration Medical Center, Atlanta, GA, USA.
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Źródło:
The journal of pathology. Clinical research [J Pathol Clin Res] 2024 Jan; Vol. 10 (1), pp. e344. Date of Electronic Publication: 2023 Oct 11.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Liver Neoplasms*
Humans ; Pilot Projects ; Algorithms ; Machine Learning
Czasopismo naukowe
Tytuł:
Evaluation metrics and statistical tests for machine learning.
Autorzy:
Rainio O; Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland. .
Teuho J; Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
Klén R; Turku PET Centre, University of Turku and Turku University Hospital, Turku, Finland.
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Źródło:
Scientific reports [Sci Rep] 2024 Mar 13; Vol. 14 (1), pp. 6086. Date of Electronic Publication: 2024 Mar 13.
Typ publikacji:
Journal Article
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Machine Learning*
Neural Networks, Computer ; Supervised Machine Learning ; Positron-Emission Tomography
Czasopismo naukowe
Tytuł:
Auditory risk recognition is socially transmitted across territory borders in wild birds.
Autorzy:
Szymkowiak J; Faculty of Biology, Forest Biology Center, Adam Mickiewicz University, Uniwersytetu Poznańskiego 6, 61-614, Poznan, Poland. .; Population Ecology Research Unit, Faculty of Biology, Institute of Environmental Biology, Adam Mickiewicz University, Uniwersytetu Poznańskiego 6, 61-614, Poznan, Poland. .
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Źródło:
Animal cognition [Anim Cogn] 2024 Mar 02; Vol. 27 (1), pp. 19. Date of Electronic Publication: 2024 Mar 02.
Typ publikacji:
Journal Article
MeSH Terms:
Social Learning*
Passeriformes*/physiology
Humans ; Animals ; Ecosystem ; Vocalization, Animal/physiology ; Learning ; Predatory Behavior
Czasopismo naukowe
Tytuł:
Which model is more efficient in carbon emission prediction research? A comparative study of deep learning models, machine learning models, and econometric models.
Autorzy:
Yao X; Information Department of Hohai University, Changzhou, 213002, China.
Zhang H; Huazhong University of Science and Technology, Wuhan, 430074, China.
Wang X; Business School of Hohai University, Changzhou, 213002, China.
Jiang Y; Business School of Hohai University, Changzhou, 213002, China.
Zhang Y; Information Department of Hohai University, Changzhou, 213002, China.
Na X; Business School of Hohai University, Changzhou, 213002, China. .
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Źródło:
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Mar; Vol. 31 (13), pp. 19500-19515. Date of Electronic Publication: 2024 Feb 15.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Models, Econometric ; Carbon ; Machine Learning ; Neural Networks, Computer ; Forecasting ; China
Czasopismo naukowe
Tytuł:
Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer's Disease detection.
Autorzy:
Bloch L; Department of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), Emil-Figge-Straße 42, Dortmund, 44227, North Rhine-Westphalia, Germany; Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Hufelandstraße 55, Essen, 45122, North Rhine-Westphalia, Germany; Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Hufelandstraße 55, Essen, 45122, North Rhine-Westphalia, Germany. Electronic address: .
Friedrich CM; Department of Computer Science, University of Applied Sciences and Arts Dortmund (FH Dortmund), Emil-Figge-Straße 42, Dortmund, 44227, North Rhine-Westphalia, Germany; Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Hufelandstraße 55, Essen, 45122, North Rhine-Westphalia, Germany. Electronic address: .
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Corporate Authors:
Alzheimer’s Disease Neuroimaging Initiative
Źródło:
Computers in biology and medicine [Comput Biol Med] 2024 Mar; Vol. 170, pp. 108029. Date of Electronic Publication: 2024 Jan 30.
Typ publikacji:
Journal Article
MeSH Terms:
Deep Learning*
Alzheimer Disease*/diagnostic imaging
Humans ; Magnetic Resonance Imaging/methods ; Australia ; Machine Learning
Czasopismo naukowe
Tytuł:
The role of systematicity in early referent selection.
Autorzy:
Sia MY; Department for Psychology of Language, University of Göttingen, Göttingen, Germany.; Leibniz Science Campus Primate Cognition, Göttingen, Germany.
Mather E; School of Psychology and Social Work, University of Hull, Hull, UK.
Crocker MW; Department of Language Science & Technology, Saarland University, Saarbrücken, Germany.
Mani N; Department for Psychology of Language, University of Göttingen, Göttingen, Germany.; Leibniz Science Campus Primate Cognition, Göttingen, Germany.
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Źródło:
Developmental science [Dev Sci] 2024 Mar; Vol. 27 (2), pp. e13444. Date of Electronic Publication: 2023 Sep 04.
Typ publikacji:
Journal Article
MeSH Terms:
Learning*
Vocabulary*
Child ; Humans ; Animals ; Rats ; Child, Preschool ; Semantics ; Verbal Learning ; Linguistics
Czasopismo naukowe
Tytuł:
Do children imitate even when it is costly? New insights from a novel task.
Autorzy:
Zhao M; Early Cognitive Development Centre, School of Psychology, University of Queensland, Brisbane, Queensland, Australia.
Fong FTK; Early Cognitive Development Centre, School of Psychology, University of Queensland, Brisbane, Queensland, Australia.; Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
Whiten A; School of Psychology and Neuroscience, University of St Andrews, St Andrews, UK.
Nielsen M; Early Cognitive Development Centre, School of Psychology, University of Queensland, Brisbane, Queensland, Australia.; Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa.
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Źródło:
The British journal of developmental psychology [Br J Dev Psychol] 2024 Mar; Vol. 42 (1), pp. 18-35. Date of Electronic Publication: 2023 Oct 06.
Typ publikacji:
Journal Article
MeSH Terms:
Imitative Behavior*
Social Learning*
Child ; Humans ; Learning ; Motivation
Czasopismo naukowe

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