Thomas Recchia, Ph.D. - Related publications

Affiliations: 
2013 Mechanical Engineer Stevens Institute of Technology 
Area:
Mechanical Engineering, Robotics Engineering
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50 most relevant papers in past 60 days:
Year Citation  Score
2020 Chen J, Wu T, Shi M, Jiang W. PORF-DDPG: Learning Personalized Autonomous Driving Behavior with Progressively Optimized Reward Function. Sensors (Basel, Switzerland). 20. PMID 33019643 DOI: 10.3390/s20195626   
2020 Yu J, Su Y, Liao Y. The Path Planning of Mobile Robot by Neural Networks and Hierarchical Reinforcement Learning. Frontiers in Neurorobotics. 14: 63. PMID 33132890 DOI: 10.3389/fnbot.2020.00063   
2020 Goris J, Silvetti M, Verguts T, Wiersema JR, Brass M, Braem S. Autistic traits are related to worse performance in a volatile reward learning task despite adaptive learning rates. Autism : the International Journal of Research and Practice. 1362361320962237. PMID 33030041 DOI: 10.1177/1362361320962237   
2020 Zhang Z, Wang D, Gao J. Learning Automata-Based Multiagent Reinforcement Learning for Optimization of Cooperative Tasks. Ieee Transactions On Neural Networks and Learning Systems. PMID 33027003 DOI: 10.1109/TNNLS.2020.3025711   
2020 Jara-Rizzo MF, Navas JF, Rodas JA, Perales JC. Decision-making inflexibility in a reversal learning task is associated with severity of problem gambling symptoms but not with a diagnosis of substance use disorder. Bmc Psychology. 8: 120. PMID 33168098 DOI: 10.1186/s40359-020-00482-6   
2020 Luo G, Zhang H, He H, Li J, Wang FY. Multiagent Adversarial Collaborative Learning via Mean-Field Theory. Ieee Transactions On Cybernetics. PMID 33095725 DOI: 10.1109/TCYB.2020.3025491   
2020 Malialis K, Panayiotou CG, Polycarpou MM. Online Learning With Adaptive Rebalancing in Nonstationary Environments. Ieee Transactions On Neural Networks and Learning Systems. PMID 32960769 DOI: 10.1109/TNNLS.2020.3017863   
2020 Liu Z, Zhang Y, Ma D, Xu Q, Seger CA. Differing effects of gain and loss feedback on rule-based and information-integration category learning. Psychonomic Bulletin & Review. PMID 33006121 DOI: 10.3758/s13423-020-01816-6   
2020 McDonald AD, Ade N, Peres SC. Predicting Procedure Step Performance From Operator and Text Features: A Critical First Step Toward Machine Learning-Driven Procedure Design. Human Factors. 18720820958588. PMID 32988239 DOI: 10.1177/0018720820958588   
2020 McDonald AD, Ade N, Peres SC. Predicting Procedure Step Performance From Operator and Text Features: A Critical First Step Toward Machine Learning-Driven Procedure Design. Human Factors. 18720820958588. PMID 32988239 DOI: 10.1177/0018720820958588   
2020 Soltani A. Learning from Others, but with What Confidence? Trends in Cognitive Sciences. PMID 33071160 DOI: 10.1016/j.tics.2020.09.011   
2020 Rezaei M, Shahidi M. Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review. Intelligence-Based Medicine. 100005. PMID 33043311 DOI: 10.1016/j.ibmed.2020.100005   
2020 Majchrowicz B, Kulakova E, Di Costa S, Haggard P. Learning from informative losses boosts the sense of agency. Quarterly Journal of Experimental Psychology (2006). 1747021820958258. PMID 32972317 DOI: 10.1177/1747021820958258   
2020 Fu J, Teng X, Cao C, Ju Z, Lou P. Robot Motor Skill Transfer With Alternate Learning in Two Spaces. Ieee Transactions On Neural Networks and Learning Systems. PMID 32970599 DOI: 10.1109/TNNLS.2020.3021530   
2020 Deng C, Ji X, Rainey C, Zhang J, Lu W. Integrating Machine Learning with Human Knowledge. Iscience. 23: 101656. PMID 33134890 DOI: 10.1016/j.isci.2020.101656   
2020 Di C, Liang Q, Li F, Li S, Luo F. An Efficient Parameter-Free Learning Automaton Scheme. Ieee Transactions On Neural Networks and Learning Systems. PMID 33017293 DOI: 10.1109/TNNLS.2020.3025937   
2020 Hancock JT, Khoshgoftaar TM. CatBoost for big data: an interdisciplinary review. Journal of Big Data. 7: 94. PMID 33169094 DOI: 10.1186/s40537-020-00369-8   
