Robert E. Roth - Related publications

2007 Geography University of Wisconsin, Madison, Madison, WI 
 2011 Geography Pennsylvania State University, State College, PA, United States 
 2011- Geography University of Wisconsin, Madison, Madison, WI 
NOTE: We are testing a new system for identifying relevant work based on semantic analysis that identifies similarities between recently published papers and the current author's publications. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches.
50 most relevant papers in past 60 days:
Year Citation  Score
2020 Qiu X, Wen L, Wu C, Yang Z, Wang Q, Li H, Wang D. Impact of Learning Methods on Spatial Knowledge Acquisition. Frontiers in Psychology. 11: 1322. PMID 32612561 DOI: 10.3389/fpsyg.2020.01322   
2020 Choi RY, Coyner AS, Kalpathy-Cramer J, Chiang MF, Campbell JP. Introduction to Machine Learning, Neural Networks, and Deep Learning. Translational Vision Science & Technology. 9: 14. PMID 32704420 DOI: 10.1167/tvst.9.2.14   
2020 Tal A, Vakil E. How sequence learning unfolds: Insights from anticipatory eye movements. Cognition. 201: 104291. PMID 32497894 DOI: 10.1016/j.cognition.2020.104291   
2020 Amabilino S, Pogany P, Pickett SD, Green D. Guidelines for RNN Transfer Learning Based Molecular Generation of Focussed Libraries. Journal of Chemical Information and Modeling. PMID 32659085 DOI: 10.1021/acs.jcim.0c00343   
2020 Tan C, Han R, Ye R, Chen K. Adaptive Learning Recommendation Strategy Based on Deep Q-learning. Applied Psychological Measurement. 44: 251-266. PMID 32536728 DOI: 10.1177/0146621619858674   
2020 Howard NM, Cook DA, Hatala R, Pusic MV. Learning Curves in Health Professions Education Simulation Research: A Systematic Review. Simulation in Healthcare : Journal of the Society For Simulation in Healthcare. PMID 32675731 DOI: 10.1097/SIH.0000000000000477   
2020 Le Dantec CC, Seitz AR. Dissociating electrophysiological correlates of contextual and perceptual learning in a visual search task. Journal of Vision. 20: 7. PMID 32525986 DOI: 10.1167/jov.20.6.7   
2020 Dosher BA, Liu J, Chu W, Lu ZL. Roving: The causes of interference and re-enabled learning in multi-task visual training. Journal of Vision. 20: 9. PMID 32543649 DOI: 10.1167/jov.20.6.9   
2020 Woo WL, Gao B. Sensor Signal and Information Processing II. Sensors (Basel, Switzerland). 20. PMID 32635516 DOI: 10.3390/s20133751   
2020 Grossberg S. A Path Toward Explainable AI and Autonomous Adaptive Intelligence: Deep Learning, Adaptive Resonance, and Models of Perception, Emotion, and Action. Frontiers in Neurorobotics. 14: 36. PMID 32670045 DOI: 10.3389/fnbot.2020.00036   
2020 Smith R, Schwartenbeck P, Parr T, Friston KJ. An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case. Frontiers in Computational Neuroscience. 14: 41. PMID 32508611 DOI: 10.3389/fncom.2020.00041   
2020 Li Y, Fan X, Gaussier E. Supervised Categorical Metric Learning With Schatten p-Norms. Ieee Transactions On Cybernetics. PMID 32697727 DOI: 10.1109/TCYB.2020.3004437   
2020 Kim S, Kim K, Choe J, Lee I, Kang J. Improved survival analysis by learning shared genomic information from pan-cancer data. Bioinformatics (Oxford, England). 36: i389-i398. PMID 32657401 DOI: 10.1093/bioinformatics/btaa462   
2020 Rauer C, Bereau T. Hydration free energies from kernel-based machine learning: Compound-database bias. The Journal of Chemical Physics. 153: 014101. PMID 32640817 DOI: 10.1063/5.0012230   
2020 Dyson M, Dupan S, Jones H, Nazarpour K. Learning, Generalization, and Scalability of Abstract Myoelectric Control. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 28: 1539-1547. PMID 32634092 DOI: 10.1109/TNSRE.2020.3000310   
2020 Tan X, Yu Y, Duan K, Zhang J, Sun P, Sun H. Current Advances and Limitations of Deep Learning in Anticancer Drug Sensitivity Prediction. Current Topics in Medicinal Chemistry. PMID 32648840 DOI: 10.2174/1568026620666200710101307   
