Check computer science papers: citations, claims and retractions

Knowledge Neurons in Pretrained Transformers

Dai, D., Dong, L., Hao, Y., Sui, Z., Chang, B., & Wei, F. (2021) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 39

Vision-LSTM: xLSTM as Generic Vision Backbone

Alkin, B., Beck, M., Pöppel, K., Hochreiter, S., & Brandstetter, J. (2024) · arXiv

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 39

Towards reliable generative AI-driven scaffolding: Reducing hallucinations and enhancing quality in self-regulated learning support

Qian, K., Liu, S., Li, T., Raković, M., Li, X., Guan, R., Molenaar, I., Nawaz, S., Swiecki, Z., Yan, L., et al. (2026) · Computers & Education

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 39

SITUP: Scale Invariant Tracking Using Average Peak-to-Correlation Energy

Ma, H., Acton, S. T., & Lin, Z. (2020) · IEEE Transactions on Image Processing

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 39

Hybrid Quantum Annealing for Larger-than-QPU Lattice-structured Problems

Raymond, J., Stevanovic, R., Bernoudy, W., Boothby, K., McGeoch, C. C., Berkley, A. J., Farré, P., Pasvolsky, J., & King, A. D. (2023) · ACM Transactions on Quantum Computing

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 39

Integrating Generative AI into Programming Education: Student Perceptions and the Challenge of Correcting AI Errors

Kohen-Vacs, D., Usher, M., & Jansen, M. (2025) · International Journal of Artificial Intelligence in Education

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 39

Overcoming a Theoretical Limitation of Self-Attention

Chiang, D., & Cholak, P. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

semigroups and automata theoryNatural Language Processing Techniques

Cited by 39

Skill Induction and Planning with Latent Language

Sharma, P., Torralba, A., & Andreas, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 39

Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition

Zhao, J., Li, R., Jin, Q., Wang, X., & Li, H. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 39

Read and Attend: Temporal Localisation in Sign Language Videos

Varol, G., Momeni, L., Albanie, S., Afouras, T., & Zisserman, A. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Hand Gesture Recognition SystemsHuman Pose and Action Recognition

Cited by 39

SafeEar: Content Privacy-Preserving Audio Deepfake Detection

Li, X., Li, K., Zheng, Y., Yan, C., Ji, X., & Xu, W. (2024) · Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Digital Media Forensic DetectionSpeech Recognition and Synthesis

Cited by 39

Enhancing Cyber Security Governance and Policy for SMEs in Industry 5.0: A Comparative Study between Saudi Arabia and the United Kingdom

Rawindaran, N., Nawaf, L., Alarifi, S., Alghazzawi, D., Carroll, F., Katib, I., & Hewage, C. (2023) · Digital

Information and Cyber SecurityCybersecurity and Cyber Warfare Studies

Cited by 39

Interpreting Neural Networks through the Polytope Lens

Black, S., Sharkey, L., Grinsztajn, L., Winsor, E., Braun, D., Merizian, J., Parker, K., Guevara, C. R., Millidge, B., Alfour, G., et al. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 39

Link quality estimation with the Gilbert-Elliot model for wireless sensor networks

Bildea, A., Alphand, O., Rousseau, F., & Duda, A. (2015) · 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

Energy Efficient Wireless Sensor NetworksSecurity in Wireless Sensor Networks

Cited by 39

Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants

Aloufi, R., Haddadi, H., & Boyle, D. (2019) · arXiv

Privacy-Preserving Technologies in DataSpeech Recognition and Synthesis

Cited by 39

Low-Cost IoT: A Holistic Approach

Ciuffoletti, A. (2018) · Journal of Sensor and Actuator Networks

IoT and Edge/Fog ComputingIoT Networks and Protocols

Cited by 39

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification

Li, C., Stevens, A., Chen, C., Pu, Y., Gan, Z., & Carin, L. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsGaussian Processes and Bayesian Inference

Cited by 39

The Long Road Ahead: Ongoing Challenges in Contributing to Large OSS Organizations and What to Do

Guizani, M., Chatterjee, A., Trinkenreich, B., May, M. E., Noa-Guevara, G. J., Russell, L. J., Cuevas Zambrano, G. G., Izquierdo-Cortazar, D., Steinmacher, I., Gerosa, M. A., et al. (2021) · Proceedings of the ACM on Human-Computer Interaction

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 39

CKConv: Continuous Kernel Convolution For Sequential Data

Romero, D. W., Kuzina, A., Bekkers, E. J., Tomczak, J. M., & Hoogendoorn, M. (2021) · arXiv

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 39

Need a Programming Exercise Generated in Your Native Language? ChatGPT's Got Your Back: Automatic Generation of Non-English Programming Exercises Using OpenAI GPT-3.5

Jordan, M., Ly, K., & Soosai Raj, A. G. (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 39

ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition

Desai, A., Berger, L., Minakov, F., Milano, N., Singh, C., Pumphrey, K., Ladner, R., III, H. D., Lu, A. X., Caselli, N., et al. (2023) · Advances in Neural Information Processing Systems 36

Hand Gesture Recognition SystemsHearing Impairment and Communication

Cited by 39

Applying optimized YOLOv8 for heritage conservation: enhanced object detection in Jiangnan traditional private gardens

Gao, C., Zhang, Q., Tan, Z., Zhao, G., Gao, S., Kim, E., & Shen, T. (2024) · Heritage Science

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 39

A Survey of Automated Programming Hint Generation: The HINTS Framework

McBroom, J., Koprinska, I., & Yacef, K. (2022) · ACM Computing Surveys

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 39

Morphing Quantum Codes

Vasmer, M., & Kubica, A. (2022) · PRX Quantum

Quantum Computing Algorithms and ArchitectureCoding theory and cryptography

Cited by 39