Temat: "machine learning" - OpacWWW

Skocz do pozycji: 1.

Tytuł:: NLS: An accurate and yet easy-to-interpret prediction method.
Autorzy:: Coscrato V; University College Cork, Cork, Ireland. Electronic address: .
Inácio MHA; Budapest University of Technology and Economics, Budapest, Hungary. Electronic address: .
Botari T; University of São Paulo, São Carlos - SP, Brazil. Electronic address: .
Izbicki R; Federal University of São Carlos, São Carlos - SP, Brazil. Electronic address: .; Pokaż więcej
Źródło:: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2023 May; Vol. 162, pp. 117-130. Date of Electronic Publication: 2023 Mar 03.
Typ publikacji:: Journal Article
MeSH Terms:: Neural Networks, Computer*
Machine Learning*
Humans ; Algorithms ; Supervised Machine Learning

Czasopismo naukowe

na półce

Szczegóły

Skocz do pozycji: 2.

Tytuł:: Supervised machine learning and associated algorithms: applications in orthopedic surgery.
Autorzy:: Pruneski JA; Department of Orthopedic Surgery, Boston Children's Hospital, Boston, MA, USA.
Pareek A; Sports Medicine and Shoulder Service, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA. .
Kunze KN; Sports Medicine and Shoulder Service, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA.
Martin RK; Department of Orthopedic Surgery, University of Minnesota, Minneapolis, MN, USA.
Karlsson J; Orthopaedic Research Department, Göteborg University, Göteborg, Sweden.
Oeding JF; School of Medicine, Mayo Clinic Alix School of Medicine, Rochester, MN, USA.
Kiapour AM; Department of Orthopedic Surgery, Boston Children's Hospital, Boston, MA, USA.
Nwachukwu BU; Sports Medicine and Shoulder Service, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA.
Williams RJ 3rd; Sports Medicine and Shoulder Service, Hospital for Special Surgery, 535 East 70th Street, New York, NY, 10021, USA.; Pokaż więcej
Źródło:: Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA [Knee Surg Sports Traumatol Arthrosc] 2023 Apr; Vol. 31 (4), pp. 1196-1202. Date of Electronic Publication: 2022 Oct 12.
Typ publikacji:: Journal Article; Review
MeSH Terms:: Supervised Machine Learning*
Orthopedic Procedures*
Humans ; Algorithms ; Machine Learning

Czasopismo naukowe

na półce

Szczegóły

Skocz do pozycji: 3.

Tytuł:: Landslide susceptibility prediction improvements based on a semi-integrated supervised machine learning model.
Autorzy:: Yang N; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.; University of Chinese Academy of Sciences, Beijing, 100049, China.
Wang R; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. .; University of Chinese Academy of Sciences, Beijing, 100049, China. .
Liu Z; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.; University of Chinese Academy of Sciences, Beijing, 100049, China.
Yao Z; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.; University of Chinese Academy of Sciences, Beijing, 100049, China.; Pokaż więcej
Źródło:: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2023 Apr; Vol. 30 (17), pp. 50280-50294. Date of Electronic Publication: 2023 Feb 15.
Typ publikacji:: Journal Article
MeSH Terms:: Supervised Machine Learning*
Landslides*
Bayes Theorem ; Neural Networks, Computer ; Machine Learning

Czasopismo naukowe

na półce

Szczegóły

Skocz do pozycji: 4.

Tytuł:: The Impact of Supervised Learning Methods in Ultralarge High-Throughput Docking.
Autorzy:: Cavasotto CN; Computational Drug Design and Biomedical Informatics Laboratory, Instituto de Investigaciones en Medicina Traslacional (IIMT), CONICET-Universidad Austral, Av. Juan Domingo Perón 1500, B1629AHJ Pilar, Argentina.; Facultad de Ciencias Biomédicas, and Facultad de Ingeniería, Universidad Austral, Av. Juan Domingo Perón 1500, B1629AHJ Pilar, Argentina.; Austral Institute for Applied Artificial Intelligence, Universidad Austral, Av. Juan Domingo Perón 1500, B1629AHJ Pilar, Argentina.
Di Filippo JI; Computational Drug Design and Biomedical Informatics Laboratory, Instituto de Investigaciones en Medicina Traslacional (IIMT), CONICET-Universidad Austral, Av. Juan Domingo Perón 1500, B1629AHJ Pilar, Argentina.; Facultad de Ciencias Biomédicas, and Facultad de Ingeniería, Universidad Austral, Av. Juan Domingo Perón 1500, B1629AHJ Pilar, Argentina.; Austral Institute for Applied Artificial Intelligence, Universidad Austral, Av. Juan Domingo Perón 1500, B1629AHJ Pilar, Argentina.; Pokaż więcej
Źródło:: Journal of chemical information and modeling [J Chem Inf Model] 2023 Apr 24; Vol. 63 (8), pp. 2267-2280. Date of Electronic Publication: 2023 Apr 10.
Typ publikacji:: Journal Article; Review
MeSH Terms:: Drug Discovery*
Machine Learning*
Databases, Factual ; Supervised Machine Learning ; Molecular Docking Simulation ; Ligands

Czasopismo naukowe

na półce

Szczegóły

Skocz do pozycji: 5.