2020 Lin CW, Ruan SJ, Hsu WC, Tu YW, Han SL. Optimizing the Sensor Placement for Foot Plantar Center of Pressure without Prior Knowledge Using Deep Reinforcement Learning. Sensors (Basel, Switzerland). 20. PMID 33003510 DOI: 10.3390/s20195588   
2020 Lin CW, Ruan SJ, Hsu WC, Tu YW, Han SL. Optimizing the Sensor Placement for Foot Plantar Center of Pressure without Prior Knowledge Using Deep Reinforcement Learning. Sensors (Basel, Switzerland). 20. PMID 33003510 DOI: 10.3390/s20195588   
2020 Zukotynski K, Gaudet V, Uribe CF, Mathotaarachchi S, Smith KC, Rosa-Neto P, Benard F, Black SE. Machine Learning in Nuclear Medicine: Part 2-Neural Networks and Clinical Aspects. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine. PMID 32978286 DOI: 10.2967/jnumed.119.231837   
2020 Hayes WM, Wedell DH. Autonomic Responses to Choice Outcomes: Links to Task Performance and Reinforcement-Learning Parameters. Biological Psychology. 107968. PMID 33027684 DOI: 10.1016/j.biopsycho.2020.107968   
2020 Benda NC, Kellogg KM, Hoffman DJ, Fairbanks RJ, Auguste T. Lessons Learned From an Evaluation of Serious Gaming as an Alternative to Mannequin-Based Simulation Technology: Randomized Controlled Trial. Jmir Serious Games. 8: e21123. PMID 32985993 DOI: 10.2196/21123   
2020 Li H, Zhang L. A Bilevel Learning Model and Algorithm for Self-Organizing Feed-Forward Neural Networks for Pattern Classification. Ieee Transactions On Neural Networks and Learning Systems. PMID 33017295 DOI: 10.1109/TNNLS.2020.3026114   
2020 Chang M, Canseco JA, Nicholson KJ, Patel N, Vaccaro AR. The Role of Machine Learning in Spine Surgery: The Future Is Now. Frontiers in Surgery. 7: 54. PMID 32974382 DOI: 10.3389/fsurg.2020.00054   
2020 Lo Vercio L, Amador K, Bannister JJ, Crites S, Gutierrez A, MacDonald ME, Moore J, Mouches P, Rajasheka D, Schimert S, Subbanna N, Tuladhar A, Wang N, Wilms M, Winder A, et al. Supervised machine learning tools: a tutorial for clinicians. Journal of Neural Engineering. PMID 33036008 DOI: 10.1088/1741-2552/abbff2   
2020 Xie J, Peng X, Wang H, Niu W, Zheng X. UAV Autonomous Tracking and Landing Based on Deep Reinforcement Learning Strategy. Sensors (Basel, Switzerland). 20. PMID 33019747 DOI: 10.3390/s20195630   
2020 Woods CT, Rudd J, Robertson S, Davids K. Wayfinding: How Ecological Perspectives of Navigating Dynamic Environments Can Enrich Our Understanding of the Learner and the Learning Process in Sport. Sports Medicine - Open. 6: 51. PMID 33113029 DOI: 10.1186/s40798-020-00280-9   
2020 Raab HA, Hartley CA. Adolescents exhibit reduced Pavlovian biases on instrumental learning. Scientific Reports. 10: 15770. PMID 32978451 DOI: 10.1038/s41598-020-72628-w   
2020 Shen D, Yu X. Learning Tracking Over Unknown Fading Channels Based on Iterative Estimation. Ieee Transactions On Neural Networks and Learning Systems. PMID 33035170 DOI: 10.1109/TNNLS.2020.3027475   
2020 Sahoo P, Roy I, Wang Z, Mi F, Yu L, Balasubramani P, Khan L, Stoddart JF. MultiCon: A Semi-Supervised Approach for Predicting Drug Function from Chemical Structure Analysis. Journal of Chemical Information and Modeling. PMID 33140954 DOI: 10.1021/acs.jcim.0c00801   
2020 Jiao J, Cai Y, Alsharid M, Drukker L, Papageorghiou AT, Noble JA. Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12263: 534-543. PMID 33103162 DOI: 10.1007/978-3-030-59716-0_51   
2020 Zimmerman A, Kalra D. Usefulness of machine learning in COVID-19 for the detection and prognosis of cardiovascular complications. Reviews in Cardiovascular Medicine. 21: 345-352. PMID 33070540 DOI: 10.31083/j.rcm.2020.03.120   
2020 Inés A, Domínguez C, Heras J, Mata E, Pascual V. Biomedical image classification made easier thanks to transfer and semi-supervised learning. Computer Methods and Programs in Biomedicine. 198: 105782. PMID 33065493 DOI: 10.1016/j.cmpb.2020.105782   
