Check computer science papers: citations, claims and retractions

So long, and no thanks for the externalities: the rational rejection of security advice by users

Herley, C. (2009) · Proceedings of the 2009 workshop on New security paradigms workshop

Information and Cyber SecurityUser Authentication and Security Systems

Cited by 524

Large Language Models for Software Engineering: Survey and Open Problems

Fan, A., Gokkaya, B., Harman, M., Lyubarskiy, M., Sengupta, S., Yoo, S., & Zhang, J. M. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 523

View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition

Zhang, P., Lan, C., Xing, J., Zeng, W., Xue, J., & Zheng, N. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 523

KADID-10k: A Large-scale Artificially Distorted IQA Database

Lin, H., Hosu, V., & Saupe, D. (2019) · 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX)

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 523

Stress Recognition Using Wearable Sensors and Mobile Phones

Sano, A., & Picard, R. W. (2013) · 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 523

Edge Machine Learning for AI-Enabled IoT Devices: A Review

Merenda, M., Porcaro, C., & Iero, D. (2020) · Sensors

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 523

C-Pack: Packed Resources For General Chinese Embeddings

Xiao, S., Liu, Z., Zhang, P., Muennighoff, N., Lian, D., & Nie, J.-Y. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingMultimodal Machine Learning Applications

Cited by 523

Simple quantum error-correcting codes

Steane, A. M. (1996) · Physical Review A

Quantum Computing Algorithms and ArchitectureCoding theory and cryptography

Cited by 522

Crowdbc: a blockchain-based decentralized framework for crowdsourcing

Li, M., Weng, J., Yang, A., Lu, W., Zhang, Y., Hou, L., Liu, J.-N., Xiang, Y., & Deng, R. H. (2019) · IEEE Transactions on Parallel and Distributed Systems

Blockchain Technology Applications and SecurityMobile Crowdsensing and Crowdsourcing

Cited by 522

Artificial intelligence: Implications for the future of work

Howard, J. (2019) · American Journal of Industrial Medicine

Ethics and Social Impacts of AIImpact of AI and Big Data on Business and Society

Cited by 522

Transparency and explainability of AI systems: From ethical guidelines to requirements

Balasubramaniam, N., Kauppinen, M., Rannisto, A., Hiekkanen, K., & Kujala, S. (2023) · Information and Software Technology

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 522

Visualizing and Understanding Convolutional Networks

Zeiler, M. D., & Fergus, R. (2013) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 522

Jailbreaking Black Box Large Language Models in Twenty Queries

Chao, P., Robey, A., Dobriban, E., Hassani, H., Pappas, G. J., & Wong, E. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 522

Narrative Planning: Balancing Plot and Character

Riedl, M. O., & Young, R. M. (2010) · Journal of Artificial Intelligence Research

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 522

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Wang, X., Huang, Q., Celikyilmaz, A., Gao, J., Shen, D., Wang, Y.-F., Wang, W. Y., & Zhang, L. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 522

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

Yao, J., Zhu, X., Jonnagaddala, J., Hawkins, N., & Huang, J. (2020) · Medical Image Analysis

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 522

Image-Based Localization Using LSTMs for Structured Feature Correlation

Walch, F., Hazirbas, C., Leal-Taixe, L., Sattler, T., Hilsenbeck, S., & Cremers, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 521

Sharpness-Aware Minimization for Efficiently Improving Generalization

Foret, P., Kleiner, A., Mobahi, H., & Neyshabur, B. (2020) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 521

Sequential updating of conditional probabilities on directed graphical structures

Spiegelhalter, D. J., & Lauritzen, S. L. (1990) · Networks

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 521

A Survey on Conversational Recommender Systems

Jannach, D., Manzoor, A., Cai, W., & Chen, L. (2022) · ACM Computing Surveys

Recommender Systems and TechniquesAI in Service Interactions

Cited by 521

A database for fine grained activity detection of cooking activities

Rohrbach, M., Amin, S., Andriluka, M., & Schiele, B. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 521

Quantum Boltzmann Machine

Amin, M. H., Andriyash, E., Rolfe, J., Kulchytskyy, B., & Melko, R. (2018) · Physical Review X

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 520

Internet of Things: Security vulnerabilities and challenges

Andrea, I., Chrysostomou, C., & Hadjichristofi, G. (2015) · 2015 IEEE Symposium on Computers and Communication (ISCC)

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 520

Modeling and Prediction of Human Behavior

Pentland, A., & Liu, A. (1999) · Neural Computation

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 520