Most cited computer science papers
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Learning Music Sequence Representation From Text Supervision
Chen, T., Xie, Y., Zhang, S., Huang, S., Zhou, H., & Li, J. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Music and Audio ProcessingMusic Technology and Sound Studies
Cited by 8
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Horus: Non-Intrusive Causal Analysis of Distributed Systems Logs
Neves, F., Machado, N., Vilaca, R., & Pereira, J. (2021) · 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
Software System Performance and ReliabilityAdvanced Database Systems and Queries
Cited by 8
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Application of Multi-Classification Support Vector Machine in the B-Placenta Image Classification
Liu, Z., Zheng, H., & Lin, S. (2009) · 2009 International Conference on Computational Intelligence and Software Engineering
Image Retrieval and Classification TechniquesMedical Image Segmentation Techniques
Cited by 8
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10 Open, But How Much? Growth,Conflict, and Institutional Evolution in Open‐Source Communities1
Mateos-Garcia, J., & Steinmueller, W. E. (2008) · Community, Economic Creativity, and Organization
Open Source Software InnovationsWikis in Education and Collaboration
Cited by 8
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Between the booms: AI in Winter
Haigh, T. (2024) · Communications of the ACM
Artificial Intelligence ApplicationsEthics and Social Impacts of AI
Cited by 8
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Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
Ren, L., Liu, Y., Lu, Y., Shen, Y., Liang, C., & Chen, W. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
- Verified · note
Expert evaluation methods
Klas, C.-P. (2018) · User Studies for Digital Library Development
Usability and User Interface DesignLibrary Science and Information
Cited by 8
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The 2024 Foundation Model Transparency Index
Bommasani, R., Klyman, K., Kapoor, S., Longpre, S., Xiong, B., Maslej, N., & Liang, P. (2024) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 8
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E-Assessment Data Compatibility Resolution Methodology with Bidirectional Data Transformation
Malik, K. R., & Ahmad, T. (2017) · EURASIA Journal of Mathematics, Science and Technology Education
Semantic Web and OntologiesEducational Technology and Assessment
Cited by 8
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Impact of E-Learning Orientation, Moodle Usage, and Learning Planning on Learning Outcomes in On-Demand Lectures
Aida, S. (2023) · Education Sciences
Educational Technology and E-LearningOnline and Blended Learning
Cited by 8
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Satellite On-Board Change Detection via Auto-Associative Neural Networks
Guerrisi, G., Del Frate, F., & Schiavon, G. (2022) · Remote Sensing
Remote-Sensing Image ClassificationSatellite Image Processing and Photogrammetry
Cited by 8
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Interplay of Digital Twins and Cyber Deception: Unraveling Paths for Technological Advancements
Heluany, J., Amro, A., Gkioulos, V., & Katsikas, S. (2024) · Proceedings of the 2024 ACM/IEEE 4th International Workshop on Engineering and Cybersecurity of Critical Systems (EnCyCriS) and 2024 IEEE/ACM Second International Workshop on Software Vulnerability
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 8
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Machine Learning Based Analysis of Structural MRI for Epilepsy Diagnosis
Sahebzamani, G., Saffar, M., & Soltanian-Zadeh, H. (2019) · 2019 4th International Conference on Pattern Recognition and Image Analysis (IPRIA)
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 8
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The Fault in Our Stars: An Analysis of GitHub Stars as an Importance Metric for Web Source Code
Koch, S., Klein, D., & Johns, M. (2024) · Proceedings 2024 Workshop on Measurements, Attacks, and Defenses for the Web
Software Engineering ResearchWeb Application Security Vulnerabilities
Cited by 8
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MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
Lancaster, P., Hansen, N., Rajeswaran, A., & Kumar, V. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 8
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A user-centered approach to design a mobile application for chronic pain management
Liu, Y., Encelle, B., & Sehaba, K. (2020) · Modelling, Measurement and Control C
Usability and User Interface DesignPersona Design and Applications
Cited by 8
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Study on the Helpfulness of Explainable Artificial Intelligence
Labarta, T., Kulicheva, E., Froelian, R., Geißler, C., Melman, X., & von Klitzing, J. (2024) · Communications in Computer and Information Science
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 8
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Layer-Condensed KV Cache for Efficient Inference of Large Language Models
Wu, H., & Tu, K. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
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An Attack Vector for Deception Through Persuasion Used by Hackers and Crakers
Hasan, M. I., & Prajapati, N. B. (2009) · 2009 First International Conference on Networks & Communications
Information and Cyber SecuritySpam and Phishing Detection
Cited by 8
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Time-dependent Decentralized Routing using Federated Learning
Wilbur, M., Samal, C., Talusan, J. P., Yasumoto, K., & Dubey, A. (2020) · 2020 IEEE 23rd International Symposium on Real-Time Distributed Computing (ISORC)
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 8
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Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging
Jiang, Z., Parida, A., Anwar, S. M., Tang, Y., Roth, H. R., Fisher, M. J., Packer, R. J., Avery, R. A., & Linguraru, M. G. (2023) · 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Brain Tumor Detection and ClassificationRadiomics and Machine Learning in Medical Imaging
Cited by 8
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Industry applications of neutral-atom quantum computing solving independent set problems
Wurtz, J., Lopes, P. L. S., Gorgulla, C., Gemelke, N., Keesling, A., & Wang, S. (2022) · arXiv
Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates
Cited by 8
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Computational modeling of collaborative discourse to enable feedback and reflection in middle school classrooms
Chandler, C., Breideband, T., Reitman, J. G., Chitwood, M., Bush, J. B., Howard, A., Leonhart, S., Foltz, P. W., Penuel, W. R., & D'Mello, S. K. (2024) · Proceedings of the 14th Learning Analytics and Knowledge Conference
Online Learning and AnalyticsInnovative Teaching and Learning Methods
Cited by 8
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A Survey of Post-Training Scaling in Large Language Models
Lai, H., Liu, X., Gao, J., Cheng, J., Qi, Z., Xu, Y., Yao, S., Zhang, D., Du, J., Hou, Z., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 8
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