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Wyszukujesz frazę ""Machine learning"" wg kryterium: Temat


Starter badań:

Tytuł:
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis.
Autorzy:
Al-Hussain G; Department of Unified Health Record, Lean for Business Services, Riyadh, Saudi Arabia.
Shuweihdi F; Leeds Institute of Health Sciences, School of Medicine, University of Leads, Leeds, United Kingdom.
Alali H; Health Management Department, Faculty of Medical and Health Sciences, Liwa College of Technology, Abu Dhabi, United Arab Emirates.
Househ M; Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar.
Abd-Alrazaq A; AI Center for Precision Health, Weill Cornell Medicine, Doha, Qatar.
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Źródło:
Journal of medical Internet research [J Med Internet Res] 2022 Oct 14; Vol. 24 (10), pp. e38472. Date of Electronic Publication: 2022 Oct 14.
Typ publikacji:
Journal Article; Meta-Analysis; Review; Systematic Review
MeSH Terms:
Supervised Machine Learning*
Voice Disorders*/diagnosis
Algorithms ; Humans ; Machine Learning
Czasopismo naukowe
Tytuł:
Objective Supervised Machine Learning-Based Classification and Inference of Biological Neuronal Networks.
Autorzy:
Barros MT; Computational Biophysics and Imaging Group/BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.; School of Computer Science and Electronic Engineering, University of Essex, Colchester CO4 3SQ, UK.
Siljak H; School of Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Mullen P; School of Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
Papadias C; American College of Greece, 153 42 Agia Paraskevi, Greece.
Hyttinen J; Computational Biophysics and Imaging Group/BioMediTech, Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland.
Marchetti N; School of Engineering, Trinity College Dublin, D02 PN40 Dublin, Ireland.
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Źródło:
Molecules (Basel, Switzerland) [Molecules] 2022 Sep 23; Vol. 27 (19). Date of Electronic Publication: 2022 Sep 23.
Typ publikacji:
Journal Article
MeSH Terms:
Neural Networks, Computer*
Supervised Machine Learning*
Humans ; Machine Learning ; Neurons ; Support Vector Machine
Czasopismo naukowe
Tytuł:
Unsupervised and semi-supervised learning: the next frontier in machine learning for plant systems biology.
Autorzy:
Yan J; Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100094, China.; National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100094, China.
Wang X; Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, 100094, China.; National Maize Improvement Center, College of Agronomy and Biotechnology, China Agricultural University, Beijing, 100094, China.
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Źródło:
The Plant journal : for cell and molecular biology [Plant J] 2022 Sep; Vol. 111 (6), pp. 1527-1538. Date of Electronic Publication: 2022 Jul 27.
Typ publikacji:
Journal Article; Review; Research Support, Non-U.S. Gov't
MeSH Terms:
Supervised Machine Learning*
Systems Biology*
Algorithms ; Machine Learning ; Plants/genetics
Czasopismo naukowe
Tytuł:
The role of individual variability on the predictive performance of machine learning applied to large bio-logging datasets.
Autorzy:
Chimienti M; Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS - La Rochelle Université, 405 Route de Prissé La Charrière, 79360, Villiers-en-Bois, France. .
Kato A; Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS - La Rochelle Université, 405 Route de Prissé La Charrière, 79360, Villiers-en-Bois, France.
Hicks O; Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS - La Rochelle Université, 405 Route de Prissé La Charrière, 79360, Villiers-en-Bois, France.; British Antarctic Survey, High Cross, Madingley Road, Cambridge, CB3 0ET, UK.
Angelier F; Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS - La Rochelle Université, 405 Route de Prissé La Charrière, 79360, Villiers-en-Bois, France.
Beaulieu M; German Oceanographic Museum, Stralsund, Germany.
Ouled-Cheikh J; Institut de Recerca de la Biodiversitat (IRBio) and Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals (BEECA), Facultat de Biologia, Universitat de Barcelona., Av. Diagonal 643, 08028, Barcelona, Spain.; Institut de Ciències del Mar (ICM-CSIC), Departament de Recursos Marins Renovables, Passeig Marítim de la Barceloneta, 37-49, 08003, Barcelona, Spain.
