Most cited computer science papers
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Task‐Based Structures in Open Source Software: Revisiting the Onion Model
Christian, J., & Vu, A. N. (2021) · R&D Management
Open Source Software InnovationsSoftware Engineering Techniques and Practices
Cited by 7
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ThreatGet: Ensuring the Implementation of Defense-in-Depth Strategy for IIoT Based on IEC 62443
Schmittner, C., Shaaban, A. M., & Macher, G. (2022) · 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS)
Information and Cyber SecurityNetwork Security and Intrusion Detection
Cited by 7
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How susceptible are LLMs to logical fallacies?
Payandeh, A., Pluth, D., Hosier, J., Xiao, X., & Gurbani, V. K. (2024) · Proceedings of the Language Resources and Evaluation Conference
Topic ModelingNatural Language Processing Techniques
Cited by 7
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Do More Dropouts in Pool5 Feature Maps for Better Object Detection
Shen, Z., & Xue, X. (2014) · arXiv
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 7
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A/B Testing: A Systematic Literature Review
Quin, F., Weyns, D., Galster, M., & Silva, C. C. (2023) · arXiv
Software Engineering Techniques and PracticesUsability and User Interface Design
Cited by 7
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Do We Run How We Say We Run? Formalization and Practice of Governance in OSS Communities
Chakraborti, M., Atkisson, C., Stănciulescu, Ş., Filkov, V., & Frey, S. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Open Source Software InnovationsSoftware Engineering Techniques and Practices
Cited by 7
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A Routing Table Poisoning Model for Peer-to-Peer (P2P) Botnets
Tetarave, S. K., Tripathy, S., Kalaimannan, E., John, C., & Srivastava, A. (2019) · IEEE Access
Peer-to-Peer Network TechnologiesNetwork Security and Intrusion Detection
Cited by 7
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Exploring human activity annotation using a privacy preserving 3D model
Ciliberto, M., Roggen, D., & Morales, F. J. O. (2016) · Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing
Cited by 7
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D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
Hooda, A., Mangaokar, N., Feng, R., Fawaz, K., Jha, S., & Prakash, A. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Digital Media Forensic DetectionAdversarial Robustness in Machine Learning
Cited by 7
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Real-time on-board pedestrian detection using generic single-stage algorithms and on-road databases
Ortiz Castelló, V., del Tejo Catalá, O., Salvador Igual, I., & Perez-Cortes, J.-C. (2020) · International Journal of Advanced Robotic Systems
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 7
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Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents
Wu, Y., Min, S. Y., Bisk, Y., Salakhutdinov, R., Azaria, A., Li, Y., Mitchell, T., & Prabhumoye, S. (2023) · arXiv
AI-based Problem Solving and PlanningReinforcement Learning in Robotics
Cited by 7
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CToolEval: a Chinese benchmark for LLM-powered agent evaluation in real-world API interactions
Guo, Z., Huang, Y., & Xiong, D. (2024) · Findings of the Association for Computational Linguistics ACL 2024
Topic ModelingNatural Language Processing Techniques
Cited by 7
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Detection and Classification of Anomalies in WSN-Enabled Cyber-Physical Systems
Gutierrez-Rojas, D., Kalalas, C., Christou, I., Almeida, G., Eldeeb, E., Bakri, S., Marchetti, N., Sant'Ana, J. M. S., Alcaraz López, O. L., Alves, H., et al. (2025) · IEEE Sensors Journal
Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems
Cited by 7
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Against willing servitude: Autonomy in the ethics of advanced artificial intelligence
Bales, A. (2025) · The Philosophical Quarterly
Ethics and Social Impacts of AILiterary and Philosophical Studies
Cited by 7
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Unveiling the Pitfalls of Knowledge Editing for Large Language Models
Li, Z., Zhang, N., Yao, Y., Wang, M., Chen, X., & Chen, H. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 7
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Private Location Sharing for Decentralized Routing Services
Tsao, M., Yang, K., Gopalakrishnan, K., & Pavone, M. (2022) · 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection
Cited by 7
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Agent-Based Trust and Reputation Model in Smart IoT Environments
Al-Shamaileh, M., Anthony, P., & Charters, S. (2024) · Technologies
Access Control and TrustIoT and Edge/Fog Computing
Cited by 7
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Improved YOLOv4 approach: A real time occluded vehicle detection
Kumar, S., Jailia, M., & Varshney, S. (2022) · International Journal of Computing and Digital Systems
Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods
Cited by 7
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Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation
Liu, C., Wu, X., Feng, Y., Cao, Q., & Yan, J. (2023) · arXiv
Logic, programming, and type systemsSoftware Testing and Debugging Techniques
Cited by 7
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Llumnix: Dynamic Scheduling for Large Language Model Serving
Sun, B., Huang, Z., Zhao, H., Xiao, W., Zhang, X., Li, Y., & Lin, W. (2024) · arXiv
Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems
Cited by 7
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Emerging bimodal biometrics authentication for non-venue-based assessments in open distance e-learning (OdeL) environments
Amoako, P. Y. O., & Osunmakinde, I. O. (2020) · International Journal of Technology Enhanced Learning
User Authentication and Security SystemsAcademic integrity and plagiarism
Cited by 7
- Verified · note
DiffKV: Differentiated Memory Management for Large Language Models with Parallel KV Compaction
Zhang, Y., Hu, Y., Zhao, R., Lui, J. C. S., & Chen, H. (2024) · arXiv
Parallel Computing and Optimization TechniquesTopic Modeling
Cited by 7
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Cybersecurity Empirics: Evaluating Machine Learning Techniques for Phishing Detection
Hendawi, S., Jararweh, Y., Zreqat, Y., & AlZu'bi, S. (2023) · 2023 14th International Conference on Information and Communication Systems (ICICS)
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 7
- Verified · note
Computational Assistance for User Interface Design: Smarter Generation and Evaluation of Design Ideas
Hegemann, L., Jiang, Y., Shin, J. G., Liao, Y.-C., Laine, M., & Oulasvirta, A. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Usability and User Interface DesignDesign Education and Practice
Cited by 7
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