Most cited computer science papers
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VFIRM: Verifiable Fine-Grained Encrypted Image Retrieval in Multi-owner Multi-user Settings
Tong, Q., Miao, Y., Chen, L., Weng, J., Liu, X., Choo, K.-K. R., & Deng, R. H. (2022) · IEEE Transactions on Services Computing
Cryptography and Data SecurityCloud Data Security Solutions
Cited by 58
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Multimodal semantic segmentation in autonomous driving: A review of current approaches and future perspectives
Rizzoli, G., Barbato, F., & Zanuttigh, P. (2022) · Technologies
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 58
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Identifying ChatGPT-Generated Texts in EFL Students’ Writing: Through Comparative Analysis of Linguistic Fingerprints
Mizumoto, A., Yasuda, S., & Tamura, Y. (2024) · Applied Corpus Linguistics
Authorship Attribution and ProfilingEFL/ESL Teaching and Learning
Cited by 58
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Influence of low resolution of images on reliability of face detection and recognition
Marciniak, T., Chmielewska, A., Weychan, R., Parzych, M., & Dabrowski, A. (2015) · Multimedia Tools and Applications
Face recognition and analysisFace and Expression Recognition
Cited by 58
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Automatic ovarian tumors recognition system based on ensemble convolutional neural network with ultrasound imaging
Hsu, S.-T., Su, Y.-J., Hung, C.-H., Chen, M.-J., Lu, C.-H., & Kuo, C.-E. (2022) · BMC Medical Informatics and Decision Making
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 58
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A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily
Ding, P., Kuang, J., Ma, D., Cao, X., Xian, Y., Chen, J., & Huang, S. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 58
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Building truths in AI: Making predictive algorithms doable in healthcare
Henriksen, A., & Bechmann, A. (2020) · Information, Communication & Society
Ethics and Social Impacts of AIInformation Systems Theories and Implementation
Cited by 58
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AI-GAN: Attack-Inspired Generation of Adversarial Examples
Bai, T., Zhao, J., Zhu, J., Han, S., Chen, J., Li, B., & Kot, A. (2021) · 2021 IEEE International Conference on Image Processing (ICIP)
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 58
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Implementing Usage Control in Internet of Things: A Smart Home Use Case
Marra, A. L., Martinelli, F., Mori, P., & Saracino, A. (2017) · 2017 IEEE Trustcom/BigDataSE/ICESS
Access Control and TrustIoT and Edge/Fog Computing
Cited by 58
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The Intrinsic Cause-Effect Power of Discrete Dynamical Systems–From Elementary Cellular Automata to Adapting Animats
Albantakis, L., & Tononi, G. (2015) · Entropy
Cellular Automata and ApplicationsComplex Systems and Dynamics
Cited by 58
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Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
Li, Y., Xu, S., Zhang, B., Cao, X., Gao, P., & Guo, G. (2022) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 58
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ChatGPT: temptations of progress
Doshi, R. H., Bajaj, S. S., & Krumholz, H. M. (2023) · The American Journal of Bioethics
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 58
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Duality TV-L1 flow with fundamental matrix prior
Wedel, A., Pock, T., Braun, J., Franke, U., & Cremers, D. (2008) · 2008 23rd International Conference Image and Vision Computing New Zealand
Advanced Vision and ImagingVideo Surveillance and Tracking Methods
Cited by 58
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A Deep Learning-Driven Self-Conscious Distributed Cyber-Physical System for Renewable Energy Communities
Cicceri, G., Tricomi, G., D’Agati, L., Longo, F., Merlino, G., & Puliafito, A. (2023) · Sensors
IoT and Edge/Fog ComputingSmart Grid Energy Management
Cited by 58
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Chiral quantum walks
Lu, D., Biamonte, J. D., Li, J., Li, H., Johnson, T. H., Bergholm, V., Faccin, M., Zimborás, Z., Laflamme, R., Baugh, J., et al. (2016) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 58
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Biosec: a biometric authentication framework for secure and private communication among edge devices in iot and industry 4.0
Golec, M., Gill, S. S., Bahsoon, R., & Rana, O. (2022) · IEEE Consumer Electronics Magazine
Biometric Identification and SecurityAdvanced Authentication Protocols Security
Cited by 58
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Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks
Sundaresan, V., Bridge, C. P., Ioannou, C., & Noble, J. A. (2017) · 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education
Cited by 58
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Self-Reflection in Large Language Model Agents: Effects on Problem-Solving Performance
Renze, M., & Guven, E. (2024) · 2024 2nd International Conference on Foundation and Large Language Models (FLLM)
Topic ModelingAI-based Problem Solving and Planning
Cited by 58
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TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime
Craswell, N., Mitra, B., Yilmaz, E., Campos, D., Voorhees, E. M., & Soboroff, I. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval
Information Retrieval and Search BehaviorTopic Modeling
Cited by 58
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Quantifying the user experience: practical statistics for user research by Jeff Sauro and James R. Lewis
Sampaio, A. (2013) · ACM SIGSOFT Software Engineering Notes
Usability and User Interface DesignSoftware Engineering Techniques and Practices
Cited by 58
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MS-Rank: Multi-Metric and Self-Adaptive Root Cause Diagnosis for Microservice Applications
Ma, M., Lin, W., Pan, D., & Wang, P. (2019) · 2019 IEEE International Conference on Web Services (ICWS)
Software System Performance and ReliabilityCloud Computing and Resource Management
Cited by 58
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Wearable devices—addressing bias and inequity
Zinzuwadia, A., & Singh, J. P. (2022) · The Lancet Digital Health
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 58
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Industrial internet of things (IIoT) forensics: The forgotten concept in the race towards industry 4.0
Kebande, V. R. (2022) · Forensic Science International Reports
Digital and Cyber ForensicsDigital Transformation in Industry
Cited by 58
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EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing
Yu, F., Cui, L., Wang, P., Han, C., Huang, R., & Huang, X. (2021) · IEEE Internet of Things Journal
Advanced Neural Network ApplicationsIoT and Edge/Fog Computing
Cited by 58
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