Marciau C; Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS - La Rochelle Université, 405 Route de Prissé La Charrière, 79360, Villiers-en-Bois, France.; Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, 7001, Australia.
Raclot T; Institut Pluridisciplinaire Hubert Curien, UMR7178, CNRS-Universite de Strasbourg, Strasbourg, France.
Tucker M; Conservation Department, Phillip Island Nature Parks, Cowes, VIC, Australia.
Wisniewska DM; Sound Communication and Behaviour Group, Department of Biology, University of Southern Denmark, Campusvej 55, DK-5230, Odense M, Denmark.
Chiaradia A; Conservation Department, Phillip Island Nature Parks, Cowes, VIC, Australia.
Ropert-Coudert Y; Centre d'Etudes Biologiques de Chizé, UMR7372 CNRS - La Rochelle Université, 405 Route de Prissé La Charrière, 79360, Villiers-en-Bois, France.
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Źródło:
Scientific reports [Sci Rep] 2022 Nov 17; Vol. 12 (1), pp. 19737. Date of Electronic Publication: 2022 Nov 17.
Typ publikacji:
Journal Article
MeSH Terms:
Artificial Intelligence*
Machine Learning*
Animals ; Supervised Machine Learning ; Energy Metabolism
Czasopismo naukowe
Tytuł:
Self-supervised machine learning for live cell imagery segmentation.
Autorzy:
Robitaille MC; Materials Science and Technology Division, U.S. Naval Research Laboratory, Washington, DC, USA.
Byers JM; Materials Science and Technology Division, U.S. Naval Research Laboratory, Washington, DC, USA.
Christodoulides JA; Materials Science and Technology Division, U.S. Naval Research Laboratory, Washington, DC, USA.
Raphael MP; Materials Science and Technology Division, U.S. Naval Research Laboratory, Washington, DC, USA. .
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Źródło:
Communications biology [Commun Biol] 2022 Nov 02; Vol. 5 (1), pp. 1162. Date of Electronic Publication: 2022 Nov 02.
Typ publikacji:
Journal Article
MeSH Terms:
Supervised Machine Learning*
Algorithms*
Humans ; Machine Learning
Czasopismo naukowe
Tytuł:
Important feature identification for perceptual sex of point-light walkers using supervised machine learning.
Autorzy:
Asanoi C; Graduate School of Human Science, Tokyo Woman's Christian University, Tokyo, Japan.; .
Oda K; School of Arts and Sciences, Tokyo Woman's Christian University, Tokyo, Japan.; .
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Źródło:
Journal of vision [J Vis] 2022 Nov 01; Vol. 22 (12), pp. 10.
Typ publikacji:
Journal Article
MeSH Terms:
Supervised Machine Learning*
Support Vector Machine*
Humans ; Male ; Female ; Machine Learning ; Motion ; Cues
Czasopismo naukowe
Tytuł:
A novel candidate disease gene prioritization method using deep graph convolutional networks and semi-supervised learning.
Autorzy:
Azadifar S; Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran. .
Ahmadi A; Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran.
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Źródło:
BMC bioinformatics [BMC Bioinformatics] 2022 Oct 14; Vol. 23 (1), pp. 422. Date of Electronic Publication: 2022 Oct 14.
Typ publikacji:
Journal Article
MeSH Terms:
Neural Networks, Computer*
Supervised Machine Learning*
Area Under Curve ; Machine Learning ; ROC Curve
Czasopismo naukowe
Tytuł:
Adversarial attacks against supervised machine learning based network intrusion detection systems.
Autorzy:
Alshahrani E; Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Alghazzawi D; Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Alotaibi R; Information Technology Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
Rabie O; Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
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Źródło:
PloS one [PLoS One] 2022 Oct 14; Vol. 17 (10), pp. e0275971. Date of Electronic Publication: 2022 Oct 14 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Neural Networks, Computer*
Supervised Machine Learning*
Cytoreduction Surgical Procedures ; Machine Learning
Czasopismo naukowe
Tytuł:
Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-Square Test and Hyperparameter Optimization: A Retrospective Analysis.
