Check computer science papers: citations, claims and retractions

Artificial intelligence research: A review on dominant themes, methods, frameworks and future research directions

Ofosu-Ampong, K. (2024) · Telematics and Informatics Reports

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 81

Narrative responsibility and artificial intelligence

Coeckelbergh, M. (2023) · AI & SOCIETY

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 81

Visual Grounding in Remote Sensing Images

Sun, Y., Feng, S., Li, X., Ye, Y., Kang, J., & Huang, X. (2022) · Proceedings of the 30th ACM International Conference on Multimedia

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 81

Environmental drivers of systematicity and generalization in a situated agent

Hill, F., Lampinen, A., Schneider, R., Clark, S., Botvinick, M., McClelland, J. L., & Santoro, A. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 81

Recommendation for pair-wise key establishment using integer factorization cryptography

Barker, E., Chen, L., Roginsky, A., Vassilev, A., Davis, R., & Simon, S. (2019)

Cryptography and Data SecurityAdvanced Authentication Protocols Security

Cited by 81

Advances in quantum reinforcement learning

Dunjko, V., Taylor, J. M., & Briegel, H. J. (2017) · 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 81

Predicting anxiety state using smartphone-based passive sensing

Fukazawa, Y., Ito, T., Okimura, T., Yamashita, Y., Maeda, T., & Ota, J. (2019) · Journal of Biomedical Informatics

Emotion and Mood RecognitionDigital Mental Health Interventions

Cited by 81

Graph-based, Self-Supervised Program Repair from Diagnostic Feedback

Yasunaga, M., & Liang, P. (2020) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 81

Deep Convolutional Neural Network Inference with Floating-point Weights and Fixed-point Activations

Lai, L., Suda, N., & Chandra, V. (2017) · arXiv

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 81

Construction of Cryptographic S-Boxes Based on Mobius Transformation and Chaotic Tent-Sine System

Jamal, S. S., Anees, A., Ahmad, M., Khan, M. F., & Hussain, I. (2019) · IEEE Access

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 81

Cognitive network science reveals bias in GPT-3, GPT-3.5 turbo, and GPT-4 mirroring math anxiety in high-school students

Abramski, K., Citraro, S., Lombardi, L., Rossetti, G., & Stella, M. (2023) · Big Data and Cognitive Computing

Ethics and Social Impacts of AIScience Education and Perceptions

Cited by 81

Artificial Intelligence-driven corporate finance: Enhancing efficiency and decision-making through machine learning, natural language processing, and robotic process automation in corporate governance and sustainability

Rane, N. L., Choudhary, S. P., & Rane, J. (2024) · Studies in Economics and Business Relations

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 81

Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning

Alwhbi, I. A., Zou, C. C., & Alharbi, R. N. (2024) · Sensors

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 81

How Artificial Intelligence Constrains the Human Experience

Valenzuela, A., Puntoni, S., Hoffman, D., Castelo, N., De Freitas, J., Dietvorst, B., Hildebrand, C., Huh, Y. E., Meyer, R., Sweeney, M. E., et al. (2024) · Journal of the Association for Consumer Research

Ethics and Social Impacts of AIAI in Service Interactions

Cited by 81

Encoding atlases by randomized classification forests for efficient multi-atlas label propagation

Zikic, D., Glocker, B., & Criminisi, A. (2014) · Medical Image Analysis

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 81

A Novel Method for Generation of Strong Substitution-Boxes Based on Coset Graphs and Symmetric Groups

Razaq, A., Alolaiyan, H., Ahmad, M., Yousaf, M. A., Shuaib, U., Aslam, W., & Alawida, M. (2020) · IEEE Access

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 81

ChatDev: Communicative Agents for Software Development

Qian, C., Liu, W., Liu, H., Chen, N., Dang, Y., Li, J., Yang, C., Chen, W., Su, Y., Cong, X., et al. (2023) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 81

Addressing Marketing Bias in Product Recommendations

Wan, M., Ni, J., Misra, R., & McAuley, J. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 81

Multi-modal Continuous Dimensional Emotion Recognition Using Recurrent Neural Network and Self-Attention Mechanism

Sun, L., Lian, Z., Tao, J., Liu, B., & Niu, M. (2020) · Proceedings of the 1st International on Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 81

Body-worn sensors in Parkinson’s disease: evaluating their acceptability to patients

Fisher, J. M., Hammerla, N. Y., Rochester, L., Andras, P., & Walker, R. W. (2016) · Telemedicine and e-Health

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 81

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Iyer, S., Lin, X. V., Pasunuru, R., Mihaylov, T., Simig, D., Yu, P., Shuster, K., Wang, T., Liu, Q., Koura, P. S., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 81

DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models

Su, W., Tang, Y., Ai, Q., Wu, Z., & Liu, Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 81

Machine Learning for DDoS Attack Detection in Industry 4.0 CPPSs

Saghezchi, F. B., Mantas, G., Violas, M. A., de Oliveira Duarte, A. M., & Rodriguez, J. (2022) · Electronics

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 81

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

Sun, Z., Shen, Y., Zhou, Q., Zhang, H., Chen, Z., Cox, D., Yang, Y., & Gan, C. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 81