Most cited computer science papers
- Verified
Explainable Deep One-Class Classification
Liznerski, P., Ruff, L., Vandermeulen, R. A., Franks, B. J., Kloft, M., & Müller, K.-R. (2020) · arXiv
Anomaly Detection Techniques and ApplicationsExplainable Artificial Intelligence (XAI)
Cited by 185
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TinyOL: TinyML with Online-Learning on Microcontrollers
Ren, H., Anicic, D., & Runkler, T. A. (2021) · 2021 International Joint Conference on Neural Networks (IJCNN)
IoT and Edge/Fog ComputingData Stream Mining Techniques
Cited by 185
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Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge
Kang, Y., Hauswald, J., Gao, C., Rovinski, A., Mudge, T., Mars, J., & Tang, L. (2017) · ACM SIGPLAN Notices
IoT and Edge/Fog ComputingCloud Computing and Resource Management
Cited by 185
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Algorithmic transparency for the smart city
Brauneis, R., & Goodman, E. P. (2018) · Yale Journal of Law & Technology
Ethics and Social Impacts of AIE-Government and Public Services
Cited by 185
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CoLAKE: Contextualized Language and Knowledge Embedding
Sun, T., Shao, Y., Qiu, X., Guo, Q., Hu, Y., Huang, X., & Zhang, Z. (2020) · Proceedings of the 28th International Conference on Computational Linguistics
Topic ModelingAdvanced Graph Neural Networks
Cited by 185
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Why is my classifier discriminatory?
Chen, I., Johansson, F. D., & Sontag, D. (2018) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 185
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Genetic Fuzzy based Artificial Intelligence for Unmanned Combat Aerial Vehicle Control in Simulated Air Combat Missions
Ernest, N., & Carroll, D. (2016) · Journal of Defense Management
Fuzzy Logic and Control SystemsAerospace Engineering and Applications
Cited by 185
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Detecting Vulnerability on IoT Device Firmware: A Survey
Feng, X., Zhu, X., Han, Q.-L., Zhou, W., Wen, S., & Xiang, Y. (2023) · IEEE/CAA Journal of Automatica Sinica
Security and Verification in ComputingIoT and Edge/Fog Computing
Cited by 185
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Morally Motivated Networked Harassment as Normative Reinforcement
Marwick, A. E. (2021) · Social Media + Society
Hate Speech and Cyberbullying DetectionStalking, Cyberstalking, and Harassment
Cited by 185
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The False positive problem of automatic bot detection in social science research
Rauchfleisch, A., & Kaiser, J. (2020) · PLOS ONE
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 184
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MTD-Net: Learning to Detect Deepfakes Images by Multi-Scale Texture Difference
Yang, J., Li, A., Xiao, S., Lu, W., & Gao, X. (2021) · IEEE Transactions on Information Forensics and Security
Digital Media Forensic DetectionFace recognition and analysis
Cited by 184
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BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2021) · IEEE Internet of Things Journal
IoT and Edge/Fog ComputingBlockchain Technology Applications and Security
Cited by 184
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Survey of Vector Database Management Systems
Pan, J. J., Wang, J., & Li, G. (2023) · arXiv
Advanced Database Systems and QueriesData Management and Algorithms
Cited by 184
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Detecting Clusters of Fake Accounts in Online Social Networks
Xiao, C., Freeman, D. M., & Hwa, T. (2015) · Proceedings of the 8th ACM Workshop on Artificial Intelligence and Security
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 184
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Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis
Hamoud, A. K., Hashim, A. S., & Awadh, W. A. (2018) · International Journal of Interactive Multimedia and Artificial Intelligence
Online Learning and AnalyticsData Mining and Machine Learning Applications
Cited by 184
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Unmasking DeepFakes with simple Features
Durall, R., Keuper, M., Pfreundt, F.-J., & Keuper, J. (2019) · arXiv
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 184
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When UAV Swarm Meets Edge-Cloud Computing: The QoS Perspective
Chen, W., Liu, B., Huang, H., Guo, S., & Zheng, Z. (2019) · IEEE Network
IoT and Edge/Fog ComputingUAV Applications and Optimization
Cited by 184
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Distributed Abnormal Behavior Detection Approach Based on Deep Belief Network and Ensemble SVM Using Spark
Marir, N., Wang, H., Feng, G., Li, B., & Jia, M. (2018) · IEEE Access
Network Security and Intrusion DetectionNetwork Packet Processing and Optimization
Cited by 184
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Deep Learning-Based Real-Time Multiple-Object Detection and Tracking from Aerial Imagery via a Flying Robot with GPU-Based Embedded Devices
Hossain, S., & Lee, D.-J. (2019) · Sensors
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 184
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Tool Learning with Foundation Models
Qin, Y., Hu, S., Lin, Y., Chen, W., Ding, N., Cui, G., Zeng, Z., Huang, Y., Xiao, C., Han, C., et al. (2023) · arXiv
AI-based Problem Solving and PlanningArtificial Intelligence Applications
Cited by 184
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Decentralized Federated Learning With Unreliable Communications
Ye, H., Liang, L., & Li, G. Y. (2022) · IEEE Journal of Selected Topics in Signal Processing
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 184
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User attitudes towards algorithmic opacity and transparency in online reviewing platforms
Eslami, M., Vaccaro, K., Lee, M. K., Elazari Bar On, A., Gilbert, E., & Karahalios, K. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 184
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Real-Time Video Emotion Recognition Based on Reinforcement Learning and Domain Knowledge
Zhang, K., Li, Y., Wang, J., Cambria, E., & Li, X. (2022) · IEEE Transactions on Circuits and Systems for Video Technology
Emotion and Mood RecognitionSentiment Analysis and Opinion Mining
Cited by 184
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A Random Walk around the City: New Venue Recommendation in Location-Based Social Networks
Noulas, A., Scellato, S., Lathia, N., & Mascolo, C. (2012) · 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing
Recommender Systems and TechniquesHuman Mobility and Location-Based Analysis
Cited by 184
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