Check computer science papers: citations, claims and retractions

First Fully Pipelined High Throughput FPGA Implementation and GPU Optimization of Wider Variant of AES

Malal, A., & Tezcan, C. (2026) · Journal of Cryptographic Engineering

Cryptographic Implementations and SecurityCryptography and Residue Arithmetic

Cited by 4

Frameworks encompassing intersectional perspective of artificial intelligence in healthcare. Scoping review

Amaya-Santos, S., Vargas, C., & Bermúdez-Tamayo, C. (2026) · Public Health in Practice

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 4

Optimizing Quality-of-Experience for HTTP-based Adaptive Video Streaming: An SDN-based Approach

Ramakrishnan, S., Zhu, X., Chan, F., Kambhatla, K. K. R., Lu, Z., Chan, C., & Krishnamurthy, B. (2016) · International Journal of Multimedia Data Engineering and Management

Network Traffic and Congestion ControlImage and Video Quality Assessment

Cited by 4

Diffusion Deepfake

Bhattacharyya, C., Wang, H., Zhang, F., Kim, S., & Zhu, X. (2024) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 4

An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context

Chen, X., Zhu, X., Zheng, Y., Zhang, P., Zhao, L., Cheng, W., Cheng, P., Xiong, Y., Qin, T., Chen, J., et al. (2022) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 4

Generative Network Design for Multi-Agent Coordination: A VAE-Assisted Deep RL Approach

Chen, Q., & Heydari, B. (2025) · Journal of Mechanical Design

Reinforcement Learning in RoboticsNeural Networks and Applications

Cited by 4

The Expressive Capacity of State Space Models: A Formal Language Perspective

Sarrof, Y., Veitsman, Y., & Hahn, M. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingNatural Language Processing Techniques

Cited by 4

Evaluation and Analysis of Interferograms from an InSAR Radar Encrypted by an AES-Based Cryptosystem with The Five Encryption Modes

(LABGET) Laboratory, L. T. T. U., Saidi, R., Bentahar, T., (LABGET) Laboratory, L. T. T. U., Cherrid, N., Electronic Department, M. B. B.-2. U., Bentahar, A., (LAMIS) Laboratory, L. T. T. U., Mayache, H., & Higher School of Industrial Technologies-Annaba, A.-2. (2020) · International Journal on Electrical Engineering and Informatics

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 4

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

Akyürek, A. F., Akyürek, E., Madaan, A., Kalyan, A., Clark, P., Wijaya, D., & Tandon, N. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

On the Role of Context Length for Feature Extraction and Sequence Modeling in Human Activity Recognition

Hiremath, S. K., & Ploetz, T. (2021) · 2021 International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 4

AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising

Guo, Z., & Yu, S. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 4

Why is plausibility surprisingly problematic as an XAI criterion?

Jin, W., Li, X., & Hamarneh, G. (2023) · arXiv

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

Cited by 4

A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems

Pagan, N., Baumann, J., Elokda, E., De Pasquale, G., Bolognani, S., & Hannák, A. (2023) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 4

On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference

Baioumy, M., Lacerda, B., Duckworth, P., & Hawes, N. (2021) · Communications in Computer and Information Science

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 4

Pain versus Affect? An Investigation in the Relationship between Observed Emotional States and Self-Reported Pain

Tsai, F.-S., Weng, Y.-M., Ng, C.-J., & Lee, C.-C. (2019) · 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

Emotion and Mood RecognitionPediatric Pain Management Techniques

Cited by 4

Pairwise Proximal Policy Optimization: Harnessing Relative Feedback for LLM Alignment

Wu, T., Zhu, B., Zhang, R., Wen, Z., Ramchandran, K., & Jiao, J. (2023) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 4

A Zero-Touch Dynamic Configuration Management Framework for Time-Sensitive Networking (TSN)

Jiang, J., Jin, S., Li, X., Zhang, K., & Sun, B. (2025) · Entropy

Network Time Synchronization TechnologiesSoftware-Defined Networks and 5G

Cited by 4

Using Natural Language Explanations to Rescale Human Judgments

Wadhwa, M., Chen, J., Li, J. J., & Durrett, G. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

Towards Automatically Setting Language Bias in Relational Learning

Picado, J., Termehchy, A., Fern, A., & Pathak, S. (2017) · Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning

Data Mining Algorithms and ApplicationsAdvanced Database Systems and Queries

Cited by 4

Avoiding determinism: New research into the discovery of information

Erdelez, S., Budd, J. M., Rubin, V. L., Burkell, J., & Quan‐Haase, A. (2011) · Proceedings of the American Society for Information Science and Technology

Information Retrieval and Search BehaviorScientific Research and Philosophical Inquiry

Cited by 4

Improving postsurgical fall detection for older Americans using LLM-driven analysis of clinical narratives

Pillai, M., Blumke, T. L., Studnia, J., Wang, Y., Veigulis, Z. P., Ware, A. D., Hoover, P. J., Carroll, I. R., Humphreys, K., Osborne, T. F., et al. (2024) · medRxiv

Machine Learning in HealthcareBalance, Gait, and Falls Prevention

Cited by 4

Who does the model learn from?

Charpignon, M.-L., Celi, L. A., & Samuel, M. C. (2021) · The Lancet Digital Health

Machine Learning in HealthcareOrgan Transplantation Techniques and Outcomes

Cited by 4

Landmark Attention: Random-Access Infinite Context Length for Transformers

Mohtashami, A., & Jaggi, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL

Li, X., Nie, E., & Liang, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4