Check computer science papers: citations, claims and retractions

FAPM: Fast Adaptive Patch Memory for Real-Time Industrial Anomaly Detection

Kim, D., Park, C., Cho, S., & Lee, S. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Anomaly Detection Techniques and ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 56

TRUE: Re-evaluating Factual Consistency Evaluation

Honovich, O., Aharoni, R., Herzig, J., Taitelbaum, H., Kukliansy, D., Cohen, V., Scialom, T., Szpektor, I., Hassidim, A., & Matias, Y. (2022) · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering

Speech and dialogue systemsTopic Modeling

Cited by 56

SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties

Okafor, C., Schorlemmer, T. R., Torres-Arias, S., & Davis, J. C. (2024) · arXiv

Information and Cyber SecuritySecurity and Verification in Computing

Cited by 56

Multion: Benchmarking semantic map memory using multi-object navigation

Wani, S., Patel, S., Jain, U., Chang, A. X., & Savva, M. (2020) · arXiv

Reinforcement Learning in RoboticsSpatial Cognition and Navigation

Cited by 56

Self-Supervised Representation Learning for Ultrasound Video

Jiao, J., Droste, R., Drukker, L., Papageorghiou, A. T., & Noble, J. A. (2020) · 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI)

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 56

Local normal binary patterns for 3D facial action unit detection

Sandbach, G., Zafeiriou, S., & Pantic, M. (2012) · 2012 19th IEEE International Conference on Image Processing

Face recognition and analysisFace and Expression Recognition

Cited by 56

Explaining Neural Networks Semantically and Quantitatively

Chen, R., Chen, H., Huang, G., Ren, J., & Zhang, Q. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 56

Deepfake Video Detection Based on MesoNet with Preprocessing Module

Xia, Z., Qiao, T., Xu, M., Wu, X., Han, L., & Chen, Y. (2022) · Symmetry

Digital Media Forensic DetectionFace recognition and analysis

Cited by 56

Regularized Speaker Adaptation of KL-HMM for Dysarthric Speech Recognition

Kim, M., Kim, Y., Yoo, J., Wang, J., & Kim, H. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 56

Review of audio deepfake detection techniques: Issues and prospects

Dixit, A., Kaur, N., & Kingra, S. (2023) · Expert Systems

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 56

CORE: Automating Review Recommendation for Code Changes

Siow, J. K., Gao, C., Fan, L., Chen, S., & Liu, Y. (2020) · 2020 IEEE 27th International Conference on Software Analysis, Evolution and Reengineering (SANER)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 56

7T-guided super-resolution of 3T MRI

Bahrami, K., Shi, F., Rekik, I., Gao, Y., & Shen, D. (2017) · Medical Physics

Advanced Image Processing TechniquesAdvanced MRI Techniques and Applications

Cited by 56

PLeak: Prompt Leaking Attacks against Large Language Model Applications

Hui, B., Yuan, H., Gong, N., Burlina, P., & Cao, Y. (2024) · Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 55

Anomaly Detection for Cyber-Security Based on Convolution Neural Network : A survey

Alabadi, M., & Celik, Y. (2020) · 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 55

Automatic detection and measurement of nuchal translucency

Sciortino, G., Tegolo, D., & Valenti, C. (2017) · Computers in Biology and Medicine

Medical Image Segmentation TechniquesPrenatal Screening and Diagnostics

Cited by 55

Advancing the search frontier with AI agents

White, R. W. (2024) · Communications of the ACM

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 55

Real-Time Underwater Image Recognition with FPGA Embedded System for Convolutional Neural Network

Zhao, M., Hu, C., Wei, F., Wang, K., Wang, C., & Jiang, Y. (2019) · Sensors

Advanced Neural Network ApplicationsEmbedded Systems and FPGA Applications

Cited by 55

Incremental Few-Shot Object Detection

Perez-Rua, J.-M., Zhu, X., Hospedales, T. M., & Xiang, T. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 55

Compressive Sequential Learning for Action Similarity Labeling

Qin, J., Liu, L., Zhang, Z., Wang, Y., & Shao, L. (2016) · IEEE Transactions on Image Processing

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 55

Exploring the Impact of Worked Examples in a Novice Programming Environment

Zhi, R., Price, T. W., Marwan, S., Milliken, A., Barnes, T., & Chi, M. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingVisual and Cognitive Learning Processes

Cited by 55

Discovering Latent Knowledge in Language Models Without Supervision

Burns, C., Ye, H., Klein, D., & Steinhardt, J. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 55

Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Nanda, N., Lee, A., & Wattenberg, M. (2023) · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Games

Cited by 55

Data sharing at a crossroads

Rockhold, F., Nisen, P., & Freeman, A. (2016) · New England Journal of Medicine

Research Data Management PracticesElectronic Health Records Systems

Cited by 55

Grasp Recognition with Uncalibrated Data Gloves - A Comparison of Classification Methods

Heumer, G., Amor, H. B., Weber, M., & Jung, B. (2007) · 2007 IEEE Virtual Reality Conference

Hand Gesture Recognition SystemsRobot Manipulation and Learning

Cited by 55