Most cited computer science papers
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Asking generative artificial intelligence the right questions improves writing performance
Cheng, Y., Fan, Y., Li, X., Chen, G., Gašević, D., & Swiecki, Z. (2025) · Computers and Education: Artificial Intelligence
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 21
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Integrating Equity, Diversity, and Inclusion throughout the lifecycle of Artificial Intelligence in health
Nyariro, M., Emami, E., & Abbasgholizadeh Rahimi, S. (2022) · 13th Augmented Human International Conference
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 21
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wr-AI-ter: Enhancing Ownership Perception in AI-Driven Script Writing
Weber, C. J., Burgkart, S., & Rothe, S. (2024) · ACM International Conference on Interactive Media Experiences
Digital Media and Visual ArtArt, Technology, and Culture
Cited by 21
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Exploring ROI size in deep learning based lipreading
Koumparoulis, A., Potamianos, G., Mroueh, Y., & Rennie, S. J. (2017) · The 14th International Conference on Auditory-Visual Speech Processing
Speech and Audio ProcessingSpeech Recognition and Synthesis
Cited by 21
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Block Chain: Cryptographic Method in Fourth Industrial Revolution
Faculty of Information and Communication Technology, U. T. M. M., Syahirah Abdullah, R., & M.A., F. (2018) · International Journal of Computer Network and Information Security
Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning
Cited by 21
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Blind spot detection for safe sim-to-real transfer
Ramakrishnan, R., Kamar, E., Dey, D., Horvitz, E., & Shah, J. (2020) · Journal of Artificial Intelligence Research
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 21
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Reducing annotation burden through multimodal learning
Lopez, K., Fodeh, S. J., Allam, A., Brandt, C. A., & Krauthammer, M. (2020) · Frontiers in Big Data
Multimodal Machine Learning ApplicationsRadiomics and Machine Learning in Medical Imaging
Cited by 21
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Spatio-Temporal FAST 3D Convolutions for Human Action Recognition
Stergiou, A., & Poppe, R. (2019) · 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 21
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Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication
Yin, Z., Sun, Q., Chang, C., Guo, Q., Dai, J., Huang, X., & Qiu, X. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 21
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Quantum Safe Lightweight Cryptography with Quantum Permutation Pad
Kuang, R., Lou, D., He, A., & Conlon, A. (2021) · 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)
Cryptographic Implementations and SecurityCoding theory and cryptography
Cited by 21
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Secure techniques and methods for authenticating visually impaired mobile phone users
Haque, M. M., Zawoad, S., & Hasan, R. (2013) · 2013 IEEE International Conference on Technologies for Homeland Security (HST)
User Authentication and Security SystemsGait Recognition and Analysis
Cited by 21
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Analysis of Software Defined Network firewall (SDF)
Satasiya, D., & Raviya Rupal, D. (2016) · 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
Software-Defined Networks and 5GNetwork Packet Processing and Optimization
Cited by 21
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Multimodal Age and Gender Estimation for Adaptive Human-Robot Interaction: A Systematic Literature Review
Younis, H. A., Ruhaiyem, N. I. R., Badr, A. A., Abdul-Hassan, A. K., Alfadli, I. M., Binjumah, W. M., Altuwaijri, E. A., & Nasser, M. (2023) · Processes
Face recognition and analysisSocial Robot Interaction and HRI
Cited by 21
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Insider threats in corporate environments: a case study for data leakage prevention
Stamati-Koromina, V., Ilioudis, C., Overill, R., Georgiadis, C. K., & Stamatis, D. (2012) · Proceedings of the Fifth Balkan Conference in Informatics
Information and Cyber SecurityDigital and Cyber Forensics
Cited by 21
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A General Theoretical Paradigm to Understand Learning from Human Preferences
Azar, M. G., Rowland, M., Piot, B., Guo, D., Calandriello, D., Valko, M., & Munos, R. (2023) · arXiv
Reinforcement Learning in RoboticsMachine Learning and Algorithms
Cited by 21
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DeSI: Deepfake Source Identifier for Social Media
Narayan, K., Agarwal, H., Mittal, S., Thakral, K., Kundu, S., Vatsa, M., & Singh, R. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 21
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Shaping the Emerging Norms of Using Large Language Models in Social Computing Research
Shen, H., Li, T., Li, T. J.-J., Park, J. S., & Yang, D. (2023) · Computer Supported Cooperative Work and Social Computing
Ethics and Social Impacts of AIComputational and Text Analysis Methods
Cited by 21
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Machine-assisted map editing
Bastani, F., He, S., Abbar, S., Alizadeh, M., Balakrishnan, H., Chawla, S., & Madden, S. (2018) · Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Automated Road and Building ExtractionGeographic Information Systems Studies
Cited by 21
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Theory and implementation of a very high throughput true random number generator in field programmable gate array
Wang, Y., Hui, C., Liu, C., & Xu, C. (2016) · Review of Scientific Instruments
Physical Unclonable Functions (PUFs) and Hardware SecurityAdvancements in PLL and VCO Technologies
Cited by 21
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DRAGON: Decentralized Fault Tolerance in Edge Federations
Tuli, S., Casale, G., & Jennings, N. R. (2023) · IEEE Transactions on Network and Service Management
IoT and Edge/Fog ComputingSoftware System Performance and Reliability
Cited by 21
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DevOps in an ISO 13485 Regulated Environment: A Multivocal Literature Review
Lie, M. F., Sánchez-Gordón, M., & Colomo-Palacios, R. (2020) · Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
Software Engineering Techniques and PracticesSafety Systems Engineering in Autonomy
Cited by 21
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An Intelligent Vaccine Distribution Process in COVID-19 Pandemic through Blockchain-SDN Framework from Bangladesh Perspective
Rahman, A., Islam, M. J., Karim, M. R., Kundu, D., & Kabir, S. (2021) · 2021 International Conference on Electronics, Communications and Information Technology (ICECIT)
Blockchain Technology Applications and SecurityInternet of Things and AI
Cited by 21
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SGM: Strategic Game Model for Resisting Node Misbehaviour in IoT-Cloud Ecosystem
Khan, B. U. I., Anwar, F., Rahman, F. D. B. A., Olanrewaju, R. F., Goh, K. W., Janin, Z., & Rahman, M. A. (2022) · Information
Security in Wireless Sensor NetworksIoT and Edge/Fog Computing
Cited by 21
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GPT-who: An Information Density-based Machine-Generated Text Detector
Venkatraman, S., Uchendu, A., & Lee, D. (2023) · arXiv
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 21
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