Check computer science papers: citations, claims and retractions

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Malinin, A., Band, N., Ganshin, A., Chesnokov, G., Gal, Y., Gales, M. J. F., Noskov, A., Ploskonosov, A., Prokhorenkova, L., Provilkov, I., et al. (2021) · arXiv

Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning

Cited by 48

Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making

Ma, S., Chen, Q., Wang, X., Zheng, C., Peng, Z., Yin, M., & Ma, X. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems

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

Cited by 48

Large language models, social demography, and hegemony: comparing authorship in human and synthetic text

Alvero, A. J., Lee, J., Regla-Vargas, A., Kizilcec, R. F., Joachims, T., & Antonio, A. L. (2024) · Journal of Big Data

Authorship Attribution and ProfilingEthics and Social Impacts of AI

Cited by 48

Subsystem codes with high thresholds by gauge fixing and reduced qubit overhead

Higgott, O., & Breuckmann, N. P. (2021) · Physical Review X

Quantum Computing Algorithms and ArchitectureError Correcting Code Techniques

Cited by 48

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts

Zhang, Z., Lin, Y., Liu, Z., Li, P., Sun, M., & Zhou, J. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Advanced Neural Network ApplicationsTopic Modeling

Cited by 48

An expert system for multiple emotional classification of facial expressions

Pantic, M., & Rothkrantz, L. J. M. (2003) · Proceedings 11th International Conference on Tools with Artificial Intelligence

Emotion and Mood RecognitionFace recognition and analysis

Cited by 48

Approaching the Real-World: Supporting Activity Recognition Training with Virtual IMU Data

Kwon, H., Wang, B., Abowd, G. D., & Plötz, T. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 48

The role of context fusion on accuracy, beyond-accuracy, and fairness of point-of-interest recommendation systems

Rahmani, H. A., Deldjoo, Y., & di Noia, T. (2022) · Expert Systems with Applications

Recommender Systems and TechniquesHuman Mobility and Location-Based Analysis

Cited by 48

Likelihood of Questioning AI-Based Recommendations Due to Perceived Racial/Gender Bias

Parra, C. M., Gupta, M., & Dennehy, D. (2022) · IEEE Transactions on Technology and Society

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 48

Does My Rebuttal Matter? Insights from a Major NLP Conference

Gao, Y., Eger, S., Kuznetsov, I., Gurevych, I., & Miyao, Y. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 48

Fully Unsupervised Deepfake Video Detection Via Enhanced Contrastive Learning

Qiao, T., Xie, S., Chen, Y., Retraint, F., & Luo, X. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 48

True Random Number Generation Via Sampling From Flat Band-Limited Gaussian Processes

Gov, N. C., Mihcak, M. K., & Ergun, S. (2011) · IEEE Transactions on Circuits and Systems I: Regular Papers

Physical Unclonable Functions (PUFs) and Hardware SecurityChaos-based Image/Signal Encryption

Cited by 48

On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning

Thudi, A., Jia, H., Shumailov, I., & Papernot, N. (2021) · arXiv

Privacy-Preserving Technologies in DataEthics and Social Impacts of AI

Cited by 48

Banff Digital Pathology Working Group: Going Digital in Transplant Pathology

Farris, A. B., Moghe, I., Wu, S., Hogan, J., Cornell, L. D., Alexander, M. P., Kers, J., Demetris, A. J., Levenson, R. M., Tomaszewski, J., et al. (2020) · American Journal of Transplantation

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 48

The HaLLMark Effect: Supporting Provenance and Transparent Use of Large Language Models in Writing with Interactive Visualization

Hoque, M. N., Mashiat, T., Ghai, B., Shelton, C. D., Chevalier, F., Kraus, K., & Elmqvist, N. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIArt, Technology, and Culture

Cited by 48

User Modeling for Task Oriented Dialogues

Gur, I., Hakkani-Tur, D., Tur, G., & Shah, P. (2018) · 2018 IEEE Spoken Language Technology Workshop (SLT)

Speech and dialogue systemsAI in Service Interactions

Cited by 48

Don't forget about the sweat: effortful embodied interaction in support of learning

Lyons, L., Slattery, B., Jimenez, P., Lopez, B., & Moher, T. (2012) · Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction

Innovative Human-Technology InteractionInteractive and Immersive Displays

Cited by 48

The False Promise of Imitating Proprietary LLMs

Gudibande, A., Wallace, E., Snell, C., Geng, X., Liu, H., Abbeel, P., Levine, S., & Song, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 48

Ai in Energy: Overcoming Unforeseen Obstacles

Danish, M. S. S. (2023) · AI

Artificial Intelligence ApplicationsEnergy, Economy, and Technology Trends

Cited by 48

Virtual reality exposure therapy for fear of driving: analysis of clinical characteristics, physiological response, and sense of presence

Costa, R. T. D., Carvalho, M. R. D., Ribeiro, P., & Nardi, A. E. (2018) · Revista Brasileira de Psiquiatria

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 48

Reverse Engineering IoT Devices: Effective Techniques and Methods

Shwartz, O., Mathov, Y., Bohadana, M., Elovici, Y., & Oren, Y. (2018) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingSecurity and Verification in Computing

Cited by 48

Code Review Automation: Strengths and Weaknesses of the State of the Art

Tufano, R., Dabić, O., Mastropaolo, A., Ciniselli, M., & Bavota, G. (2024) · IEEE Transactions on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 48

Segmentation label propagation using deep convolutional neural networks and dense conditional random field

Gao, M., Xu, Z., Lu, L., Wu, A., Nogues, I., Summers, R. M., & Mollura, D. J. (2016) · 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 48

Explaining Deep Learning for ECG Analysis: Building Blocks for Auditing and Knowledge Discovery

Wagner, P., Mehari, T., Haverkamp, W., & Strodthoff, N. (2024) · Computers in Biology and Medicine

Explainable Artificial Intelligence (XAI)ECG Monitoring and Analysis

Cited by 48