Prototype-Neighbor Networks with task-specific enhanced meta-learning for few-shot classification.

Authors: Jiang Z; School of computer science and communication engineering, Jiangsu University, Zhenjiang, PR China. Electronic address: jiangz@ujs.edu.cn., Feng Z; School of computer science and communication engineering, Jiangsu University, Zhenjiang, PR China., Niu B; School of computer science and communication engineering, Jiangsu University, Zhenjiang, PR China.

Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2025 Oct; Vol. 190, pp. 107761. Date of Electronic Publication: 2025 Jun 10.

Publication Type: Comparative Study; Journal Article; Validation Study

Journal Info: 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

MeSH Terms: Classification Algorithms* , Machine Learning* , Neural Networks, Computer*, Datasets as Topic ; Reproducibility of Results ; Image Interpretation, Computer-Assisted/methods ; Image Processing, Computer-Assisted/methods ; Humans ; Animals ; Birds/classification

Perisomatic ultrastructure efficiently classifies cells in mouse cortex.

Authors: Elabbady L; Allen Institute for Brain Science, Seattle, WA, USA.; University of Washington, Seattle, WA, USA., Seshamani S; Allen Institute for Brain Science, Seattle, WA, USA., Mu S; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Mahalingam G; Allen Institute for Brain Science, Seattle, WA, USA., Schneider-Mizell CM; Allen Institute for Brain Science, Seattle, WA, USA., Bodor AL; Allen Institute for Brain Science, Seattle, WA, USA., Bae JA; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Brittain D; Allen Institute for Brain Science, Seattle, WA, USA., Buchanan J; Allen Institute for Brain Science, Seattle, WA, USA., Bumbarger DJ; Allen Institute for Brain Science, Seattle, WA, USA., Castro MA; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Dorkenwald S; Allen Institute for Brain Science, Seattle, WA, USA.; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Halageri A; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Jia Z; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Jordan C; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Kapner D; Allen Institute for Brain Science, Seattle, WA, USA., Kemnitz N; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Kinn S; Allen Institute for Brain Science, Seattle, WA, USA., Lee K; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Li K; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Lu R; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Macrina T; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Mitchell E; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Mondal SS; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Nehoran B; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Popovych S; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Silversmith W; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Takeno M; Allen Institute for Brain Science, Seattle, WA, USA., Torres R; Allen Institute for Brain Science, Seattle, WA, USA., Turner NL; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Wong W; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Wu J; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Yin W; Allen Institute for Brain Science, Seattle, WA, USA., Yu SC; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Seung HS; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA., Reid RC; Allen Institute for Brain Science, Seattle, WA, USA., da Costa NM; Allen Institute for Brain Science, Seattle, WA, USA., Collman F; Allen Institute for Brain Science, Seattle, WA, USA. forrestc@alleninstitute.org.

Source: Nature [Nature] 2025 Apr; Vol. 640 (8058), pp. 478-486. Date of Electronic Publication: 2025 Apr 09.

Publication Type: Journal Article

Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-4687 (Electronic) Linking ISSN: 00280836 NLM ISO Abbreviation: Nature Subsets: MEDLINE

MeSH Terms: Neocortex*/cytology , Neocortex*/ultrastructure , Neurons*/ultrastructure , Neurons*/classification , Classification Algorithms*, Animals ; Male ; Mice ; Microscopy, Electron ; Synapses/ultrastructure ; Cell Nucleus/ultrastructure ; Datasets as Topic ; Mice, Knockout ; DNA Primase/genetics ; Autoencoder

An effective COVID-19 classification in X-ray images using a new deep learning framework.

Authors: Thilagavathi P; Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, Vinayaka Mission & Research Foundation(DU) Paiyanoor, Chennai, Tamil Nadu, India., Geetha R; Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India., Jothi Shri S; Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamil Nadu, India., Somasundaram K; Department of Computer Science and Engineering, Sri Muthukumaran Institute of Technology, Chennai, Tamil Nadu, India.