2020 Jun YJ, Jung J, Lee HM. Medical data science in rhinology: Background and implications for clinicians. American Journal of Otolaryngology. 41: 102627. PMID 32682191 DOI: 10.1016/j.amjoto.2020.102627   
2020 Kang Z, Lu X, Liang J, Bai K, Xu Z. Relation-Guided Representation Learning. Neural Networks : the Official Journal of the International Neural Network Society. 131: 93-102. PMID 32763763 DOI: 10.1016/j.neunet.2020.07.014   
2020 Schneider JM, Hu A, Legault J, Qi Z. Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques. Journal of Visualized Experiments : Jove. PMID 32716372 DOI: 10.3791/61474   
2020 Wang L, Zhang C, Bai R, Li J, Duan H. Heck reaction prediction using a transformer model based on a transfer learning strategy. Chemical Communications (Cambridge, England). PMID 32672319 DOI: 10.1039/d0cc02657c   
2020 Jiao J, Droste R, Drukker L, Papageorghiou AT, Noble JA. Self-Supervised Representation Learning for Ultrasound Video. Proceedings. Ieee International Symposium On Biomedical Imaging. 2020: 1847-1850. PMID 32489519 DOI: 10.1109/ISBI45749.2020.9098666   
2020 Xiong F, Liu Z, Huang K, Yang X, Qiao H, Hussain A. Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning. Neural Networks : the Official Journal of the International Neural Network Society. 129: 163-173. PMID 32535306 DOI: 10.1016/j.neunet.2020.06.003   
2020 Xu R, Sheng J, Bai M, Shu K, Zhu Y, Chang C. A Comprehensive Evaluation of MS/MS Spectrum Prediction Tools for Shotgun Proteomics. Proteomics. e1900345. PMID 32574431 DOI: 10.1002/pmic.201900345   
2020 Pelizzo G, Cardinali L, Bonanno L, Marino S, Cavaliere C, Aiello M, Bramanti P, Mazzon E, Soddu A, Calcaterra V. Training Skills in Minimally Invasive, Robotic and Open Surgery: Brain Activation as an Opportunity for Learning. European Surgical Research. Europaische Chirurgische Forschung. Recherches Chirurgicales Europeennes. 1-16. PMID 32585673 DOI: 10.1159/000507766   
2020 Cai C, Wang S, Xu Y, Zhang W, Tang K, Ouyang Q, Lai L, Pei J. Transfer Learning for Drug Discovery. Journal of Medicinal Chemistry. PMID 32672961 DOI: 10.1021/acs.jmedchem.9b02147   
2020 Haghighatlari M, Li J, Heidar-Zadeh F, Liu Y, Guan X, Head-Gordon T. Learning to Make Chemical Predictions: the Interplay of Feature Representation, Data, and Machine Learning Methods. Chem. 6: 1527-1542. PMID 32695924 DOI: 10.1016/j.chempr.2020.05.014   
2020 Elhai JD, Montag C. The compatibility of theoretical frameworks with machine learning analyses in psychological research. Current Opinion in Psychology. 36: 83-88. PMID 32563708 DOI: 10.1016/j.copsyc.2020.05.002   
2020 Goldberg SB, Flemotomos N, Martinez VR, Tanana MJ, Kuo PB, Pace BT, Villatte JL, Georgiou PG, Van Epps J, Imel ZE, Narayanan SS, Atkins DC. Machine learning and natural language processing in psychotherapy research: Alliance as example use case. Journal of Counseling Psychology. 67: 438-448. PMID 32614225 DOI: 10.1037/cou0000382   
2020 Schwung D, Schwung A, Ding SX. Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach. Ieee Transactions On Cybernetics. PMID 32726287 DOI: 10.1109/TCYB.2020.3006620   
2020 Chen B, Fan Y, Zhang G, Liu M, Wang Q. Teachers' networked professional learning with MOOCs. Plos One. 15: e0235170. PMID 32614843 DOI: 10.1371/journal.pone.0235170   
2020 Li W, Li X, Bourahla OE, Huang F, Wu F, Liu W, Wang Z, Liu H. Progressive Multistage Learning for Discriminative Tracking. Ieee Transactions On Cybernetics. PMID 32755874 DOI: 10.1109/TCYB.2020.2985398   
2020 Xiong F, Xiao Y, Cao Z, Wang Y, Zhou JT, Wu J. ECML: An Ensemble Cascade Metric-Learning Mechanism Toward Face Verification. Ieee Transactions On Cybernetics. PMID 32520713 DOI: 10.1109/TCYB.2020.2996207   
2020 Sampaio E, Ramos CS, Bernardino BLM, Bleunven M, Augustin ML, Moura É, Lopes VM, Rosa R. Neurally underdeveloped cuttlefish newborns exhibit social learning. Animal Cognition. PMID 32651650 DOI: 10.1007/s10071-020-01411-1   
