Check computer science papers: citations, claims and retractions

A 307-fps 351.7-GOPs/W Deep Learning FPGA Accelerator for Real-Time Scene Text Recognition

Zhao, S., An, F., & Yu, H. (2019) · 2019 International Conference on Field-Programmable Technology (ICFPT)

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 8

Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness

Ma, S., & Wang, Q. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 8

Cyber Education outside the Cyberspace: The case of the Catholic University Institute of Buea

Nyinkeu, N. D., Anye, D., Kwedeu, L., & Buttler, W. (2018) · International Journal of Technology in Teaching and Learning

Information and Cyber SecurityOnline and Blended Learning

Cited by 8

Detecting Anomalies within Time Series using Local Neural Transformations

Schneider, T., Qiu, C., Kloft, M., Latif, D. A., Staab, S., Mandt, S., & Rudolph, M. (2022) · arXiv

Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting

Cited by 8

Reconceptualising nomadic architecture: from the body to the space creation

Trisno, R., Husin, D., & Lianto, F. (2023) · City, Territory and Architecture

Environmental Engineering and Cultural Studies

Cited by 8

A deep neural network for audio-visual person recognition

Alam, M. R., Bennamoun, M., Togneri, R., & Sohel, F. (2015) · 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 8

Automated Validating and Fixing of Text-to-SQL Translation with Execution Consistency

Yang, Y., Wang, Z., Xia, Y., Wei, Z., Ding, H., Piskac, R., Chen, H., & Li, J. (2025) · Proceedings of the ACM on Management of Data

Natural Language Processing TechniquesTopic Modeling

Cited by 8

Computational biomarker predicts lung ICI response via deep learning-driven hierarchical spatial modelling from H&E

Xie, C., Vanderbilt, C., Feng, C., Ho, D., Campanella, G., Egger, J., Plodkowski, A., Girshman, J., Sawan, P., Arbour, K., et al. (2022) · Research Square

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 8

Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification

Mitchell, J., & Shaaban, Y. (2025) · Proceedings of the 1st ACM SIGPLAN International Workshop on Language Models and Programming Languages

Software Engineering ResearchLogic, programming, and type systems

Cited by 8

OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters

Riccio, P., Psomas, B., Galati, F., Escolano, F., Hofmann, T., & Oliver, N. (2022) · Advances in Neural Information Processing Systems 35

Augmented Reality ApplicationsAcademic Publishing and Open Access

Cited by 8

Depth enhanced visual-inertial odometry based on Multi-State Constraint Kalman Filter

Pang, F., Chen, Z., Pu, L., & Wang, T. (2017) · 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 8

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems

Sun, Z., Du, X., Song, F., Wang, S., Ni, M., & Li, L. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 8

Challenges in Human-Agent Communication

Bansal, G., Vaughan, J. W., Amershi, S., Horvitz, E., Fourney, A., Mozannar, H., Dibia, V., & Weld, D. S. (2024) · arXiv

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 8

A Novel Homomorphic Blockchain Scheme for Intelligent Transport Services in Fog/Cloud and IoT Networks

Lakhan, A., Groenli, T.-M., Wu, H., Younas, M., & Ghinea, G. (2025) · IEEE Transactions on Intelligent Transportation Systems

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 8

Post-Training Quantization for Energy Efficient Realization of Deep Neural Networks

Latotzke, C., Balim, B., & Gemmeke, T. (2022) · 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 8

Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation

Lyu, Y., Niu, Z., Xie, Z., Zhang, C., Xu, T., Wang, Y., & Chen, E. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 8

Parrot: Efficient Serving of LLM-based Applications with Semantic Variable

Lin, C., Han, Z., Zhang, C., Yang, Y., Yang, F., Chen, C., & Qiu, L. (2024) · arXiv

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 8

Exploring the Impact of Cultural Preferences in Website Design: A Controlled Experiment Based on Three University Websites of Pakistan

Nizamani, S., Khoumbati, K.-U.-R., Nizamani, S., Memon, S., Nizamani, S., & Basir, N. (2018) · 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M)

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 8

Automatic grading of placental maturity based on LIOP and fisher vector

Lei, B., Li, X., Yao, Y., Li, S., Chen, S., Zhou, Y., Ni, D., & Wang, T. (2014) · 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Image Retrieval and Classification TechniquesMedical Image Segmentation Techniques

Cited by 8

Using Pareto simulated annealing to address algorithmic bias in machine learning

Blanzeisky, W., & Cunningham, P. (2022) · The Knowledge Engineering Review

Ethics and Social Impacts of AIImbalanced Data Classification Techniques

Cited by 8

Tracr: Compiled Transformers as a Laboratory for Interpretability

Lindner, D., Kramár, J., Farquhar, S., Rahtz, M., McGrath, T., & Mikulik, V. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 8

Explainable multi-modal deep learning with cross-modal attention for diagnosis of dyssynergic defecation using abdominal X-ray images and symptom questionnaire

Sangnark, S., Rattanachaisit, P., Patcharatrakul, T., & Vateekul, P. (2024) · IEEE Access

Explainable Artificial Intelligence (XAI)Gastrointestinal motility and disorders

Cited by 8

Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality prediction

Wu, L., Mai, L., Wang, H., Huang, J., He, X., Zhan, X., Khalemsky, A., Kumar, V. A., Paxton, J. H., Tsilimingras, D., et al. (2026) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 8

Multiagent Actor-Critic Generative AI for Query Resolution and Analysis

Ur Rahman, M. W., Nevarez, R., Mim, L. T., & Hariri, S. (2025) · IEEE Transactions on Artificial Intelligence

Data Visualization and AnalyticsArtificial Intelligence Applications

Cited by 8