Check computer science papers: citations, claims and retractions

Enabling country-scale land cover mapping with meter-resolution satellite imagery

Tong, X.-Y., Xia, G.-S., & Zhu, X. X. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 125

The Science of Detecting LLM-Generated Text

Tang, R., Chuang, Y.-N., & Hu, X. (2024) · Communications of the ACM

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 125

Graph Retrieval-Augmented Generation for Large Language Models: A Survey

Procko, T. T., & Ochoa, O. (2024) · 2024 Conference on AI, Science, Engineering, and Technology (AIxSET)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 125

Sponge Examples: Energy-Latency Attacks on Neural Networks

Shumailov, I., Zhao, Y., Bates, D., Papernot, N., Mullins, R., & Anderson, R. (2021) · 2021 IEEE European Symposium on Security and Privacy (EuroS&P)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 125

Automated Playtesting With Procedural Personas Through MCTS With Evolved Heuristics

Holmgard, C., Green, M. C., Liapis, A., & Togelius, J. (2019) · IEEE Transactions on Games

Artificial Intelligence in GamesDigital Games and Media

Cited by 125

A Predictive Model of Human Performance With Scrolling and Hierarchical Lists

Cockburn, A., & Gutwin, C. (2009) · Human–Computer Interaction

Usability and User Interface DesignData Visualization and Analytics

Cited by 125

CommunityCommands: command recommendations for software applications

Matejka, J., Li, W., Grossman, T., & Fitzmaurice, G. (2009) · Proceedings of the 22nd annual ACM symposium on User interface software and technology

Recommender Systems and TechniquesSoftware Engineering Research

Cited by 125

Explaining machine learning models with interactive natural language conversations using TalkToModel

Slack, D., Krishna, S., Lakkaraju, H., & Singh, S. (2023) · Nature Machine Intelligence

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 125

Toward human-centered algorithm design

Baumer, E. P. (2017) · Big Data & Society

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 125

Federated-Learning-Enabled Intelligent Fog Radio Access Networks: Fundamental Theory, Key Techniques, and Future Trends

Zhao, Z., Feng, C., Yang, H. H., & Luo, X. (2020) · IEEE Wireless Communications

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 125

A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks

Wang, Y., Li, P., Jiao, L., Su, Z., Cheng, N., Shen, X. S., & Zhang, P. (2017) · IEEE Wireless Communications

Image and Video Quality AssessmentAdvanced Wireless Network Optimization

Cited by 125

DreamCoder: growing generalizable, interpretable knowledge with wake–sleep Bayesian program learning

Ellis, K., Wong, L., Nye, M., Sablé-Meyer, M., Cary, L., Anaya Pozo, L., Hewitt, L., Solar-Lezama, A., & Tenenbaum, J. B. (2023) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 125

A Novel Hybrid Secure Image Encryption Based on Julia Set of Fractals and 3D Lorenz Chaotic Map

Masood, F., Ahmad, J., Shah, S. A., Jamal, S. S., & Hussain, I. (2020) · Entropy

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 125

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Chen, W., Ma, X., Wang, X., & Cohen, W. W. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 125

Introduction to Random Boolean Networks

Gershenson, C. (2004) · arXiv

Cellular Automata and ApplicationsGene Regulatory Network Analysis

Cited by 125

Mixed-Privacy Forgetting in Deep Networks

Golatkar, A., Achille, A., Ravichandran, A., Polito, M., & Soatto, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 125

Abstraction and analogy‐making in artificial intelligence

Mitchell, M. (2021) · Annals of the New York Academy of Sciences

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Cited by 125

S-Box Based Image Encryption Application Using a Chaotic System without Equilibrium

Wang, X., Çavuşoğlu, Ü., Kacar, S., Akgul, A., Pham, V.-T., Jafari, S., Alsaadi, F. E., & Nguyen, X. Q. (2019) · Applied Sciences

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 125

Explainable AI for data-driven feedback and intelligent action recommendations to support students self-regulation

Afzaal, M., Nouri, J., Zia, A., Papapetrou, P., Fors, U., Wu, Y., Li, X., & Weegar, R. (2021) · Frontiers in Artificial Intelligence

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 125

DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints

Han, L., Lin, Y., Du, G., & Lian, S. (2019) · 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 125

Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?

Miceli, M., Posada, J., & Yang, T. (2022) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 125

Learning for Personalized Medicine: A Comprehensive Review From a Deep Learning Perspective

Zhang, S., Bamakan, S. M. H., Qu, Q., & Li, S. (2019) · IEEE Reviews in Biomedical Engineering

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 125

Inverse Reward Design

Hadfield-Menell, D., Milli, S., Abbeel, P., Russell, S., & Dragan, A. (2017) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 125

Personifying programming tool feedback improves novice programmers' learning

Lee, M. J., & Ko, A. J. (2011) · Proceedings of the seventh international workshop on Computing education research

Teaching and Learning ProgrammingEducational Games and Gamification

Cited by 125