Check computer science papers: citations, claims and retractions

Deep Learning for Multivariate Time Series Imputation: A Survey

Wang, J., Du, W., Yang, Y., Qian, L., Cao, W., Zhang, K., Wang, W., Liang, Y., & Wen, Q. (2024) · Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence

Time Series Analysis and ForecastingTraffic Prediction and Management Techniques

Cited by 43

Medical journal requirements for clinical trial data sharing: Ripe for improvement

Naudet, F., Siebert, M., Pellen, C., Gaba, J., Axfors, C., Cristea, I., Danchev, V., Mansmann, U., Ohmann, C., Wallach, J. D., et al. (2021) · PLOS Medicine

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 43

Fairness-aware Federated Matrix Factorization

Liu, S., Ge, Y., Xu, S., Zhang, Y., & Marian, A. (2022) · Proceedings of the 16th ACM Conference on Recommender Systems

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 43

Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations

Dao, T., Gu, A., Eichhorn, M., Rudra, A., & Ré, C. (2019) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 43

Null Compliance: NYC Local Law 144 and the Challenges of Algorithm Accountability

Wright, L., Muenster, R. M., Vecchione, B., Qu, T., Pika, Cai, Investigators, C. 2. S., Metcalf, J., & Matias, J. N. (2024) · arXiv

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 43

Tracing the bias loop: AI, cultural heritage and bias-mitigating in practice

Foka, A., Griffin, G., Ortiz Pablo, D., Rajkowska, P., & Badri, S. (2025) · AI & SOCIETY

Ethics and Social Impacts of AIDigital Humanities and Scholarship

Cited by 43

Emerging algorithmic bias: fairness drift as the next dimension of model maintenance and sustainability

Davis, S. E., Dorn, C., Park, D. J., & Matheny, M. E. (2025) · Journal of the American Medical Informatics Association

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 43

Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts

Tulchinskii, E., Kuznetsov, K., Kushnareva, L., Cherniavskii, D., Barannikov, S., Piontkovskaya, I., Nikolenko, S., & Burnaev, E. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 43

The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training

Liu, S., Chen, T., Chen, X., Shen, L., Mocanu, D. C., Wang, Z., & Pechenizkiy, M. (2022) · arXiv

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 43

Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images

Kim, B. N., Dolz, J., Jodoin, P.-M., & Desrosiers, C. (2021) · IEEE Transactions on Medical Imaging

Privacy-Preserving Technologies in DataMedical Image Segmentation Techniques

Cited by 43

LLM-Guided Formal Verification Coupled with Mutation Testing

Hassan, M., Ahmadi-Pour, S., Qayyum, K., Jha, C. K., & Drechsler, R. (2024) · 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Formal Methods in VerificationSoftware Testing and Debugging Techniques

Cited by 43

A Large Inclusive Study of Human Listening Rates

Bragg, D., Bennett, C., Reinecke, K., & Ladner, R. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Speech Recognition and SynthesisTactile and Sensory Interactions

Cited by 43

Do Long-Range Language Models Actually Use Long-Range Context?

Sun, S., Krishna, K., Mattarella-Micke, A., & Iyyer, M. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 43

TollsOnly Please—Homomorphic Encryption for Toll Transponder Privacy in Internet of Vehicles

Karim, H., & Rawat, D. B. (2022) · IEEE Internet of Things Journal

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 43

The relation of culture, socio-economics, and friendship to music preferences: A large-scale, cross-country study

Liu, M., Hu, X., & Schedl, M. (2018) · PLOS ONE

Recommender Systems and TechniquesMusic History and Culture

Cited by 43

Antidiscrimination Insurance Pricing: Regulations, Fairness Criteria, and Models

Xin, X., & Huang, F. (2024) · North American Actuarial Journal

Ethics and Social Impacts of AIInsurance and Financial Risk Management

Cited by 43

Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts

Nguyen, T. T., Wilson, C., & Dalins, J. (2024) · ESANN 2024 proceesdings

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 43

Generating Better Search Engine Text Advertisements with Deep Reinforcement Learning

Hughes, J. W., Chang, K.-H., & Zhang, R. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Information Retrieval and Search BehaviorTopic Modeling

Cited by 43

Mediastinal atlas creation from 3-D chest computed tomography images: Application to automated detection and station mapping of lymph nodes

Feuerstein, M., Glocker, B., Kitasaka, T., Nakamura, Y., Iwano, S., & Mori, K. (2012) · Medical Image Analysis

Medical Image Segmentation TechniquesAI in cancer detection

Cited by 43

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation

Liang, X., Song, S., Niu, S., Li, Z., Xiong, F., Tang, B., Wang, Y., He, D., Cheng, P., Wang, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 43

Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning

Farquhar, S., Osborne, M., & Gal, Y. (2019) · arXiv

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

Cited by 43

Automatic Recognition of Fetal Facial Standard Plane in Ultrasound Image via Fisher Vector

Lei, B., Tan, E.-L., Chen, S., Zhuo, L., Li, S., Ni, D., & Wang, T. (2015) · PLOS ONE

Medical Image Segmentation TechniquesImage Retrieval and Classification Techniques

Cited by 43

A study of the influence of code-tracing problems on code-writing skills

Kumar, A. N. (2013) · Proceedings of the 18th ACM conference on Innovation and technology in computer science education

Teaching and Learning ProgrammingStatistics Education and Methodologies

Cited by 43

Enhanced Surveillance Video Compression with Dual Reference Frames Generation

Zhao, L., Wang, S., Wang, S., Ye, Y., Ma, S., & Gao, W. (2022) · IEEE Transactions on Circuits and Systems for Video Technology

Video Coding and Compression TechnologiesAdvanced Data Compression Techniques

Cited by 43