Check computer science papers: citations, claims and retractions

On Improving Cross-dataset Generalization of Deepfake Detectors

Nadimpalli, A. V., & Rattani, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 79

Including Signed Languages in Natural Language Processing

Yin, K., Moryossef, A., Hochgesang, J., Goldberg, Y., & Alikhani, M. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesHearing Impairment and Communication

Cited by 79

An Information Foraging Theory Perspective on Tools for Debugging, Refactoring, and Reuse Tasks

Fleming, S. D., Scaffidi, C., Piorkowski, D., Burnett, M., Bellamy, R., Lawrance, J., & Kwan, I. (2013) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 79

Deep Belief Network for Spectral–Spatial Classification of Hyperspectral Remote Sensor Data

Li, C., Wang, Y., Zhang, X., Gao, H., Yang, Y., & Wang, J. (2019) · Sensors

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 79

On Fast Sampling of Diffusion Probabilistic Models

Kong, Z., & Ping, W. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 79

When Deep Learning-Based Soft Sensors Encounter Reliability Challenges: A Practical Knowledge-Guided Adversarial Attack and Its Defense

Guo, R., Liu, H., & Liu, D. (2024) · IEEE Transactions on Industrial Informatics

Adversarial Robustness in Machine LearningSmart Grid Security and Resilience

Cited by 79

Classical variational simulation of the Quantum Approximate Optimization Algorithm

Medvidović, M., & Carleo, G. (2021) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 79

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Gao, Y., Sheng, T., Xiang, Y., Xiong, Y., Wang, H., & Zhang, J. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 79

Readability of fonts in the windows environment

Tullis, T. S., Boynton, J. L., & Hersh, H. (1995) · Conference companion on Human factors in computing systems - CHI '95

Usability and User Interface DesignGraphic Design and Typography

Cited by 79

FRaC: a feature-modeling approach for semi-supervised and unsupervised anomaly detection

Noto, K., Brodley, C., & Slonim, D. (2012) · Data Mining and Knowledge Discovery

Anomaly Detection Techniques and ApplicationsImbalanced Data Classification Techniques

Cited by 79

Prediction of weaning from mechanical ventilation using Convolutional Neural Networks

Jia, Y., Kaul, C., Lawton, T., Murray-Smith, R., & Habli, I. (2021) · Artificial Intelligence in Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 79

Research on Improved YOLOv5 for Low-Light Environment Object Detection

Wang, J., Yang, P., Liu, Y., Shang, D., Hui, X., Song, J., & Chen, X. (2023) · Electronics

Advanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 79

Ethical Principles for Artificial Intelligence in National Defence

Taddeo, M., McNeish, D., Blanchard, A., & Edgar, E. (2021) · Philosophy & Technology

Ethics and Social Impacts of AIMilitary Strategy and Technology

Cited by 79

PACO: Parts and Attributes of Common Objects

Ramanathan, V., Kalia, A., Petrovic, V., Wen, Y., Zheng, B., Guo, B., Wang, R., Marquez, A., Kovvuri, R., Kadian, A., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 79

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Liu, Y., Yao, Y., Ton, J.-F., Zhang, X., Guo, R., Cheng, H., Klochkov, Y., Taufiq, M. F., & Li, H. (2023) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 79

Distributional vectors encode referential attributes

Gupta, A., Boleda, G., Baroni, M., & Padó, S. (2015) · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 79

Cyber-aggression, Cyberbullying, and Cyber-grooming: A Survey and Research Challenges

Mladenović, M., Ošmjanski, V., & Stanković, S. V. (2022) · ACM Computing Surveys

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 79

RAGAs: Automated Evaluation of Retrieval Augmented Generation

Es, S., James, J., Espinosa-Anke, L., & Schockaert, S. (2023) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 79

Towards Measuring Fairness in AI: The Casual Conversations Dataset

Hazirbas, C., Bitton, J., Dolhansky, B., Pan, J., Gordo, A., & Ferrer, C. C. (2022) · IEEE Transactions on Biometrics, Behavior, and Identity Science

Face recognition and analysisEthics and Social Impacts of AI

Cited by 79

Your Eyes Tell: Leveraging Smooth Pursuit for Assessing Cognitive Workload

Kosch, T., Hassib, M., Woźniak, P. W., Buschek, D., & Alt, F. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Gaze Tracking and Assistive TechnologyHuman-Automation Interaction and Safety

Cited by 79

MAGE: Machine-generated Text Detection in the Wild

Li, Y., Li, Q., Cui, L., Bi, W., Wang, Z., Wang, L., Yang, L., Shi, S., & Zhang, Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 79

A Surveillance Video Real-Time Analysis System Based on Edge-Cloud and FL-YOLO Cooperation in Coal Mine

Xu, Z., Li, J., & Zhang, M. (2021) · IEEE Access

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 79

Uncertainty Sets for Image Classifiers using Conformal Prediction

Angelopoulos, A., Bates, S., Malik, J., & Jordan, M. I. (2020) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 79

Anomaly Detection in Videos for Video Surveillance Applications using Neural Networks

Franklin, R. J., Mohana, & Dabbagol, V. (2020) · 2020 Fourth International Conference on Inventive Systems and Control (ICISC)

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 79