Výsledky vyhledávání - computer learning AND pattern recognition::(automated OR automatizace) problem solving*

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

Autoři: Zhang, Chengcheng Zang, Tianyi Zhao, Tianyi

Zdroj: Brief Bioinform

Témata: 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

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38348746

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

Autoři: Jie Pan Zhen Zhang Ying Li a další

Zdroj: Brief Bioinform

Témata: 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

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38555472

Automated Machine Learning : Methods, Systems, Challenges

Autoři: Frank Hutter Lars Kotthoff Joaquin Vanschoren

Resource Type: eBook.

Témata: 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.

Autoři: Mavandadi, Sam Dimitrov, Stoyan Feng, Steve a další

Zdroj: PloS one. 7(5)

Témata: 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

Popis souboru: application/pdf

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

Student Assessment in Cybersecurity Training Automated by Pattern Mining and Clustering

Autoři: Švábenský, Valdemar Vykopal, Jan Celeda, Pavel a další

Zdroj: 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

Autoři: Pascal Kerschke Heike Trautmann

Zdroj: Evolutionary Computation. 27:99-127

Témata: 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

Přístupová URL adresa: 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

Autoři: Jian Chen Linna Wei Chuanhua Zeng a další

Zdroj: Comput Intell Neurosci

Témata: 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

Přístupová URL adresa: 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)

Autoři: International Educational Data Mining Society Stamper, John Pardos, Zachary a další

Zdroj: 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

Geografický termín: Finland, France

Assessment and Survey Identifiers: Program for International Student Assessment

Information Theoretic Deductions Using Machine Learning with an Application in Sociology

Autoři: Ramaswamy, Arunselvan Ma, Yunpeng Alfredsson, Stefan a další

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

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

Popis souboru: print

Přístupová URL adresa: 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

Autoři: Tim Fingscheidt Hanno Gottschalk Sebastian Houben

Resource Type: eBook.

Témata: 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.

Autoři: Basak H Kundu R Singh PK a další

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

Způsob vydávání: Journal Article; Research Support, Non-U.S. Gov't

Informace o časopise: 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

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

An online incremental learning pattern-based reasoning system

Autoři: Furao Shen Akihito Sudo Osamu Hasegawa

Zdroj: Neural Networks. 23:135-143

Témata: 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

Přístupová URL adresa: 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

Zero-Touch Support: Automating SAP Incident Detection, Classification, and Resolution with GenAI & AIOps.

Autoři: parhad, Vinod balasaheb

Zdroj: Journal of Computer Science & Technology Studies; 2025, Vol. 7 Issue 10, p1-12, 12p

Témata: GENERATIVE artificial intelligence, AUTOMATION, BUSINESS process management, COMPUTER performance, INFORMATION technology management

Korporace: SAP SE

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

Autoři: Funke CM Borowski J Stosio K a další

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

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

Informace o časopise: 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

Výrazy ze slovníku MeSH: 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.

Autoři: Samantha Morales-Rodríguez, Úrsula Juan Carbajal-Hernández, José Luna-Benoso, Benjamín a další

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

Témata: 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.

Autoři: DİLAVER, Hatice DİLAVER, Kamil Fatih

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

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

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

Autoři: Song HJ Miao CY Shen ZQ a další

Zdroj: 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.

Způsob vydávání: Journal Article

Informace o časopise: 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

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

Solving chemical problems with pattern recognition

Autoři: Kowalski, B. R. Bender, C. F.

Zdroj: Die Naturwissenschaften. 62:10-14

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

Popis souboru: image/jpeg; application/pdf

Přístupová URL adresa: 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

Autoři: Longtao Huang Ting Ma Shangwen Lv a další

Zdroj: Neural Networks. 143:261-270

Témata: 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

Přístupová URL adresa: 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

Autoři: Yasaman Esfandiari Aditya Balu Keivan Ebrahimi a další

Zdroj: Neural Networks. 139:33-44

Témata: 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)

Přístupová URL adresa: 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