Most cited computer science papers
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A Fair Individualized Polysocial Risk Score for Identifying Increased Social Risk in Type 2 Diabetes
Huang, Y., Guo, J., Donahoo, W. T., Lee, Y. A., Fan, Z., Lu, Y., Chen, W.-H., Tang, H., Bilello, L., Saguil, A. A., et al. (2024) · Nature Communications
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 14
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AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents
Wang, H., Poskitt, C. M., & Sun, J. (2026) · Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering
Adversarial Robustness in Machine LearningSafety Systems Engineering in Autonomy
Cited by 14
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Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Yang, A., Zhang, B., Hui, B., Gao, B., Yu, B., Li, C., Liu, D., Tu, J., Zhou, J., Lin, J., et al. (2024) · arXiv
Topic ModelingMathematics, Computing, and Information Processing
Cited by 14
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LLMs for product classification in e-commerce: A zero-shot comparative study of GPT and claude models
Roumeliotis, K. I., Tselikas, N. D., & Nasiopoulos, D. K. (2025) · Natural Language Processing Journal
Topic ModelingText and Document Classification Technologies
Cited by 14
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Self-sovereign Identities for Fighting the Impact of COVID-19 Pandemic
Gans, R. B., Ubacht, J., & Janssen, M. (2021) · Digital Government: Research and Practice
Blockchain Technology Applications and SecurityPrivacy, Security, and Data Protection
Cited by 14
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Intent-based networking for the enterprise: a modern network architecture
Falkner, M., & Apostolopoulos, J. (2022) · Communications of the ACM
Software-Defined Networks and 5GAdvanced Optical Network Technologies
Cited by 14
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Decision Tree-Based Rule Derivation for Intrusion Detection in Safety-Critical Automotive Systems
Buschlinger, L., Rieke, R., Sarda, S., & Kraus, C. (2022) · 2022 30th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
Network Security and Intrusion DetectionNetwork Packet Processing and Optimization
Cited by 14
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Query Rewriting for Retrieval-Augmented Large Language Models
Ma, X., Gong, Y., He, P., Zhao, H., & Duan, N. (2023) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 14
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Computation Offloading and Resource Allocation in MEC-enabled Vehicular Networks: Partial Offloading Versus Binary Offloading
Li, Y., & Li, L. (2024) · 2024 7th World Conference on Computing and Communication Technologies (WCCCT)
IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)
Cited by 14
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In-context Reinforcement Learning with Algorithm Distillation
Laskin, M., Wang, L., Oh, J., Parisotto, E., Spencer, S., Steigerwald, R., Strouse, D., Hansen, S., Filos, A., Brooks, E., et al. (2022) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 14
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Image-Based Lunar Hazard Detection in Low Illumination Simulated Conditions via Vision Transformers
Ghilardi, L., & Furfaro, R. (2023) · Sensors
Advanced Neural Network ApplicationsRobotics and Sensor-Based Localization
Cited by 14
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An empirical study of spreadsheet authors' mental models in explaining and debugging tasks
Kankuzi, B., & Sajaniemi, J. (2013) · 2013 IEEE Symposium on Visual Languages and Human Centric Computing
Spreadsheets and End-User ComputingData Visualization and Analytics
Cited by 14
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Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Brown, B., Juravsky, J., Ehrlich, R., Clark, R., Le, Q. V., Ré, C., & Mirhoseini, A. (2024) · arXiv
Topic ModelingSoftware Engineering Research
Cited by 14
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Electricity, Computing Hardware, and Internet Infrastructures in Health Facilities in Sierra Leone: Field Mapping Study
Chukwu, E., Garg, L., Foday, E., Konomanyi, A., Wright, R., & Smart, F. (2022) · JMIR Medical Informatics
ICT in Developing CommunitiesElectronic Health Records Systems
Cited by 14
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Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education
Tan, M., Lee, H., Wang, D., & Subramonyam, H. (2024) · Proceedings of the ACM on Human-Computer Interaction
Ethics and Social Impacts of AIOnline Learning and Analytics
Cited by 14
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Trans-centered moderation: Trans technology creators and centering transness in platform and community governance
Thach, H., Mayworm, S., Thomas, M., & Haimson, O. L. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 14
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Prototyping Practices in Software Startups: Initial Case Study Results
Bjarnason, E. (2021) · 2021 IEEE 29th International Requirements Engineering Conference Workshops (REW)
Software Engineering Techniques and PracticesBusiness Strategies and Innovation
Cited by 14
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Failures and fixes: a study of software system incident response
Sillito, J., & Kutomi, E. (2020) · 2020 IEEE International Conference on Software Maintenance and Evolution (ICSME)
Software System Performance and ReliabilitySoftware Engineering Techniques and Practices
Cited by 14
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Vulnerabilities of Unattended Face Verification Systems to Facial Components-based Presentation Attacks: An Empirical Study
Qin, L., Peng, F., Long, M., Ramachandra, R., & Busch, C. (2022) · ACM Transactions on Privacy and Security
Biometric Identification and SecurityFace recognition and analysis
Cited by 14
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Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era
Li, C., Wang, L., Ji, S., Zhang, X., Xi, Z., Guo, S., & Wang, T. (2022) · arXiv
Biometric Identification and SecurityDigital Media Forensic Detection
Cited by 14
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Debiasing pretrained text encoders by paying attention to paying attention
Gaci, Y., Benatallah, B., Casati, F., & Benabdeslem, K. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Ethics and Social Impacts of AITopic Modeling
Cited by 14
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TinyFedTL: Federated Transfer Learning on Tiny Devices
Kopparapu, K., & Lin, E. (2021) · arXiv
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 14
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Optimization of the mainzelliste software for fast privacy-preserving record linkage
Rohde, F., Franke, M., Sehili, Z., Lablans, M., & Rahm, E. (2021) · Journal of Translational Medicine
Data Quality and ManagementPrivacy-Preserving Technologies in Data
Cited by 14
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Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness
Park, N., & Kim, S. (2021) · arXiv
Adversarial Robustness in Machine LearningAdvanced Neural Network Applications
Cited by 14
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