Check computer science papers: citations, claims and retractions

Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources

Tarumi, S., Takeuchi, W., Qi, R., Ning, X., Ruppert, L., Ban, H., Robertson, D. H., Schleyer, T., & Kawamoto, K. (2022) · Journal of Biomedical Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 12

Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos

Jafarian, Y., & Park, H. S. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 12

Learning to edit: Aligning llms with knowledge editing

Jiang, Y., Wang, Y., Wu, C., Zhong, W., Zeng, X., Gao, J., Li, L., Jiang, X., Shang, L., Tang, R., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 12

Architecture-sensitive heuristics for prioritizing critical code anomalies

Guimarães, E., Garcia, A., & Cai, Y. (2015) · Proceedings of the 14th International Conference on Modularity

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 12

With Great Power Comes Great Responsibility: What Shapes AI Literacy for Responsible Interactions of Knowledge Workers With AI?

Passlack, N., Hammerschmidt, T., & Posegga, O. (2026) · Information Systems Frontiers

Ethics and Social Impacts of AIDigital literacy in education

Cited by 12

TokenSkip: Controllable Chain-of-Thought Compression in LLMs

Xia, H., Leong, C. T., Wang, W., Li, Y., & Li, W. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

FairSSD: Understanding Bias in Synthetic Speech Detectors

Singh Yadav, A. K., Bhagtani, K., Salvi, D., Bestagini, P., & Delp, E. J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 12

Artificial Intelligence to improve learning outcomes through online collaborative activities

Nalli, G., Amendola, D., & Smith, S. (2022) · European Conference on e-Learning

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 12

Noise dynamics of quantum annealers: estimating the effective noise using idle qubits

Pelofske, E., Hahn, G., & Djidjev, H. N. (2023) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 12

Exploring Axisymmetric Shape-Change’s Purposes and Allure for Ambient Display: 16 Potential Use Cases and a Two-Month Preliminary Study on Daily Notifications

Daniel, M., & Rivière, G. (2021) · Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction

Interactive and Immersive DisplaysInnovative Human-Technology Interaction

Cited by 12

Access Control Enforcement in IoT: state of the art and open challenges in the Zero Trust era

Colombo, P., Ferrari, E., & Tumer, E. D. (2021) · 2021 Third IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)

Access Control and TrustIoT and Edge/Fog Computing

Cited by 12

Machine learning for cloud, fog, edge and serverless computing environments: comparisons, performance evaluation benchmark and future directions

Singh, P., Kaur, A., & Gill, S. S. (2022) · International Journal of Grid and Utility Computing

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 11

Robust Domain Randomised Reinforcement Learning through Peer-to-Peer Distillation

Zhao, C., & Hospedales, T. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 11

On the Impossible Safety of Large AI Models

El-Mhamdi, E.-M., Farhadkhani, S., Guerraoui, R., Gupta, N., Hoang, L.-N., Pinot, R., Rouault, S., & Stephan, J. (2022) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 11

Beamaggr: Beam aggregation reasoning over multi-source knowledge for multi-hop question answering

Chu, Z., Chen, J., Chen, Q., Wang, H., Zhu, K., Du, X., Yu, W., Liu, M., & Qin, B. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 11

Phone2Proc: Bringing Robust Robots into Our Chaotic World

Deitke, M., Hendrix, R., Farhadi, A., Ehsani, K., & Kembhavi, A. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 11

Accountability in Code Review: The Role of Intrinsic Drivers and the Impact of LLMs

Alami, A., Jensen, V., & Ernst, N. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 11

Random finite set tracking for anomaly detection in the presence of clutter

Forti, N., Millefiori, L. M., Braca, P., & Willett, P. (2020) · 2020 IEEE Radar Conference (RadarConf20)

Target Tracking and Data Fusion in Sensor NetworksAnomaly Detection Techniques and Applications

Cited by 11

MyCareBudget: Co-creating a Healthcare Digital Commons with and for Disabled Citizens and their Unpaid Carers

Glick, P., & Crivellaro, C. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 11

Bandwidth-efficient burst error tolerance in TDMA-based CAN networks

Short, M., Sheikh, I., Aley, S., & Rizvi, I. (2011) · ETFA2011

Real-Time Systems SchedulingNetwork Time Synchronization Technologies

Cited by 11

Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration

Wang, Z., Mao, S., Wu, W., Ge, T., Wei, F., & Ji, H. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 11

The Topic Confusion Task: A Novel Evaluation Scenario for Authorship Attribution

Altakrori, M., Cheung, J. C. K., & Fung, B. C. M. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 11

Tutorial: calibration refinement in quantum annealing

Chern, K., Boothby, K., Raymond, J., Farré, P., & King, A. D. (2023) · Frontiers in Computer Science

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 11

DEEPFAKER: A Unified Evaluation Platform for Facial Deepfake and Detection Models

Wang, L., Meng, X., Li, D., Zhang, X., Ji, S., & Guo, S. (2024) · ACM Transactions on Privacy and Security

Digital Media Forensic DetectionBiometric Identification and Security

Cited by 11