Most cited computer science papers
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Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model
Zhang, Y., Yuan, Y., Song, Y., & Liu, J. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisFace recognition and analysis
Cited by 16
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User Preference and Categories for Error Responses in Conversational User Interfaces
Yuan, S., Brüggemeier, B., Hillmann, S., & Michael, T. (2020) · Proceedings of the 2nd Conference on Conversational User Interfaces
Speech and dialogue systemsAI in Service Interactions
Cited by 16
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AI chatbot accountability in the age of algorithmic gatekeeping: Comparing generative search engine political information retrieval across five languages
Kuai, J., Brantner, C., Karlsson, M., Van Couvering, E., & Romano, S. (2026) · New Media & Society
Ethics and Social Impacts of AIMisinformation and Its Impacts
Cited by 16
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Adaptive Capacity Provisioning for Carbon-Aware Data Centers: A Digital Twin-Based Approach
Cao, Z., Wang, R., Zhou, X., Tan, R., Wen, Y., Yan, Y., & Wang, Z. (2025) · IEEE Transactions on Sustainable Computing
Cloud Computing and Resource ManagementEnergy Efficiency in Computing
Cited by 16
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An image encryption algorithm based on a novel 4D hyperchaotic system and improved Knight’s Tour scrambling algorithm
Deng, X., Chen, Z., Long, B., Liu, T., Wu, X., Zheng, Z., Zou, S., & Cao, C. (2025) · Physica Scripta
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 16
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Public governance of medical artificial intelligence research in the UK: an integrated multi-scale model
McKay, F., Williams, B. J., Prestwich, G., Treanor, D., & Hallowell, N. (2022) · Research Involvement and Engagement
Ethics and Social Impacts of AIEthics in Clinical Research
Cited by 16
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Si nanodevices for random number generating circuits for cryptographic security
Fujita, S., Uchida, K., Yasuda, S., Ohba, R., Nozaki, H., & Tanamoto, T. (2004) · 2004 IEEE International Solid-State Circuits Conference (IEEE Cat. No.04CH37519)
Physical Unclonable Functions (PUFs) and Hardware SecurityCryptographic Implementations and Security
Cited by 16
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Scrolling in the Deep: Analysing Contextual Influences on Intervention Effectiveness during Infinite Scrolling on Social Media
Meinhardt, L.-M., Elhaidary, M., Colley, M., Rietzler, M., Rixen, J. O., Purohit, A. K., & Rukzio, E. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionImpact of Technology on Adolescents
Cited by 16
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Sharing of Individual Patient-Level Data by Trialists of Randomized Clinical Trials of Pharmacological Treatments for COVID-19
Esmail, L. C., Kapp, P., Assi, R., Wood, J., Regan, G., Ravaud, P., & Boutron, I. (2023) · JAMA
Research Data Management PracticesAcademic Publishing and Open Access
Cited by 16
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Deepfake Speech Detection: A Spectrogram Analysis
Firc, A., Malinka, K., & Hanáček, P. (2024) · Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 16
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Can search result summaries enhance the web search efficiency and experiences of the visually impaired users?
Aqle, A., Al-Thani, D., & Jaoua, A. (2022) · Universal Access in the Information Society
Information Retrieval and Search BehaviorDigital Accessibility for Disabilities
Cited by 16
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LLM Agents Making Agent Tools
Wölflein, G., Ferber, D., Truhn, D., Arandjelovic, O., & Kather, J. N. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 16
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Navigating the Soundscape of Deception: A Comprehensive Survey on Audio Deepfake Generation, Detection, and Future Horizons
Wani, T. M., Qadri, S. A. A., Wani, F. A., & Amerini, I. (2024) · Foundations and Trends® in Privacy and Security
Speech Recognition and SynthesisDigital Media Forensic Detection
Cited by 16
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Beat LLMs at their own game: Zero-shot LLM-generated text detection via querying ChatGPT
Zhu, B., Yuan, L., Cui, G., Chen, Y., Fu, C., He, B., Deng, Y., Liu, Z., Sun, M., & Gu, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Authorship Attribution and ProfilingTopic Modeling
Cited by 16
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Detection of Anomalies in Large-Scale Cyberattacks Using Fuzzy Neural Networks
de Campos Souza, P. V., Guimarães, A. J., Rezende, T. S., Silva Araujo, V. J., & Araujo, V. S. (2020) · AI
Network Security and Intrusion DetectionArtificial Immune Systems Applications
Cited by 16
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Fraud De-Anonymization for Fun and Profit
Hernandez, N., Rahman, M., Recabarren, R., & Carbunar, B. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 16
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Simulating Energy Transfer in Molecular Systems with Digital Quantum Computers
Lee, C.-K., Lau, J. W. Z., Shi, L., & Kwek, L. C. (2021) · arXiv
Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies
Cited by 16
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Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs
Girgis, A. M., Data, D., Diggavi, S., Kairouz, P., & Suresh, A. T. (2020) · arXiv
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 16
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Improved DeepSORT Algorithm Based on Multi Feature Fusion
Liu, H., Pei, Y., Bei, Q., & Deng, L. (2022) · Applied System Innovation
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 16
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Kurtosis of Room Impulse Responses as a Diffuseness Measure for Reverberation Chambers
Jeong, C.-H. (2016) · The Journal of the Acoustical Society of America
Speech and Audio ProcessingAcoustic Wave Phenomena Research
Cited by 16
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Reflections on the Ecolab and the Zone of Proximal Development
Luckin, R., & du Boulay, B. (2016) · International Journal of Artificial Intelligence in Education
Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods
Cited by 16
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Do we still need gold standards for evaluation?
Poibeau, T., & Messiant, C. (2008) · Proceedings of the Language Resources and Evaluation Conference
Natural Language Processing TechniquesTopic Modeling
Cited by 16
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Investigating Layer Importance in Large Language Models
Zhang, Y., Dong, Y., & Kawaguchi, K. (2024) · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 16
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Investigating the feasibility of extracting tool demonstrations from in-situ video content
Lafreniere, B., Grossman, T., Matejka, J., & Fitzmaurice, G. (2014) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Usability and User Interface DesignData Visualization and Analytics
Cited by 16
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