Check computer science papers: citations, claims and retractions

Recognition of persisting emotional valence from EEG using convolutional neural networks

Yanagimoto, M., & Sugimoto, C. (2016) · 2016 IEEE 9th International Workshop on Computational Intelligence and Applications (IWCIA)

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 43

Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning

Biten, A. F., Gomez, L., & Karatzas, D. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 43

On automatically detecting similar Android apps

Linares-Vasquez, M., Holtzhauer, A., & Poshyvanyk, D. (2016) · 2016 IEEE 24th International Conference on Program Comprehension (ICPC)

Software Engineering ResearchAdvanced Malware Detection Techniques

Cited by 43

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Hou, X., Zhao, Y., Wang, S., & Wang, H. (2025) · arXiv

Information and Cyber SecurityAccess Control and Trust

Cited by 43

AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Piao, J., Yan, Y., Zhang, J., Li, N., Yan, J., Lan, X., Lu, Z., Zheng, Z., Wang, J. Y., Zhou, D., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationSimulation Techniques and Applications

Cited by 43

Toward the institutionalization of quantum computing in pharmaceutical research

Zinner, M., Dahlhausen, F., Boehme, P., Ehlers, J., Bieske, L., & Fehring, L. (2022) · Drug Discovery Today

Quantum Computing Algorithms and ArchitectureComputational Drug Discovery Methods

Cited by 43

PTQD: Accurate Post-Training Quantization for Diffusion Models

He, Y., Liu, L., Liu, J., Wu, W., Zhou, H., & Zhuang, B. (2023) · arXiv

Advanced Neural Network ApplicationsAdversarial Robustness in Machine Learning

Cited by 43

Intelligent User Interfaces and Their Evaluation: A Systematic Mapping Study

Brdnik, S., Heričko, T., & Šumak, B. (2022) · Sensors

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 43

A general approach to fairness with optimal transport

Silvia, C., Ray, J., Tom, S., Aldo, P., Heinrich, J., & John, A. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 43

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Li, Y., Wen, H., Wang, W., Li, X., Yuan, Y., Liu, G., Liu, J., Xu, W., Wang, X., Sun, Y., et al. (2024) · arXiv

Speech and dialogue systemsArtificial Intelligence Applications

Cited by 43

A MapReduce Based Approach of Scalable Multidimensional Anonymization for Big Data Privacy Preservation on Cloud

Zhang, X., Yang, C., Nepal, S., Liu, C., Dou, W., & Chen, J. (2013) · 2013 International Conference on Cloud and Green Computing

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 43

Enhanced automated code vulnerability repair using large language models

de-Fitero-Dominguez, D., Garcia-Lopez, E., Garcia-Cabot, A., & Martinez-Herraiz, J.-J. (2024) · Engineering Applications of Artificial Intelligence

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 43

Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings

Pang, G., Cao, L., Chen, L., & Liu, H. (2016) · 2016 IEEE 16th International Conference on Data Mining (ICDM)

Anomaly Detection Techniques and ApplicationsMachine Learning and Data Classification

Cited by 43

AutoAD: Movie Description in Context

Han, T., Bain, M., Nagrani, A., Varol, G., Xie, W., & Zisserman, A. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsSubtitles and Audiovisual Media

Cited by 43

Web Aesthetics Effects on User Decisions: Impact of Exposure Length on Website Quality Perceptions and Buying Intentions

Lorenzo-Romero, C., Constantinides, E., & Alarcón-del-Amo, M.-D.-C. (2013) · Journal of Internet Commerce

Usability and User Interface DesignTechnology Adoption and User Behaviour

Cited by 43

Real-time elderly activity monitoring system based on a tri-axial accelerometer

Kang, D. W., Choi, J. S., Lee, J. W., Chung, S. C., Park, S. J., & Tack, G. R. (2010) · Disability and Rehabilitation: Assistive Technology

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 43

Feature-Based Visual Sentiment Analysis of Text Document Streams

Rohrdantz, C., Hao, M. C., Dayal, U., Haug, L.-E., & Keim, D. A. (2012) · ACM Transactions on Intelligent Systems and Technology

Data Visualization and AnalyticsSentiment Analysis and Opinion Mining

Cited by 43

The five laws of SE for AI

Menzies, T. (2020) · IEEE Software

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 43

Within- and Between-Session Prefrontal Cortex Response to Virtual Reality Exposure Therapy for Acrophobia

Landowska, A., Roberts, D., Eachus, P., & Barrett, A. (2018) · Frontiers in Human Neuroscience

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

Cited by 43

Obstacles to the adoption of radio frequency identification technology in the emergency rooms of hospitals

Chen, C. C., Wu, J., & Crandall, R. E. (2007) · International Journal of Electronic Healthcare

RFID technology advancementsTechnology Adoption and User Behaviour

Cited by 43

Imitating Interactive Intelligence

Abramson, J., Ahuja, A., Barr, I., Brussee, A., Carnevale, F., Cassin, M., Chhaparia, R., Clark, S., Damoc, B., Dudzik, A., et al. (2020) · arXiv

Reinforcement Learning in RoboticsSocial Robot Interaction and HRI

Cited by 43

Explainable Artificial Intelligence for Bias Detection in COVID CT-Scan Classifiers

Palatnik de Sousa, I., Vellasco, M. M. B. R., & Costa da Silva, E. (2021) · Sensors

Explainable Artificial Intelligence (XAI)COVID-19 diagnosis using AI

Cited by 43

Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation

Li, Y., Zheng, X., Chen, C., & Liu, J. (2022) · arXiv

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 43

Exploring Adversarial Fake Images on Face Manifold

Li, D., Wang, W., Fan, H., & Dong, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 43