Most cited computer science papers
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AI, people, and society
Horvitz, E. (2017) · Science
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 42
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Image encryption using hybrid chaotic map
Abdullah, H. N., & Abdullah, H. A. (2017) · 2017 International Conference on Current Research in Computer Science and Information Technology (ICCIT)
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 42
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Retention of participants recruited to a multi-year longitudinal study via Prolific
Kothe, E. J., & Ling, M. (2019)
Mobile Crowdsensing and CrowdsourcingSurvey Methodology and Nonresponse
Cited by 42
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Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
Sood, E., Tannert, S., Mueller, P., & Bulling, A. (2020) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 42
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Recaptured screen image demoiréing
Yue, H., Mao, Y., Liang, L., Xu, H., Hou, C., & Yang, J. (2021) · IEEE Transactions on Circuits and Systems for Video Technology
Advanced Image Processing TechniquesImage Enhancement Techniques
Cited by 42
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Propagating quantum walks: The origin of interference structures
Knight, P. L., Roldán, E., & Sipe, J. E. (2004) · Journal of Modern Optics
Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications
Cited by 42
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Do as I Do, Not as I Say: Do Contribution Guidelines Match the GitHub Contribution Process?
Elazhary, O., Storey, M.-A., Ernst, N., & Zaidman, A. (2019) · 2019 IEEE International Conference on Software Maintenance and Evolution (ICSME)
Software Engineering Techniques and PracticesOpen Source Software Innovations
Cited by 42
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Francois Raynaud on DevSecOps
Carter, K. (2017) · IEEE Software
Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities
Cited by 42
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Visualization of network data provenance
Chen, P., Plale, B., Cheah, Y.-W., Ghoshal, D., Jensen, S., & Luo, Y. (2012) · 2012 19th International Conference on High Performance Computing
Data Visualization and AnalyticsScientific Computing and Data Management
Cited by 42
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Multi-modal Multi-cultural Dimensional Continues Emotion Recognition in Dyadic Interactions
Zhao, J., Li, R., Chen, S., & Jin, Q. (2018) · Proceedings of the 2018 on Audio/Visual Emotion Challenge and Workshop
Emotion and Mood RecognitionSentiment Analysis and Opinion Mining
Cited by 42
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Private and Utility Enhanced Recommendations With Local Differential Privacy and Gaussian Mixture Model
Neera, J., Chen, X., Aslam, N., Wang, K., & Shu, Z. (2023) · IEEE Transactions on Knowledge and Data Engineering
Privacy-Preserving Technologies in DataRecommender Systems and Techniques
Cited by 42
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TPrune: Efficient Transformer Pruning for Mobile Devices
Mao, J., Yang, H., Li, A., Li, H., & Chen, Y. (2021) · ACM Transactions on Cyber-Physical Systems
Advanced Neural Network ApplicationsTopic Modeling
Cited by 42
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Assessment of Radiomics and Deep Learning for the Segmentation of Fetal and Maternal Anatomy in Magnetic Resonance Imaging and Ultrasound
Torrents-Barrena, J., Monill, N., Piella, G., Gratacós, E., Eixarch, E., Ceresa, M., & González Ballester, M. A. (2021) · Academic Radiology
Medical Image Segmentation TechniquesRadiomics and Machine Learning in Medical Imaging
Cited by 42
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Blockchain in Internet-of-Things: Architecture, Applications and Research Directions
Ahmad, F., Ahmad, Z., Kerrache, C. A., Kurugollu, F., Adnane, A., & Barka, E. (2019) · 2019 International Conference on Computer and Information Sciences (ICCIS)
Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing
Cited by 42
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Burn scar detection using cloudy MODIS images via low-rank and sparsity-based models
Dao, M., Kwan, C., Ayhan, B., & Tran, T. D. (2016) · 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Remote-Sensing Image ClassificationFire Detection and Safety Systems
Cited by 42
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Stochastic Image Denoising by Sampling from the Posterior Distribution
Kawar, B., Vaksman, G., & Elad, M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Image and Signal Denoising MethodsImage Enhancement Techniques
Cited by 42
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LLM-PBE: Assessing Data Privacy in Large Language Models
Li, Q., Hong, J., Xie, C., Tan, J., Xin, R., Hou, J., Yin, X., Wang, Z., Hendrycks, D., Wang, Z., et al. (2024) · Proceedings of the VLDB Endowment
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 42
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CM3: A Causal Masked Multimodal Model of the Internet
Aghajanyan, A., Huang, B., Ross, C., Karpukhin, V., Xu, H., Goyal, N., Okhonko, D., Joshi, M., Ghosh, G., Lewis, M., et al. (2022) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 42
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Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers
Tkaczyk, D., Collins, A., Sheridan, P., & Beel, J. (2018) · Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries
Library Science and Information Systemsscientometrics and bibliometrics research
Cited by 42
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Efficient long-text understanding with short-text models
Ivgi, M., Shaham, U., & Berant, J. (2023) · Transactions of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 42
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Mixed-Initiative Real-Time Topic Modeling & Visualization for Crisis Counseling
Dinakar, K., Chen, J., Lieberman, H., Picard, R., & Filbin, R. (2015) · Proceedings of the 20th International Conference on Intelligent User Interfaces
Data Visualization and AnalyticsComputational and Text Analysis Methods
Cited by 42
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Multi-clue fusion for emotion recognition in the wild
Yan, J., Zheng, W., Cui, Z., Tang, C., Zhang, T., Zong, Y., & Sun, N. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction
Emotion and Mood RecognitionFace recognition and analysis
Cited by 42
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Weak and strong convergence analysis of Elman neural networks via weight decay regularization
Zhou, L., Fan, Q., Huang, X., & Liu, Y. (2023) · Optimization
Neural Networks and ApplicationsStochastic Gradient Optimization Techniques
Cited by 42
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Bias Amplification in Artificial Intelligence Systems
Lloyd, K. (2018) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence in Law
Cited by 42
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