Suchergebnisse - computer learning and pattern recognition::(automated OR automatic) (problemy OR 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

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

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

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

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

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

Quelle: PloS one. 7(5)

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

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

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

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)

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

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

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

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

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

The Use of Artificial Intelligence (AI) to Support Dietetic Practice Across Primary Care: A Scoping Review of the Literature.

Autoren: Ngo, Kaitlyn Mekhail, Simone Chan, Virginia et al.

Quelle: Nutrients. Nov2025, Vol. 17 Issue 22, p3515. 45p.

Behaviour recognition of housed sheep based on spatio-temporal information.

Autoren: Zhang, Lina Zhao, Bin He, Chunming et al.

Quelle: Journal of Applied Animal Research. Dec2024, Vol. 52 Issue 1, p1-13. 13p.

Schlagworte: Health of sheep, Behavioral assessment, Health behavior, Agriculture, Livestock

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

Human-computer interactions with farm animals—enhancing welfare through precision livestock farming and artificial intelligence.

Autoren: Neethirajan, Suresh Scott, Stacey Mancini, Clara et al.

Quelle: Frontiers in Veterinary Science. 2024, p1-14. 14p.