Soniya Gadgil, Ph.D. - Related publications

Affiliations: 
2014 University of Pittsburgh, Pittsburgh, PA, United States 
Area:
Cognitive Psychology, Educational Psychology Education
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22 most relevant papers in past 60 days:
Year Citation  Score
2022 Hoppe DB, Hendriks P, Ramscar M, van Rij J. An exploration of error-driven learning in simple two-layer networks from a discriminative learning perspective. Behavior Research Methods. PMID 35032022 DOI: 10.3758/s13428-021-01711-5   
2022 Langdon A, Botvinick M, Nakahara H, Tanaka K, Matsumoto M, Kanai R. Meta-learning, social cognition and consciousness in brains and machines. Neural Networks : the Official Journal of the International Neural Network Society. 145: 80-89. PMID 34735893 DOI: 10.1016/j.neunet.2021.10.004   
2022 Abirami RS, Kumar GS. Comparative Study Based on Analysis of Coronavirus Disease (COVID-19) Detection and Prediction Using Machine Learning Models. Sn Computer Science. 3: 79. PMID 34841267 DOI: 10.1007/s42979-021-00965-2   
2022 Ballouk R, Mansour V, Dalziel B, Hegazi I. The development and validation of a questionnaire to explore medical students' learning in a blended learning environment. Bmc Medical Education. 22: 4. PMID 34980084 DOI: 10.1186/s12909-021-03045-4   
2022 Andaur Navarro CL, Damen JAA, Takada T, Nijman SWJ, Dhiman P, Ma J, Collins GS, Bajpai R, Riley RD, Moons KGM, Hooft L. Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review. Bmc Medical Research Methodology. 22: 12. PMID 35026997 DOI: 10.1186/s12874-021-01469-6   
2022 Wu Y, Zhao R, Zhu J, Chen F, Xu M, Li G, Song S, Deng L, Wang G, Zheng H, Ma S, Pei J, Zhang Y, Zhao M, Shi L. Brain-inspired global-local learning incorporated with neuromorphic computing. Nature Communications. 13: 65. PMID 35013198 DOI: 10.1038/s41467-021-27653-2   
2022 de Boer B, Kudina O. What is morally at stake when using algorithms to make medical diagnoses? Expanding the discussion beyond risks and harms. Theoretical Medicine and Bioethics. PMID 34978638 DOI: 10.1007/s11017-021-09553-0   
2022 Newton MAH, Mataeimoghadam F, Zaman R, Sattar A. Secondary structure specific simpler prediction models for protein backbone angles. Bmc Bioinformatics. 23: 6. PMID 34983370 DOI: 10.1186/s12859-021-04525-6   
2022 Lin C, Wang L, Shi L. AAPred-CNN: accurate predictor based on deep convolution neural network for identification of anti-angiogenic peptides. Methods (San Diego, Calif.). PMID 35031486 DOI: 10.1016/j.ymeth.2022.01.004   
2022 Liakoni V, Lehmann MP, Modirshanechi A, Brea J, Lutti A, Gerstner W, Preuschoff K. Brain signals of a Surprise-Actor-Critic model: Evidence for multiple learning modules in human decision making. Neuroimage. 246: 118780. PMID 34875383 DOI: 10.1016/j.neuroimage.2021.118780   
2022 Roark CL, Plaut DC, Holt LL. A neural network model of the effect of prior experience with regularities on subsequent category learning. Cognition. 222: 104997. PMID 35007885 DOI: 10.1016/j.cognition.2021.104997   
2022 Ohtsuki H, Ujiyama S. Impact of social dominance on the evolution of individual learning. Journal of Theoretical Biology. 535: 110986. PMID 34953869 DOI: 10.1016/j.jtbi.2021.110986   
2022 Liquin EG, Lombrozo T. Motivated to learn: An account of explanatory satisfaction. Cognitive Psychology. 132: 101453. PMID 34875484 DOI: 10.1016/j.cogpsych.2021.101453   
2022 Zhang K, Song X, Zhang C, Yu S. Challenges and future directions of secure federated learning: a survey. Frontiers of Computer Science. 16: 165817. PMID 34909232 DOI: 10.1007/s11704-021-0598-z   
2022 Deng HF, Sun MW, Wang Y, Zeng J, Yuan T, Li T, Li DH, Chen W, Zhou P, Wang Q, Jiang H. Evaluating machine learning models for sepsis prediction: A systematic review of methodologies. Iscience. 25: 103651. PMID 35028534 DOI: 10.1016/j.isci.2021.103651   
2022 Bogaerts L, Siegelman N, Christiansen MH, Frost R. Is there such a thing as a 'good statistical learner'? Trends in Cognitive Sciences. 26: 25-37. PMID 34810076 DOI: 10.1016/j.tics.2021.10.012   
2022 Liu Z, Zhu Z, Zheng S, Liu Y, Zhou J, Zhao Y. Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation. Ieee Journal of Biomedical and Health Informatics. PMID 34990372 DOI: 10.1109/JBHI.2022.3140853   
2022 Hevia FJ, Vergara-Lope S, Velásquez-Durán A, Calderón D. Estimation of the fundamental learning loss and learning poverty related to COVID-19 pandemic in Mexico. International Journal of Educational Development. 88: 102515. PMID 34812219 DOI: 10.1016/j.ijedudev.2021.102515   
2022 de Kleijn R, Sen D, Kachergis G. A Critical Period for Robust Curriculum-Based Deep Reinforcement Learning of Sequential Action in a Robot Arm. Topics in Cognitive Science. PMID 35005844 DOI: 10.1111/tops.12595   
2022 Lv Y, Lin L, Liu J, Guo H, Tong C. Research on Imbalanced Data Classification Based on Classroom-Like Generative Adversarial Networks. Neural Computation. 1-29. PMID 35016200 DOI: 10.1162/neco_a_01470   
2022 Yang G, Ye Q, Xia J. Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond. An International Journal On Information Fusion. 77: 29-52. PMID 34980946 DOI: 10.1016/j.inffus.2021.07.016   
2022 Algiriyage N, Prasanna R, Stock K, Doyle EEH, Johnston D. Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review. Sn Computer Science. 3: 92. PMID 34870241 DOI: 10.1007/s42979-021-00971-4