Search Results - computer learning AND pattern recognition::(automated OR automatizace) problems solving

KGE-UNIT: toward the unification of molecular interactions prediction based on knowledge graph and multi-task learning on drug discovery

Authors: Zhang, Chengcheng Zang, Tianyi Zhao, Tianyi

Source: Brief Bioinform

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, Area Under Curve, Drug Discovery, Problem Solving Protocol, Learning, Drug Interactions, Neural Networks, Computer, Pattern Recognition, Automated

Access URL: https://pubmed.ncbi.nlm.nih.gov/38348746

A microbial knowledge graph-based deep learning model for predicting candidate microbes for target hosts

Authors: Jie Pan Zhen Zhang Ying Li et al.

Source: Brief Bioinform

Subject Terms: 0301 basic medicine, 03 medical and health sciences, Deep Learning, Bacteria, 0206 medical engineering, Problem Solving Protocol, Humans, Neural Networks, Computer, 02 engineering and technology, Algorithms, Pattern Recognition, Automated

Access URL: https://pubmed.ncbi.nlm.nih.gov/38555472

Automated Machine Learning : Methods, Systems, Challenges

Authors: Frank Hutter Lars Kotthoff Joaquin Vanschoren

Resource Type: eBook.

Subjects: Machine learning

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition

Distributed medical image analysis and diagnosis through crowd-sourced games: a malaria case study.

Authors: Mavandadi, Sam Dimitrov, Stoyan Feng, Steve et al.

Source: PloS one. 7(5)

Subject Terms: Blood Cells, Humans, Malaria, Diagnosis, Computer-Assisted, Image Interpretation, Computer-Assisted, Problem Solving, Pattern Recognition, Visual, Algorithms, Games, Experimental, Video Games, Artificial Intelligence, Pattern Recognition, Automated, Infectious Diseases, Vector-Borne Diseases, Rare Diseases, Clinical Research, Infection, Good Health and Well Being, General Science & Technology

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/9df5m6kh
https://escholarship.org/content/qt9df5m6kh/qt9df5m6kh.pdf

Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering

Authors: Švábenský, Valdemar Vykopal, Jan Celeda, Pavel et al.

Source: Education and Information Technologies. Aug 2022 27(7):9231-9262.

Peer Reviewed: Y

Page Count: 32

Descriptors: Computer Security, Information Security, Training, Data Collection, Artificial Intelligence, Educational Technology, Data Analysis, Student Behavior, Student Evaluation, Information Retrieval, Pattern Recognition

Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning

Authors: Pascal Kerschke Heike Trautmann

Source: Evolutionary Computation. 27:99-127

Subject Terms: FOS: Computer and information sciences, Computer Science - Artificial Intelligence, 4. Education, Information Storage and Retrieval, Machine Learning (stat.ML), 02 engineering and technology, Decision Support Techniques, Pattern Recognition, Automated, Machine Learning, Benchmarking, Artificial Intelligence (cs.AI), Statistics - Machine Learning, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Humans, Computer Simulation, Data Structures and Algorithms (cs.DS), Algorithms

Access URL: http://arxiv.org/pdf/1711.08921
https://pubmed.ncbi.nlm.nih.gov/30365386
http://arxiv.org/abs/1711.08921
https://arxiv.org/abs/1711.08921
https://arxiv.org/pdf/1711.08921.pdf
http://export.arxiv.org/pdf/1711.08921
https://europepmc.org/article/MED/30365386
https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=201902228222098872
https://dblp.uni-trier.de/db/journals/corr/corr1711.html#abs-1711-08921
https://direct.mit.edu/evco/article/27/1/99/1079/Automated-Algorithm-Selection-on-Continuous-Black
https://ieeexplore.ieee.org/document/8660768/
https://www.mitpressjournals.org/doi/full/10.1162/evco_a_00236

Particle Swarm Optimization with Double Learning Patterns

Authors: Jian Chen Linna Wei Chuanhua Zeng et al.

Source: Comput Intell Neurosci

Subject Terms: Benchmarking, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Humans, Learning, Computer Simulation, 02 engineering and technology, Biological Evolution, Problem Solving, Research Article, Pattern Recognition, Automated, Probability

Access URL: http://downloads.hindawi.com/journals/cin/2016/6510303.pdf
https://pubmed.ncbi.nlm.nih.gov/26858747

Proceedings of the Seventh International Conference on Educational Data Mining (EDM) (7th, London, United Kingdom, July 4-7, 2014)

Authors: International Educational Data Mining Society Stamper, John Pardos, Zachary et al.

Source: International Educational Data Mining Society. 2014.

