Viswadeep Sarangi, PhD - Related publications

Affiliations: 
2017-2020 Electronic Engineering University of York, York, England, United Kingdom 
Area:
Machine learning, clinical movement analysis, biomimetic models
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50 most relevant papers in past 60 days:
Year Citation  Score
2021 Guan Y, Wang N, Yang C. An Improvement of Robot Stiffness-Adaptive Skill Primitive Generalization Using the Surface Electromyography in Human-Robot Collaboration. Frontiers in Neuroscience. 15: 694914. PMID 34594181 DOI: 10.3389/fnins.2021.694914   
2021 Gao Y, Ascoli GA, Zhao L. Schematic memory persistence and transience for efficient and robust continual learning. Neural Networks : the Official Journal of the International Neural Network Society. 144: 49-60. PMID 34450446 DOI: 10.1016/j.neunet.2021.08.011   
2021 Greener JG, Kandathil SM, Moffat L, Jones DT. A guide to machine learning for biologists. Nature Reviews. Molecular Cell Biology. PMID 34518686 DOI: 10.1038/s41580-021-00407-0   
2021 Ozcan A, Catal C, Donmez E, Senturk B. A hybrid DNN-LSTM model for detecting phishing URLs. Neural Computing & Applications. 1-17. PMID 34393380 DOI: 10.1007/s00521-021-06401-z   
2021 Sense F, Wood R, Collins MG, Fiechter J, Wood A, Krusmark M, Jastrzembski T, Myers CW. Cognition-Enhanced Machine Learning for Better Predictions with Limited Data. Topics in Cognitive Science. PMID 34529347 DOI: 10.1111/tops.12574   
2021 Gao X, Yan L, Wang G, Gerada C. Hybrid Recurrent Neural Network Architecture-Based Intention Recognition for Human-Robot Collaboration. Ieee Transactions On Cybernetics. PMID 34637387 DOI: 10.1109/TCYB.2021.3106543   
2021 Akbari A, Martinez J, Jafari R. A Meta-Learning Approach for Fast Personalization of Modality Translation Models in Wearable Physiological Sensing. Ieee Journal of Biomedical and Health Informatics. PMID 34398767 DOI: 10.1109/JBHI.2021.3105055   
2021 Huang L, Ling C. Leveraging Transfer Learning and Chemical Principles toward Interpretable Materials Properties. Journal of Chemical Information and Modeling. PMID 34435765 DOI: 10.1021/acs.jcim.1c00434   
2021 Kim H, Kim HJ, Park J, Ryu JK, Kim SC. Recognition of Fine-Grained Walking Patterns Using a Smartwatch with Deep Attentive Neural Networks. Sensors (Basel, Switzerland). 21. PMID 34640712 DOI: 10.3390/s21196393   
2021 Guo LL, Pfohl SR, Fries J, Posada J, Fleming SL, Aftandilian C, Shah N, Sung L. Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine. Applied Clinical Informatics. 12: 808-815. PMID 34470057 DOI: 10.1055/s-0041-1735184   
2021 Wang L, Lei B, Li Q, Su H, Zhu J, Zhong Y. Triple-Memory Networks: A Brain-Inspired Method for Continual Learning. Ieee Transactions On Neural Networks and Learning Systems. PMID 34529579 DOI: 10.1109/TNNLS.2021.3111019   
2021 Krishnamurthy S, Srinivasan K, Qaisar SM, Vincent PMDR, Chang CY. Evaluating Deep Neural Network Architectures with Transfer Learning for Pneumonitis Diagnosis. Computational and Mathematical Methods in Medicine. 2021: 8036304. PMID 34552660 DOI: 10.1155/2021/8036304   
2021 Li J, Zhang C, Wang L, Ding P, Hu L, Yan B, Tong L. A Visual Encoding Model Based on Contrastive Self-Supervised Learning for Human Brain Activity along the Ventral Visual Stream. Brain Sciences. 11. PMID 34439623 DOI: 10.3390/brainsci11081004   
2021 Qi Y, Yang L, Liu B, Liu L, Liu Y, Zheng Q, Liu D, Luo J. Highly accurate diagnosis of lung adenocarcinoma and squamous cell carcinoma tissues by deep learning. Spectrochimica Acta. Part a, Molecular and Biomolecular Spectroscopy. 265: 120400. PMID 34547683 DOI: 10.1016/j.saa.2021.120400   
2021 Nakandala S, Jankowska MM, Tuz-Zahra F, Bellettiere J, Carlson JA, LaCroix AZ, Hartman SJ, Rosenberg DE, Zou J, Kumar A, Natarajan L. Application of Convolutional Neural Network Algorithms for Advancing Sedentary and Activity Bout Classification. Journal For the Measurement of Physical Behaviour. 4: 102-110. PMID 34458688 DOI: 10.1123/jmpb.2020-0016   
