Most cited computer science papers
- Verified
Challenging Code: A Sociological Reading of the KDE Free Software Project
Alleyne, B. (2011) · Sociology
Open Source Software InnovationsSoftware Engineering Techniques and Practices
Cited by 26
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LLM Agents can Autonomously Exploit One-day Vulnerabilities
Fang, R., Bindu, R., Gupta, A., & Kang, D. (2024) · arXiv
Web Application Security VulnerabilitiesAdversarial Robustness in Machine Learning
Cited by 26
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RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Lin, X. V., Chen, X., Chen, M., Shi, W., Lomeli, M., James, R., Rodriguez, P., Kahn, J., Szilvasy, G., Lewis, M., et al. (2023) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 26
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Gate-based quantum computing for protein design
Khatami, M. H., Mendes, U. C., Wiebe, N., & Kim, P. M. (2023) · PLOS Computational Biology
Quantum Computing Algorithms and ArchitectureDNA and Biological Computing
Cited by 26
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Experimental realization of the Deutsch-Jozsa algorithm with a six-qubit cluster state
Vallone, G., Donati, G., Bruno, N., Chiuri, A., & Mataloni, P. (2010) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 26
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Dispersed Pixel Perturbation-Based Imperceptible Backdoor Trigger for Image Classifier Models
Wang, Y., Zhao, M., Li, S., Yuan, X., & Ni, W. (2022) · IEEE Transactions on Information Forensics and Security
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 26
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Word Clarity as a Metric in Sampling Keyboard Test Sets
Yi, X., Yu, C., Shi, W., Bi, X., & Shi, Y. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Usability and User Interface DesignUser Authentication and Security Systems
Cited by 26
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DeePhy: On Deepfake Phylogeny
Narayan, K., Agarwal, H., Thakral, K., Mittal, S., Vatsa, M., & Singh, R. (2022) · 2022 IEEE International Joint Conference on Biometrics (IJCB)
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 26
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A tiny inertial transformer for human activity recognition via multimodal knowledge distillation and explainable AI
Lamaakal, I., Yahyati, C., Maleh, Y., El Makkaoui, K., Ouahbi, I., El-Latif, A. A. A., Zomorodi, M., & El-Rahiem, B. A. (2025) · Scientific Reports
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 26
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Factors motivating citizen engagement in mobile sensing: Insights from a survey of non-participants
Leao, S., & Izadpahani, P. (2016) · Journal of Urban Technology
Mobile Crowdsensing and CrowdsourcingSmart Cities and Technologies
Cited by 26
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Blockchain Enabled Anonymous Privacy-Preserving Authentication Scheme for Internet of Health Things
Rajasekaran, A. S., Maria, A., Rajagopal, M., & Lorincz, J. (2022) · Sensors
Advanced Authentication Protocols SecurityBlockchain Technology Applications and Security
Cited by 26
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Uncovering instabilities in variational-quantum deep Q-networks
Franz, M., Wolf, L., Periyasamy, M., Ufrecht, C., Scherer, D. D., Plinge, A., Mutschler, C., & Mauerer, W. (2023) · Journal of the Franklin Institute
Quantum Computing Algorithms and ArchitectureReinforcement Learning in Robotics
Cited by 26
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Using Deep Learning to Detecting Deepfakes
Mallet, J., Dave, R., Seliya, N., & Vanamala, M. (2022) · 2022 9th International Conference on Soft Computing & Machine Intelligence (ISCMI)
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 26
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Reducing the energy consumption of large-scale computing systems through combined shutdown policies with multiple constraints
Benoit, A., Lefèvre, L., Orgerie, A.-C., & Raïs, I. (2018) · The International Journal of High Performance Computing Applications
Energy Efficiency in ComputingCloud Computing and Resource Management
Cited by 26
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Semantic segmentation based on Deep learning for the detection of Cyanobacterial Harmful Algal Blooms (CyanoHABs) using synthetic images
Barrientos-Espillco, F., Gascó, E., López-González, C. I., Gómez-Silva, M. J., & Pajares, G. (2023) · Applied Soft Computing
Remote-Sensing Image ClassificationAdvanced Neural Network Applications
Cited by 26
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Wearable Device for Observation of Physical Activity with the Purpose of Patient Monitoring Due to COVID-19
Daskalos, A.-C., Theodoropoulos, P., Spandonidis, C., & Vordos, N. (2022) · Signals
Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring
Cited by 26
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Vandermonde factorization of Toeplitz matrices and applications in filtering and warping
Backstrom, T. (2013) · IEEE Transactions on Signal Processing
Digital Filter Design and ImplementationMathematical Analysis and Transform Methods
Cited by 26
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Supersparse Linear Integer Models for Interpretable Classification
Ustun, B., Tracà, S., & Rudin, C. (2013) · arXiv
Explainable Artificial Intelligence (XAI)Statistical Methods and Inference
Cited by 26
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Classification of Human- and AI-Generated Texts for English, French, German, and Spanish
Schaaff, K., Schlippe, T., & Mindner, L. (2023) · arXiv
Authorship Attribution and ProfilingNatural Language Processing Techniques
Cited by 26
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Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Yue, K., Jin, R., Wong, C.-W., Baron, D., & Dai, H. (2022) · arXiv
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 26
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Globalizing and crowdsourcing biomedical research
Afshinnekoo, E., Ahsanuddin, S., & Mason, C. E. (2016) · British Medical Bulletin
Mobile Crowdsensing and CrowdsourcingResearch Data Management Practices
Cited by 26
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Logiqa 2.0—An improved dataset for logical reasoning in natural language understanding
Liu, H., Liu, J., Cui, L., Teng, Z., Duan, N., Zhou, M., & Zhang, Y. (2023) · IEEE/ACM Transactions on Audio Speech and Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 26
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LLMs are Biased Teachers: Evaluating LLM Bias in Personalized Education
Weissburg, I., Anand, S., Levy, S., & Jeong, H. (2024) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence in Education
Cited by 26
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Analysis of Legacy System in Software Application Development: A Comparative Survey
Srinivas, M., Ramakrishna, G., Rao, K. R., & Babu, E. S. (2016) · International Journal of Electrical and Computer Engineering (IJECE)
Software Engineering ResearchAdvanced Software Engineering Methodologies
Cited by 26
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