Check computer science papers: citations, claims and retractions

On Cryptographic Mechanisms for the Selective Disclosure of Verifiable Credentials

Flamini, A., Sciarretta, G., Scuro, M., Sharif, A., Tomasi, A., & Ranise, S. (2024) · arXiv

Cryptography and Data SecurityAdvanced Authentication Protocols Security

Cited by 24

On the Reliability of In-Memory Computing: Impact of Temperature on Ferroelectric TCAM

Thomann, S., Li, C., Zhuo, C., Prakash, O., Yin, X., Hu, X. S., & Amrouch, H. (2021) · 2021 IEEE 39th VLSI Test Symposium (VTS)

Network Packet Processing and OptimizationFerroelectric and Negative Capacitance Devices

Cited by 24

Membership Inference Attacks Against Sequential Recommender Systems

Zhu, Z., Wu, C., Fan, R., Lian, D., & Chen, E. (2023) · Proceedings of the ACM Web Conference 2023

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 24

A novel framework for segmentation of small targets in medical images

Zhao, L., Wang, T., Chen, Y., Zhang, X., Tang, H., Lin, F., Li, C., Li, Q., Tan, T., Kang, D., et al. (2025) · Scientific Reports

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 24

Deriving quests from open world mechanics

Alexander, R., & Martens, C. (2017) · Proceedings of the 12th International Conference on the Foundations of Digital Games

Artificial Intelligence in GamesDigital Games and Media

Cited by 24

Thumbnail-preserving encryption based on improved logistic system

Zhu, Z., & Liu, L. (2022) · Journal of King Saud University - Computer and Information Sciences

Chaos-based Image/Signal EncryptionCloud Data Security Solutions

Cited by 24

DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning

Jiang, Z., Xie, Y., Lin, K., Xu, Z., Wan, W., Mandlekar, A., Fan, L. J., & Zhu, Y. (2025) · 2025 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 24

TaskBench: Benchmarking Large Language Models for Task Automation

Shen, Y., Song, K., Tan, X., Zhang, W., Ren, K., Yuan, S., Lu, W., Li, D., & Zhuang, Y. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 24

Generative Temporal Difference Learning for Infinite-Horizon Prediction

Janner, M., Mordatch, I., & Levine, S. (2020) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 24

Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve

Agrawal, A., Kedia, N., Panwar, A., Mohan, J., Kwatra, N., Gulavani, B. S., Tumanov, A., & Ramjee, R. (2024) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 24

The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication

Kadoma, K., Aubin Le Quere, M., Fu, X. J., Munsch, C., Metaxa, D., & Naaman, M. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 24

Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic

Zhang, K., Chen, K., Li, Z., Chen, J., & Zheng, Y. (2024) · IEEE Transactions on Intelligent Transportation Systems

Privacy-Preserving Technologies in DataTraffic control and management

Cited by 24

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses

Zheng, X., Pang, T., Du, C., Liu, Q., Jiang, J., & Lin, M. (2024) · Advances in Neural Information Processing Systems 37

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 24

Automated activity-aware prompting for activity initiation

Holder, L. B., & Cook, D. J. (2013) · Gerontechnology

Context-Aware Activity Recognition SystemsTechnology Use by Older Adults

Cited by 24

A survey of post-hoc xai methods from a visualization perspective: Challenges and opportunities

Bhati, D., Amiruzzaman, M., Zhao, Y., Guercio, A., & Le, T. (2025) · IEEE Access

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 24

Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements

Schmidhuber, J. (2003) · arXiv

Computability, Logic, AI AlgorithmsLogic, programming, and type systems

Cited by 24

Activity recognition using inertial sensors and a 2-D convolutional neural network

Wagner, D., Kalischewski, K., Velten, J., & Kummert, A. (2017) · 2017 10th International Workshop on Multidimensional (nD) Systems (nDS)

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 24

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models

Qian, C., Han, C., Fung, Y., Qin, Y., Liu, Z., & Ji, H. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 24

Delusions by design? How everyday AIs might be fuelling psychosis (and what can be done about it)

Morrin, H., Nicholls, L., Levin, M., Yiend, J., Iyengar, U., DelGuidice, F., Bhattacharyya, S., MacCabe, J., Tognin, S., Twumasi, R., et al. (2025)

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 24

Realization of a quantum algorithm using a trapped electron

Ciaramicoli, G., Marzoli, I., & Tombesi, P. (2001) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum and electron transport phenomena

Cited by 24

Deepfake audio detection with spectral features and ResNeXt-based architecture

Tahaoglu, G., Baracchi, D., Shullani, D., Iuliani, M., & Piva, A. (2025) · Knowledge-Based Systems

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 24

Social-Guard: Detecting Scammers in Online Dating

Al-Rousan, S., Abuhussein, A., Alsubaei, F., Kahveci, O., Farra, H., & Shiva, S. (2020) · 2020 IEEE International Conference on Electro Information Technology (EIT)

Spam and Phishing DetectionCybercrime and Law Enforcement Studies

Cited by 24

Social determinants of health extraction from clinical notes across institutions using large language models

Keloth, V. K., Selek, S., Chen, Q., Gilman, C., Fu, S., Dang, Y., Chen, X., Hu, X., Zhou, Y., He, H., et al. (2025) · npj Digital Medicine

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 24

Exploring the potential use of the metaverse in nurse education through a mock trial

Lee, H., Yi, Y., Moon, W., & Yeo, J.-Y. (2023) · Nurse Education Today

Virtual Reality Applications and ImpactsSimulation-Based Education in Healthcare

Cited by 24