Peer Reviewed: N

Page Count: 485

Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection, Educational Research, Online Courses, Prior Learning, Teaching Methods, Causal Models, Behavior, Algebra, Video Games, Scores, Grade 6, Mathematics Achievement, Standards, Evaluation Methods, Prediction, Gender Differences, Foreign Countries, Knowledge Level, Electronic Learning, Problem Solving, Item Response Theory, Programming, Individual Differences, Generalization, Models, Educational Games, Video Technology, Group Discussion, Computer Mediated Communication, Large Group Instruction, Verbal Ability, Eye Movements, Affective Behavior, Sequential Approach, Maps, Visualization, Simulation, Intelligent Tutoring Systems, Natural Language Processing, Textbooks, Risk, Learner Engagement, Mathematics, Computer Assisted Testing, Student Evaluation, Learning Theories, Classroom Communication, Scientific Concepts, Error Patterns, Learning Processes, Logical Thinking, Questioning Techniques, STEM Education, Majors (Students), Nonmajors, College Attendance, Middle Schools, Computer Software, Mathematics Education, Matrices, Individualized Instruction, Case Studies, Science Instruction, Freehand Drawing, Topology, Computer Security, Feedback (Response), Mathematics Instruction, Grammar, Writing Evaluation, Writing Instruction, Writing Skills, Interaction, Nonverbal Communication, Lecture Method, Grading, Self Evaluation (Individuals), Student Behavior, Academic Persistence, Dropouts, Reading Comprehension, Statistical Analysis, Blended Learning, Comparative Analysis, Cost Effectiveness, Undergraduate Study, Course Evaluation, Cognitive Processes, Planning, Correlation, Learning Experience, Diagnostic Tests, Computer Peripherals, Asynchronous Communication, Standardized Tests, Coding, Student Characteristics, Classification, Educational Environment, Tests, Developmental Studies Programs, Remedial Mathematics, Hypothesis Testing, Essays, Visual Aids, Research Methodology, Educational Objectives, Cooperative Learning, Student Reaction, Group Dynamics, Peer Evaluation, Peer Influence, Student Attrition, Academic Achievement, Factor Analysis, Electronic Publishing, Measurement Techniques, Homework, Learning Modalities, Experiential Learning, Self Esteem, Emotional Response, Student Motivation, Incentives, Graphs, Integrated Learning Systems

Geographic Terms: Finland, France

Assessment and Survey Identifiers: Program for International Student Assessment

Information Theoretic Deductions Using Machine Learning with an Application in Sociology

Authors: Ramaswamy, Arunselvan Ma, Yunpeng Alfredsson, Stefan et al.

Source: Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods ICPRAM. :320-328

Subject Terms: Conditional Entropy, Binary Classification, Information Theory, Supervised Machine Learning, Automated Data Mining, Machine Learning in Sociology, Computer Science, Datavetenskap

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-99723
https://doi.org/10.5220/0012371600003654

Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety

Authors: Tim Fingscheidt Hanno Gottschalk Sebastian Houben

Resource Type: eBook.

Subjects: Vehicular ad hoc networks (Computer networks), Automated vehicles, Neural networks (Computer science)

Categories: TECHNOLOGY & ENGINEERING / Automotive, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / General, MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Engineering (General)

A union of deep learning and swarm-based optimization for 3D human action recognition.

Authors: Basak H Kundu R Singh PK et al.

Source: Scientific reports [Sci Rep] 2022 Mar 31; Vol. 12 (1), pp. 5494. Date of Electronic Publication: 2022 Mar 31.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

MeSH Terms: Deep Learning* , Pattern Recognition, Automated*/methods, Algorithms ; Human Activities ; Humans ; Neural Networks, Computer

An online incremental learning pattern-based reasoning system

Authors: Furao Shen Akihito Sudo Osamu Hasegawa

Source: Neural Networks. 23:135-143

Subject Terms: Association, Memory, 0202 electrical engineering, electronic engineering, information engineering, Humans, Information Storage and Retrieval, Computer Simulation, Neural Networks, Computer, Problem-Based Learning, 02 engineering and technology, Online Systems, Algorithms, Problem Solving, Pattern Recognition, Automated

Access URL: https://pubmed.ncbi.nlm.nih.gov/19556104
http://europepmc.org/abstract/MED/19556104
http://www.sciencedirect.com/science/article/pii/S0893608009001051
https://www.sciencedirect.com/science/article/pii/S0893608009001051
https://cs.nju.edu.cn/_upload/tpl/00/d7/215/template215/download/2010_1.pdf
https://www.ncbi.nlm.nih.gov/pubmed/19556104
https://dblp.uni-trier.de/db/journals/nn/nn23.html#FuraoSH10

Five points to check when comparing visual perception in humans and machines.

Authors: Funke CM Borowski J Stosio K et al.

Source: Journal of vision [J Vis] 2021 Mar 01; Vol. 21 (3), pp. 16.

Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: Association for Research in Vision and Ophthalmology (ARVO) Country of Publication: United States NLM ID: 101147197 Publication Model: Print Cited Medium: Internet ISSN: 1534-7362 (Electronic) Linking ISSN: 15347362 NLM ISO Abbreviation: J Vis Subsets: MEDLINE

MeSH Terms: Image Processing, Computer-Assisted/*methods , Pattern Recognition, Automated/*methods , Pattern Recognition, Visual/*physiology , Visual Perception/*physiology, Artificial Intelligence ; Humans ; Learning/physiology ; Problem Solving ; Recognition, Psychology

Recognition of domestic Felis Catus vocalisations using a computational associative model.

