Check computer science papers: citations, claims and retractions

The early origins and development of the scatterplot

Friendly, M., & Denis, D. (2005) · Journal of the History of the Behavioral Sciences

Data Visualization and AnalyticsHistory of Science and Medicine

Cited by 184

From individual to group privacy in big data analytics

Mittelstadt, B. (2017) · Philosophy & Technology

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 184

Synthetic Data from Diffusion Models Improves ImageNet Classification

Azizi, S., Kornblith, S., Saharia, C., Norouzi, M., & Fleet, D. J. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 184

Federated Evaluation of On-device Personalization

Wang, K., Mathews, R., Kiddon, C., Eichner, H., Beaufays, F., & Ramage, D. (2019) · arXiv

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 184

Validation and Verification of Smart Contracts: A Research Agenda

Magazzeni, D., McBurney, P., & Nash, W. (2017) · Computer

Blockchain Technology Applications and SecurityDigital Transformation in Law

Cited by 184

ISTVT: Interpretable Spatial-Temporal Video Transformer for Deepfake Detection

Zhao, C., Wang, C., Hu, G., Chen, H., Liu, C., & Tang, J. (2023) · IEEE Transactions on Information Forensics and Security

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 184

Perspectives on Large Language Models for Relevance Judgment

Faggioli, G., Dietz, L., Clarke, C. L. A., Demartini, G., Hagen, M., Hauff, C., Kando, N., Kanoulas, E., Potthast, M., Stein, B., et al. (2023) · Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 184

AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Paulus, A., Zharmagambetov, A., Guo, C., Amos, B., & Tian, Y. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 184

Device-to-device communications for enhancing quality of experience in software defined multi-tier LTE-A networks

Liu, J., Zhang, S., Kato, N., Ujikawa, H., & Suzuki, K. (2015) · IEEE Network

Software-Defined Networks and 5GAdvanced MIMO Systems Optimization

Cited by 184

METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens

Wang, Z., Liu, L., Wang, L., & Zhou, L. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 184

Six Challenges for Neural Machine Translation

Koehn, P., & Knowles, R. (2017) · Proceedings of the First Workshop on Neural Machine Translation

Natural Language Processing TechniquesTopic Modeling

Cited by 184

Differential privacy-enabled federated learning for sensitive health data

Choudhury, O., Gkoulalas-Divanis, A., Salonidis, T., Sylla, I., Park, Y., Hsu, G., & Das, A. (2019) · arXiv

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 184

Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification

Schick, T., Schmid, H., & Schütze, H. (2020) · Proceedings of the 28th International Conference on Computational Linguistics

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 184

Towards an Equitable Digital Society: Artificial Intelligence (AI) and Corporate Digital Responsibility (CDR)

Elliott, K., Price, R., Shaw, P., Spiliotopoulos, T., Ng, M., Coopamootoo, K., & van Moorsel, A. (2021) · Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 184

Addressing Industry 4.0 Cybersecurity Challenges

Culot, G., Fattori, F., Podrecca, M., & Sartor, M. (2019) · IEEE Engineering Management Review

Information and Cyber SecurityDigital Transformation in Industry

Cited by 184

DéjàVu: a map of code duplicates on GitHub

Lopes, C. V., Maj, P., Martins, P., Saini, V., Yang, D., Zitny, J., Sajnani, H., & Vitek, J. (2017) · Proceedings of the ACM on Programming Languages

Software Engineering ResearchOpen Source Software Innovations

Cited by 183

Robust video fingerprinting for content-based video identification

Lee, S., & Yoo, C. D. (2008) · IEEE Transactions on Circuits and Systems for Video Technology

Video Analysis and SummarizationImage Retrieval and Classification Techniques

Cited by 183

A fuzzy expert system-based adaptive learning approach to improving students’ learning performances by considering affective and cognitive factors

Hwang, G.-J., Sung, H.-Y., Chang, S.-C., & Huang, X.-C. (2020) · Computers and Education: Artificial Intelligence

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and Assessment

Cited by 183

The role of causality in judgment under uncertainty

Krynski, T. R., & Tenenbaum, J. B. (2007) · Journal of Experimental Psychology General

Bayesian Modeling and Causal InferenceDecision-Making and Behavioral Economics

Cited by 183

Muppet: Massive Multi-task Representations with Pre-Finetuning

Aghajanyan, A., Gupta, A., Shrivastava, A., Chen, X., Zettlemoyer, L., & Gupta, S. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 183

Sentiment analysis: A survey on design framework, applications and future scopes

Bordoloi, M., & Biswas, S. K. (2023) · Artificial Intelligence Review

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 183

A Practical Evaluation of Commercial Industrial Augmented Reality Systems in an Industry 4.0 Shipyard

Blanco-Novoa, O., Fernandez-Carames, T. M., Fraga-Lamas, P., & Vilar-Montesinos, M. A. (2018) · IEEE Access

Augmented Reality ApplicationsDigital Transformation in Industry

Cited by 183

Dr. Scratch: a Web Tool to Automatically Evaluate Scratch Projects

Moreno-León, J., & Robles, G. (2015) · Proceedings of the Workshop in Primary and Secondary Computing Education

Teaching and Learning ProgrammingEducational Games and Gamification

Cited by 183

The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation

Abdollahpouri, H., Mansoury, M., Burke, R., & Mobasher, B. (2020) · Fourteenth ACM Conference on Recommender Systems

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 183