Source: Journal of X-ray science and technology [J Xray Sci Technol] 2025 Mar; Vol. 33 (2), pp. 297-316. Date of Electronic Publication: 2025 Jan 19.

Publication Type: Journal Article

Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 9000080 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9114 (Electronic) Linking ISSN: 08953996 NLM ISO Abbreviation: J Xray Sci Technol Subsets: MEDLINE

MeSH Terms: COVID-19*/diagnosis , COVID-19*/pathology , Radiography, Thoracic* , Deep Learning* , Classification Algorithms*, Humans

Assessing the 10/66 dementia classification algorithm for international comparative analyses with the United States.

Authors: Llibre Guerra JJ; Department of Neurology, Washington University in St. Louis, St. Louis, MO, United States., Weiss J; Stanford Center on Longevity, Stanford University, Stanford, CA, United States., Li J; Department of Pharmacy, University of Washington, Seattle, WA, United States., Soria C; Department of Demography, University of California at Berkeley, Berkeley, CA, United States., Rodriguez-Salgado A; Medical University of Havana, Havana, Cuba., Jesús Llibre Rodriguez J; Medical University of Havana, Havana, Cuba., Jiménez Velázquez IZ; Department of Medicine, University of Puerto Rico, San Juan, Puerto Rico., Acosta D; Universidad Nacional Pedro Henriquez Ureña, Santo Domingo, Dominican Republic., Liu MM; Department of Demography, University of California at Berkeley, Berkeley, CA, United States., Dow WH; Department of Demography, University of California at Berkeley, Berkeley, CA, United States.; Department of Demography, School of Public Health, University of California at Berkeley, Berkeley, CA, United States.

Source: American journal of epidemiology [Am J Epidemiol] 2025 Nov 04; Vol. 194 (11), pp. 3117-3125.

Publication Type: Journal Article; Comparative Study

Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE

MeSH Terms: Algorithms* , Dementia*/classification , Dementia*/epidemiology , Dementia*/diagnosis, Humans ; United States/epidemiology ; Aged ; Male ; Female ; Aged, 80 and over ; Middle Aged ; Risk Factors ; Sensitivity and Specificity ; Prevalence ; Developing Countries ; Classification Algorithms

[A study on heart sound classification algorithm based on improved Mel-frequency cepstrum coefficient feature extraction and deep Transformer].

Authors: Meng X; School of Opto-Electronic Information & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, P. R. China., Zhang S; School of Opto-Electronic Information & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, P. R. China.

Source: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi [Sheng Wu Yi Xue Gong Cheng Xue Za Zhi] 2025 Oct 25; Vol. 42 (5), pp. 1012-1020.

Publication Type: English Abstract; Journal Article

Journal Info: Publisher: Sichuan Sheng sheng wu yi xue gong cheng xue hui Country of Publication: China NLM ID: 9426398 Publication Model: Print Cited Medium: Print ISSN: 1001-5515 (Print) Linking ISSN: 10015515 NLM ISO Abbreviation: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi Subsets: MEDLINE

MeSH Terms: Heart Sounds*/physiology , Algorithms* , Neural Networks, Computer* , Signal Processing, Computer-Assisted*, Humans ; Deep Learning ; Cardiovascular Diseases/diagnosis ; Classification Algorithms

Modeling of Severity Classification Algorithm Using Abdominal Aortic Aneurysm Computed Tomography Image Segmentation Based on U-Net with Improved Noise Reduction Performance.

Authors: Lim S; Department of Health Science, General Graduate School of Gachon University, 191, Hambakmoe-ro, Yeonsu-gu, Incheon 21936, Republic of Korea., Kim H; Department of Health Science, General Graduate School of Gachon University, 191, Hambakmoe-ro, Yeonsu-gu, Incheon 21936, Republic of Korea., Seo KH; Department of Radiology, Hallym Hospital, 722, Jangjero, Gyeyang-gu, Incheon 21079, Republic of Korea., Lee Y; Department of Radiological Science, Gachon University, 191, Hambakmoe-ro, Yeonsu-gu, Incheon 21936, Republic of Korea.

Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Oct 22; Vol. 25 (21). Date of Electronic Publication: 2025 Oct 22.

Publication Type: Journal Article

Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE

MeSH Terms: Aortic Aneurysm, Abdominal*/diagnostic imaging , Algorithms* , Tomography, X-Ray Computed*/methods , Image Processing, Computer-Assisted*/methods, Humans ; Signal-To-Noise Ratio ; Classification Algorithms

Estimation of sexual dimorphism of adult human mandibles of South Indian origin using non-metric parameters and machine learning classification algorithms.

Authors: Corda JV; Department of Mechanical Engineering, Moodlakatte Institute of Technology, Kundapura, Karnataka, India., Karthikeyan A; Department of Computer Science & Engineering (Data Science), Moodlakatte Institute of Technology, Kundapura, Karnataka, India., Zuber M; Department of Aeronautical & Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India., Jacob M; Department of Anatomy, Yenepoya Medical College, Mangaluru, India., Ramos A; Department of Anatomy & Medical Imaging, American University of Antigua College of Medicine, Antigua, Antigua and Barbuda., Hosapatna M; Department of Anatomy, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, India., Dsouza A; Department of Anatomy, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, India., Pandey AK; Department of Community Medicine, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, India., Ankolekar VH; Department of Anatomy, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, India. vrindaank2016@gmail.com.

Source: Scientific reports [Sci Rep] 2025 Oct 03; Vol. 15 (1), pp. 34534. Date of Electronic Publication: 2025 Oct 03.

Publication Type: Journal Article

Journal Info: 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 Terms: Mandible*/anatomy & histology , Machine Learning* , Sex Characteristics* , Sex Determination by Skeleton*/methods, Humans ; Male ; Female ; India ; Adult ; Algorithms ; Support Vector Machine ; Decision Trees ; Forensic Anthropology/methods ; Young Adult ; Classification Algorithms

Prompt-guided consistency learning for multi-label classification with incomplete labels.

Authors: Wang S; School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China; Key Lab of Image Processing and Intelligent Control, Ministry of Education, Wuhan, 430074, China., Wan Q; Independent Researcher, Wuhan, 430074, China., Zhang Z; School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China; Key Lab of Image Processing and Intelligent Control, Ministry of Education, Wuhan, 430074, China., Zeng Z; School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074, China; Key Lab of Image Processing and Intelligent Control, Ministry of Education, Wuhan, 430074, China. Electronic address: zgzeng@hust.edu.cn.

Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2025 Oct; Vol. 190, pp. 107604. Date of Electronic Publication: 2025 May 26.

Publication Type: Journal Article

Journal Info: 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

MeSH Terms: Data Curation* , Neural Networks, Computer*, Datasets as Topic ; Machine Learning ; Graph Neural Networks ; Recurrent Neural Networks ; Classification Algorithms ; Semantics

Machine learning prediction of kangaroo mother care in Sierra Leone: a comparative study of feature selection techniques and classification algorithms.

Authors: Osborne A; Institute for Development, Western Area, Freetown, the Republic of Sierra Leone., Soladoye AA; Department of Computer Engineering, Federal University, Oye-Ekiti, Nigeria; Department of Computer Engineering, Adeleke University, Ede, Nigeria., Usani KO; Department of Data Science and Artificial Intelligence, School of Business, Computing and Social Sciences, University of Gloucestershire, Cheltenham, United Kingdom., Adekoya AI; Department of Computer Science, Faculty of Computing, Engineering and the Built Environment, Birmingham City University, Birmingham, United Kingdom,; Department of Physiology, Faculty of Basic Medical Sciences, University of Ibadan, Ibadan, Nigeria., Wada OZ; College of Science and Engineering, Division of Sustainable Development, Hamad Bin Khalifa University, Qatar Foundation, Education City, Doha, Qatar., Olawade DB; Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Department of Public Health, York St John University, London, United Kingdom; School of Health and Care Management, Arden University, Arden House, Middlemarch Park, Coventry CV3 4FJ, United Kingdom. Electronic address: d.olawade@uel.ac.uk.

