Check computer science papers: citations, claims and retractions

Relational learning via latent social dimensions

Tang, L., & Liu, H. (2009) · Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 799

Computational thinking for youth in practice

Lee, I., Martin, F., Denner, J., Coulter, B., Allan, W., Erickson, J., Malyn-Smith, J., & Werner, L. (2011) · ACM Inroads

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 799

Turkopticon: interrupting worker invisibility in amazon mechanical turk

Irani, L. C., & Silberman, M. S. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Mobile Crowdsensing and CrowdsourcingEthics and Social Impacts of AI

Cited by 798

Probabilistic Regression for Visual Tracking

Danelljan, M., Van Gool, L., & Timofte, R. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 798

Deep Learning in Medical Ultrasound Analysis: A Review

Liu, S., Wang, Y., Yang, X., Lei, B., Liu, L., Li, S. X., Ni, D., & Wang, T. (2019) · Engineering

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 798

Feature dimensionality reduction: a review

Jia, W., Sun, M., Lian, J., & Hou, S. (2022) · Complex & Intelligent Systems

Face and Expression RecognitionStatistical Methods and Applications

Cited by 797

On feature combination for multiclass object classification

Gehler, P., & Nowozin, S. (2009) · 2009 IEEE 12th International Conference on Computer Vision

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 797

Search User Interfaces

Hearst, M. A. (2009) · Cambridge University Press eBooks

Information Retrieval and Search BehaviorUsability and User Interface Design

Cited by 797

Reciprocal rank fusion outperforms condorcet and individual rank learning methods

Cormack, G. V., Clarke, C. L. A., & Buettcher, S. (2009) · Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 797

Multi-Atlas Segmentation with Joint Label Fusion

Wang, H., Suh, J. W., Das, S. R., Pluta, J. B., Craige, C., & Yushkevich, P. A. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 796

Stealing Machine Learning Models via Prediction APIs

Tramèr, F., Zhang, F., Juels, A., Reiter, M. K., & Ristenpart, T. (2016) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 796

A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

Abdulrahman, S., Tout, H., Ould-Slimane, H., Mourad, A., Talhi, C., & Guizani, M. (2021) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 796

Towards quantum chemistry on a quantum computer

Lanyon, B. P., Whitfield, J. D., Gillett, G. G., Goggin, M. E., Almeida, M. P., Kassal, I., Biamonte, J. D., Mohseni, M., Powell, B. J., Barbieri, M., et al. (2010) · Nature Chemistry

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 796

Semi-Supervised Self-Training of Object Detection Models

Rosenberg, C., Hebert, M., & Schneiderman, H. (2005) · 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 796

Fhirchain: applying blockchain to securely and scalably share clinical data

Zhang, P., White, J., Schmidt, D. C., Lenz, G., & Rosenbloom, S. T. (2018) · Computational and Structural Biotechnology Journal

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 796

FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Grathwohl, W., Chen, R. T. Q., Bettencourt, J., Sutskever, I., & Duvenaud, D. (2018) · arXiv

Generative Adversarial Networks and Image SynthesisMarkov Chains and Monte Carlo Methods

Cited by 796

Improving Deep Learning with Generic Data Augmentation

Taylor, L., & Nitschke, G. (2018) · 2018 IEEE Symposium Series on Computational Intelligence (SSCI)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 796

Next-generation phenotyping of electronic health records

Hripcsak, G., & Albers, D. J. (2013) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 795

On Krylov Subspace Approximations to the Matrix Exponential Operator

Hochbruck, M., & Lubich, C. (1997) · SIAM Journal on Numerical Analysis

Matrix Theory and AlgorithmsNumerical Solvers for Ordinary Differential Equations

Cited by 795

Memory for goals: an activation‐based model

Altmann, E. M., & Trafton, J. G. (2002) · Cognitive Science

AI-based Problem Solving and PlanningCognitive Functions and Memory

Cited by 795

Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training

Li, G., Duan, N., Fang, Y., Gong, M., & Jiang, D. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 795

Maximizing a Monotone Submodular Function Subject to a Matroid Constraint

Calinescu, G., Chekuri, C., Pál, M., & Vondrák, J. (2011) · SIAM Journal on Computing

Complexity and Algorithms in GraphsOptimization and Search Problems

Cited by 795

Confident Learning: Estimating Uncertainty in Dataset Labels

Northcutt, C., Jiang, L., & Chuang, I. (2021) · Journal of Artificial Intelligence Research

Machine Learning and Data ClassificationAdversarial Robustness in Machine Learning

Cited by 795

Explaining Explanations in AI

Mittelstadt, B., Russell, C., & Wachter, S. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Explainable Artificial Intelligence (XAI)Philosophy of Biology and Scientific Explanation

Cited by 794