Most cited computer science papers
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Towards Robust QA Evaluation via Open LLMs
Kamalloo, E., Upadhyay, S., & Lin, J. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Topic ModelingNatural Language Processing Techniques
Cited by 15
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Automatic Detection of Bot-generated Tweets
Tourille, J., Sow, B., & Popescu, A. (2022) · Proceedings of the 1st International Workshop on Multimedia AI against Disinformation
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 15
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Self-Tuned Descriptive Document Clustering Using a Predictive Network
Brockmeier, A. J., Mu, T., Ananiadou, S., & Goulermas, J. Y. (2018) · IEEE Transactions on Knowledge and Data Engineering
Advanced Clustering Algorithms ResearchTopic Modeling
Cited by 15
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VIMES: A Wearable Memory Assistance System for Automatic Information Retrieval
Bermejo, C., Braud, T., Yang, J., Mirjafari, S., Shi, B., Xiao, Y., & Hui, P. (2020) · Proceedings of the 28th ACM International Conference on Multimedia
Augmented Reality ApplicationsInteractive and Immersive Displays
Cited by 15
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Neurodiversity in Computing Education Research: A Systematic Literature Review
Zastudil, C., Smith, D. H., Tohamy, Y., Nasimova, R., Montross, G., & MacNeil, S. (2025) · Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1
Teaching and Learning ProgrammingDisability Education and Employment
Cited by 15
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High-Round QAOA for MAX $k$-SAT on Trapped Ion NISQ Devices
Pelofske, E., Bärtschi, A., Golden, J., & Eidenbenz, S. (2023) · 2023 IEEE International Conference on Quantum Computing and Engineering (QCE)
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 15
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Understanding Similarities and Differences in Software Development Practices Across Domains
Viggiato, M., Oliveira, J., Figueiredo, E., Jamshidi, P., & Kastner, C. (2019) · 2019 ACM/IEEE 14th International Conference on Global Software Engineering (ICGSE)
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 15
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Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images
Campanella, G., Kwan, R., Fluder, E., Zeng, J., Stock, A., Veremis, B., Polydorides, A. D., Hedvat, C., Schoenfeld, A., Vanderbilt, C., et al. (2023) · arXiv
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 15
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Training a First-Order Theorem Prover from Synthetic Data
Firoiu, V., Aygun, E., Anand, A., Ahmed, Z., Glorot, X., Orseau, L., Zhang, L., Precup, D., & Mourad, S. (2021) · arXiv
Logic, programming, and type systemsLogic, Reasoning, and Knowledge
Cited by 15
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SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models
Yang, J., Jiang, H., Yin, Q., Zhang, D., Yin, B., & Yang, D. (2022) · Findings of the Association for Computational Linguistics: NAACL 2022
Topic ModelingNatural Language Processing Techniques
Cited by 15
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Finding Neurons in a Haystack: Case Studies with Sparse Probing
Gurnee, W., Nanda, N., Pauly, M., Harvey, K., Troitskii, D., & Bertsimas, D. (2023) · arXiv
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 15
- VerifiedRetracted
Construal attacks on wireless data storage applications and unraveling using machine learning algorithm
Kshirsagar, P. R., Manoharan, H., Alterazi, H. A., Alhebaishi, N., Rabie, O. B. J., & Shitharth, S. (2022) · Journal of Sensors
Network Security and Intrusion DetectionNetwork Packet Processing and Optimization
Cited by 15
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A disruptive research playbook for studying disruptive innovations
Storey, M.-A., Russo, D., Novielli, N., Kobayashi, T., & Wang, D. (2024) · ACM Transactions on Software Engineering and Methodology
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 15
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Deepfake Detection: A Multi-Algorithmic and Multi-Modal Approach for Robust Detection and Analysis
Nailwal, S., Singhal, S., Singh, N. T., & Raza, A. (2023) · 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE)
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 15
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Listen-to-nose: a low-cost system to record nasal symptoms in daily life
Chen, N.-C., Wang, K.-C., & Chu, H.-H. (2012) · Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications
Cited by 15
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RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
Wang, Y., Xian, Z., Chen, F., Wang, T.-H., Wang, Y., Fragkiadaki, K., Erickson, Z., Held, D., & Gan, C. (2023) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 15
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VeriScore: Evaluating the factuality of verifiable claims in long-form text generation
Song, Y., Kim, Y., & Iyyer, M. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024
Topic ModelingMisinformation and Its Impacts
Cited by 15
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LLM Knowledge is Brittle: Truthfulness Representations Rely on Superficial Resemblance
Haller, P., Ibrahim, M., Kirichenko, P., Sagun, L., & Bell, S. J. (2025) · arXiv
Topic ModelingAdversarial Robustness in Machine Learning
Cited by 15
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Love it or hate it!: interactivity and user types
Hart, J., Sutcliffe, A. G., & De Angeli, A. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionUsability and User Interface Design
Cited by 15
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TE-G-SAGE: Explainable Edge-Aware Graph Neural Networks for Network Intrusion Detection
Luša, R., Pintar, D., & Vranić, M. (2025) · Modelling
Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning
Cited by 15
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Software Black Box: an alternative mechanism for failure analysis
Elbaum, S., & Munson, J. C. (2002) · Proceedings 11th International Symposium on Software Reliability Engineering. ISSRE 2000
Software System Performance and ReliabilitySoftware Testing and Debugging Techniques
Cited by 15
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SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models
Li, H., Su, J., Chen, Y., Li, Q., & Zhang, Z. (2023) · arXiv
Software Engineering ResearchSpreadsheets and End-User Computing
Cited by 15
- Verified · note
Informal Learning Communities: The Other Massive Open Online 'C'
Hudgins, W., Lynch, M., Schmal, A., Sikka, H., Swenson, M., & Joyner, D. A. (2020) · Proceedings of the Seventh ACM Conference on Learning @ Scale
Online Learning and AnalyticsOnline and Blended Learning
Cited by 15
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Effects of ChatGPT-Based Human–Computer Dialogic Interaction Programming Activities on Student Engagement
Zhang, L., Jiang, Q., Xiong, W., & Zhao, W. (2025) · Journal of Educational Computing Research
Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning
Cited by 15
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