Most cited computer science papers
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Data models
Silberschatz, A., Korth, H. F., & Sudarshan, S. (1996) · ACM Computing Surveys
Advanced Database Systems and QueriesData Management and Algorithms
Cited by 35
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The Platonic Representation Hypothesis
Huh, M., Cheung, B., Wang, T., & Isola, P. (2024) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 35
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From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition
Lea, C., Huang, Z., Narain, J., Tooley, L., Yee, D., Tran, D. T., Georgiou, P., Bigham, J. P., & Findlater, L. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Speech Recognition and SynthesisStuttering Research and Treatment
Cited by 35
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Network bandwidth predictor (NBP): a system for online network performance forecasting
Eswaradass, A., Sun, X.-H., & Wu, M. (2006) · Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06)
Network Traffic and Congestion ControlSoftware-Defined Networks and 5G
Cited by 35
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Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation
Jesus, S., Pombal, J., Alves, D., Cruz, A., Saleiro, P., Ribeiro, R. P., Gama, J., & Bizarro, P. (2022) · arXiv
Imbalanced Data Classification TechniquesMachine Learning and Data Classification
Cited by 35
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StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
Zhou, Y., Zhou, D., Cheng, M.-M., Feng, J., & Hou, Q. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 35
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EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture
Dong, P., Zhuang, J., Yang, Z., Ji, S., Li, Y., Xu, D., Huang, H., Hu, J., Jones, A. K., Shi, Y., et al. (2024) · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Advanced Neural Network ApplicationsEmbedded Systems Design Techniques
Cited by 35
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Decentralized Quality of Service Based System for Energy Trading Among Electric Vehicles
Al-Obaidi, A. A., & Farag, H. E. Z. (2022) · IEEE Transactions on Intelligent Transportation Systems
Blockchain Technology Applications and SecurityElectric Vehicles and Infrastructure
Cited by 35
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Accuracy of GPT-4 in histopathological image detection and classification of colorectal adenomas
Laohawetwanit, T., Namboonlue, C., & Apornvirat, S. (2025) · Journal of Clinical Pathology
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 35
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Emergency department disposition prediction using a deep neural network with integrated clinical narratives and structured data
Chen, C.-H., Hsieh, J.-G., Cheng, S.-L., Lin, Y.-L., Lin, P.-H., & Jeng, J.-H. (2020) · International Journal of Medical Informatics
Machine Learning in HealthcareEmergency and Acute Care Studies
Cited by 35
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Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods
Cummings, B. C., Ansari, S., Motyka, J. R., Wang, G., Medlin Jr, R. P., Kronick, S. L., Singh, K., Park, P. K., Napolitano, L. M., Dickson, R. P., et al. (2021) · JMIR Medical Informatics
Machine Learning in HealthcareSepsis Diagnosis and Treatment
Cited by 35
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Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition
Xing, T., Sandha, S. S., Balaji, B., Chakraborty, S., & Srivastava, M. (2018) · Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking
Domain Adaptation and Few-Shot LearningContext-Aware Activity Recognition Systems
Cited by 35
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mABC: Multi-Agent Blockchain-inspired Collaboration for Root Cause Analysis in Micro-Services Architecture
Zhang, W., Guo, H., Yang, J., Tian, Z., Zhang, Y., Chaoran, Y., Li, Z., Li, T., Shi, X., Zheng, L., et al. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024
Software System Performance and ReliabilityBlockchain Technology Applications and Security
Cited by 35
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CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles
Sonkar, S., Liu, N., Mallick, D., & Baraniuk, R. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 35
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Deep reinforcement learning and its applications in medical imaging and radiation therapy: a survey
Xu, L., Zhu, S., & Wen, N. (2022) · Physics in Medicine & Biology
Reinforcement Learning in RoboticsAdvanced Radiotherapy Techniques
Cited by 35
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Stegocrypt: A robust tri‐stage spatial steganography algorithm using TLM encryption and DNA coding for securing digital images
Alexan, W., Mamdouh, E., Aboshousha, A., Alsahafi, Y. S., Gabr, M., & Hosny, K. M. (2024) · IET Image Processing
Advanced Steganography and Watermarking TechniquesChaos-based Image/Signal Encryption
Cited by 35
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Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features
Qiu, L., Zhao, L., Hou, R., Zhao, W., Zhang, S., Lin, Z., Teng, H., & Zhao, J. (2023) · Computerized Medical Imaging and Graphics
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 35
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Long Context RAG Performance of Large Language Models
Leng, Q., Portes, J., Havens, S., Zaharia, M., & Carbin, M. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 35
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Deep learning for online harassment detection in tweets
Marwa, T., Salima, O., & Souham, M. (2018) · 2018 3rd International Conference on Pattern Analysis and Intelligent Systems (PAIS)
Hate Speech and Cyberbullying DetectionSpam and Phishing Detection
Cited by 35
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ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Hao, S., Liu, T., Wang, Z., & Hu, Z. (2023) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 35
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Aerosense: A Self-Sustainable and Long-Range Bluetooth Wireless Sensor Node for Aerodynamic and Aeroacoustic Monitoring on Wind Turbines
Polonelli, T., Muller, H., Kong, W., Fischer, R., Benini, L., & Magno, M. (2023) · IEEE Sensors Journal
Bluetooth and Wireless Communication TechnologiesEnergy Efficient Wireless Sensor Networks
Cited by 35
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Large Language Models are Learnable Planners for Long-Term Recommendation
Shi, W., He, X., Zhang, Y., Gao, C., Li, X., Zhang, J., Wang, Q., & Feng, F. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
Recommender Systems and TechniquesAdvanced Bandit Algorithms Research
Cited by 35
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Correlation-Based Anomaly Detection in Industrial Control Systems
Jadidi, Z., Pal, S., Hussain, M., & Nguyen Thanh, K. (2023) · Sensors
Network Security and Intrusion DetectionSmart Grid Security and Resilience
Cited by 35
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Experiences of Multidisciplinary Development Team Members During User-Centered Design of Telecare Products and Services: A Qualitative Study
Vermeulen, J., Verwey, R., Hochstenbach, L. M., van der Weegen, S., Man, Y. P., & de Witte, L. P. (2014) · Journal of Medical Internet Research
Usability and User Interface DesignTechnology Use by Older Adults
Cited by 35
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