Autorzy:
Ratul IJ; Department of EEE, Islamic University of Technology, Gazipur, Bangladesh.
Wani UH; Department of EEE, Islamic University of Technology, Gazipur, Bangladesh.
Nishat MM; Department of EEE, Islamic University of Technology, Gazipur, Bangladesh.
Al-Monsur A; Department of EEE, Islamic University of Technology, Gazipur, Bangladesh.
Ar-Rafi AM; Department of EEE, Islamic University of Technology, Gazipur, Bangladesh.
Faisal F; Department of EEE, Islamic University of Technology, Gazipur, Bangladesh.
Kabir MR; Department of CSE, Islamic University of Technology, Gazipur, Bangladesh.
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Źródło:
Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Sep 25; Vol. 2022, pp. 9391136. Date of Electronic Publication: 2022 Sep 25 (Print Publication: 2022).
Typ publikacji:
Journal Article
MeSH Terms:
Hematopoietic Stem Cell Transplantation*
Machine Learning*
Chi-Square Distribution ; Child ; Humans ; Retrospective Studies ; Supervised Machine Learning
Czasopismo naukowe
Tytuł:
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks.
Autorzy:
Jiang B; Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, China. Electronic address: .
Chen S; Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, China.
Wang B; Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, China.
Luo B; Information Materials and Intelligent Sensing Laboratory of Anhui Province, School of Computer Science and Technology, Anhui University, China.
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Źródło:
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2022 Sep; Vol. 153, pp. 204-214. Date of Electronic Publication: 2022 Jun 03.
Typ publikacji:
Journal Article
MeSH Terms:
Neural Networks, Computer*
Supervised Machine Learning*
Algorithms ; Machine Learning
Czasopismo naukowe
Tytuł:
Boundary heat diffusion classifier for a semi-supervised learning in a multilayer network embedding.
Autorzy:
Timilsina M; Data Science Institute, Insight Centre for Data Analytics, University of Galway, Ireland. Electronic address: .
Nováček V; Data Science Institute, Insight Centre for Data Analytics, University of Galway, Ireland; Faculty of Informatics, Masaryk University Brno, Czech Republic; Masaryk Memorial Cancer Institute, Brno, Czech Republic. Electronic address: .
d'Aquin M; Data Science Institute, Insight Centre for Data Analytics, University of Galway, Ireland. Electronic address: .
Yang H; School of Mathematical and Statistical Sciences, University of Galway, Ireland. Electronic address: .
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Źródło:
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2022 Dec; Vol. 156, pp. 205-217. Date of Electronic Publication: 2022 Oct 13.
Typ publikacji:
Journal Article
MeSH Terms:
Hot Temperature*
Supervised Machine Learning*
Algorithms ; Machine Learning
Czasopismo naukowe
Tytuł:
Surface similarity parameter: A new machine learning loss metric for oscillatory spatio-temporal data.
Autorzy:
Wedler M; Hamburg University of Technology, Dynamics Group, Schlossmühlendamm 30, 21073 Hamburg, Germany. Electronic address: .
Stender M; Hamburg University of Technology, Dynamics Group, Schlossmühlendamm 30, 21073 Hamburg, Germany.
Klein M; Hamburg University of Technology, Dynamics Group, Schlossmühlendamm 30, 21073 Hamburg, Germany.
Ehlers S; Hamburg University of Technology, Dynamics Group, Schlossmühlendamm 30, 21073 Hamburg, Germany.
Hoffmann N; Hamburg University of Technology, Dynamics Group, Schlossmühlendamm 30, 21073 Hamburg, Germany; Imperial College London, Department of Mechanical Engineering, 58 Prince's Gate, South Kensington, London SW7 1AY, United Kingdom.
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Źródło:
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2022 Dec; Vol. 156, pp. 123-134. Date of Electronic Publication: 2022 Sep 28.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Machine Learning*
Supervised Machine Learning
Czasopismo naukowe
Tytuł:
Prediction of Lumbar Drainage-Related Meningitis Based on Supervised Machine Learning Algorithms.
