Most cited computer science papers
- Verified
Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval
Guo, Y., Ding, G., Liu, L., Han, J., & Shao, L. (2017) · IEEE Transactions on Image Processing
Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques
Cited by 108
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A Cloud-Based Framework for Machine Learning Workloads and Applications
Lopez Garcia, A., De Lucas, J. M., Antonacci, M., Zu Castell, W., David, M., Hardt, M., Lloret Iglesias, L., Molto, G., Plociennik, M., Tran, V., et al. (2020) · IEEE Access
Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems
Cited by 108
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Are We on the Right Way for Evaluating Large Vision-Language Models?
Chen, L., Li, J., Dong, X., Zhang, P., Zang, Y., Chen, Z., Duan, H., Wang, J., Qiao, Y., Lin, D., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 108
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Learning efficient navigation in vortical flow fields
Gunnarson, P., Mandralis, I., Novati, G., Koumoutsakos, P., & Dabiri, J. O. (2021) · Nature Communications
Reinforcement Learning in RoboticsBiomimetic flight and propulsion mechanisms
Cited by 108
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End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study
Jiang, X., Hoffmeister, M., Brenner, H., Muti, H. S., Yuan, T., Foersch, S., West, N. P., Brobeil, A., Jonnagaddala, J., Hawkins, N., et al. (2024) · The Lancet Digital Health
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 108
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A Cognitive Interpretation of Data Analysis
Grolemund, G., & Wickham, H. (2014) · International Statistical Review
Data Visualization and AnalyticsStatistics Education and Methodologies
Cited by 108
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Glancing Transformer for Non-Autoregressive Neural Machine Translation
Qian, L., Zhou, H., Bao, Y., Wang, M., Qiu, L., Zhang, W., Yu, Y., & Li, L. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 108
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Grover's Quantum Algorithm Applied to Global Optimization
Baritompa, W. P., Bulger, D. W., & Wood, G. R. (2005) · SIAM Journal on Optimization
Quantum Computing Algorithms and ArchitectureAdvanced Optimization Algorithms Research
Cited by 108
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Overview of the TREC 2020 Deep Learning Track
Craswell, N., Mitra, B., Yilmaz, E., & Campos, D. (2021) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 107
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Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation
Das, S., Seferbekov, S., Datta, A., Islam, M. S., & Amin, M. R. (2021) · 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Digital Media Forensic DetectionFace recognition and analysis
Cited by 107
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Deepfake Detection: A Comprehensive Survey from the Reliability Perspective
Wang, T., Liao, X., Chow, K. P., Lin, X., & Wang, Y. (2025) · ACM Computing Surveys
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 107
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Heuristics of the algorithm: Big Data, user interpretation and institutional translation
Bolin, G., & Andersson Schwarz, J. (2015) · Big Data & Society
Ethics and Social Impacts of AIBig Data Technologies and Applications
Cited by 107
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How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
Zeng, Y., Lin, H., Zhang, J., Yang, D., Jia, R., & Shi, W. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 107
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Accelerating CNN inference on FPGAs: A Survey
Abdelouahab, K., Pelcat, M., Serot, J., & Berry, F. (2018) · arXiv
Embedded Systems Design TechniquesAdvanced Neural Network Applications
Cited by 107
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Using electronic health record data to develop inpatient mortality predictive model: Acute Laboratory Risk of Mortality Score (ALaRMS)
Tabak, Y. P., Sun, X., Nunez, C. M., & Johannes, R. S. (2014) · Journal of the American Medical Informatics Association
Machine Learning in HealthcareSepsis Diagnosis and Treatment
Cited by 107
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Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers
Khader, F., Müller-Franzes, G., Wang, T., Han, T., Tayebi Arasteh, S., Haarburger, C., Stegmaier, J., Bressem, K., Kuhl, C., Nebelung, S., et al. (2023) · Radiology
Multimodal Machine Learning ApplicationsMachine Learning in Healthcare
Cited by 107
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50 Years of CS1 at SIGCSE: A Review of the Evolution of Introductory Programming Education Research
Becker, B. A., & Quille, K. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education
Teaching and Learning ProgrammingInformation Systems Education and Curriculum Development
Cited by 107
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Anchoring Bias Affects Mental Model Formation and User Reliance in Explainable AI Systems
Nourani, M., Roy, C., Block, J. E., Honeycutt, D. R., Rahman, T., Ragan, E., & Gogate, V. (2021) · 26th International Conference on Intelligent User Interfaces
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 107
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Health Monitoring Based on Internet of Medical Things: Architecture, Enabling Technologies, and Applications
Wei, K., Zhang, L., Guo, Y., & Jiang, X. (2020) · IEEE Access
IoT and Edge/Fog ComputingWireless Body Area Networks
Cited by 107
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Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networks
Zebin, T., Sperrin, M., Peek, N., & Casson, A. J. (2018) · 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Context-Aware Activity Recognition SystemsGait Recognition and Analysis
Cited by 107
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Medical data management on blockchain with privacy
Tian, H., He, J., & Ding, Y. (2019) · Journal of Medical Systems
Blockchain Technology Applications and SecurityCryptography and Data Security
Cited by 107
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Social Virtual Reality: Neurodivergence and Inclusivity in the Metaverse
Hutson, J. (2022) · Societies
Virtual Reality Applications and ImpactsEducational Technology in Learning
Cited by 107
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Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution
Zuo, W., Ren, D., Zhang, D., Gu, S., & Zhang, L. (2016) · IEEE Transactions on Image Processing
Advanced Image Processing TechniquesImage and Signal Denoising Methods
Cited by 107
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Clustering and Unsupervised Anomaly Detection with l2 Normalized Deep Auto-Encoder Representations
Aytekin, C., Ni, X., Cricri, F., & Aksu, E. (2018) · 2018 International Joint Conference on Neural Networks (IJCNN)
Advanced Clustering Algorithms ResearchAnomaly Detection Techniques and Applications
Cited by 107
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