Check computer science papers: citations, claims and retractions

Towards teaching analytics: a contextual model for analysis of students' evaluation of teaching through text mining and machine learning classification

Okoye, K., Arrona-Palacios, A., Camacho-Zuñiga, C., Achem, J. A. G., Escamilla, J., & Hosseini, S. (2022) · Education and Information Technologies

Online Learning and AnalyticsEducational Technology and Pedagogy

Cited by 112

Survey: federated learning data security and privacy-preserving in edge-Internet of Things

Li, H., Ge, L., & Tian, L. (2024) · Artificial Intelligence Review

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 112

Challenges and Advances in Parallel Sparse Matrix-Matrix Multiplication

Buluc, A., & Gilbert, J. R. (2008) · 2008 37th International Conference on Parallel Processing

Parallel Computing and Optimization TechniquesMatrix Theory and Algorithms

Cited by 112

Deep Learning and Blockchain-Empowered Security Framework for Intelligent 5G-Enabled IoT

Rathore, S., Park, J. H., & Chang, H. (2021) · IEEE Access

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 112

Evaluation in participatory design: a literature survey

Bossen, C., Dindler, C., & Iversen, O. S. (2016) · Proceedings of the 14th Participatory Design Conference: Full papers - Volume 1

Usability and User Interface DesignEvaluation and Performance Assessment

Cited by 112

Rethinking search: making domain experts out of dilettantes

Metzler, D., Tay, Y., Bahri, D., & Najork, M. (2021) · ACM SIGIR Forum

Information Retrieval and Search BehaviorTopic Modeling

Cited by 112

Challenges in Detoxifying Language Models

Welbl, J., Glaese, A., Uesato, J., Dathathri, S., Mellor, J., Hendricks, L. A., Anderson, K., Kohli, P., Coppin, B., & Huang, P.-S. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 112

Demystifying MLOps and Presenting a Recipe for the Selection of Open-Source Tools

Ruf, P., Madan, M., Reich, C., & Ould-Abdeslam, D. (2021) · Applied Sciences

Software Engineering Techniques and PracticesScientific Computing and Data Management

Cited by 112

Towards Better Explanations of Class Activation Mapping

Jung, H., & Oh, Y. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 112

On the Data Quality and Imbalance in Machine Learning-Based Design and Manufacturing—A Systematic Review

Xie, J., Sun, L., & Zhao, Y. F. (2025) · Engineering

Data Quality and ManagementMachine Learning and Data Classification

Cited by 112

Large language models for chemistry robotics

Yoshikawa, N., Skreta, M., Darvish, K., Arellano-Rubach, S., Ji, Z., Bjørn Kristensen, L., Li, A. Z., Zhao, Y., Xu, H., Kuramshin, A., et al. (2023) · Autonomous Robots

AI-based Problem Solving and PlanningRobot Manipulation and Learning

Cited by 112

Cross-Iteration Batch Normalization

Yao, Z., Cao, Y., Zheng, S., Huang, G., & Lin, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 112

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Xiong, W., Li, X. L., Iyer, S., Du, J., Lewis, P., Wang, W. Y., Mehdad, Y., Yih, W.-T., Riedel, S., Kiela, D., et al. (2020) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 112

Scenic: a language for scenario specification and data generation

Fremont, D. J., Kim, E., Dreossi, T., Ghosh, S., Yue, X., Sangiovanni-Vincentelli, A. L., & Seshia, S. A. (2023) · Machine Learning

Bayesian Modeling and Causal InferenceAdversarial Robustness in Machine Learning

Cited by 112

Acoustic and perceptual indicators of emotional stress.

Streeter, L. A., Macdonald, N. H., Apple, W., Krauss, R. M., & Galotti, K. M. (1983) · The Journal of the Acoustical Society of America

Emotion and Mood RecognitionPhonetics and Phonology Research

Cited by 112

ILLIA: Enabling $k$ -Anonymity-Based Privacy Preserving Against Location Injection Attacks in Continuous LBS Queries

Zhao, P., Li, J., Zeng, F., Xiao, F., Wang, C., & Jiang, H. (2018) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataData Management and Algorithms

Cited by 112

Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)

Ahmed, T., Pai, K. S., Devanbu, P., & Barr, E. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 112

Gestalt: integrated support for implementation and analysis in machine learning

Patel, K., Bancroft, N., Drucker, S. M., Fogarty, J., Ko, A. J., & Landay, J. (2010) · Proceedings of the 23nd annual ACM symposium on User interface software and technology

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 112

The 2014 International Planning Competition: Progress and Trends

Vallati, M., Chrpa, L., Grześ, M., McCluskey, T. L., Roberts, M., & Sanner, S. (2015) · AI Magazine

AI-based Problem Solving and PlanningConstraint Satisfaction and Optimization

Cited by 112

Computing at the mobile edge: designing elastic android applications for computation offloading

Orsini, G., Bade, D., & Lamersdorf, W. (2015) · 2015 8th IFIP Wireless and Mobile Networking Conference (WMNC)

IoT and Edge/Fog ComputingMobile and Web Applications

Cited by 112

Semantic Evaluation for Text-to-SQL with Distilled Test Suites

Zhong, R., Yu, T., & Klein, D. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 112

Generative AI for Programming Education: Benchmarking ChatGPT, GPT-4, and Human Tutors

Phung, T., Pădurean, V.-A., Cambronero, J., Gulwani, S., Kohn, T., Majumdar, R., Singla, A., & Soares, G. (2023) · Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 112

Automated Data-Driven Generation of Personalized Pedagogical Interventions in Intelligent Tutoring Systems

Kochmar, E., Vu, D. D., Belfer, R., Gupta, V., Serban, I. V., & Pineau, J. (2022) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 112

Iterative Pseudo-Labeling for Speech Recognition

Xu, Q., Likhomanenko, T., Kahn, J., Hannun, A., Synnaeve, G., & Collobert, R. (2020) · Interspeech 2020

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 112