Source: International journal of medical informatics [Int J Med Inform] 2026 Feb; Vol. 206, pp. 106166. Date of Electronic Publication: 2025 Oct 26.

Publication Type: Journal Article; Comparative Study

Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE

MeSH Terms: Kangaroo-Mother Care Method*/statistics & numerical data , Machine Learning* , Algorithms*, Humans ; Sierra Leone ; Infant, Newborn ; Female ; Adult ; Infant ; Support Vector Machine ; Classification Algorithms

CORRECTING MEASUREMENT ERROR IN REGRESSION MODELS WITH VARIABLES CONSTRUCTED FROM AGGREGATED OUTPUT OF DATA MINING MODELS.

Authors: Mengke Qiao (AUTHOR) mqiao@ua.edu, Ke-Wei Huang (AUTHOR) huangkw@comp.nus.edu.sg

Source: MIS Quarterly. Mar2025, Vol. 49 Issue 1, p29-60. 32p. 11 Charts, 10 Graphs.

Subject Terms: *DATA mining, *REGRESSION analysis, CLASSIFICATION algorithms, MEASUREMENT errors, ERRORS-in-variables models, CENTRAL limit theorem, LAW of large numbers, AGGREGATED data

Development and validation of a deep learning-based automatic classification algorithm for the medial temporal lobe atrophy score using a multimodality cascade transformer.

Authors: Lee SJ; Department of Radiology, Dongguk University Ilsan Hospital, Goyang, Republic of Korea., Lee D; VUNO Inc., Seoul, Republic of Korea., Suh CH; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: chonghyunsuh@amc.seoul.kr., Jeong SY; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Department of Radiology, Seoul National University Bundang Hospital, Seongnam, Republic of Korea., Shin HM; VUNO Inc., Seoul, Republic of Korea., Jung W; VUNO Inc., Seoul, Republic of Korea., Kim J; VUNO Inc., Seoul, Republic of Korea., Lim JS; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Kim HS; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Kim SJ; Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea., Lee JH; Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: jhlee@amc.seoul.kr.

Source: Clinical radiology [Clin Radiol] 2025 Sep; Vol. 88, pp. 106993. Date of Electronic Publication: 2025 Jun 17.

Publication Type: Journal Article; Observational Study; Validation Study

Journal Info: Publisher: Blackwell Scientific Publications Ltd Country of Publication: England NLM ID: 1306016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-229X (Electronic) Linking ISSN: 00099260 NLM ISO Abbreviation: Clin Radiol Subsets: MEDLINE

MeSH Terms: Deep Learning* , Temporal Lobe*/pathology , Temporal Lobe*/diagnostic imaging , Cognitive Dysfunction*/diagnostic imaging , Cognitive Dysfunction*/pathology , Magnetic Resonance Imaging*/methods, Humans ; Retrospective Studies ; Female ; Male ; Atrophy/diagnostic imaging ; Algorithms ; Middle Aged ; Aged ; Reproducibility of Results ; Classification Algorithms

Study on the origin traceability of Menthae Haplocalycis Herba in China based on multivariate data fusion combined with an artificial intelligence classification algorithm.

Authors: Wang S; School of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, China. kewei@njucm.edu.cn., Zhang K; School of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, China. kewei@njucm.edu.cn., Ma T; School of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, China. kewei@njucm.edu.cn., Gan X; School of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, China. kewei@njucm.edu.cn., Fu R; School of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, China. kewei@njucm.edu.cn., Ren Y; School of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, China. kewei@njucm.edu.cn., Lu T; School of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, China. kewei@njucm.edu.cn., Mao C; School of Pharmacy, Nanjing University of Chinese Medicine, 138 Xianlin Rd, Nanjing, 210023, China. kewei@njucm.edu.cn.

Source: Analytical methods : advancing methods and applications [Anal Methods] 2025 Aug 15; Vol. 17 (32), pp. 6526-6538. Date of Electronic Publication: 2025 Aug 15.

