Check computer science papers: citations, claims and retractions

DocPrompting: Generating Code by Retrieving the Docs

Zhou, S., Alon, U., Xu, F. F., Wang, Z., Jiang, Z., & Neubig, G. (2022) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 33

Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness

Donahue, K., Chouldechova, A., & Kenthapadi, K. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIMachine Learning and Algorithms

Cited by 33

IEEE Guide for Architectural Framework and Application of Federated Machine Learning

(2021)

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 33

Unveiling Copy-Move Forgeries: Enhancing Detection With SuperPoint Keypoint Architecture

Diwan, A., Kumar, D., Mahadeva, R., Perera, H. C. S., & Alawatugoda, J. (2023) · IEEE Access

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 33

i-Blockchain: A Blockchain-Empowered Individual-Centric Framework for Privacy-Preserved Use of Personal Health Data

Ito, K., Tago, K., & Jin, Q. (2018) · 2018 9th International Conference on Information Technology in Medicine and Education (ITME)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 33

MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection

Coccomini, D. A., Zilos, G. K., Amato, G., Caldelli, R., Falchi, F., Papadopoulos, S., & Gennaro, C. (2024) · IEEE Transactions on Information Forensics and Security

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 33

Practical Issues with TLS Client Certificate Authentication

Parsovs, A. (2014) · Proceedings 2014 Network and Distributed System Security Symposium

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 33

Cyberbullying Detection using LSTM-CNN architecture and its applications

Gada, M., Damania, K., & Sankhe, S. (2021) · 2021 International Conference on Computer Communication and Informatics (ICCCI)

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 33

Dancing in the Dark: A Benchmark towards General Low-light Video Enhancement

Fu, H., Zheng, W., Wang, X., Wang, J., Zhang, H., & Ma, H. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Image Enhancement TechniquesAdvanced Image Processing Techniques

Cited by 33

Objective Mismatch in Model-based Reinforcement Learning

Lambert, N., Amos, B., Yadan, O., & Calandra, R. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 33

Real-Time Data Processing Architecture for Multi-Robots Based on Differential Federated Learning

Zhou, W., Li, Y., Chen, S., & Ding, B. (2018) · 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 33

Application of Artificial Intelligence for Nasopharyngeal Carcinoma Management – A Systematic Review

Ng, W. T., But, B., Choi, H. C., de Bree, R., Lee, A. W., Lee, V. H., López, F., Mäkitie, A. A., Rodrigo, J. P., Saba, N. F., et al. (2022) · Cancer Management and Research

AI in cancer detectionHead and Neck Cancer Studies

Cited by 33

Designing a Mobile Game to Teach Conceptual Knowledge of Avoiding “Phishing Attacks”

Arachchilage, N. A. G., Love, S., & Scott, M. (2012) · International Journal for e-Learning Security

Spam and Phishing DetectionEducational Games and Gamification

Cited by 33

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Zhu, X., Chen, Y., Tian, H., Tao, C., Su, W., Yang, C., Huang, G., Li, B., Lu, L., Wang, X., et al. (2023) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 33

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Shah, C., White, R. W., Andersen, R., Buscher, G., Counts, S., Das, S. S. S., Montazer, A., Manivannan, S., Neville, J., Ni, X., et al. (2023) · arXiv

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 33

Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning

McKee, K. R., Gemp, I., McWilliams, B., Duèñez-Guzmán, E. A., Hughes, E., & Leibo, J. Z. (2020) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsExperimental Behavioral Economics Studies

Cited by 33

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations

Adam, H., Yang, M. Y., Cato, K., Baldini, I., Senteio, C., Celi, L. A., Zeng, J., Singh, M., & Ghassemi, M. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIMachine Learning in Healthcare

Cited by 33

Learning a Product Relevance Model from Click-Through Data in E-Commerce

Yao, S., Tan, J., Chen, X., Yang, K., Xiao, R., Deng, H., & Wan, X. (2021) · Proceedings of the Web Conference 2021

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 33

Fast Convergence Algorithm for Analog Federated Learning

Xia, S., Zhu, J., Yang, Y., Zhou, Y., Shi, Y., & Chen, W. (2021) · ICC 2021 - IEEE International Conference on Communications

Privacy-Preserving Technologies in DataDistributed Sensor Networks and Detection Algorithms

Cited by 33

Short paper: security evaluation of IEEE 802.11w specification

Ahmad, M. S., & Tadakamadla, S. (2011) · Proceedings of the fourth ACM conference on Wireless network security

Wireless Networks and ProtocolsNetwork Security and Intrusion Detection

Cited by 33

A Critical Evaluation of Evaluations for Long-form Question Answering

Xu, F., Song, Y., Iyyer, M., & Choi, E. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 33

Identifying potential design features of a smart learning environment for programming education in Nigeria

Agbo, F. J., Oyelere, S. S., Suhonen, J., & Tukiainen, M. (2019) · International Journal of Learning Technology

Teaching and Learning ProgrammingEducation and Learning Interventions

Cited by 33

Identifying and Eliminating CSAM in Generative ML Training Data and Models

Thiel, D., & Hancock, J. (2025) · Stanford Digital Repository

Digital Media Forensic DetectionHate Speech and Cyberbullying Detection

Cited by 33

Virtually unexpected: No role for expectancy violation in virtual reality exposure for public speaking anxiety

Scheveneels, S., Boddez, Y., Van Daele, T., & Hermans, D. (2019) · Frontiers in Psychology

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

Cited by 33