2021 Zhang Z, Mondal S, Mandal S, Allred JM, Aghamiri NA, Fali A, Zhang Z, Zhou H, Cao H, Rodolakis F, McChesney JL, Wang Q, Sun Y, Abate Y, Roy K, et al. Neuromorphic learning with Mott insulator NiO. Proceedings of the National Academy of Sciences of the United States of America. 118. PMID 34531299 DOI: 10.1073/pnas.2017239118   
2021 Ioannidou C, Busquets-Garcia A, Ferreira G, Marsicano G. Neural Substrates of Incidental Associations and Mediated Learning: The Role of Cannabinoid Receptors. Frontiers in Behavioral Neuroscience. 15: 722796. PMID 34421557 DOI: 10.3389/fnbeh.2021.722796   
2021 Zheng C, Pan L, Wu P. Attribute Augmented Network Embedding Based on Generative Adversarial Nets. Ieee Transactions On Neural Networks and Learning Systems. PMID 34623283 DOI: 10.1109/TNNLS.2021.3116419   
2021 Boto T, Ramaswami M. Learning and memory: Clashing engrams in the fly brain. Current Biology : Cb. 31: R1009-R1011. PMID 34428410 DOI: 10.1016/j.cub.2021.06.071   
2021 Sarker IH. Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions. Sn Computer Science. 2: 420. PMID 34426802 DOI: 10.1007/s42979-021-00815-1   
2021 Adeoye J, Tan JY, Choi SW, Thomson P. Prediction models applying machine learning to oral cavity cancer outcomes: A systematic review. International Journal of Medical Informatics. 154: 104557. PMID 34455119 DOI: 10.1016/j.ijmedinf.2021.104557   
2021 Zhang J, Liu T, Tao D. An Optimal Transport Analysis on Generalization in Deep Learning. Ieee Transactions On Neural Networks and Learning Systems. PMID 34554918 DOI: 10.1109/TNNLS.2021.3109942   
2021 Russo S, Besmer MD, Blumensaat F, Bouffard D, Disch A, Hammes F, Hess A, Lürig M, Matthews B, Minaudo C, Morgenroth E, Tran-Khac V, Villez K. The value of human data annotation for machine learning based anomaly detection in environmental systems. Water Research. 206: 117695. PMID 34626884 DOI: 10.1016/j.watres.2021.117695   
2021 Ning Z, Lin Z, Xiao Q, Du D, Feng Q, Chen W, Zhang Y. Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data. Ieee Transactions On Neural Networks and Learning Systems. PMID 34596560 DOI: 10.1109/TNNLS.2021.3112194   
2021 Ye F, Bors AG. Lifelong Mixture of Variational Autoencoders. Ieee Transactions On Neural Networks and Learning Systems. PMID 34370670 DOI: 10.1109/TNNLS.2021.3096457   
2021 Daniels J, Herrero P, Georgiou P. A Multitask Learning Approach to Personalised Blood Glucose Prediction. Ieee Journal of Biomedical and Health Informatics. PMID 34314367 DOI: 10.1109/JBHI.2021.3100558   
2021 O'Reilly RC, Russin JL, Zolfaghar M, Rohrlich J. Deep Predictive Learning in Neocortex and Pulvinar. Journal of Cognitive Neuroscience. 33: 1158-1196. PMID 34428793 DOI: 10.1162/jocn_a_01708   
2021 Roscow EL, Chua R, Costa RP, Jones MW, Lepora N. Learning offline: memory replay in biological and artificial reinforcement learning. Trends in Neurosciences. PMID 34481635 DOI: 10.1016/j.tins.2021.07.007   
2021 Zhang T, Schoene AM, Ananiadou S. Automatic identification of suicide notes with a transformer-based deep learning model. Internet Interventions. 25: 100422. PMID 34401381 DOI: 10.1016/j.invent.2021.100422   
2021 Nguyen NH, Picetti D, Dulai PS, Jairath V, Sandborn WJ, Ohno-Machado L, Chen PL, Singh S. Machine Learning-based Prediction Models for Diagnosis and Prognosis in Inflammatory Bowel Diseases: A Systematic Review. Journal of Crohn's & Colitis. PMID 34492100 DOI: 10.1093/ecco-jcc/jjab155   
2021 Bhat AA, Spencer JP, Samuelson LK. Word-Object Learning via Visual Exploration in Space (WOLVES): A neural process model of cross-situational word learning. Psychological Review. PMID 34435790 DOI: 10.1037/rev0000313   
2021 Seo H, Hwang J, Jeong T, Shin J. Comparison of Deep Learning Models for Cervical Vertebral Maturation Stage Classification on Lateral Cephalometric Radiographs. Journal of Clinical Medicine. 10. PMID 34441887 DOI: 10.3390/jcm10163591   
2021 Hong S, Chae J. Distributed Online Learning With Multiple Kernels. Ieee Transactions On Neural Networks and Learning Systems. PMID 34424849 DOI: 10.1109/TNNLS.2021.3105146   
