Most cited computer science papers
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Digital pathology: Review of current opportunities and challenges for oral pathologists
Liu, Y., & Pantanowitz, L. (2019) · Journal of Oral Pathology & Medicine
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 28
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Fairness of ChatGPT
Li, Y., Zhang, L., & Zhang, Y. (2023) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 28
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Personalized Large Language Models
Woźniak, S., Koptyra, B., Janz, A., Kazienko, P., & Kocoń, J. (2024) · 2024 IEEE International Conference on Data Mining Workshops (ICDMW)
Sentiment Analysis and Opinion MiningTopic Modeling
Cited by 28
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Automated Playtesting of Matching Tile Games
Mugrai, L., Silva, F., Holmgard, C., & Togelius, J. (2019) · 2019 IEEE Conference on Games (CoG)
Artificial Intelligence in GamesEvolutionary Algorithms and Applications
Cited by 28
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Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals
Glasser, A. T., Kushalnagar, K. R., & Kushalnagar, R. S. (2017) · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility
Speech Recognition and SynthesisAssistive Technology in Communication and Mobility
Cited by 28
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Evolving Curricula with Regret-Based Environment Design
Parker-Holder, J., Jiang, M., Dennis, M., Samvelyan, M., Foerster, J., Grefenstette, E., & Rocktäschel, T. (2022) · arXiv
Reinforcement Learning in RoboticsEvolutionary Algorithms and Applications
Cited by 28
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Predicting interruptibility for manual data collection: a cluster-based user model
Visuri, A., van Berkel, N., Luo, C., Goncalves, J., Ferreira, D., & Kostakos, V. (2017) · Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services
Innovative Human-Technology InteractionPersonal Information Management and User Behavior
Cited by 28
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Enhancing elderly care: Efficient and reliable real-time fall detection algorithm
Wang, Y., & Deng, T. (2024) · DIGITAL HEALTH
Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention
Cited by 28
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Discriminative Learning for Automatic Staging of Placental Maturity via Multi-layer Fisher Vector
Lei, B., Yao, Y., Chen, S., Li, S., Li, W., Ni, D., & Wang, T. (2015) · Scientific Reports
Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging
Cited by 28
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Multiclass Anomaly Detection in Flight Data Using Semi-Supervised Explainable Deep Learning Model
Memarzadeh, M., Matthews, B., & Templin, T. (2022) · Journal of Aerospace Information Systems
Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems
Cited by 28
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CEML: Mixing and moving complex event processing and machine learning to the edge of the network for IoT applications
Soto, J. A. C., Jentsch, M., Preuveneers, D., & Ilie-Zudor, E. (2016) · Proceedings of the 6th International Conference on the Internet of Things
IoT and Edge/Fog ComputingData Stream Mining Techniques
Cited by 28
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Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED
Huang, Q., Hao, S., Ye, Y., Zhu, S., Feng, Y., & Zhao, D. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 28
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Improving CNN-based activity recognition by data augmentation and transfer learning
Kalouris, G., Zacharaki, E. I., & Megalooikonomou, V. (2019) · 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting
Cited by 28
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On Approximately Searching for Similar Word Embeddings
Sugawara, K., Kobayashi, H., & Iwasaki, M. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Advanced Image and Video Retrieval TechniquesTopic Modeling
Cited by 28
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Multi-Modal Dynamic Graph Transformer for Visual Grounding
Chen, S., & Li, B. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 28
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Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
Bao, G., Zhao, Y., Teng, Z., Yang, L., & Zhang, Y. (2023) · arXiv
Authorship Attribution and ProfilingAdversarial Robustness in Machine Learning
Cited by 28
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Multi-modal human action recognition using deep neural networks fusing image and inertial sensor data
Hwang, I., Cha, G., & Oh, S. (2017) · 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 28
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Edge Computing and Microservices Middleware for Home Energy Management Systems
Ferreira, L. C. B. C., Borchardt, A. D. R., Cardoso, G. D. S., Mendes Lemes, D. A., Sousa, G. R. D. R. D., Neto, F. B., de Lima, E. R., Fraidenraich, G., Cardieri, P., & Meloni, L. G. P. (2022) · IEEE Access
IoT and Edge/Fog ComputingIoT-based Smart Home Systems
Cited by 28
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The Effects of GitHub Copilot on Computing Students' Programming Effectiveness, Efficiency, and Processes in Brownfield Coding Tasks
Shihab, M. I. H., Hundhausen, C., Tariq, A., Haque, S., Qiao, Y., & Mulanda, B. W. (2025) · Proceedings of the 2025 ACM Conference on International Computing Education Research V.1
Teaching and Learning ProgrammingSoftware Engineering Research
Cited by 28
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Designing Toxic Content Classification for a Diversity of Perspectives
Kumar, D., Kelley, P. G., Consolvo, S., Mason, J., Bursztein, E., Durumeric, Z., Thomas, K., & Bailey, M. (2021) · arXiv
Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI
Cited by 28
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An Artificial Intelligence Definition and Classification Framework for Public Sector Applications
Ballester, O. (2021) · DG.O2021: The 22nd Annual International Conference on Digital Government Research
Ethics and Social Impacts of AIE-Government and Public Services
Cited by 28
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Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation
Zhan, A., Zhao, R., Pinto, L., Abbeel, P., & Laskin, M. (2020) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 28
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Learning management systems and their impact on academic work
Brady, M., & O’Reilly, N. (2020) · Technology, Pedagogy and Education
Educational Technology and E-LearningDigital Transformation of Higher Education
Cited by 28
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Large Language Models in Fault Localisation
Wu, Y., Li, Z., Zhang, J. M., Papadakis, M., Harman, M., & Liu, Y. (2023) · arXiv
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 28
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