Autorzy:
Wang P; Department of Neurosurgery, Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
Cheng S; Department of Neurosurgery, Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
Li Y; West China Fourth Hospital/West China School of Public Health, Sichuan University, Chengdu, China.
Liu L; Department of Neurosurgery, Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
Liu J; Department of Neurosurgery, Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
Zhao Q; Department of Neurosurgery, Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
Luo S; Department of Neurosurgery, Cancer Prevention and Treatment Institute of Chengdu, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, China.
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Źródło:
Frontiers in public health [Front Public Health] 2022 Jun 28; Vol. 10, pp. 910479. Date of Electronic Publication: 2022 Jun 28 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Machine Learning*
Meningitis*
Algorithms ; Drainage ; Humans ; Supervised Machine Learning
Czasopismo naukowe
Tytuł:
Semi-supervised classifier guided by discriminator.
Autorzy:
Jamroziński S; Department of Arificial Intelligence, Wroclaw University of Science and Technology, wyb. Wyspiańskiego 27, 50-30, Wrocław, Poland. .
Markowska-Kaczmar U; Department of Arificial Intelligence, Wroclaw University of Science and Technology, wyb. Wyspiańskiego 27, 50-30, Wrocław, Poland. .
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Źródło:
Scientific reports [Sci Rep] 2022 Aug 29; Vol. 12 (1), pp. 14665. Date of Electronic Publication: 2022 Aug 29.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Supervised Machine Learning*
Humans ; Machine Learning
Czasopismo naukowe
Tytuł:
Predicting genes associated with RNA methylation pathways using machine learning.
Autorzy:
Tsagkogeorga G; STORM Therapeutics Ltd, Babraham Research Campus, Cambridge, UK. .; Milner Therapeutics Institute, University of Cambridge, Puddicombe Way, Cambridge, UK. .
Santos-Rosa H; The Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge, UK.
Alendar A; The Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge, UK.
Leggate D; STORM Therapeutics Ltd, Babraham Research Campus, Cambridge, UK.
Rausch O; STORM Therapeutics Ltd, Babraham Research Campus, Cambridge, UK.
Kouzarides T; Milner Therapeutics Institute, University of Cambridge, Puddicombe Way, Cambridge, UK.; The Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge, UK.
Weisser H; STORM Therapeutics Ltd, Babraham Research Campus, Cambridge, UK. .
Han N; Milner Therapeutics Institute, University of Cambridge, Puddicombe Way, Cambridge, UK. .; Cambridge Centre for AI in Medicine, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK. .
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Źródło:
Communications biology [Commun Biol] 2022 Aug 25; Vol. 5 (1), pp. 868. Date of Electronic Publication: 2022 Aug 25.
Typ publikacji:
Journal Article
MeSH Terms:
Machine Learning*
Proteomics*
Humans ; Methylation ; RNA ; Supervised Machine Learning
Czasopismo naukowe
Tytuł:
What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges.
Autorzy:
Kalabakov S; Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia.; Jožef Stefan International Postgraduate School, 1000 Ljubljana, Slovenia.; Faculty of Electrical Engineering and Information Technologies, Ss. Cyril and Methodius University in Skopje, 1000 Skopje, North Macedonia.
Stankoski S; Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia.; Jožef Stefan International Postgraduate School, 1000 Ljubljana, Slovenia.
Kiprijanovska I; Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia.; Jožef Stefan International Postgraduate School, 1000 Ljubljana, Slovenia.
Andova A; Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia.; Jožef Stefan International Postgraduate School, 1000 Ljubljana, Slovenia.
Reščič N; Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia.; Jožef Stefan International Postgraduate School, 1000 Ljubljana, Slovenia.
Janko V; Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia.
Gjoreski M; Faculty of Informatics, Università della Svizzera Italiana (USI), 6900 Lugano, Switzerland.
