Most cited papers
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Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
Rezatofighi, H., Tsoi, N., Gwak, J., Sadeghian, A., Reid, I., & Savarese, S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 6,612
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PD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature
Cancer Immunotherapy and BiomarkersT-cell and B-cell Immunology
Cited by 6,609
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Learning Vocabulary in Another Language
Nation, I. S. P. (2001) · Cambridge University Press
Second Language Acquisition and LearningEFL/ESL Teaching and Learning
Cited by 6,608
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Pembrolizumab plus chemotherapy in metastatic non–small-cell lung cancer
Gandhi, L., Rodríguez-Abreu, D., Gadgeel, S., Esteban, E., Felip, E., De Angelis, F., Domine, M., Clingan, P., Hochmair, M. J., Powell, S. F., et al. (2018) · New England Journal of Medicine
Lung Cancer Treatments and MutationsCancer Immunotherapy and Biomarkers
Cited by 6,607
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The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview
Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., et al. (2017) · Global Environmental Change
Climate Change Policy and EconomicsSustainability and Climate Change Governance
Cited by 6,607
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Sampling-based approaches to calculating marginal densities
Gelfand, A. E., & Smith, A. F. M. (1990) · Journal of the American Statistical Association
Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference
Cited by 6,606
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The Biological Foundations of Language
Lenneberg, E. H. (1967) · Hospital Practice
Language Development and DisordersHearing Impairment and Communication
Cited by 6,605
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Trust in Automation: Designing for Appropriate Reliance
Lee, J. D., & See, K. A. (2004) · Human Factors: The Journal of the Human Factors and Ergonomics Society
Human-Automation Interaction and SafetySocial Robot Interaction and HRI
Cited by 6,605
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LC3, a mammalian homologue of yeast Apg8p, is localized in autophagosome membranes after processing.
Kabeya, Y., Mizushima, N., Ueno, T., Yamamoto, A., Kirisako, T., Noda, T., Kominami, E., Ohsumi, Y., & Yoshimori, T. (2000) · The EMBO Journal
Autophagy in Disease and TherapyCellular transport and secretion
Cited by 6,605
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A Beginner's Guide to Structural Equation Modeling: Fourth Edition
Schumacker, R. E., & Lomax, R. G. (2015) · Routledge eBooks
Psychometric Methodologies and TestingStatistical Methods and Bayesian Inference
Cited by 6,604
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Towards Deep Learning Models Resistant to Adversarial Attacks
Madry, A., Makelov, A., Schmidt, L., Tsipras, D., & Vladu, A. (2017) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 6,602
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Sustainable Hydrogen Production
Turner, J. A. (2004) · Science
Hybrid Renewable Energy SystemsCatalysts for Methane Reforming
Cited by 6,602
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Isolation Forest
Liu, F. T., Ting, K. M., & Zhou, Z.-H. (2008) · 2008 Eighth IEEE International Conference on Data Mining
Anomaly Detection Techniques and ApplicationsMachine Learning and Data Classification
Cited by 6,601
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Metabolic syndrome—a new world‐wide definition. A Consensus Statement from the International Diabetes Federation
Alberti, K. G. M. M., Zimmet, P., & Shaw, J. (2006) · Diabetic Medicine
Diabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic Diseases
Cited by 6,597
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Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., Das, S. R., de Ferranti, S., Després, J.-P., Fullerton, H. J., et al. (2016) · Circulation
Cardiovascular Health and Risk FactorsHealthcare Systems and Public Health
Cited by 6,596
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Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015
Wang, H., Naghavi, M., Allen, C., Barber, R. M., Bhutta, Z. A., Carter, A., Casey, D. C., Charlson, F. J., Chen, A. Z., Coates, M. M., et al. (2016) · The Lancet
Insurance, Mortality, Demography, Risk ManagementGlobal Maternal and Child Health
Cited by 6,596
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Networks
Newman, M. (2010) · Oxford University Press eBooks
Complex Network Analysis TechniquesContemporary Social and Educational Issues
Cited by 6,595
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The Female Sexual Function Index (FSFI): a multidimensional self-report instrument for the assessment of female sexual function
Rosen, C. B. (2000) · Journal of Sex & Marital Therapy
Sexual function and dysfunction studiesSexuality, Behavior, and Technology
Cited by 6,593
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Quantum Optics
Scully, M. O., & Zubairy, M. S. (1997) · Cambridge University Press eBooks
Quantum optics and atomic interactionsQuantum Information and Cryptography
Cited by 6,589
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Acceptance and commitment therapy: model, processes and outcomes
Hayes, S. C., Luoma, J. B., Bond, F. W., Masuda, A., & Lillis, J. (2006) · Behaviour Research and Therapy
Mindfulness and Compassion InterventionsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Cited by 6,587
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Validation of a combined comorbidity index
Charlson, M., Szatrowski, T. P., Peterson, J., & Gold, J. (1994) · Journal of Clinical Epidemiology
Cardiac, Anesthesia and Surgical OutcomesChronic Disease Management Strategies
Cited by 6,587
- Verified
Regression and time series model selection in small samples
HURVICH, C. M., & TSAI, C.-L. (1989) · Biometrika
Statistical Methods and InferenceStatistical Methods and Applications
Cited by 6,586
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Inverse Problem Theory and Methods for Model Parameter Estimation
Tarantola, A. (2005) · Society for Industrial and Applied Mathematics eBooks
Numerical methods in inverse problemsStatistical and numerical algorithms
Cited by 6,585
- Verified
Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015.
Cohen, A. J., Brauer, M., Burnett, R., Anderson, H. R., Frostad, J., Estep, K., Balakrishnan, K., Brunekreef, B., Dandona, L., Dandona, R., et al. (2017) · The Lancet
Air Quality and Health ImpactsAtmospheric chemistry and aerosols
Cited by 6,583
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