Search Results - Active Learning in Machine Learning Research

Clinical and economic effectiveness of Schroth therapy in adolescent idiopathic scoliosis: insights from a machine learning- and active learning-based real-world study

Authors: Ayvaz, Erdal Yıldız, Zafer Ayvaz, Ednan et al.

Source: J Orthop Surg Res
Journal of Orthopaedic Surgery and Research, Vol 20, Iss 1, Pp 1-15 (2025)

Subject Terms: Orthopedic surgery, Active learning, RC925-935, Research, Machine learning, Schroth therapy, Cost-effectiveness, Diseases of the musculoskeletal system, Non-surgical treatment, RD701-811, Adolescent idiopathic scoliosis

Access URL: https://doaj.org/article/5db6298c2fad4dd78c437ac9ca91e539
https://avesis.kocaeli.edu.tr/publication/details/00435366-a5cc-4acc-be1d-2e4051f13c32/oai

[Research on intelligent fetal heart monitoring model based on deep active learning]

Authors: Bin, Quan Yajing, Huang Yanfang, Li et al.

Source: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. 42(1)

Subject Terms: Deep Learning, Cardiotocography, Pregnancy, Humans, Female, Neural Networks, Computer, Heart Rate, Fetal, Fetal Monitoring, Algorithms, Fetal Distress

Access URL: https://pubmed.ncbi.nlm.nih.gov/40000176

Undergraduate Cross-Class Research Projects for Deep Learning in Engineering Education

Authors: Karkoub, Mansour Yang, Chun-Lin Karkoub, Wael et al.

Source: Advances in Engineering Education. Sum 2020 8(2).

Peer Reviewed: Y

Page Count: 28

Descriptors: Engineering Education, Learning Processes, Higher Education, Teaching Methods, Instructional Innovation, Undergraduate Students, Mentors, Peer Relationship, Cross Cultural Studies, Student Projects, Active Learning, Foreign Countries, Self Evaluation (Individuals), Outcomes of Education, Competence, Student Evaluation, Goal Orientation, Experiential Learning, Cognitive Style, Program Descriptions, Teamwork

Geographic Terms: Qatar, Texas

Research on classification method of high myopic maculopathy based on retinal fundus images and optimized ALFA-Mix active learning algorithm

Authors: Shao-Jun Zhu Hao-Dong Zhan Mao-Nian Wu et al.

Source: International Journal of Ophthalmology, Vol 16, Iss 7, Pp 995-1004 (2023)

Subject Terms: Ophthalmology, active learning, high myopic maculopathy, deep learning, RE1-994, image classification, alfa-mix algorithm

Access URL: https://pubmed.ncbi.nlm.nih.gov/37465510
https://doaj.org/article/9585f14be33548dab6fca5ab85c8d980

Introducing and Integrating Machine Learning in an Operations Research Curriculum: An Application-Driven Course

Authors: Boutilier, Justin J. Chan, Timothy C. Y.

Source: INFORMS Transactions on Education. Jan 2023 23(2):64-83.

Peer Reviewed: Y

Page Count: 20

Descriptors: Artificial Intelligence, Operations Research, Undergraduate Students, Engineering Education, Active Learning, Data Analysis, Course Objectives, Foreign Countries, Student Evaluation

Geographic Terms: Canada, Wisconsin (Madison)

Unveiling the unexpected sinking and embedding dynamics of surface supported Mo/S clusters on 2D MoS2 with active machine learning

Authors: Luneng Zhao Yanhan Ren Xiaoran Shi et al.

Source: Smart Mol
Smart Molecules, Vol 3, Iss 1, Pp n/a-n/a (2025)

Subject Terms: Chemistry, active learning, surface‐supported clusters, 02 engineering and technology, 0210 nano-technology, Monte Carlo, QD1-999, 01 natural sciences, machine learning potential, Research Article, 0104 chemical sciences

Access URL: https://doaj.org/article/d47ce95a83d64a0fa41b1568f922090f

Enhancing diabetes risk prediction through focal active learning and machine learning models

Authors: Wangyouchen Zhang Zhenhua Xia Guoqing Cai et al.

