Suchergebnisse - computer learning AND pattern recognition::(automated OR automatic) problems solving

Say What? Automatic Modeling of Collaborative Problem Solving Skills from Student Speech in the Wild

Autoren: Pugh, Samuel L. Subburaj, Shree Krishna Rao, Arjun Ramesh et al.

Quelle: International Educational Data Mining Society. 2021.

Peer Reviewed: Y

Page Count: 13

Sponsoring Agency: Institute of Education Sciences (ED)
National Science Foundation (NSF)

Descriptors: Problem Solving, Cooperation, Middle School Students, High School Students, Automation, Pattern Recognition, Speech, Natural Language Processing, Videoconferencing, Mathematics, Physics, Artificial Intelligence, Computer Uses in Education, Accuracy, Classification

IES Funded: Yes

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

Autoren: Zhang, Chengcheng Zang, Tianyi Zhao, Tianyi

Quelle: Brief Bioinform

Schlagwörter: 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

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38348746

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

Autoren: Jie Pan Zhen Zhang Ying Li et al.

Quelle: Brief Bioinform

Schlagwörter: 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

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38555472

Automated Machine Learning : Methods, Systems, Challenges

Autoren: Frank Hutter Lars Kotthoff Joaquin Vanschoren

Resource Type: eBook.

Schlagworte: Machine learning

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

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

Autoren: Pascal Kerschke Heike Trautmann

Quelle: Evolutionary Computation. 27:99-127

Schlagwörter: 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

Zugangs-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

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

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

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

Schlagworte: 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.

Autoren: DİLAVER, Hatice DİLAVER, Kamil Fatih

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

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

Particle Swarm Optimization with Double Learning Patterns

Autoren: Jian Chen Linna Wei Chuanhua Zeng et al.

Quelle: Comput Intell Neurosci

Schlagwörter: 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

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

Joint analysis of radiological reports and CT images for automatic validation of pathological brain conditions

Autoren: Y.D. Agafonova A.V. Gaidel P.M. Zelter et al.

Quelle: Компьютерная оптика, Vol 47, Iss 1, Pp 152-159 (2023)

Schlagwörter: deep learning, computed tomography, computer-aided diagnosis, pattern recognition, natural language processing, Information theory, Q350-390, Optics. Light, QC350-467

Dateibeschreibung: electronic resource

Relation: https://computeroptics.ru/eng/KO/Annot/KO47-1/470117e.html; https://doaj.org/toc/0134-2452; https://doaj.org/toc/2412-6179

Zugangs-URL: https://doaj.org/article/34dc402caabf4a0d9657ffea49c3afcd

Fully Automatic Brain Tumor Segmentation using End-To-End Incremental Deep Neural Networks in MRI images

Autoren: Mostefa Ben Naceur Rostom Kachouri Rachida Saouli et al.

Weitere Verfasser: Mostefa Ben Naceur Rostom Kachouri Rachida Saouli et al.

Quelle: Computer Methods and Programs in Biomedicine. 166:39-49

Schlagwörter: Fully automatic, [INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing, [INFO.INFO-NE] Computer Science [cs]/Neural and Evolutionary Computing [cs.NE], [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, 02 engineering and technology, Pattern Recognition, Automated, Machine Learning, 03 medical and health sciences, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 0302 clinical medicine, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Training, Humans, Diagnosis, Computer-Assisted, Brain tumor segmentation, Brain Neoplasms, Hyper-parameters, Brain, Deep learning, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Magnetic Resonance Imaging, 3. Good health, Convolutional neural networks, Neural Networks, Computer, Glioblastoma, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal-upec-upem.archives-ouvertes.fr/hal-01893017/file/Brain_Tumor_Segmentation.pdf
https://pubmed.ncbi.nlm.nih.gov/30415717
https://hal-upec-upem.archives-ouvertes.fr/hal-01893017/document
https://europepmc.org/article/MED/30415717
https://pubmed.ncbi.nlm.nih.gov/30415717/
http://www.sciencedirect.com/science/article/pii/S0169260718309015
https://doi.org/10.1016/j.cmpb.2018.09.007
https://www.ncbi.nlm.nih.gov/pubmed/30415717

Machine Learning Techniques Associated With Infrared Thermography to Optimize the Diagnosis of Bovine Subclinical Mastitis.

Autoren: Santana, Raul Costa Mascarenhas Guimarães, Edilson da Silva Caracuschanski, Fernando David et al.

Quelle: Veterinary Medicine International. 2/8/2025, Vol. 2025, p1-14. 14p.

Schlagworte: Receiver operating characteristic curves, Milkfat, Bovine mastitis, Mammary glands, Milk yield

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

Autoren: Tim Fingscheidt Hanno Gottschalk Sebastian Houben

Resource Type: eBook.

Schlagworte: 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.

Autoren: Basak H Kundu R Singh PK et al.

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

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

Info zur Zeitschrift: 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-Schlagworte: Deep Learning* , Pattern Recognition, Automated*/methods, Algorithms ; Human Activities ; Humans ; Neural Networks, Computer

Multi-instance multi-label learning for surgical image annotation.

Autoren: Loukas C Sgouros NP

Quelle: The international journal of medical robotics + computer assisted surgery : MRCAS [Int J Med Robot] 2020 Apr; Vol. 16 (2), pp. e2058. Date of Electronic Publication: 2019 Dec 08.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Wiley Country of Publication: England NLM ID: 101250764 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1478-596X (Electronic) Linking ISSN: 14785951 NLM ISO Abbreviation: Int J Med Robot Subsets: MEDLINE

MeSH-Schlagworte: Cholecystectomy* , Laparoscopy* , Pattern Recognition, Automated*, Image Processing, Computer-Assisted/*methods, Algorithms ; Artificial Intelligence ; Bayes Theorem ; Cluster Analysis ; Humans ; Image Interpretation, Computer-Assisted/methods ; Normal Distribution ; Reproducibility of Results ; Video Recording

Intelligent Human–Computer Interaction: Combined Wrist and Forearm Myoelectric Signals for Handwriting Recognition.

Autoren: Tigrini, Andrea Ranaldi, Simone Verdini, Federica et al.

Quelle: Bioengineering (Basel). May2024, Vol. 11 Issue 5, p458. 13p.

Schlagwörter: *WRIST, *PATTERN recognition systems, *FISHER discriminant analysis, *HUMAN-computer interaction, *HANDWRITING, *FOREARM, *MYOELECTRIC prosthesis, *MACHINE learning

An online incremental learning pattern-based reasoning system

Autoren: Furao Shen Akihito Sudo Osamu Hasegawa

Quelle: Neural Networks. 23:135-143

Schlagwörter: 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

Zugangs-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

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

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

Quelle: 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

Geografische Kategorien: Finland, France

Assessment and Survey Identifiers: Program for International Student Assessment

2D Prediction of the Nutritional Composition of Dishes from Food Images: Deep Learning Algorithm Selection and Data Curation Beyond the Nutrition5k Project.

Autoren: Bianco, Rachele Coluccia, Sergio Marinoni, Michela et al.

Quelle: Nutrients. Jul2025, Vol. 18 Issue 13, p2196. 23p.

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Autoren: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Quelle: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Schlagworte: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

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

Autoren: Funke CM Borowski J Stosio K et al.

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

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

Info zur Zeitschrift: 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-Schlagworte: 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