Gams M; Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia.; Jožef Stefan International Postgraduate School, 1000 Ljubljana, Slovenia.
Luštrek M; Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia.; Jožef Stefan International Postgraduate School, 1000 Ljubljana, Slovenia.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 May 10; Vol. 22 (10). Date of Electronic Publication: 2022 May 10.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Supervised Machine Learning*
Humans ; Locomotion ; Machine Learning ; Smartphone
Czasopismo naukowe
Tytuł:
Exploration of Black Boxes of Supervised Machine Learning Models: A Demonstration on Development of Predictive Heart Risk Score.
Autorzy:
Sajid MR; Department of Statistics, University of Gujrat, Hafiz Hayat Campus Jalalpur Road, Gujrat 50700, Pakistan.
Khan AA; Faculty of Computing, Universiti Malaysia Pahang, Pekan 26600, Malaysia.
Albar HM; Department of Surgery, College of Medicine, Majmaah University, Almajmaah 11952, Saudi Arabia.
Muhammad N; Centre of Excellence for Artificial Intelligence & Data Science, Department of Knowledge Management & Information Technology, Universiti Malaysia Pahang, Gambang 26300, Malaysia.
Sami W; Department of Community Medicine and Public Health, College of Medicine, Majmaah University, Almajmaah 11952, Saudi Arabia.; Azra Naheed Medical College, Superior University, Lahore 54000, Pakistan.
Bukhari SAC; Division of Computer Science, Mathematics and Science, Collins College of Professional Studies, St. Johns University, New York, NY 11439, USA.
Wajahat I; Allied Institute of Medical Sciences, Gujranwala 52250, Pakistan.
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Źródło:
Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 May 12; Vol. 2022, pp. 5475313. Date of Electronic Publication: 2022 May 12 (Print Publication: 2022).
Typ publikacji:
Journal Article
MeSH Terms:
Cardiovascular Diseases*
Supervised Machine Learning*
Humans ; Machine Learning ; Neural Networks, Computer ; Risk Factors ; Support Vector Machine
Czasopismo naukowe
Tytuł:
An analysis framework for clustering algorithm selection with applications to spectroscopy.
Autorzy:
Crase S; College of Engineering, IT & Environment, Charles Darwin University, Darwin, Northern Territory, Australia.; Defence Science and Technology Group, Edinburgh, South Australia, Australia.
Thennadil SN; College of Engineering, IT & Environment, Charles Darwin University, Darwin, Northern Territory, Australia.; Energy and Resources Institute, Charles Darwin University, Darwin, Northern Territory, Australia.
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Źródło:
PloS one [PLoS One] 2022 Mar 31; Vol. 17 (3), pp. e0266369. Date of Electronic Publication: 2022 Mar 31 (Print Publication: 2022).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Algorithms*
Unsupervised Machine Learning*
Cluster Analysis ; Machine Learning ; Spectrum Analysis
Czasopismo naukowe
Tytuł:
Feature engineering solution with structured query language analytic functions in detecting electricity frauds using machine learning.
Autorzy:
Oprea SV; Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Romana Square 6, 010374, Bucharest, Romania. .
Bâra A; Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, Romana Square 6, 010374, Bucharest, Romania.
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Źródło:
Scientific reports [Sci Rep] 2022 Feb 28; Vol. 12 (1), pp. 3257. Date of Electronic Publication: 2022 Feb 28.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Algorithms*
Machine Learning*
Electricity ; Fraud ; Unsupervised Machine Learning
Czasopismo naukowe
Tytuł:
A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets.
Autorzy:
Frasier KE; Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2021 Dec 03; Vol. 17 (12), pp. e1009613. Date of Electronic Publication: 2021 Dec 03 (Print Publication: 2021).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Acoustics*
Machine Learning*
Cetacea/*physiology
Echolocation/*physiology
Algorithms ; Animals ; California ; Cluster Analysis ; Computational Biology ; Data Interpretation, Statistical ; Databases, Factual ; Deep Learning ; Software Design ; Unsupervised Machine Learning ; Whales/physiology
Czasopismo naukowe

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