Check computer science papers: citations, claims and retractions

Make Your Tools Sparkle with Trust: The PICSE Framework for Trust in Software Tools

Johnson, B., Bird, C., Ford, D., Forsgren, N., & Zimmermann, T. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 27

RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling

Zhang, Y., Sun, S., Gao, X., Fang, Y., Brockett, C., Galley, M., Gao, J., & Dolan, B. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingInformation Retrieval and Search Behavior

Cited by 27

Learning State Machines to Monitor and Detect Anomalies on a Kubernetes Cluster

Cao, C., Blaise, A., Verwer, S., & Rebecchi, F. (2022) · Proceedings of the 17th International Conference on Availability, Reliability and Security

Software System Performance and ReliabilityNetwork Security and Intrusion Detection

Cited by 27

Chat with Bots Intelligently: A Critical Review & Analysis

Dsouza, R., Sahu, S., Patil, R., & Kalbande, D. R. (2019) · 2019 International Conference on Advances in Computing, Communication and Control (ICAC3)

Speech and dialogue systemsAI in Service Interactions

Cited by 27

Machine Learning in Cyberbullying Detection from Social-Media Image or Screenshot with Optical Character Recognition

Department of Computer Science, A. I. U.-B., Sultan, T., Jahan, N., Basak, R., Jony, M. S. A., & Nabil, R. H. (2023) · International Journal of Intelligent Systems and Applications

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 27

Detecting Language Model Attacks with Perplexity

Alon, G., & Kamfonas, M. (2023) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 27

Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives

Zhang, W., Shen, Y., Wu, L., Peng, Q., Wang, J., Zhuang, Y., & Lu, W. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 27

Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks

Pasquini, D., Strohmeier, M., & Troncoso, C. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 27

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs

Mazeika, M., Yin, X., Tamirisa, R., Lim, J., Lee, B. W., Ren, R., Phan, L., Mu, N., Khoja, A., Zhang, O., et al. (2025) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 27

Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation

Zhou, C., Kadambi, P., Mattina, M., & Whatmough, P. N. (2020) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 27

Recommendations to Create Programming Exercises to Overcome ChatGPT

Berrezueta-Guzman, J., & Krusche, S. (2023) · IEEE International Conference on Software Engineering Education and Training (CSEE&T)

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 27

Empowering a Creative City: Engage Citizens in Creating Street Art through Human-AI Collaboration

Li, Z., Wang, Y., Wang, W., Greuter, S., & Mueller, F. '. (2020) · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Digital Media and Visual ArtPublic Spaces through Art

Cited by 27

Even when you are a solution you are a problem: an uncomfortable reflection on feminist data ethics

Hoffmann, A. L. (2021) · Global Perspectives

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 26

Encryption Inspired Adversarial Defense For Visual Classification

Maung, M., Pyone, A., & Kiya, H. (2020) · 2020 IEEE International Conference on Image Processing (ICIP)

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 26

Computational Notebooks as Co-Design Tools: Engaging Young Adults Living with Diabetes, Family Carers, and Clinicians with Machine Learning Models

Ayobi, A., Hughes, J., Duckworth, C. J., Dylag, J. J., Gordon James, S., Marshall, P., Guy, M., Kumaran, A., Chapman, A., Boniface, M., et al. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

Cited by 26

Principles Governing Ethical Development and Deployment of AI

Shukla, S. (2024) · International Journal of Engineering Business and Management

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 26

Automatic Inference and Measurement of 3D Carpal Bone Kinematics From Single View Fluoroscopic Sequences

Chen, X., Graham, J., Hutchinson, C., & Muir, L. (2013) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 26

ASR satisficing: the effects of ASR accuracy on speech retrieval

Stark, L., Whittaker, S., & Hirschberg, J. (2000) · 6th International Conference on Spoken Language Processing (ICSLP 2000)

Information Retrieval and Search BehaviorSpeech Recognition and Synthesis

Cited by 26

5G Network Slicing: Security Challenges, Attack Vectors, and Mitigation Approaches

Dias, J., Pinto, P., Santos, R., & Malta, S. (2025) · Sensors

Software-Defined Networks and 5GCybersecurity and Information Systems

Cited by 26

Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation

Xiong, Z., Wang, Y., Zhang, F., Stewart, A. J., Hanna, J., Borth, D., Papoutsis, I., Saux, B. L., Camps-Valls, G., & Zhu, X. X. (2024) · arXiv

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 26

Geometry-aware recurrent neural networks for active visual recognition

Cheng, R., Wang, Z., & Fragkiadaki, K. (2018) · arXiv

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 26

Understanding How Programmers Can Use Annotations on Documentation

Horvath, A., Liu, M. X., Hendriksen, R., Shannon, C., Paterson, E., Jawad, K., Macvean, A., & Myers, B. A. (2022) · CHI Conference on Human Factors in Computing Systems

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 26

Video demoiréing with relation-based temporal consistency

Dai, P., Yu, X., Ma, L., Zhang, B., Li, J., Li, W., Shen, J., & Qi, X. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Image Processing TechniquesImage Enhancement Techniques

Cited by 26

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Feng, J., Sun, Q., Xu, C., Zhao, P., Yang, Y., Tao, C., Zhao, D., & Lin, Q. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsMultimodal Machine Learning Applications

Cited by 26