Publication Type: Journal Article

Journal Info: Publisher: RSC Pub Country of Publication: England NLM ID: 101519733 Publication Model: Electronic Cited Medium: Internet ISSN: 1759-9679 (Electronic) Linking ISSN: 17599660 NLM ISO Abbreviation: Anal Methods Subsets: MEDLINE

MeSH Terms: Artificial Intelligence* , Mentha*/chemistry , Drugs, Chinese Herbal*/chemistry , Drugs, Chinese Herbal*/analysis, China ; Algorithms ; Multivariate Analysis ; Principal Component Analysis ; Chromatography, High Pressure Liquid/methods ; Electronic Nose ; Discriminant Analysis ; Volatile Organic Compounds/analysis ; Least-Squares Analysis ; Classification Algorithms

A two-stage EEG zero-shot classification algorithm guided by class reconstruction.

Authors: Li L; State Key Laboratory of Networking and Switching Technology, Beijing, People's Republic of China.; Beijing Laboratory of Advanced Information Networks, Beijing, People's Republic of China.; Beijing University of Posts and Telecommunications, Beijing, People's Republic of China., Wei B; State Key Laboratory of Networking and Switching Technology, Beijing, People's Republic of China.; Beijing Laboratory of Advanced Information Networks, Beijing, People's Republic of China.; Beijing University of Posts and Telecommunications, Beijing, People's Republic of China.

Source: Journal of neural engineering [J Neural Eng] 2025 Aug 04; Vol. 22 (4). Date of Electronic Publication: 2025 Aug 04.

Publication Type: Journal Article

Journal Info: Publisher: Institute of Physics Pub Country of Publication: England NLM ID: 101217933 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-2552 (Electronic) Linking ISSN: 17412552 NLM ISO Abbreviation: J Neural Eng Subsets: MEDLINE

MeSH Terms: Electroencephalography*/methods , Electroencephalography*/classification , Algorithms* , Brain*/physiology, Humans ; Brain-Computer Interfaces ; Photic Stimulation/methods ; Adult ; Classification Algorithms

Predicting anaerobic digestion stability in load-flexible operation using gas phase indicators and classification algorithms.

Authors: Neubauer L; State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstraße 9, 70599 Stuttgart, Germany. Electronic address: leoni.neubauer@uni-hohenheim.de., Krümpel J; State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstraße 9, 70599 Stuttgart, Germany., Khan MT; State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstraße 9, 70599 Stuttgart, Germany., Lemmer A; State Institute of Agricultural Engineering and Bioenergy, University of Hohenheim, Garbenstraße 9, 70599 Stuttgart, Germany.

Source: Bioresource technology [Bioresour Technol] 2025 Aug; Vol. 429, pp. 132508. Date of Electronic Publication: 2025 Apr 08.

Publication Type: Journal Article

Journal Info: Publisher: Elsevier Applied Science Country of Publication: England NLM ID: 9889523 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2976 (Electronic) Linking ISSN: 09608524 NLM ISO Abbreviation: Bioresour Technol Subsets: MEDLINE

MeSH Terms: Gases*/analysis , Algorithms* , Biofuels*/analysis, Anaerobiosis ; Bioreactors/microbiology ; Methane/analysis ; Classification Algorithms

Machine learning models and classification algorithms in the diagnosis of vestibular migraine: A systematic review and meta-analysis.

