Most cited papers
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Domain randomization for transferring deep neural networks from simulation to the real world
Tobin, J., Fong, R., Ray, A., Schneider, J., Zaremba, W., & Abbeel, P. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 3,124
- Verified
Good News and Bad News: Representation Theorems and Applications
Milgrom, P. R. (1981) · The Bell Journal of Economics
Game Theory and ApplicationsAuction Theory and Applications
Cited by 3,123
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Observation of unidirectional backscattering-immune topological electromagnetic states
Wang, Z., Chong, Y., Joannopoulos, J. D., & Soljačić, M. (2009) · Nature
Topological Materials and PhenomenaAdvanced Condensed Matter Physics
Cited by 3,123
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Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
Guo, S., Lin, Y., Feng, N., Song, C., & Wan, H. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Traffic Prediction and Management TechniquesTraffic control and management
Cited by 3,123
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Proximate Causes and Underlying Driving Forces of Tropical Deforestation
GEIST, H. J., & LAMBIN, E. F. (2002) · BioScience
Conservation, Biodiversity, and Resource ManagementLand Use and Ecosystem Services
Cited by 3,123
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Non-viral vectors for gene-based therapy
Yin, H., Kanasty, R. L., Eltoukhy, A. A., Vegas, A. J., Dorkin, J. R., & Anderson, D. G. (2014) · Nature Reviews Genetics
RNA Interference and Gene DeliveryNanoparticle-Based Drug Delivery
Cited by 3,123
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Chitosan as antimicrobial agent: applications and mode of action.
Rabea, E. I., Badawy, M. E.-T., Stevens, C. V., Smagghe, G., & Steurbaut, W. (2003) · Biomacromolecules
Nanocomposite Films for Food PackagingAntimicrobial agents and applications
Cited by 3,123
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Why do many psychiatric disorders emerge during adolescence?
Paus, T., Keshavan, M., & Giedd, J. N. (2008) · Nature Reviews Neuroscience
Neural and Behavioral Psychology StudiesChild and Adolescent Psychosocial and Emotional Development
Cited by 3,123
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VEGF receptor signalling ? in control of vascular function
Olsson, A.-K., Dimberg, A., Kreuger, J., & Claesson-Welsh, L. (2006) · Nature Reviews Molecular Cell Biology
Angiogenesis and VEGF in CancerLymphatic System and Diseases
Cited by 3,122
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Snail, Zeb and bHLH factors in tumour progression: An alliance against the epithelial phenotype?
Peinado, H., Olmeda, D., & Cano, A. (2007) · Nature reviews. Cancer
Cancer Cells and MetastasisTGF-β signaling in diseases
Cited by 3,121
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Towards A Rigorous Science of Interpretable Machine Learning
Doshi-Velez, F., & Kim, B. (2017) · arXiv
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 3,121
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Cre reporter strains produced by targeted insertion of EYFP and ECFP into the ROSA26 locus
Srinivas, S., Watanabe, T., Lin, C.-S., William, C. M., Tanabe, Y., Jessell, T. M., & Costantini, F. (2001) · BMC Developmental Biology
Developmental Biology and Gene RegulationAnimal Genetics and Reproduction
Cited by 3,121
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The race between man and machine: implications of technology for growth, factor shares, and employment
Acemoglu, D., & Restrepo, P. (2018) · American Economic Review
Labor market dynamics and wage inequalityEconomic Growth and Productivity
Cited by 3,121
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Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction
Rovere, M. T. L., Bigger, J. T., Marcus, F. I., Mortara, A., & Schwartz, P. J. (1998) · The Lancet
Heart Rate Variability and Autonomic ControlCardiac electrophysiology and arrhythmias
Cited by 3,120
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Prioritized Experience Replay
Schaul, T., Quan, J., Antonoglou, I., & Silver, D. (2015) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 3,120
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The multiple-hit pathogenesis of non-alcoholic fatty liver disease (NAFLD)
Buzzetti, E., Pinzani, M., & Tsochatzis, E. A. (2016) · Metabolism
Liver Disease Diagnosis and TreatmentLiver physiology and pathology
Cited by 3,119
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COVID-19 and Italy: what next?
Remuzzi, A., & Remuzzi, G. (2020) · The Lancet
COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies
Cited by 3,119
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Immunogenic cell death in cancer and infectious disease
Galluzzi, L., Buqué, A., Kepp, O., Zitvogel, L., & Kroemer, G. (2017) · Nature Reviews Immunology
Immunotherapy and Immune ResponsesImmune Response and Inflammation
Cited by 3,119
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Short chain fatty acids in human large intestine, portal, hepatic and venous blood
Cummings, J. H., Pomare, E. W., Branch, W. J., Naylor, C. P., & Macfarlane, G. T. (1987) · Gut
Gut microbiota and healthGastrointestinal motility and disorders
Cited by 3,119
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The Patient-Reported Outcomes Measurement Information System (PROMIS): Progress of an NIH Roadmap Cooperative Group During its First Two Years
Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., Ader, D., Fries, J. F., Bruce, B., & Rose, M. (2007) · Medical Care
Psychometric Methodologies and TestingHealth Systems, Economic Evaluations, Quality of Life
Cited by 3,118
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A classification of illocutionary acts
Searle, J. R. (1976) · Language in Society
Syntax, Semantics, Linguistic VariationLanguage, Discourse, Communication Strategies
Cited by 3,118
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Review of Battery Charger Topologies, Charging Power Levels, and Infrastructure for Plug-In Electric and Hybrid Vehicles
Yilmaz, M., & Krein, P. T. (2013) · IEEE Transactions on Power Electronics
Electric Vehicles and InfrastructureElectric and Hybrid Vehicle Technologies
Cited by 3,118
- Verified
Reactivation of hippocampal ensemble memories during sleep
Wilson, M. A., & McNaughton, B. L. (1994) · Science
Memory and Neural MechanismsSleep and Wakefulness Research
Cited by 3,118
- Verified
Continual lifelong learning with neural networks: A review
Parisi, G. I., Kemker, R., Part, J. L., Kanan, C., & Wermter, S. (2019) · Neural Networks
Domain Adaptation and Few-Shot LearningReinforcement Learning in Robotics
Cited by 3,117
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