Most cited computer science papers
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Comparing acoustic and textual representations of previous linguistic context for improving Text-to-Speech
Oplustil-Gallegos, P., O'Mahony, J., & King, S. (2021) · 11th ISCA Speech Synthesis Workshop (SSW 11)
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 7
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LogBERT: Log Anomaly Detection via BERT
Guo, H., Yuan, S., & Wu, X. (2021) · arXiv
Software System Performance and ReliabilityAnomaly Detection Techniques and Applications
Cited by 7
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Automatic radiology report generation with deep learning: a comprehensive review of methods and advances
Li, Y., Kong, C., Zhao, G., & Zhao, Z. (2025) · Artificial Intelligence Review
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 7
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Deep Learning for Skeleton-Based Human Activity Segmentation: An Autoencoder Approach
Hossen, M. A., Naim, A. G., & Abas, P. E. (2024) · Technologies
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 7
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OP-DCI: A Riskless K-Means Clustering for Influential User Identification in MOOC Forum
Hou, X., Lei, C.-U., & Kwok, Y.-K. (2017) · 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)
Online Learning and AnalyticsAdvanced Clustering Algorithms Research
Cited by 7
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HelpSteer2: Open-source dataset for training top-performing reward models
Wang, Z., Dong, Y., Delalleau, O., Zeng, J., Shen, G., Egert, D., Zhang, J. J., Sreedhar, M. N., & Kuchaiev, O. (2024) · arXiv
Reinforcement Learning in RoboticsTopic Modeling
Cited by 7
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Prompted Contextual Vectors for Spear-Phishing Detection
Nahmias, D., Engelberg, G., Klein, D., & Shabtai, A. (2024) · arXiv
Spam and Phishing DetectionAdversarial Robustness in Machine Learning
Cited by 7
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Processing body sensor data streams for continuous physiological monitoring
Pradhan, G. N., Chattopadhyay, R., & Panchanathan, S. (2010) · Proceedings of the international conference on Multimedia information retrieval
Context-Aware Activity Recognition SystemsMuscle activation and electromyography studies
Cited by 7
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Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation
Aithal, M. B., & Li, X. (2022) · IEEE Access
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 7
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System Cards for AI-Based Decision-Making for Public Policy
Gursoy, F., & Kakadiaris, I. A. (2022) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 7
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Insider Threat Detection Using Bidirectional Encoder Representations From Transformers and Optimized AdaBoost Classifier
Kumpf, K., Protic, M., Jovanovic, L., Cajic, M., Zivkovic, M., & Bacanin, N. (2024) · 2024 International Conference on Circuit, Systems and Communication (ICCSC)
Spam and Phishing DetectionNetwork Security and Intrusion Detection
Cited by 7
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Distribution of the Number of Retransmissions of Bounded Documents
Jelenković, P. R., & Skiani, E. D. (2015) · Advances in Applied Probability
Network Traffic and Congestion ControlAdvanced Queuing Theory Analysis
Cited by 7
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To what extent can ASV systems naturally defend against spoofing attacks?
Jung, J.-W., Wang, X., Evans, N., Watanabe, S., Shim, H.-J., Tak, H., Arora, S., Yamagishi, J., & Chung, J. S. (2024) · Interspeech 2024
Speech Recognition and SynthesisAdversarial Robustness in Machine Learning
Cited by 7
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What's the Magic Word? A Control Theory of LLM Prompting
Bhargava, A., Witkowski, C., Looi, S.-Z., & Thomson, M. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 7
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Evade ChatGPT Detectors via A Single Space
Cai, S., & Cui, W. (2023) · arXiv
Authorship Attribution and ProfilingAdversarial Robustness in Machine Learning
Cited by 7
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Multibranch Wavelet-Based Network for Image Demoiréing
Yeh, C.-H., Lo, C., & He, C.-H. (2024) · Sensors
Advanced Image Processing TechniquesImage Enhancement Techniques
Cited by 7
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An Analysis of PhotoDNA
Steinebach, M. (2023) · Proceedings of the 18th International Conference on Availability, Reliability and Security
Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection
Cited by 7
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CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference
Yu, E., Li, J., Liao, M., Wang, S., Gao, Z., Mi, F., & Hong, L. (2024) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 7
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Where Am I From? Identifying Origin of LLM-generated Content
Li, L., Bai, Y., & Cheng, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection
Cited by 7
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Empirical compression features of mobile computing and data applications using deep neural networks
Almagrabi, H., Alshareef, A. M., Manoharan, H., Mujlid, H., Yafoz, A., & Selvarajan, S. (2022) · Security and Communication Networks
Advanced Data Compression TechniquesVideo Coding and Compression Technologies
Cited by 7
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Modeling an edge computing arithmetic framework for IoT environments
Roig, P. J., Alcaraz, S., Gilly, K., Bernad, C., & Juiz, C. (2022) · Sensors
IoT and Edge/Fog ComputingNetwork Packet Processing and Optimization
Cited by 7
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CoWME: a general framework to evaluate cognitive workload during multimodal interaction
Calandra, D. M., Caso, A., Cutugno, F., Origlia, A., & Rossi, S. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction
Usability and User Interface DesignHuman-Automation Interaction and Safety
Cited by 7
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FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation
Vu, T., Iyyer, M., Wang, X., Constant, N., Wei, J., Wei, J., Tar, C., Sung, Y.-H., Zhou, D., Le, Q., et al. (2023) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 7
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App Planner: Utilizing Generative AI in K-12 Mobile App Development Education
Kim, D. Y. J., Ravi, P., Williams, R., & Yoo, D. (2024) · Proceedings of the 23rd Annual ACM Interaction Design and Children Conference
Teaching and Learning ProgrammingUsability and User Interface Design
Cited by 7
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