Check computer science papers: citations, claims and retractions

End-to-End People Detection in Crowded Scenes

Stewart, R., Andriluka, M., & Ng, A. Y. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 539

Two birds with one stone: two-factor authentication with security beyond conventional bound

Wang, D., & Wang, P. (2016) · IEEE Transactions on Dependable and Secure Computing

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 539

Low-Shot Learning with Imprinted Weights

Qi, H., Brown, M., & Lowe, D. G. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 539

Development and Validation of Deep Learning–based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs

Nam, J. G., Park, S., Hwang, E. J., Lee, J. H., Jin, K.-N., Lim, K. Y., Vu, T. H., Sohn, J. H., Hwang, S., Goo, J. M., et al. (2019) · Radiology

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 539

Inside PageRank

Bianchini, M., Gori, M., & Scarselli, F. (2005) · ACM Transactions on Internet Technology

Information Retrieval and Search BehaviorWeb visibility and informetrics

Cited by 539

40 years of cognitive architectures: core cognitive abilities and practical applications

Kotseruba, I., & Tsotsos, J. K. (2020) · Artificial Intelligence Review

Psychiatry, Mental Health, NeuroscienceAI-based Problem Solving and Planning

Cited by 539

The Blockchain and the New Architecture of Trust

Werbach, K. (2018) · MIT Press

Blockchain Technology Applications and SecurityDigital Transformation in Law

Cited by 539

Xception: Deep Learning with Depthwise Separable Convolutions

Chollet, F. (2016) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 538

Expanding Explainability: Towards Social Transparency in AI systems

Ehsan, U., Liao, Q. V., Muller, M., Riedl, M. O., & Weisz, J. D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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

Cited by 538

Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management

Rejeb, A., Keogh, J. G., & Treiblmaier, H. (2019) · Future Internet

Blockchain Technology Applications and SecurityFood Supply Chain Traceability

Cited by 538

The Computational Limits of Deep Learning

Thompson, N. C., Greenewald, K., Lee, K., & Manso, G. F. (2020) · arXiv

Advanced Neural Network ApplicationsArtificial Intelligence Applications

Cited by 538

Double-spending fast payments in bitcoin

Karame, G. O., Androulaki, E., & Capkun, S. (2012) · Proceedings of the 2012 ACM conference on Computer and communications security

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 538

Best Algorithms for Approximating the Maximum of a Submodular Set Function

Nemhauser, G. L., & Wolsey, L. A. (1978) · Mathematics of Operations Research

Complexity and Algorithms in GraphsGame Theory and Voting Systems

Cited by 538

Real Time Speech Enhancement in the Waveform Domain

Défossez, A., Synnaeve, G., & Adi, Y. (2020) · Interspeech 2020

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 537

The Woman Worked as a Babysitter: On Biases in Language Generation

Sheng, E., Chang, K.-W., Natarajan, P., & Peng, N. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 537

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Yin, W., Hay, J., & Roth, D. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 537

Hyperspectral Imaging for Military and Security Applications: Combining Myriad Processing and Sensing Techniques

Shimoni, M., Haelterman, R., & Perneel, C. (2019) · IEEE Geoscience and Remote Sensing Magazine

Remote-Sensing Image ClassificationAdvanced Image Fusion Techniques

Cited by 537

The generalization error of random features regression: Precise asymptotics and double descent curve

Mei, S., & Montanari, A. (2019) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 537

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

Haliassos, A., Vougioukas, K., Petridis, S., & Pantic, M. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 537

Mobile Edge Intelligence and Computing for the Internet of Vehicles

Zhang, J., & Letaief, K. B. (2020) · Proceedings of the IEEE

IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)

Cited by 537

“A neural approach to automated essay scoring,”

Taghipour, K., & Ng, H. T. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

Educational Technology and AssessmentNatural Language Processing Techniques

Cited by 537

A decentralized model for information flow control

Myers, A. C., & Liskov, B. (1997) · Proceedings of the sixteenth ACM symposium on Operating systems principles

Security and Verification in ComputingAccess Control and Trust

Cited by 536

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Lu, S., Guo, D., Ren, S., Huang, J., Svyatkovskiy, A., Blanco, A., Clement, C., Drain, D., Jiang, D., Tang, D., et al. (2021) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 536

Segment anything model for medical images?

Huang, Y., Yang, X., Liu, L., Zhou, H., Chang, A., Zhou, X., Chen, R., Yu, J., Chen, J., Chen, C., et al. (2024) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 536