2020 Sun S, Dong W, Liu Q. Multi-view Representation Learning with Deep Gaussian Processes. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 32750782 DOI: 10.1109/TPAMI.2020.3001433   
2020 Kim H, Ganslandt T, Miethke T, Neumaier M, Kittel M. Deep Learning Frameworks for Rapid Gram Stain Image Data Interpretation: Protocol for a Retrospective Data Analysis. Jmir Research Protocols. 9: e16843. PMID 32673276 DOI: 10.2196/16843   
2020 Stevens CJ, Horrigan J, Heale R, Koren I. Northeastern Ontario nurses' perceptions of e-learning: An interpretive description. Nurse Education Today. 92: 104509. PMID 32599472 DOI: 10.1016/j.nedt.2020.104509   
2020 Warren AM, Frongillo EA, Rawat R. Building Implementation Science in Nutrition. Advances in Nutrition (Bethesda, Md.). PMID 32583850 DOI: 10.1093/advances/nmaa066   
2020 Babini MH, Kulish VV, Namazi H. Physiological State and Learning Ability of Students in Normal and Virtual Reality Conditions: Complexity-Based Analysis. Journal of Medical Internet Research. 22: e17945. PMID 32478661 DOI: 10.2196/17945   
2020 Zhang J, Lei YK, Zhang Z, Chang J, Li M, Han X, Yang L, Yang YI, Gao YQ. A Perspective on Deep Learning for Molecular Modeling and Simulations. The Journal of Physical Chemistry. B. PMID 32663004 DOI: 10.1021/acs.jpcb.0c04473   
2020 Fang X, Han N, Zhou G, Teng S, Xu Y, Xie S. Dynamic Double Classifiers Approximation for Cross-Domain Recognition. Ieee Transactions On Cybernetics. PMID 32667889 DOI: 10.1109/TCYB.2020.3004398   
2020 Spencer RJ, Gradwohl BD, Williams TF, Kordovski VM, Hammers DB. Developing learning slope scores for the repeatable battery for the assessment of neuropsychological status. Applied Neuropsychology. Adult. 1-7. PMID 32654521 DOI: 10.1080/23279095.2020.1791870   
2020 Ye M, Shen J, Zhang X, Yuen PC, Chang SF. Augmentation Invariant and Instance Spreading Feature for Softmax Embedding. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 32750841 DOI: 10.1109/TPAMI.2020.3013379   
2020 Fukunaga N, Sanami S, Kitasaka H, Tsuzuki Y, Watanabe H, Kida Y, Takeda S, Asada Y. Development of an automated two pronuclei detection system on time-lapse embryo images using deep learning techniques. Reproductive Medicine and Biology. 19: 286-294. PMID 32684828 DOI: 10.1002/rmb2.12331   
2020 Liebal UW, Phan ANT, Sudhakar M, Raman K, Blank LM. Machine Learning Applications for Mass Spectrometry-Based Metabolomics. Metabolites. 10. PMID 32545768 DOI: 10.3390/metabo10060243   
2020 Bansal A, Padappayil RP, Garg C, Singal A, Gupta M, Klein A. Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review. Journal of Medical Systems. 44: 156. PMID 32740678 DOI: 10.1007/s10916-020-01617-3   
2020 Sheller MJ, Edwards B, Reina GA, Martin J, Pati S, Kotrotsou A, Milchenko M, Xu W, Marcus D, Colen RR, Bakas S. Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data. Scientific Reports. 10: 12598. PMID 32724046 DOI: 10.1038/s41598-020-69250-1   
2020 Koppe G, Meyer-Lindenberg A, Durstewitz D. Deep learning for small and big data in psychiatry. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology. PMID 32668442 DOI: 10.1038/s41386-020-0767-z   
2020 Becker AS, Friedrichs K, Stiles M, Herold K, Seibert C. The Clumsy Horse: A Professional Development Tool for Facilitators of Self-Directed, Case-Based Learning. Mededportal : the Journal of Teaching and Learning Resources. 16: 10901. PMID 32656322 DOI: 10.15766/mep_2374-8265.10901   
2020 Faes L, Liu X, Wagner SK, Fu DJ, Balaskas K, Sim DA, Bachmann LM, Keane PA, Denniston AK. A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies. Translational Vision Science & Technology. 9: 7. PMID 32704413 DOI: 10.1167/tvst.9.2.7   
2020 Zettersten M, Potter CE, Saffran JR. Tuning in to non-adjacencies: Exposure to learnable patterns supports discovering otherwise difficult structures. Cognition. 202: 104283. PMID 32623134 DOI: 10.1016/j.cognition.2020.104283