Check computer science papers: citations, claims and retractions

Real-Time Gesture Recognition Using 3D Sensory Data and a Light Convolutional Neural Network

Diliberti, N., Peng, C., Kaufman, C., Dong, Y., & Hansberger, J. T. (2019) · Proceedings of the 27th ACM International Conference on Multimedia

Hand Gesture Recognition SystemsContext-Aware Activity Recognition Systems

Cited by 26

Automated cyberattack detection using optimal ensemble deep learning model

Vaiyapuri, T., Shankar, K., Rajendran, S., Kumar, S., Gaur, V., Gupta, D., & Alharbi, M. (2024) · Transactions on Emerging Telecommunications Technologies

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 26

What Makes It Mine? Exploring Psychological Ownership over Human-AI Co-Creations

Xu, Y., Cheng, M., & Kuzminykh, A. (2024) · Graphics Interface

Innovative Human-Technology InteractionDigital Media and Visual Art

Cited by 26

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese

Wang, H., Zhao, S., Qiang, Z., Li, Z., Xi, N., Du, Y., Cai, M., Guo, H., Chen, Y., Xu, H., et al. (2023) · arXiv

Topic ModelingArtificial Intelligence in Healthcare and Education

Cited by 26

Generating Executable Action Plans with Environmentally-Aware Language Models

Gramopadhye, M., & Szafir, D. (2023) · 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 26

Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions

Durall, R., Keuper, M., & Keuper, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 26

BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Shi, J., Liu, Y., Zhou, P., & Sun, L. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 26

Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Qiu, Z., Wang, Z., Zheng, B., Huang, Z., Wen, K., Yang, S., Men, R., Yu, L., Huang, F., Huang, S., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

A Power-Performance Approach to Comparing Sensor Families, with application to comparing neuromorphic to traditional vision sensors

Censi, A., Mueller, E., Frazzoli, E., & Soatto, S. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Vision and ImagingAdvanced Memory and Neural Computing

Cited by 26

A hybrid GPU-FPGA-based computing platform for machine learning

Liu, X., Ounifi, H. A., Gherbi, A., Lemieux, Y., & Li, W. (2018) · Procedia Computer Science

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 26

Artificial Intelligence and Bias: A Scoping Review

Kundi, B., El Morr, C., Gorman, R., & Dua, E. (2022) · AI and Society

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 26

BitNet: Scaling 1-bit Transformers for Large Language Models

Wang, H., Ma, S., Dong, L., Huang, S., Wang, H., Ma, L., Yang, F., Wang, R., Wu, Y., & Wei, F. (2023) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 26

Forensic Analysis of Synthetically Generated Western Blot Images

Mandelli, S., Cozzolino, D., Cannas, E. D., Cardenuto, J. P., Moreira, D., Bestagini, P., Scheirer, W. J., Rocha, A., Verdoliva, L., Tubaro, S., et al. (2022) · IEEE Access

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 26

A novel DNA-based key scrambling technique for image encryption

Uddin, M., Jahan, F., Islam, M. K., & Rakib Hassan, M. (2021) · Complex & Intelligent Systems

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 26

VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

Wang, W., & Yang, Y. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 26

A regularization method to improve adversarial robustness of neural networks for ECG signal classification

Ma, L., & Liang, L. (2022) · Computers in Biology and Medicine

Adversarial Robustness in Machine LearningECG Monitoring and Analysis

Cited by 26

Algorithms: law and regulation

Treleaven, P., Barnett, J., & Koshiyama, A. (2019) · Computer

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 26

PG-YOLO: A Novel Lightweight Object Detection Method for Edge Devices in Industrial Internet of Things

Dong, C., Pang, C., Li, Z., Zeng, X., & Hu, X. (2022) · IEEE Access

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 26

PenHeal: A Two-Stage LLM Framework for Automated Pentesting and Optimal Remediation

Huang, J., & Zhu, Q. (2023) · Proceedings of the Workshop on Autonomous Cybersecurity

Web Application Security VulnerabilitiesAdversarial Robustness in Machine Learning

Cited by 25

AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition

Zhou, Y., Zhao, H., Huang, Y., Röddiger, T., Kurnaz, M., Riedel, T., & Beigl, M. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 25

Automated mobile UI test fragility: an exploratory assessment study on Android

Coppola, R., Raffero, E., & Torchiano, M. (2016) · Proceedings of the 2nd International Workshop on User Interface Test Automation

Software Testing and Debugging TechniquesMobile and Web Applications

Cited by 25

Gaze-assisted automatic captioning of fetal ultrasound videos using three-way multi-modal deep neural networks

Alsharid, M., Cai, Y., Sharma, H., Drukker, L., Papageorghiou, A. T., & Noble, J. A. (2022) · Medical Image Analysis

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 25

Same Author or Just Same Topic? Towards Content-Independent Style Representations

Wegmann, A., Schraagen, M., & Nguyen, D. (2022) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 25

Detection of Adversary Nodes in Machine-To-Machine Communication Using Machine Learning Based Trust Model

Eziama, E., Ahmed, S., Ahmed, S., Awin, F., & Tepe, K. (2019) · 2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 25