Tytuł:: Generalization of vision pre-trained models for histopathology.
Autorzy:: Sikaroudi M; Kimia Lab, University of Waterloo, Waterloo, ON, Canada.
Hosseini M; Kimia Lab, University of Waterloo, Waterloo, ON, Canada.
Gonzalez R; Kimia Lab, University of Waterloo, Waterloo, ON, Canada.; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
Rahnamayan S; Kimia Lab, University of Waterloo, Waterloo, ON, Canada.; Engineering Department, Brock University, St. Catharines, ON, Canada.
Tizhoosh HR; Kimia Lab, University of Waterloo, Waterloo, ON, Canada. .; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA. .; Rhazes Lab, Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, USA. .; Pokaż więcej
Źródło:: Scientific reports [Sci Rep] 2023 Apr 13; Vol. 13 (1), pp. 6065. Date of Electronic Publication: 2023 Apr 13.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Neural Networks, Computer*
Machine Learning*
Humans ; Supervised Machine Learning

Czasopismo naukowe

na półce

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Skocz do pozycji: 6.

Tytuł:: Predicting functional effects of ion channel variants using new phenotypic machine learning methods.
Autorzy:: Boßelmann CM; Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany.; Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Tuebingen, Germany.
Hedrich UBS; Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany.
Lerche H; Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany.
Pfeifer N; Methods in Medical Informatics, Department of Computer Science, University of Tuebingen, Tuebingen, Germany.; Institute for Bioinformatics and Medical Informatics, University of Tuebingen, Tuebingen, Germany.; Pokaż więcej
Źródło:: PLoS computational biology [PLoS Comput Biol] 2023 Mar 06; Vol. 19 (3), pp. e1010959. Date of Electronic Publication: 2023 Mar 06 (Print Publication: 2023).
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Machine Learning*
Ion Channels*/genetics
Humans ; Phenotype ; Genetic Association Studies ; Supervised Machine Learning

Czasopismo naukowe

na półce

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Skocz do pozycji: 7.

Tytuł:: A Novel System to Increase Yield of Manufacturing Test of an RF Transceiver through Application of Machine Learning.
Autorzy:: Siddiqui A; Airbus Defence and Space, UK.
Otero P; Telecommunications Engineering School, University of Malaga, 29010 Málaga, Spain.; Institute of Oceanic Engineering Research, University of Malaga, 29010 Málaga, Spain.
Zubair M; Faculty of Engineering, Iqra University, Karachi 75850, Pakistan.; Pokaż więcej
Źródło:: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 08; Vol. 23 (2). Date of Electronic Publication: 2023 Jan 08.
Typ publikacji:: Journal Article
MeSH Terms:: Machine Learning*
Commerce*
Automation ; Supervised Machine Learning ; Algorithms

Czasopismo naukowe

na półce

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Skocz do pozycji: 8.

Tytuł:: Application of Machine Learning Methods for an Analysis of E-Nose Multidimensional Signals in Wastewater Treatment.
Autorzy:: Piłat-Rożek M; Faculty of Technology Fundamentals, Lublin University of Technology, 20-618 Lublin, Poland.
Łazuka E; Faculty of Technology Fundamentals, Lublin University of Technology, 20-618 Lublin, Poland.
Majerek D; Faculty of Technology Fundamentals, Lublin University of Technology, 20-618 Lublin, Poland.
Szeląg B; Faculty of Environmental, Geomatic and Energy Engineering, Kielce University of Technology, 25-314 Kielce, Poland.
Duda-Saternus S; Institute of Rural Health in Lublin, 20-090 Lublin, Poland.
Łagód G; Faculty of Environmental Engineering, Lublin University of Technology, 20-618 Lublin, Poland.; Pokaż więcej
Źródło:: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 02; Vol. 23 (1). Date of Electronic Publication: 2023 Jan 02.
Typ publikacji:: Journal Article
MeSH Terms:: Electronic Nose*
Machine Learning*
Supervised Machine Learning ; Random Forest ; Software

Czasopismo naukowe

na półce

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Skocz do pozycji: 9.

