Check computer science papers: citations, claims and retractions

The Impact of Generative AI on Creativity in Software Development: A Research Agenda

Jackson, V., Vasilescu, B., Russo, D., Ralph, P., Prikladnicki, R., Izadi, M., D’Angelo, S., Inman, S., Andrade, A., & van der Hoek, A. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 23

Teaching User Centered Conceptual Design Using Cross-Cultural Personas and Peer Reviews for a Large Cohort of Students

Anvari, F., Richards, D., Hitchens, M., & Tran, H. M. T. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

Persona Design and ApplicationsDesign Education and Practice

Cited by 23

Coughtrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-Efficient Sensitivity-Prioritized Time Series Classifier

Zhang, S., Nemati, E., Dinh, M., Folkman, N., Ahmed, T., Rahman, M., Kuang, J., Alshurafa, N., & Gao, A. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Context-Aware Activity Recognition SystemsPhonocardiography and Auscultation Techniques

Cited by 23

Memory OS of AI Agent

Kang, J., Ji, M., Zhao, Z., & Bai, T. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 23

Finite Scalar Quantization: VQ-VAE Made Simple

Mentzer, F., Minnen, D., Agustsson, E., & Tschannen, M. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 23

System design for using multimodal trace data in modeling self-regulated learning

Cloude, E. B., Azevedo, R., Winne, P. H., Biswas, G., & Jang, E. E. (2022) · Frontiers in Education

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 23

A Hierarchical Approach to Modeling and Improving the Performance of Scientific Applications on the KSR1

Boyd, E. L., Azeem, W., Hsien-Hsin Lee, H.-H. L., Tien-Pao Shih, T.-P. S., Shih-Hao Hung, S.-H. H., & Davidson, E. S. (1994) · 1994 International Conference on Parallel Processing Vol. 3

Parallel Computing and Optimization TechniquesDistributed and Parallel Computing Systems

Cited by 23

Securing Insulin Pump System Using Deep Learning and Gesture Recognition

Ahmad, U., Song, H., Bilal, A., Saleem, S., & Ullah, A. (2018) · 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 23

A optimized YOLO method for object detection

Tianjiao, L., & Hong, B. (2020) · 2020 16th International Conference on Computational Intelligence and Security (CIS)

Advanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 23

Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry Challenges

Liang, J., Su, G., Lin, H., Wu, Y., Zhao, R., & Li, Z. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 23

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Zen, H., Dang, V., Clark, R., Zhang, Y., Weiss, R. J., Jia, Y., Chen, Z., & Wu, Y. (2019) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 23

The Effects of ALEKS on Mathematics Learning in K-12 and Higher Education: A Meta-Analysis

Sun, S., Else-Quest, N. M., Hodges, L. C., French, A. M., & Dowling, R. (2021) · Investigations in Mathematics Learning

Intelligent Tutoring Systems and Adaptive LearningMathematics Education and Teaching Techniques

Cited by 23

Aiblock: blockchain based lightweight framework for serverless computing using ai

Golec, M., Chowdhury, D., Jaglan, S., Gill, S. S., & Uhlig, S. (2022) · 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

Blockchain Technology Applications and SecurityInternet of Things and AI

Cited by 23

Empirical insights into AI-assisted game development: A case study on the integration of generative ai tools in creative pipelines

Begemann, A., & Hutson, J. (2024) · Metaverse

Artificial Intelligence in GamesDigital Games and Media

Cited by 23

Multi-Dimensional Anomaly Detection and Fault Localization in Microservice Architectures: A Dual-Channel Deep Learning Approach with Causal Inference for Intelligent Sensing

Xing, S., Wang, Y., & Liu, W. (2025) · Sensors

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 23

Sketchforme: Composing Sketched Scenes from Text Descriptions for Interactive Applications

Huang, F., & Canny, J. F. (2019) · Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology

Generative Adversarial Networks and Image SynthesisDigital Media and Visual Art

Cited by 23

Statistical models of visual shape and motion

Blake, A., Bascle, B., Isard, M., & MacCormick, J. (1998) · Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 23

Containerized Architecture for Edge Computing in Smart Home : A consistent architecture for model deployment

Gupta, N., Anantharaj, K., & Subramani, K. (2020) · 2020 International Conference on Computer Communication and Informatics (ICCCI)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 23

A Hazard Analysis Framework for Code Synthesis Large Language Models

Khlaaf, H., Mishkin, P., Achiam, J., Krueger, G., & Brundage, M. (2022) · arXiv

Software Engineering ResearchEthics and Social Impacts of AI

Cited by 23

A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures

Kong, D., Lin, S., Xu, Z., Wang, Z., Li, M., Li, Y., Zhang, Y., Peng, H., Chen, X., Sha, Z., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 23

Pretraining Language Models with Human Preferences

Korbak, T., Shi, K., Chen, A., Bhalerao, R., Buckley, C. L., Phang, J., Bowman, S. R., & Perez, E. (2023) · arXiv

Machine Learning and AlgorithmsInnovative Teaching and Learning Methods

Cited by 23

Validation of forensic facial comparison by morphological analysis in photographic and CCTV samples

Bacci, N., Houlton, T. M. R., Briers, N., & Steyn, M. (2021) · International Journal of Legal Medicine

Face recognition and analysisFace Recognition and Perception

Cited by 23

Instant messaging: a new target for hackers

Leavitt, N. (2005) · Computer

Spam and Phishing DetectionAdvanced Malware Detection Techniques

Cited by 23

Scene Graph Contrastive Learning for Embodied Navigation

Singh, K. P., Salvador, J., Weihs, L., & Kembhavi, A. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 23