Authors: Suarez-Barcena PD; Department of Otolaryngology, Hospital Universitario San Cecilio, Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain., Parra-Perez AM; Otology and Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.; Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, Madrid, Spain.; Division of Otolaryngology, Department of Surgery, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain., Martín-Lagos J; Department of Otolaryngology, Hospital Universitario San Cecilio, Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain.; Otology and Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.; Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, Madrid, Spain., Gallego-Martinez A; Otology and Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.; Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, Madrid, Spain.; Genome Biology Department, Centro Andaluz de Biología Molecular y Medicina Regenerativa (CABIMER), Consejo Superior de Investigaciones Científicas-Universidad de Sevilla-Universidad Pablo de Olavide (CSIC-USE-UPO), Av. Americo Vespucio, Seville, Spain., Lopez-Escámez JA; Otology and Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.; Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, Madrid, Spain.; Division of Otolaryngology, Department of Surgery, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.; Meniere's Disease Neuroscience Research Program, Faculty of Medicine and Health, School of Medical Sciences, The Kolling Institute, The University of Sydney, Sydney, New South Wales, Australia., Perez-Carpena P; Department of Otolaryngology, Hospital Universitario San Cecilio, Instituto de Investigación Biosanitaria, Ibs.GRANADA, Granada, Spain.; Otology and Neurotology Group CTS495, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.; Sensorineural Pathology Programme, Centro de Investigación Biomédica en Red en Enfermedades Raras, CIBERER, Madrid, Spain.; Division of Otolaryngology, Department of Surgery, Instituto de Investigación Biosanitaria, ibs.GRANADA, Universidad de Granada, Granada, Spain.

Source: Headache [Headache] 2025 Apr; Vol. 65 (4), pp. 695-708. Date of Electronic Publication: 2025 Mar 13.

Publication Type: Systematic Review; Journal Article; Meta-Analysis

Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 2985091R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1526-4610 (Electronic) Linking ISSN: 00178748 NLM ISO Abbreviation: Headache Subsets: MEDLINE

MeSH Terms: Machine Learning* , Migraine Disorders*/diagnosis , Vestibular Diseases*/diagnosis , Algorithms*, Humans ; Classification Algorithms

A game-theory-based method for retraining-free semantic enhancement in classification correction.

Authors: Hu, Lei¹ (AUTHOR), Xia, Yuhang¹ (AUTHOR), Hou, Jingrui² (AUTHOR), Hu, Qibiao³ (AUTHOR), Huang, Hao¹ (AUTHOR) haohuang@hubu.edu.cn, Yung, Kaileung⁴ (AUTHOR)

Source: Enterprise Information Systems. Nov2025, Vol. 19 Issue 11, p1-27. 27p.

Subject Terms: *GAME theory, CLASSIFICATION algorithms, CLASSIFICATION

Analysis of imbalanced data using cost-sensitive learning.

Authors: Kim, Sojin¹ (AUTHOR), Song, Jongwoo¹ (AUTHOR) josong@ewha.ac.kr

Source: Communications in Statistics: Theory & Methods. 2025, Vol. 54 Issue 22, p7286-7300. 15p.

Subject Terms: *COST, CLASSIFICATION algorithms, STATISTICAL accuracy, MACHINE learning

On the Use of Elbow Plot Method for Class Enumeration in Factor Mixture Models.

Authors: Sen, Sedat¹ (AUTHOR) sedatsen06@gmail.com, Cohen, Allan S.² (AUTHOR)

Source: Applied Psychological Measurement. Oct2025, Vol. 49 Issue 7, p379-395. 17p.

Subject Terms: *MATHEMATICAL statistics, *SIMULATION methods & models, *CLUSTER analysis (Statistics), FINITE mixture models (Statistics), CLASSIFICATION algorithms, STATISTICAL models

Enhancing Link Prediction Through Graph Attention Network and Linear Discriminant Analysis.

Authors: Ziya, Fatima¹ (AUTHOR), Kumar, Sanjay¹ (AUTHOR) sanjay.kumar@dtu.ac.in

Source: Expert Systems. Oct2025, Vol. 42 Issue 10, p1-18. 18p.

Subject Terms: GRAPH neural networks, CLASSIFICATION algorithms, COMMUNICATION network analysis, GRAPH connectivity, REPRESENTATIONS of graphs, SOCIAL network analysis, FISHER discriminant analysis

Enhanced Algorithm for Myanmar Syllable Normalization in Poetic Text Classification

Authors: Latt, Khaing Su, Khaing, Myo

Source: 2025 6th International Conference on Advanced Information Technologies (ICAIT) Advanced Information Technologies (ICAIT), 2025 6th International Conference on. :1-6 Nov, 2025

Relation: 2025 6th International Conference on Advanced Information Technologies (ICAIT)