Check computer science papers: citations, claims and retractions

Proximal Policy Optimization Algorithms

Schulman, J., Wolski, F., Dhariwal, P., Radford, A., & Klimov, O. (2017) · arXiv

Reinforcement Learning in RoboticsAerospace Engineering and Control Systems

Cited by 10,625

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Rudin, C. (2019) · Nature Machine Intelligence

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 10,561

From local explanations to global understanding with explainable AI for trees

Lundberg, S. M., Erion, G., Chen, H., DeGrave, A., Prutkin, J. M., Nair, B., Katz, R., Himmelfarb, J., Bansal, N., & Lee, S.-I. (2020) · Nature Machine Intelligence

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

Cited by 10,551

Consensus and Cooperation in Networked Multi-Agent Systems

Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE

Distributed Control Multi-Agent SystemsNeural Networks Stability and Synchronization

Cited by 10,541

Fast robust automated brain extraction

Smith, S. M. (2002) · Human Brain Mapping

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 10,496

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Isensee, F., Jaeger, P. F., Kohl, S. A. A., Petersen, J., & Maier-Hein, K. H. (2021) · Nature Methods

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 10,477

SciPy 1.0: fundamental algorithms for scientific computing in Python

Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al. (2019) · Apollo - University of Cambridge Repository

Computational Physics and Python ApplicationsScientific Computing and Data Management

Cited by 10,460

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 10,423

Explaining and Harnessing Adversarial Examples

Goodfellow, I. J., Shlens, J., & Szegedy, C. (2014) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 10,381

Learning from Imbalanced Data

He, H., & Garcia, E. A. (2009) · IEEE Transactions on Knowledge and Data Engineering

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 10,359

Handbook of applied cryptography

Menezes, A., van Oorschot, P. C., Vanstone, S. A., & Rivest, R. L. (1997) · Choice Reviews Online

Cryptography and Data SecurityCoding theory and cryptography

Cited by 10,357

YOLOv4: Optimal Speed and Accuracy of Object Detection

Bochkovskiy, A., Wang, C.-Y., & Liao, H.-Y. M. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 10,307

Deep neural networks for acoustic modeling in speech recognition: the shared views of four research groups

Hinton, G., Deng, L., Yu, D., Dahl, G., Mohamed, A.-R., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T., et al. (2012) · IEEE Signal Processing Magazine

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 10,260

Bidirectional recurrent neural networks

Schuster, M., & Paliwal, K. K. (1997) · IEEE Transactions on Signal Processing

Neural Networks and ApplicationsSpeech Recognition and Synthesis

Cited by 10,172

DeepWalk: online learning of social representations

Perozzi, B., Al-Rfou, R., & Skiena, S. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 10,123

A Survey of Augmented Reality

Azuma, R. T. (1997) · Presence: Teleoperators and Virtual Environments

Augmented Reality ApplicationsInteractive and Immersive Displays

Cited by 10,121

Quantum entanglement

Horodecki, R., Horodecki, P., Horodecki, M., & Horodecki, K. (2009) · Reviews of Modern Physics

Quantum Information and CryptographyQuantum Mechanics and Applications

Cited by 10,118

Image Super-Resolution Using Deep Convolutional Networks

Dong, C., Loy, C. C., He, K., & Tang, X. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image Processing TechniquesAdvanced Neural Network Applications

Cited by 10,105

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition

Zhang, Q., & Li, H. (2007) · IEEE Transactions on Evolutionary Computation

Advanced Multi-Objective Optimization AlgorithmsMetaheuristic Optimization Algorithms Research

Cited by 10,069

Glide: A new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy

Friesner, R. A., Banks, J. L., Murphy, R. B., Halgren, T. A., Klicic, J. J., Mainz, D. T., Repasky, M. P., Knoll, E. H., Shelley, M., Perry, J. K., et al. (2004) · Journal of Medicinal Chemistry

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 10,057

Path Aggregation Network for Instance Segmentation

Liu, S., Qi, L., Qin, H., Shi, J., & Jia, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 10,011

Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

Buhrmester, M., Kwang, T., & Gosling, S. D. (2011) · Perspectives on Psychological Science

Mobile Crowdsensing and CrowdsourcingSurvey Methodology and Nonresponse

Cited by 9,996

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Zhang, X., Zhou, X., Lin, M., & Sun, J. (2017) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 9,982

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Zhang, X., Zhou, X., Lin, M., & Sun, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 9,982