Check computer science papers: citations, claims and retractions

Censored Planet: An Internet-wide, Longitudinal Censorship Observatory

Sundara Raman, R., Shenoy, P., Kohls, K., & Ensafi, R. (2020) · Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security

Internet Traffic Analysis and Secure E-votingFreedom of Expression and Defamation

Cited by 75

Post-quantum WireGuard

Hülsing, A., Ning, K.-C., Schwabe, P., Weber, F. J., & Zimmermann, P. R. (2021) · 2021 IEEE Symposium on Security and Privacy (SP)

Cryptography and Data SecurityAdvanced Authentication Protocols Security

Cited by 75

Security Weaknesses of Copilot-Generated Code in GitHub Projects: An Empirical Study

Fu, Y., Liang, P., Tahir, A., Li, Z., Shahin, M., Yu, J., & Chen, J. (2023) · arXiv

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 75

Longitudinal study of ASR performance on ageing voices

Vipperla, R., Renals, S., & Frankel, J. (2008) · Interspeech 2008

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 75

A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation

Juraska, J., Karagiannis, P., Bowden, K., & Walker, M. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 75

Artificial Superintelligence

Yampolskiy, R. V. (2015) · Chapman & Hall/CRC eBooks

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 75

Applications of artificial intelligence−machine learning for detection of stress: a critical overview

Mentis, A.-F. A., Lee, D., & Roussos, P. (2024) · Molecular Psychiatry

Emotion and Mood RecognitionArtificial Intelligence in Healthcare

Cited by 75

Agent AI: Surveying the Horizons of Multimodal Interaction

Durante, Z., Huang, Q., Wake, N., Gong, R., Park, J. S., Sarkar, B., Taori, R., Noda, Y., Terzopoulos, D., Choi, Y., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 75

Federated Learning Approach for Secured Medical Recommendation in Internet of Medical Things Using Homomorphic Encryption

Mantey, E. A., Zhou, C., Anajemba, J. H., Arthur, J. K., Hamid, Y., Chowhan, A., & Otuu, O. O. (2024) · IEEE Journal of Biomedical and Health Informatics

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 75

RRIDs: a simple step toward improving reproducibility through rigor and transparency of experimental methods

Bandrowski, A. E., & Martone, M. E. (2016) · Neuron

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 75

New Technologies for the Understanding, Assessment, and Intervention of Emotion Regulation

Colombo, D., Fernández-Álvarez, J., García Palacios, A., Cipresso, P., Botella, C., & Riva, G. (2019) · Frontiers in Psychology

Emotion and Mood RecognitionNeural and Behavioral Psychology Studies

Cited by 75

Red-Teaming for Generative AI: Silver Bullet or Security Theater?

Feffer, M., Sinha, A., Deng, W. H., Lipton, Z. C., & Heidari, H. (2024) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 75

Implicit Bias of Gradient Descent on Linear Convolutional Networks

Gunasekar, S., Lee, J., Soudry, D., & Srebro, N. (2018) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 75

Graph neural networks for multivariate time series regression with application to seismic data

Bloemheuvel, S., van den Hoogen, J., Jozinović, D., Michelini, A., & Atzmueller, M. (2023) · International Journal of Data Science and Analytics

Time Series Analysis and ForecastingAdvanced Graph Neural Networks

Cited by 75

Unsupervised Paraphrasing by Simulated Annealing

Liu, X., Mou, L., Meng, F., Zhou, H., Zhou, J., & Song, S. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 75

CubeMuseum AR: A Tangible Augmented Reality Interface for Cultural Heritage Learning and Museum Gifting

Xu, N., Li, Y., Wei, X., Xie, L., Yu, L., & Liang, H.-N. (2024) · International Journal of Human–Computer Interaction

Augmented Reality ApplicationsInteractive and Immersive Displays

Cited by 75

Stacked one-class broad learning system for intrusion detection in industry 4.0

Yang, K., Shi, Y., Yu, Z., Yang, Q., Sangaiah, A. K., & Zeng, H. (2023) · IEEE Transactions on Industrial Informatics

Network Security and Intrusion DetectionArtificial Immune Systems Applications

Cited by 75

An effective computer aided diagnosis model for pancreas cancer on PET/CT images

Li, S., Jiang, H., Wang, Z., Zhang, G., & Yao, Y.-D. (2018) · Computer Methods and Programs in Biomedicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 75

Do Large Language Models Know What They Don’t Know?

Yin, Z., Sun, Q., Guo, Q., Wu, J., Qiu, X., & Huang, X. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 75

Biomechanically constrained non-rigid mr-trus prostate registration using deep learning based 3d point cloud matching

Fu, Y., Lei, Y., Wang, T., Patel, P., Jani, A. B., Mao, H., Curran, W. J., Liu, T., & Yang, X. (2021) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 75

Agentic Large Language Models, a Survey

Plaat, A., Van Duijn, M., Van Stein, N., Preuss, M., Van der Putten, P., & Batenburg, K. J. (2025) · Journal of Artificial Intelligence Research

Topic ModelingAI-based Problem Solving and Planning

Cited by 75

How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking

De Cao, N., Schlichtkrull, M. S., Aziz, W., & Titov, I. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 75

The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions

Walsh, C., & Hripcsak, G. (2014) · Journal of Biomedical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 75

DiaryMate: Understanding User Perceptions and Experience in Human-AI Collaboration for Personal Journaling

Kim, T., Shin, D., Kim, Y.-H., & Hong, H. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 75