Source: PLoS One
PLoS ONE, Vol 20, Iss 7, p e0327120 (2025)
PLoS ONE, Vol 20, Iss 7 (2025)

Subject Terms: Science, Medicine, Research Article

Access URL: https://doaj.org/article/55ace4852ef448889e4f5bc12d53ea7d
https://doaj.org/article/97f5e652bbd64894a0a788443aa13857

Active Learning Based on Deep Learning: A Critical Review of The Role and Readiness of Islamic Religious Education Teachers

Authors: null Elvy Gustina null Silfia Hanani null Zulfani Sesmiarni

Source: International Journal of Islamic Educational Research. 2:54-60

Deep learning model for pleural effusion detection via active learning and pseudo-labeling: a multisite study

Authors: Joseph Chang Bo-Ru Lin Ti-Hao Wang et al.

Source: BMC Med Imaging
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-10 (2024)

Subject Terms: Chest radiographs, Active learning, Research, Deep learning, Pleural effusion, 3. Good health, Radiography, Pleural Effusion, 03 medical and health sciences, Deep Learning, 0302 clinical medicine, X-rays, Medical technology, Humans, Radiography, Thoracic, R855-855.5, Retrospective Studies

Access URL: https://pubmed.ncbi.nlm.nih.gov/38641591
https://doaj.org/article/701c1508a6f74addb430aef674215562

Research on Cu-Sn machine learning interatomic potential with active learning strategy

Authors: Jinyan Liu Guanghao Zhang Jianyong Wang et al.

Source: Computational Materials Science. 246:113450

Finding the most potent compounds using active learning on molecular pairs

Authors: Zachary Fralish Daniel Reker

Source: Beilstein J Org Chem
Beilstein Journal of Organic Chemistry, Vol 20, Iss 1, Pp 2152-2162 (2024)

Subject Terms: 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, machine learning, QD241-441, drug design, active learning, potency predictions, Science, molecular optimization, Organic chemistry, Full Research Paper

Access URL: https://pubmed.ncbi.nlm.nih.gov/39224230
https://doaj.org/article/56a14ea3acea4fdfa03c71281f539b84

Efficient annotation reduction with active learning for computer vision-based Retail Product Recognition

Authors: Griffioen, Niels Rankovic, Nevena Zamberlan, Federico et al.

Source: Journal of computational social science

Subject Terms: Artificial intelligence, Active learning, 4609 Information systems, Semi-Supervised Learning, Annotation, Social Sciences, Active Learning, 02 engineering and technology, International trade, Fabric Defect Detection in Industrial Applications, Quantum mechanics, 7. Clean energy, Annotation effort, Industrial and Manufacturing Engineering, Learning with Noisy Labels in Machine Learning, 12. Responsible consumption, Engineering, Deep Learning, Sociology, Artificial Intelligence, Meta-Learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Entropy (arrow of time), Business, Retail image analysis, Active Learning in Machine Learning Research, 4701 Communication and media studies, Physics, 4. Education, Retraining, 4410 Sociology, Social Sciences, Mathematical Methods, Active learning (machine learning), 15. Life on land, Computer science, Algorithm, Computer Science, Physical Sciences, Instance segmentation, Mathematics, Mathematical Methods In Social Sciences, Robust Learning

Access URL: https://research.tilburguniversity.edu/en/publications/544d20d5-2b8e-4483-b9dd-b2be4d161c17
https://doi.org/10.1007/s42001-024-00266-7
https://lirias.kuleuven.be/handle/20.500.12942/744482
https://doi.org/10.1007/s42001-024-00266-7
https://repository.uantwerpen.be/docstore/d:irua:23253
https://hdl.handle.net/10067/2054360151162165141

An active machine learning framework for automatic boxing punch recognition and classification using upper limb kinematics

Authors: Saravanan Manoharan John Warburton Ravi Sadananda Hegde et al.