2021 Wu A, Wang Y, Zhou M, He X, Zhang H, Qu H, Zhang D. MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation. Ieee Transactions On Visualization and Computer Graphics. PMID 34587058 DOI: 10.1109/TVCG.2021.3114826   
2021 Russin J, Zolfaghar M, Park SA, Boorman E, O'Reilly RC. Complementary Structure-Learning Neural Networks for Relational Reasoning. Cogsci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference. 2021: 1560-1566. PMID 34617073   
2021 Gupta MW, Pan SC, Rickard TC. Prior episodic learning and the efficacy of retrieval practice. Memory & Cognition. PMID 34545540 DOI: 10.3758/s13421-021-01236-4   
2021 Li Y, Pan Y. A novel ensemble deep learning model for stock prediction based on stock prices and news. International Journal of Data Science and Analytics. 1-11. PMID 34549080 DOI: 10.1007/s41060-021-00279-9   
2021 Azimi SA, Afarideh H, Chai JS, Kalinowski M, Gheddou A, Hofman R. Classification of radioxenon spectra with deep learning algorithm. Journal of Environmental Radioactivity. 237: 106718. PMID 34425549 DOI: 10.1016/j.jenvrad.2021.106718   
2021 Kim M. The generalized extreme learning machines: Tuning hyperparameters and limiting approach for the Moore-Penrose generalized inverse. Neural Networks : the Official Journal of the International Neural Network Society. 144: 591-602. PMID 34634606 DOI: 10.1016/j.neunet.2021.09.008   
2021 Chahar S, Roy PK. COVID-19: A Comprehensive Review of Learning Models. Archives of Computational Methods in Engineering : State of the Art Reviews. 1-26. PMID 34566404 DOI: 10.1007/s11831-021-09641-3   
2021 Mansour RF, Escorcia-Gutierrez J, Gamarra M, Gupta D, Castillo O, Kumar S. Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification. Pattern Recognition Letters. 151: 267-274. PMID 34566223 DOI: 10.1016/j.patrec.2021.08.018   
2021 Strobelt H, Kinley J, Krueger R, Beyer J, Pfister H, Rush AM. GenNI: Human-AI Collaboration for Data-Backed Text Generation. Ieee Transactions On Visualization and Computer Graphics. PMID 34587072 DOI: 10.1109/TVCG.2021.3114845   
2021 Chakraborty P, Codella J, Madan P, Li Y, Huang H, Park Y, Yan C, Zhang Z, Gao C, Nyemba S, Min X, Basak S, Ghalwash M, Shahn Z, Suryanarayanan P, et al. Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge. Amia ... Annual Symposium Proceedings. Amia Symposium. 2021: 132-141. PMID 34457127   
2021 Ho ACH, Liao C, Lu J, Shan Z, Gu M, Bridges SM, Yang Y. 3-Dimensional simulations and student learning in orthodontic education. European Journal of Dental Education : Official Journal of the Association For Dental Education in Europe. PMID 34528742 DOI: 10.1111/eje.12718   
2021 Qi G, Hu G, Wang X, Mazur N, Zhu Z, Haner M. EXAM: A Framework of Learning Extreme and Moderate Embeddings for Person Re-ID. Journal of Imaging. 7. PMID 34460577 DOI: 10.3390/jimaging7010006   
2021 Ahn Y, Hwang JJ, Jung YH, Jeong T, Shin J. Automated Mesiodens Classification System Using Deep Learning on Panoramic Radiographs of Children. Diagnostics (Basel, Switzerland). 11. PMID 34441411 DOI: 10.3390/diagnostics11081477   
2021 Wu L, Pan M. English Grammar Detection Based on LSTM-CRF Machine Learning Model. Computational Intelligence and Neuroscience. 2021: 8545686. PMID 34456995 DOI: 10.1155/2021/8545686   
2021 Naseem M, Arshad H, Hashimi SA, Irfan F, Ahmed FS. Predicting mortality in SARS-COV-2 (COVID-19) positive patients in the inpatient setting using a novel deep neural network. International Journal of Medical Informatics. 154: 104556. PMID 34455118 DOI: 10.1016/j.ijmedinf.2021.104556   
2021 Knolle M, Kaissis G, Jungmann F, Ziegelmayer S, Sasse D, Makowski M, Rueckert D, Braren R. Efficient, high-performance semantic segmentation using multi-scale feature extraction. Plos One. 16: e0255397. PMID 34411138 DOI: 10.1371/journal.pone.0255397   
2021 Boudreaux ED, Rundensteiner E, Liu F, Wang B, Larkin C, Agu E, Ghosh S, Semeter J, Simon G, Davis-Martin RE. Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions. Frontiers in Psychiatry. 12: 707916. PMID 34413800 DOI: 10.3389/fpsyt.2021.707916