Check computer science papers: citations, claims and retractions

A Systematic Review of Adversarial Machine Learning Attacks, Defensive Controls and Technologies

Malik, J., Muthalagu, R., & Pawar, P. M. (2024) · IEEE Access

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 76

A Bayesian Cognition Approach to Improve Data Visualization

Kim, Y.-S., Walls, L. A., Krafft, P., & Hullman, J. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsBayesian Modeling and Causal Inference

Cited by 76

Mass-Editing Memory in a Transformer

Meng, K., Sharma, A. S., Andonian, A., Belinkov, Y., & Bau, D. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 76

MapReduce program synthesis

Smith, C., & Albarghouthi, A. (2016) · Proceedings of the 37th ACM SIGPLAN Conference on Programming Language Design and Implementation

Cloud Computing and Resource ManagementAdvanced Database Systems and Queries

Cited by 76

Theory of analytical energy derivatives for the variational quantum eigensolver

Mitarai, K., Nakagawa, Y. O., & Mizukami, W. (2020) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 76

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry

Jiang, W., Synovic, N., Hyatt, M., Schorlemmer, T. R., Sethi, R., Lu, Y.-H., Thiruvathukal, G. K., & Davis, J. C. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 76

On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning

Shaikh, O., Zhang, H., Held, W., Bernstein, M., & Yang, D. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AITopic Modeling

Cited by 76

Epistemic Injustice in Generative AI

Kay, J., Kasirzadeh, A., & Mohamed, S. (2024) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 76

When Code Completion Fails: A Case Study on Real-World Completions

Hellendoorn, V. J., Proksch, S., Gall, H. C., & Bacchelli, A. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 76

Introduction to the EQIPD quality system

Bespalov, A., Bernard, R., Gilis, A., Gerlach, B., Guillén, J., Castagné, V., Lefevre, I. A., Ducrey, F., Monk, L., Bongiovanni, S., et al. (2021) · eLife

Research Data Management PracticesAnimal testing and alternatives

Cited by 76

Lightweight Deep Learning Based Intelligent Edge Surveillance Techniques

Zhao, Y., Yin, Y., & Gui, G. (2020) · IEEE Transactions on Cognitive Communications and Networking

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 76

Efficient quantum state tomography with convolutional neural networks

Schmale, T., Reh, M., & Gärttner, M. (2022) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 76

Quantum Computation with Untunable Couplings

Zhou, X., Zhou, Z.-W., Guo, G.-C., & Feldman, M. J. (2002) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 76

Detecting Beneficial Feature Interactions for Recommender Systems

Su, Y., Zhang, R., Erfani, S., & Xu, Z. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 76

The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective

Franklin, G., Stephens, R., Piracha, M., Tiosano, S., Lehouillier, F., Koppel, R., & Elkin, P. (2024) · Life

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 76

The cognitive effects of computational thinking: a systematic review and meta-analytic study

Montuori, C., Gambarota, F., Altoé, G., & Arfé, B. (2024) · Computers & Education

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 76

Decentralized Access Control Mechanism with Temporal Dimension Based on Blockchain

Jemel, M., & Serhrouchni, A. (2017) · 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE)

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 76

A New Age of AI: Features and Futures

Cao, L. (2022) · IEEE Intelligent Systems

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 76

Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning

Wang, S., Ren, P., Chen, Z., Ren, Z., Ma, J., & de Rijke, M. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Machine Learning in HealthcareComputational Drug Discovery Methods

Cited by 76

Convolutional Neural Network-Based Digital Image Watermarking Adaptive to the Resolution of Image and Watermark

Lee, J.-E., Seo, Y.-H., & Kim, D.-W. (2020) · Applied Sciences

Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection

Cited by 76

Experiences With Designing Tools for Everyday Reminiscing

Cosley, D., Sosik, V. S., Schultz, J., Peesapati, S. T., & Lee, S. (2012) · Human–Computer Interaction

Innovative Human-Technology InteractionNostalgia and Consumer Behavior

Cited by 76

A Systematic Review of Learning Analytics: Incorporated Instructional Interventions on Learning Management Systems

Pan, Z., Biegley, L., Taylor, A., & Zheng, H. (2024) · Journal of Learning Analytics

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 76

Evading DeepFake Detectors via Adversarial Statistical Consistency

Hou, Y., Guo, Q., Huang, Y., Xie, X., Ma, L., & Zhao, J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 76

Predicting all‐cause readmissions using electronic health record data from the entire hospitalization: Model development and comparison

Nguyen, O. K., Makam, A. N., Clark, C., Zhang, S., Xie, B., Velasco, F., Amarasingham, R., & Halm, E. A. (2016) · Journal of Hospital Medicine

Machine Learning in HealthcareHospital Admissions and Outcomes

Cited by 76