Source: PLoS One

Subject Terms: Upper Extremity, Machine Learning, Wearable Electronic Devices, Video Recording, Humans, Supervised Machine Learning, Research Article, Biomechanical Phenomena

Access URL: https://pubmed.ncbi.nlm.nih.gov/40338954

Learning the performance of e-learning business processes through process mining.

Authors: Sahli, Amel Mejri, Asma Ghannouchi, Sonia Ayachi

Source: Procedia Computer Science. 2025, Vol. 270, p3401-3410. 10p.

Subject Terms: Process mining, Machine learning, Active learning, Digital learning, Teaching methods, Operations research, Workflow

Research and Analysis of Predictive Models for Diabetes Mellitus Using Machine Learning: Active Learning vs. Random Sampling

Authors: Chentao Ye

Source: Proceedings of the 2nd International Symposium on Artificial Intelligence for Medicine Sciences. :142-146

Subject Terms: 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://dl.acm.org/doi/pdf/10.1145/3500931.3500957

Stimulating Deep Learning Using Active Learning Techniques

Authors: Yew, Tee Meng Dawood, Fauziah K. P. a/p S. Narayansany, Kannaki et al.

Source: Malaysian Online Journal of Educational Sciences. 2016 4(3):49-57.

Peer Reviewed: Y

Page Count: 9

Descriptors: College Faculty, Communities of Practice, Action Research, Active Learning, Learning Strategies, Student Centered Learning, Role Playing, Debate, College Students, Case Studies, Vignettes, Questionnaires, Learning Activities, Learning Processes, Teaching Methods, Group Discussion, Foreign Countries

Geographic Terms: Malaysia

Assessment and Survey Identifiers: Study Process Questionnaire

Research on the Intelligent Development Path of Civic Education Theory System in the New Era Based on Deep Learning.

Authors: Yuan, Na

Source: Journal of Combinatorial Mathematics & Combinatorial Computing; Dec2025, Vol. 127a, p1934-1948, 15p

Subject Terms: QUESTIONNAIRES, DEEP learning, POLITICAL science, CIVICS education, UNIVERSITIES & colleges

Concept Maps in Undergraduate Pharmacology Education: A Systematic Review of Their Impact on Deep Learning, Academic Performance and Student Perceptions.

Authors: BENNI, JYOTI M. NADAF, RESHMA TUBAKI, BASAVARAJ R.

Source: Journal of Clinical & Diagnostic Research; Oct2025, Vol. 19 Issue 10, p1-7, 7p

Subject Terms: CONCEPT mapping, DEEP learning, PHARMACOLOGISTS, CRITICAL thinking, ACADEMIC achievement, ACTIVE learning, MEDICAL education, PSYCHOLOGY of students

Geographic Terms: INDIA

The effectiveness of PjBL-STEM learning models in improving High school students' deep learning skills in Artificial Intelligence topics.

Authors: Prihatin, Relly Sukmawati, Fatma Santosa, Eka Budhi et al.

Source: International Journal of Innovative Research & Scientific Studies; 2025, Vol. 8 Issue 4, p484-490, 7p

Subject Terms: ARTIFICIAL intelligence, DEEP learning, CRITICAL thinking, HIGH school students, TEACHING methods

Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research—Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes

Authors: Paul Bodesheim Jan Blunk Matthias Körschens et al.

Source: Mammalian Biology. 102:875-897

Subject Terms: 0106 biological sciences, Active learning, Lifelong learning, Attribute prediction, 4. Education, Deep learning, Human-in-the-loop, 02 engineering and technology, 15. Life on land, 01 natural sciences, Animal re-identification, Continuous learning, 0202 electrical engineering, electronic engineering, information engineering, Neural networks