Authors: Samantha Morales-Rodríguez, Úrsula Juan Carbajal-Hernández, José Luna-Benoso, Benjamín et al.

Source: Journal of Animal Behavior & Biometeorology. Jul2024, Vol. 12 Issue 3, p1-19. 19p.

Subjects: Cats, Signals & signaling, Noise (Work environment), Spectral energy distribution, Pets, Pattern perception

Application of Artificial Intelligence Technologies in Livestock Management.

Alternate Title: Hayvancılıkta Yapay Zekâ Teknolojilerinin Uygulanması.

Authors: DİLAVER, Hatice DİLAVER, Kamil Fatih

Source: Journal of Animal Science & Economics. Jul2025, Vol. 4 Issue 2, p64-74. 11p.

Subjects: Natural language processing, Artificial neural networks, Supervised learning, Artificial intelligence, Agriculture

Design of fuzzy cognitive maps using neural networks for predicting chaotic time series.

Authors: Song HJ Miao CY Shen ZQ et al.

Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2010 Dec; Vol. 23 (10), pp. 1264-75. Date of Electronic Publication: 2010 Aug 11.

Publication Type: Journal Article

Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE

MeSH Terms: Fuzzy Logic* , Neural Networks, Computer* , Pattern Recognition, Automated* , Problem Solving*, Algorithms ; Artificial Intelligence ; Computer Simulation ; Learning

Solving chemical problems with pattern recognition

Authors: Kowalski, B. R. Bender, C. F.

Source: Die Naturwissenschaften. 62:10-14

Subject Terms: Chemistry, Magnetic Resonance Spectroscopy, Chemical Phenomena, Computers, Water Supply, Humans, Learning, 500.sciences, 01 natural sciences, Article, Pattern Recognition, Automated, 0104 chemical sciences

File Description: image/jpeg; application/pdf

Access URL: https://pubmed.ncbi.nlm.nih.gov/1134588
https://ui.adsabs.harvard.edu/abs/1975NW.....62...10K/abstract
https://www.ncbi.nlm.nih.gov/pubmed/1134588
https://link.springer.com/article/10.1007/BF00594036
https://pubmed.ncbi.nlm.nih.gov/1134588/

HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning

Authors: Longtao Huang Ting Ma Shangwen Lv et al.

Source: Neural Networks. 143:261-270

Subject Terms: 0301 basic medicine, 03 medical and health sciences, Knowledge, 0202 electrical engineering, electronic engineering, information engineering, Neural Networks, Computer, 02 engineering and technology, Problem Solving, Pattern Recognition, Automated, Semantics

Access URL: https://pubmed.ncbi.nlm.nih.gov/34157650
https://www.sciencedirect.com/science/article/pii/S0893608021002409
https://dblp.uni-trier.de/db/journals/nn/nn143.html#MaLHH21
https://doi.org/10.1016/j.neunet.2021.06.008

A fast saddle-point dynamical system approach to robust deep learning

Authors: Yasaman Esfandiari Aditya Balu Keivan Ebrahimi et al.

Source: Neural Networks. 139:33-44

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Deep Learning, Databases, Factual, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), Neural Networks, Computer, 02 engineering and technology, Algorithms, Pattern Recognition, Automated, Machine Learning (cs.LG)

Access URL: http://arxiv.org/pdf/1910.08623
https://pubmed.ncbi.nlm.nih.gov/33677377
http://arxiv.org/abs/1910.08623
https://europepmc.org/article/MED/33677377
https://dblp.uni-trier.de/db/journals/nn/nn139.html#EsfandiariBEVES21
https://doi.org/10.1016/j.neunet.2021.02.021
https://experts.umn.edu/en/publications/a-fast-saddle-point-dynamical-system-approach-to-robust-deep-lear
http://www.ncbi.nlm.nih.gov/pubmed/33677377
https://www.sciencedirect.com/science/article/pii/S089360802100071X

A conditional Triplet loss for few-shot learning and its application to image co-segmentation

Authors: Maysam Orouskhani Daming Shi Yasin Orouskhani

Source: Neural Networks. 137:54-62

Subject Terms: 03 medical and health sciences, Deep Learning, 0302 clinical medicine, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Pattern Recognition, Automated

Access URL: http://manuscript.elsevier.com/S0893608021000022/pdf/S0893608021000022.pdf
https://pubmed.ncbi.nlm.nih.gov/33545611
http://doi.org/10.1016/j.neunet.2021.01.002
https://www.ncbi.nlm.nih.gov/pubmed/33545611
https://doi.org/10.1016/j.neunet.2021.01.002
https://www.sciencedirect.com/science/article/abs/pii/S0893608021000022
https://dblp.uni-trier.de/db/journals/nn/nn137.html#ShiOO21
https://pubmed.ncbi.nlm.nih.gov/33545611/