Tytuł:: Uncovering the complex genetic architecture of human plasma lipidome using machine learning methods.
Autorzy:: Lehtimäki M; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
Mishra BH; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
Del-Val C; Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.; Instituto de Investigación Biosanitaria ibs. GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.
Lyytikäinen LP; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
Kähönen M; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland.
Cloninger CR; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Raitakari OT; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland.; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland.
Laaksonen R; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Zora Biosciences Oy, Espoo, Finland.
Zwir I; Department of Computer Science and Artificial Intelligence, Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain.; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.; Instituto de Investigación Biosanitaria ibs. GRANADA, Complejo Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain.
Lehtimäki T; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland.; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland.
Mishra PP; Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland. .; Faculty of Medicine and Health Technology, Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland. .; Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland. .; Pokaż więcej
Źródło:: Scientific reports [Sci Rep] 2023 Feb 22; Vol. 13 (1), pp. 3078. Date of Electronic Publication: 2023 Feb 22.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Lipidomics*
Machine Learning*
Humans ; Genotype ; Phenotype ; Unsupervised Machine Learning ; Polymorphism, Single Nucleotide

Czasopismo naukowe

na półce

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Skocz do pozycji: 10.

Tytuł:: Machine Learning Assisted Clustering of Nanoparticle Structures.
Autorzy:: Roncaglia C; Physics Department, University of Genoa, Via Dodecaneso 33, 16146Genoa, Italy.
Ferrando R; Physics Department, University of Genoa and CNR-IMEM, Via Dodecaneso 33, 16146Genoa, Italy.; Pokaż więcej
Źródło:: Journal of chemical information and modeling [J Chem Inf Model] 2023 Jan 23; Vol. 63 (2), pp. 459-473. Date of Electronic Publication: 2023 Jan 03.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Machine Learning*
Algorithms*
Cluster Analysis ; Molecular Dynamics Simulation ; Unsupervised Machine Learning

Czasopismo naukowe

na półce

Szczegóły

Skocz do pozycji: 11.

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.; Pokaż więcej
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

na półce

Szczegóły

Skocz do pozycji: 12.

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: .; Pokaż więcej
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

na półce

Szczegóły

Skocz do pozycji: 13.

Tytuł:: Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms.
Autorzy:: Chabane N; Department of Computer Science, Université du Québec à Montréal, Montreal, QC, Canada.
Bouaoune A; Department of Computer Science, Université du Québec à Montréal, Montreal, QC, Canada.
Tighilt R; Department of Computer Science, Université du Québec à Montréal, Montreal, QC, Canada.
Abdar M; Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Victoria, Australia.
Boc A; Department of Computer Science, Université du Québec à Montréal, Montreal, QC, Canada.
Lord E; Department of Computer Science, Université du Québec à Montréal, Montreal, QC, Canada.
Tahiri N; University of Sherbrooke, Sherbrooke, QC, Canada.
Mazoure B; School of Computer Science, McGill University, Montreal, QC, Canada.; Quebec AI Institute (MILA), Montreal, QC, Canada.
Acharya UR; Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore.; Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore, Singapore.; Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan.
Makarenkov V; Department of Computer Science, Université du Québec à Montréal, Montreal, QC, Canada.; Pokaż więcej
Źródło:: PloS one [PLoS One] 2022 Dec 01; Vol. 17 (12), pp. e0278364. Date of Electronic Publication: 2022 Dec 01 (Print Publication: 2022).
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Supervised Machine Learning*
Algorithms*
Canada ; Cluster Analysis ; Machine Learning

Czasopismo naukowe

na półce

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Skocz do pozycji: 14.

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.; Pokaż więcej
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

na półce

Szczegóły

Skocz do pozycji: 15.

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.; Pokaż więcej
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

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na półce

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Skocz do pozycji: 16.

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.; Pokaż więcej
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

na półce

Szczegóły

Skocz do pozycji: 17.

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.; Pokaż więcej
Źródło:: Scientific reports [Sci Rep] 2022 Nov 17; Vol. 12 (1), pp. 19737. Date of Electronic Publication: 2022 Nov 17.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Artificial Intelligence*
Machine Learning*
Animals ; Supervised Machine Learning ; Energy Metabolism

Czasopismo naukowe

na półce

Szczegóły

Skocz do pozycji: 18.

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. .; Pokaż więcej
Źródło:: Communications biology [Commun Biol] 2022 Nov 02; Vol. 5 (1), pp. 1162. Date of Electronic Publication: 2022 Nov 02.
Typ publikacji:: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:: Supervised Machine Learning*
Algorithms*
Humans ; Machine Learning

Czasopismo naukowe

na półce

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Skocz do pozycji: 19.

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.; .; Pokaż więcej
Źródło:: Journal of vision [J Vis] 2022 Nov 01; Vol. 22 (12), pp. 10.
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:: Supervised Machine Learning*
Support Vector Machine*
Humans ; Male ; Female ; Machine Learning ; Motion ; Cues

Czasopismo naukowe

na półce

Szczegóły

Skocz do pozycji: 20.

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.; Pokaż więcej
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

na półce

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Machine learning.