Most cited computer science papers
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Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty
Gao, C., Farvardin, A., Grupp, R. B., Bakhtiarinejad, M., Ma, L., Thies, M., Unberath, M., Taylor, R. H., & Armand, M. (2020) · IEEE Transactions on Medical Robotics and Bionics
Medical Image Segmentation TechniquesSpinal Fractures and Fixation Techniques
Cited by 36
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Homomorphic encryption in mobile multi cloud computing
Louk, M., & Lim, H. (2015) · 2015 International Conference on Information Networking (ICOIN)
Cloud Data Security SolutionsCryptography and Data Security
Cited by 36
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MusCaps: Generating Captions for Music Audio
Manco, I., Benetos, E., Quinton, E., & Fazekas, G. (2021) · 2021 International Joint Conference on Neural Networks (IJCNN)
Music and Audio ProcessingMusic Technology and Sound Studies
Cited by 36
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Variational circuit compiler for quantum error correction
Xu, X., Benjamin, S. C., & Yuan, X. (2019) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 36
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Infusing NLU into Automatic Question Generation
Mazidi, K., & Tarau, P. (2016) · Proceedings of the 9th International Natural Language Generation conference
Natural Language Processing TechniquesTopic Modeling
Cited by 36
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Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition
Liao, T., Zhao, J., Liu, Y., Ivanov, K., Xiong, J., & Yan, Y. (2022) · 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Context-Aware Activity Recognition SystemsGait Recognition and Analysis
Cited by 36
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MindLink-Eumpy: An Open-Source Python Toolbox for Multimodal Emotion Recognition
Li, R., Liang, Y., Liu, X., Wang, B., Huang, W., Cai, Z., Ye, Y., Qiu, L., & Pan, J. (2021) · Frontiers in Human Neuroscience
Emotion and Mood RecognitionEEG and Brain-Computer Interfaces
Cited by 36
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Assessing the Utility of the System Usability Scale for Evaluating Voice-based User Interfaces
Ghosh, D., Foong, P. S., Zhang, S., & Zhao, S. (2018) · Proceedings of the Sixth International Symposium of Chinese CHI
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 36
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Use of text syntactical structures in detection of document duplicates
Elhadi, M., & Al-Tobi, A. (2008) · 2008 Third International Conference on Digital Information Management
Data Quality and ManagementNatural Language Processing Techniques
Cited by 36
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An Interactive Personalized Recommendation System Using the Hybrid Algorithm Model
Guo, Y., Wang, M., & Li, X. (2017) · Symmetry
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 36
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Seeing the Bigger Picture? Ramping up Production with the Use of Augmented Reality
Wuttke, D., Upadhyay, A., Siemsen, E., & Wuttke-Linnemann, A. (2022) · Manufacturing & Service Operations Management
Augmented Reality ApplicationsDigital Transformation in Industry
Cited by 36
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Using developer interaction data to compare expertise metrics
Robbes, R., & Rothlisberger, D. (2013) · 2013 10th Working Conference on Mining Software Repositories (MSR)
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 36
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Can gamification and interface design aesthetics lead to MOOCs' success?
Cheng, Y.-M. (2021) · Education + Training
Online Learning and AnalyticsEducational Games and Gamification
Cited by 36
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Enhancement of QR Code Capacity by Encrypted Lossless Compression Technology for Verification of Secure E-Document
Mohammed Ali, A., & Farhan, A. K. (2020) · IEEE Access
QR Code Applications and TechnologiesAdvanced Steganography and Watermarking Techniques
Cited by 36
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AI to Support Guided Experiential Learning
Goldberg, B., & Robson, R. (2023) · Communications in Computer and Information Science
Intelligent Tutoring Systems and Adaptive LearningAugmented Reality Applications
Cited by 36
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The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"
Berglund, L., Tong, M., Kaufmann, M., Balesni, M., Stickland, A. C., Korbak, T., & Evans, O. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 36
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Information Quality Assessment for Data Fusion Systems
Becerra, M. A., Tobón, C., Castro-Ospina, A. E., & Peluffo-Ordóñez, D. H. (2021) · Data
Data Quality and ManagementTarget Tracking and Data Fusion in Sensor Networks
Cited by 36
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Exploring Collaboration Patterns and Strategies in Human-AI Co-creation through the Lens of Agency: A Scoping Review of the Top-tier HCI Literature
Zhang, S., Wang, H., & Yi, X. (2025) · Proceedings of the ACM on Human-Computer Interaction
Innovative Human-Technology InteractionInformation Systems Theories and Implementation
Cited by 36
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VRGit: A Version Control System for Collaborative Content Creation in Virtual Reality
Zhang, L., Agrawal, A., Oney, S., & Guo, A. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Data Visualization and AnalyticsComputer Graphics and Visualization Techniques
Cited by 36
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The Emerging Social Status of Generative AI: Vocabularies of AI Competence in Public Discourse
Bran, E., Rughiniş, C., Nadoleanu, G., & Flaherty, M. G. (2023) · 2023 24th International Conference on Control Systems and Computer Science (CSCS)
Ethics and Social Impacts of AICybernetics and Technology in Society
Cited by 36
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Adversarial Autoencoder for Unsupervised Time Series Anomaly Detection and Interpretation
Chen, X., Deng, L., Zhao, Y., & Zheng, K. (2023) · Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting
Cited by 36
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Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
Dai, X., Hou, J., Ma, C.-Y., Tsai, S., Wang, J., Wang, R., Zhang, P., Vandenhende, S., Wang, X., Dubey, A., et al. (2023) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 36
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The Effect of Personalization Techniques in Users' Perceptions of Conversational Recommender Systems
Laban, G., & Araujo, T. (2020) · Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents
Recommender Systems and TechniquesAI in Service Interactions
Cited by 36
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Learning offline: memory replay in biological and artificial reinforcement learning
Roscow, E. L., Chua, R., Costa, R. P., Jones, M. W., & Lepora, N. (2021) · Trends in Neurosciences
Reinforcement Learning in RoboticsMemory and Neural Mechanisms
Cited by 36
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