Most cited computer science papers
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Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
Ma, J., Zhang, Q., Lou, J., Ho, J. C., Xiong, L., & Jiang, X. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management
Privacy-Preserving Technologies in DataTensor decomposition and applications
Cited by 51
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Resource requirements for fault-tolerant quantum simulation: The ground state of the transverse Ising model
Clark, C. R., Metodi, T. S., Gasster, S. D., & Brown, K. R. (2009) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 51
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Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
Jin, B., Yoon, J., Han, J., & Arik, S. O. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 51
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Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology
Joel, M. Z., Umrao, S., Chang, E., Choi, R., Yang, D. X., Duncan, J. S., Omuro, A., Herbst, R., Krumholz, H. M., & Aneja, S. (2022) · JCO Clinical Cancer Informatics
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 51
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Side-Channel Analysis of Chaos-Based Substitution Box Structures
Acikkapi, M. S., Ozkaynak, F., & Ozer, A. B. (2019) · IEEE Access
Cryptographic Implementations and SecurityChaos-based Image/Signal Encryption
Cited by 51
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Demo Abstract: EVAPS: Edge Video Analysis for Public Safety
Zhang, Q., Yu, Z., Shi, W., & Zhong, H. (2016) · 2016 IEEE/ACM Symposium on Edge Computing (SEC)
IoT and Edge/Fog ComputingVideo Surveillance and Tracking Methods
Cited by 51
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Toy Models of Superposition
Elhage, N., Hume, T., Olsson, C., Schiefer, N., Henighan, T., Kravec, S., Hatfield-Dodds, Z., Lasenby, R., Drain, D., Chen, C., et al. (2022) · arXiv
Neural Networks and ApplicationsAdvanced Neural Network Applications
Cited by 51
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A Sociological Conversation with ChatGPT about AI Ethics, Affect and Reflexivity
Balmer, A. (2023) · Sociology
Ethics and Social Impacts of AICybernetics and Technology in Society
Cited by 51
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Integrity-based Explanations for Fostering Appropriate Trust in AI Agents
Mehrotra, S., Jorge, C. C., Jonker, C. M., & Tielman, M. L. (2024) · ACM Transactions on Interactive Intelligent Systems
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 51
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Tracking GDPR Compliance in Cloud-Based Service Delivery
Barati, M., & Rana, O. (2022) · IEEE Transactions on Services Computing
Blockchain Technology Applications and SecurityCloud Data Security Solutions
Cited by 51
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Reordering Examples Helps during Priming-based Few-Shot Learning
Kumar, S., & Talukdar, P. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 51
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Identifying Malicious Software Using Deep Residual Long-Short Term Memory
Alotaibi, A. (2019) · IEEE Access
Advanced Malware Detection TechniquesSpam and Phishing Detection
Cited by 51
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Feature Selection Boosted by Unselected Features
Zheng, W., Chen, S., Fu, Z., Zhu, F., Yan, H., & Yang, J. (2022) · IEEE Transactions on Neural Networks and Learning Systems
Face and Expression RecognitionStatistical Methods and Inference
Cited by 51
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Adversarial gesture generation with realistic gesture phasing
Ferstl, Y., Neff, M., & McDonnell, R. (2020) · Computers & Graphics
Human Motion and AnimationHand Gesture Recognition Systems
Cited by 51
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Streams and Tables: Two Sides of the Same Coin
Sax, M. J., Wang, G., Weidlich, M., & Freytag, J.-C. (2018) · Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics
Advanced Database Systems and QueriesDistributed systems and fault tolerance
Cited by 51
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Picking Up the Mantle of “Expert”: Assigned Roles, Assertion of Identity, and Peer Recognition Within a Programming Class
Fields, D., & Enyedy, N. (2013) · Mind, Culture, and Activity
Teaching and Learning ProgrammingInnovative Education and Learning Practices
Cited by 51
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A logical relation for monadic encapsulation of state: proving contextual equivalences in the presence of runST
Timany, A., Stefanesco, L., Krogh-Jespersen, M., & Birkedal, L. (2018) · Proceedings of the ACM on Programming Languages
Logic, programming, and type systemsFormal Methods in Verification
Cited by 51
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NIC: A Robust Background Extraction Algorithm for Foreground Detection in Dynamic Scenes
Huynh-The, T., Banos, O., Lee, S., Kang, B. H., Kim, E.-S., & Le-Tien, T. (2017) · IEEE Transactions on Circuits and Systems for Video Technology
Video Surveillance and Tracking MethodsInfrared Target Detection Methodologies
Cited by 51
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End-To-End Security for Video Distribution: The Combination of Encryption, Watermarking, and Video Adaptation
Boho, A., Van Wallendael, G., Dooms, A., De Cock, J., Braeckman, G., Schelkens, P., Preneel, B., & Van de Walle, R. (2013) · IEEE Signal Processing Magazine
Advanced Steganography and Watermarking TechniquesVideo Coding and Compression Technologies
Cited by 51
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Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm
Al-Shehari, T. A., Rosaci, D., Al-Razgan, M., Alfakih, T., Kadrie, M., Afzal, H., & Nawaz, R. (2024) · IEEE Access
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 51
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FAIR Principles for AI Models with a Practical Application for Accelerated High Energy Diffraction Microscopy
Ravi, N., Chaturvedi, P., Huerta, E. A., Liu, Z., Chard, R., Scourtas, A., Schmidt, K. J., Chard, K., Blaiszik, B., & Foster, I. (2022) · Scientific Data
Research Data Management PracticesScientific Computing and Data Management
Cited by 51
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Handling missing MRI sequences in deep learning segmentation of brain metastases: a multicenter study
Grøvik, E., Yi, D., Iv, M., Tong, E., Nilsen, L. B., Latysheva, A., Saxhaug, C., Jacobsen, K. D., Helland, Å., Emblem, K. E., et al. (2021) · npj Digital Medicine
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 51
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Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
Baek, J., Aji, A., & Saffari, A. (2023) · Proceedings of the First Workshop on Matching From Unstructured and Structured Data (MATCHING 2023)
Topic ModelingMultimodal Machine Learning Applications
Cited by 51
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The Ghost in the Machine has an American accent: value conflict in GPT-3
Johnson, R. L., Pistilli, G., Menédez-González, N., Duran, L. D. D., Panai, E., Kalpokiene, J., & Bertulfo, D. J. (2022) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 50
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