2020 Liu M, Qu L, Nie L, Liu M, Duan L, Chen B. Iterative Local-Global Collaboration Learning towards One-Shot Video Person Re-Identification. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. PMID 33006929 DOI: 10.1109/TIP.2020.3026625   
2020 Boukhelifa N, Bezerianos A, Chang R, Collins C, Drucker S, Endert A, Hullman J, North C, Sedlmair M, Rhyne TM. Challenges in Evaluating Interactive Visual Machine Learning Systems. Ieee Computer Graphics and Applications. 40: 88-96. PMID 33095702 DOI: 10.1109/MCG.2020.3017064   
2020 Cohen AO, Nussenbaum K, Dorfman HM, Gershman SJ, Hartley CA. The rational use of causal inference to guide reinforcement learning strengthens with age. Npj Science of Learning. 5: 16. PMID 33133638 DOI: 10.1038/s41539-020-00075-3   
2020 Meyer AND, Upadhyay DK, Collins CA, Fitzpatrick MH, Kobylinski M, Bansal AB, Torretti D, Singh H. A Program to Provide Clinicians with Feedback on Their Diagnostic Performance in a Learning Health System. Joint Commission Journal On Quality and Patient Safety. PMID 32980255 DOI: 10.1016/j.jcjq.2020.08.014   
2020 B S, R N. Transfer Learning Based Automatic Human Identification using Dental Traits- An Aid to Forensic Odontology. Journal of Forensic and Legal Medicine. 76: 102066. PMID 33032205 DOI: 10.1016/j.jflm.2020.102066   
2020 Nie X, Fan M, Huang X, Yang W, Zhang B, Ma X. Online Semisupervised Active Classification for Multiview PolSAR Data. Ieee Transactions On Cybernetics. PMID 33095737 DOI: 10.1109/TCYB.2020.3026741   
2020 Park J, Yoon HD, Yoo T, Shin M, Jeon HA. Potential and efficiency of statistical learning closely intertwined with individuals' executive functions: a mathematical modeling study. Scientific Reports. 10: 18843. PMID 33139784 DOI: 10.1038/s41598-020-75157-8   
2020 Abbas M, Somme D, Bouquin Jeannes RL. Machine Learning-Based Physical Activity Tracking with a view to Frailty Analysis. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 3917-3920. PMID 33018857 DOI: 10.1109/EMBC44109.2020.9175589   
2020 Li J, Zhong J, Yang J, Yang C. An Incremental Learning Framework to Enhance Teaching by Demonstration Based on Multimodal Sensor Fusion. Frontiers in Neurorobotics. 14: 55. PMID 32982712 DOI: 10.3389/fnbot.2020.00055   
2020 Swan Sein A, Dathatri S, Bates TA. Twelve tips on guiding preparation for both high-stakes exams and long-term learning. Medical Teacher. 1-6. PMID 33032481 DOI: 10.1080/0142159X.2020.1828570   
2020 Kuang X, Cheung JP, Wu H, Dokos S, Zhang T. MRI-SegFlow: a novel unsupervised deep learning pipeline enabling accurate vertebral segmentation of MRI images. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 1633-1636. PMID 33018308 DOI: 10.1109/EMBC44109.2020.9175987   
2020 Liang J, Zhu P, Dang C, Hu Q. Semisupervised Laplace-Regularized Multimodality Metric Learning. Ieee Transactions On Cybernetics. PMID 33027018 DOI: 10.1109/TCYB.2020.3022277   
2020 Zhang D, Lu X, Qin H, He Y. Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling. Ieee Transactions On Visualization and Computer Graphics. PMID 32986553 DOI: 10.1109/TVCG.2020.3027069   
2020 Lee JC, Lovibond PF. Individual differences in causal structures inferred during feature negative learning. Quarterly Journal of Experimental Psychology (2006). 1747021820959286. PMID 32988286 DOI: 10.1177/1747021820959286   
2020 Lee JC, Lovibond PF. Individual differences in causal structures inferred during feature negative learning. Quarterly Journal of Experimental Psychology (2006). 1747021820959286. PMID 32988286 DOI: 10.1177/1747021820959286   
2020 Qi H, Collins S, Noble JA. Knowledge-guided Pretext Learning for Utero-placental Interface Detection. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12261: 582-593. PMID 33163992 DOI: 10.1007/978-3-030-59710-8_57   
2020 Williams CC, Ferguson TD, Hassall CD, Abimbola W, Krigolson OE. The ERP, frequency, and time-frequency correlates of feedback processing: Insights from a large sample study. Psychophysiology. e13722. PMID 33169842 DOI: 10.1111/psyp.13722