Check computer science papers: citations, claims and retractions

A novel software engineering approach toward using machine learning for improving the efficiency of health systems

Moreb, M., Mohammed, T. A., & Bayat, O. (2020) · IEEE Access

Software Engineering Techniques and PracticesArtificial Intelligence in Healthcare

Cited by 39

A blockchain empowered and privacy preserving digital contact tracing platform

Bandara, E., Liang, X., Foytik, P., Shetty, S., Hall, C., Bowden, D., Ranasinghe, N., & De Zoysa, K. (2021) · Information Processing & Management

COVID-19 Digital Contact TracingBlockchain Technology Applications and Security

Cited by 39

What's in a p-value in NLP?

Søgaard, A., Johannsen, A., Plank, B., Hovy, D., & Martínez Alonso, H. (2014) · Proceedings of the Eighteenth Conference on Computational Natural Language Learning

Natural Language Processing TechniquesTopic Modeling

Cited by 39

Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges

Dietterich, T. G., & Langley, P. (2007) · Cognitive Networks

Cognitive Radio Networks and Spectrum SensingSoftware-Defined Networks and 5G

Cited by 39

AutoAI-TS: AutoAI for Time Series Forecasting

Shah, S. Y., Patel, D., Vu, L., Dang, X.-H., Chen, B., Kirchner, P., Samulowitz, H., Wood, D., Bramble, G., Gifford, W. M., et al. (2021) · Proceedings of the 2021 International Conference on Management of Data

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 39

Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation

Lin, S., Warner, J., Zamfirescu-Pereira, J. D., Lee, M. G., Jain, S., Cai, S., Lertvittayakumjorn, P., Huang, M. X., Zhai, S., Hartmann, B., et al. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignSpeech and dialogue systems

Cited by 39

Law and the Emerging Political Economy of Algorithmic Audits

Terzis, P., Veale, M., & Gaumann, N. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 39

Relation-Based Counterfactual Explanations for Bayesian Network Classifiers

Albini, E., Rago, A., Baroni, P., & Toni, F. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Bayesian Modeling and Causal Inference

Cited by 39

A Multi-Objective Modeling Method of Multi-Satellite Imaging Task Planning for Large Regional Mapping

Chen, Y., Xu, M., Shen, X., Zhang, G., Lu, Z., & Xu, J. (2020) · Remote Sensing

Satellite Image Processing and PhotogrammetrySatellite Communication Systems

Cited by 39

Grooming detection using fuzzy-rough feature selection and text classification

Zuo, Z., Li, J., Anderson, P., Yang, L., & Naik, N. (2018) · 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Text and Document Classification TechnologiesHate Speech and Cyberbullying Detection

Cited by 39

Multilingual Code Snippets Training for Program Translation

Zhu, M., Suresh, K., & Reddy, C. K. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Software Engineering ResearchNatural Language Processing Techniques

Cited by 39

Reinforcement Learning-based Mobile Edge Computing and Transmission Scheduling for Video Surveillance

Kunpeng, Y., Shan, H., Sun, T., Hu, R., Wu, Y., Yu, L., Zhang, Z., & Quek, T. Q. S. (2021) · IEEE Transactions on Emerging Topics in Computing

IoT and Edge/Fog ComputingUAV Applications and Optimization

Cited by 39

Computer Science Principles for Teachers of Blind and Visually Impaired Students

Stefik, A., Ladner, R. E., Allee, W., & Mealin, S. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingDigital Accessibility for Disabilities

Cited by 39

Instruction-Following Evaluation for Large Language Models

Zhou, J., Lu, T., Mishra, S., Brahma, S., Basu, S., Luan, Y., Zhou, D., & Hou, L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 39

Evidence-based Factual Error Correction

Thorne, J., & Vlachos, A. (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 TechniquesTopic Modeling

Cited by 39

Supervising strong learners by amplifying weak experts

Christiano, P., Shlegeris, B., & Amodei, D. (2018) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 39

Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition

Leng, Z., Kwon, H., & Ploetz, T. (2023) · Proceedings of the 2023 International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsHuman Motion and Animation

Cited by 39

Enriching mobile learning software with interactive activities and motivational feedback for advancing users' high-level cognitive skills

Troussas, C., Krouska, A., & Sgouropoulou, C. (2022) · Computers

Mobile Learning in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 39

Privacy Enhancing and Scalable Federated Learning to Accelerate AI Implementation in Cross-Silo and IoMT Environments

Rachakonda, S., Moorthy, S., Jain, A., Bukharev, A., Bucur, A., Manni, F., Quiterio, T. M., Joosten, L., & Mendez, N. I. (2023) · IEEE Journal of Biomedical and Health Informatics

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 39

GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations

Duan, J., Zhang, R., Diffenderfer, J., Kailkhura, B., Sun, L., Stengel-Eskin, E., Bansal, M., Chen, T., & Xu, K. (2024) · Advances in Neural Information Processing Systems 37

Artificial Intelligence in GamesGame Theory and Applications

Cited by 39

Modeling generalization in machine learning: a methodological and computational study

Barbiero, P., Squillero, G., & Tonda, A. (2020) · arXiv

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 39

Approximating vibronic spectroscopy with imperfect quantum optics

Clements, W. R., Renema, J. J., Eckstein, A., Valido, A. A., Lita, A., Gerrits, T., Nam, S. W., Kolthammer, W. S., Huh, J., & Walmsley, I. A. (2018) · Journal of Physics B: Atomic, Molecular and Optical Physics

Quantum Computing Algorithms and ArchitectureSpectroscopy and Quantum Chemical Studies

Cited by 39

ADLAuth: Passive Authentication Based on Activity of Daily Living Using Heterogeneous Sensing in Smart Cities

Malik, M. N., Azam, M. A., Ehatisham-Ul-Haq, M., Ejaz, W., & Khalid, A. (2019) · Sensors

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 39

AI and Compute: How Much Longer Can Computing Power Drive Artificial Intelligence Progress?

Lohn, A., & Musser, M. (2022) · Center for Security and Emerging Technology

Artificial Intelligence ApplicationsParallel Computing and Optimization Techniques

Cited by 39