Most cited computer science papers
- Verified
Interactive Storytelling: A Player Modelling Approach
Thue, D., Bulitko, V., Spetch, M., & Wasylishen, E. (2007) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
Artificial Intelligence in GamesIntelligent Tutoring Systems and Adaptive Learning
Cited by 205
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Detection and Measurement of Fetal Anatomies from Ultrasound Images using a Constrained Probabilistic Boosting Tree
Carneiro, G., Georgescu, B., Good, S., & Comaniciu, D. (2008) · IEEE Transactions on Medical Imaging
Medical Image Segmentation TechniquesMedical Imaging and Analysis
Cited by 205
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DetNAS: Backbone Search for Object Detection
Chen, Y., Yang, T., Zhang, X., Meng, G., Xiao, X., & Sun, J. (2019) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 205
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Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Zeng, A., Attarian, M., Ichter, B., Choromanski, K., Wong, A., Welker, S., Tombari, F., Purohit, A., Ryoo, M., Sindhwani, V., et al. (2022) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 205
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Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
Chen, T., Liu, S., Chang, S., Cheng, Y., Amini, L., & Wang, Z. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Adversarial Robustness in Machine LearningMachine Learning and Data Classification
Cited by 205
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A Reconfigurable Streaming Deep Convolutional Neural Network Accelerator for Internet of Things
Du, L., Du, Y., Li, Y., Su, J., Kuan, Y.-C., Liu, C.-C., & Chang, M.-C. F. (2018) · IEEE Transactions on Circuits and Systems I: Regular Papers
Advanced Neural Network ApplicationsEmbedded Systems Design Techniques
Cited by 205
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MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients
Cao, X., & Gong, N. Z. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 205
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Text Recognition in the Wild: A Survey
Chen, X., Jin, L., Zhu, Y., Luo, C., & Wang, T. (2022) · ACM Computing Surveys
Handwritten Text Recognition TechniquesVehicle License Plate Recognition
Cited by 205
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Advantages and constraints of a hybrid model K–12 e-learning assistant chatbot
Wu, E. H.-K., Lin, C.-H., Ou, Y.-Y., Liu, C.-Z., Wang, W.-K., & Chao, C.-Y. (2020) · IEEE Access
Intelligent Tutoring Systems and Adaptive LearningAI in Service Interactions
Cited by 205
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The cognitive benefits of learning computer programming: A meta-analysis of transfer effects.
Scherer, R., Siddiq, F., & Sánchez Viveros, B. (2019) · Journal of Educational Psychology
Teaching and Learning ProgrammingCreativity in Education and Neuroscience
Cited by 205
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Best practices for the human evaluation of automatically generated text
van der Lee, C., Gatt, A., van Miltenburg, E., Wubben, S., & Krahmer, E. (2019) · Proceedings of the 12th International Conference on Natural Language Generation
Natural Language Processing TechniquesSpeech and dialogue systems
Cited by 205
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Data Poisoning Attacks against Autoregressive Models
Alfeld, S., Zhu, X., & Barford, P. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 205
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BaFFLe: Backdoor Detection via Feedback-based Federated Learning
Andreina, S., Marson, G. A., Mollering, H., & Karame, G. (2021) · 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 205
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Responsible AI for Digital Health: a Synthesis and a Research Agenda
Trocin, C., Mikalef, P., Papamitsiou, Z., & Conboy, K. (2023) · Information Systems Frontiers
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 205
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Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI
Laukamp, K. R., Thiele, F., Shakirin, G., Zopfs, D., Faymonville, A., Timmer, M., Maintz, D., Perkuhn, M., & Borggrefe, J. (2019) · European Radiology
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 205
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Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data
Reps, J. M., Schuemie, M. J., Suchard, M. A., Ryan, P. B., & Rijnbeek, P. R. (2018) · Journal of the American Medical Informatics Association
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 205
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A Blockchain-Based Auditable Access Control System for Private Data in Service-Centric IoT Environments
Han, D., Zhu, Y., Li, D., Liang, W., Souri, A., & Li, K.-C. (2022) · IEEE Transactions on Industrial Informatics
Blockchain Technology Applications and SecurityAccess Control and Trust
Cited by 205
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Emotion in reinforcement learning agents and robots: a survey
Moerland, T. M., Broekens, J., & Jonker, C. M. (2018) · Machine Learning
Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience
Cited by 205
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Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Xiong, L., Xiong, C., Li, Y., Tang, K.-F., Liu, J., Bennett, P., Ahmed, J., & Overwijk, A. (2020) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 204
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A Review on Explainability in Multimodal Deep Neural Nets
Joshi, G., Walambe, R., & Kotecha, K. (2021) · IEEE Access
Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications
Cited by 204
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Analyzing the expressive range of a level generator
Smith, G., & Whitehead, J. (2010) · Proceedings of the 2010 Workshop on Procedural Content Generation in Games
Artificial Intelligence in GamesComputer Graphics and Visualization Techniques
Cited by 204
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Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Rabanser, S., Günnemann, S., & Lipton, Z. C. (2018) · arXiv
Domain Adaptation and Few-Shot LearningData Stream Mining Techniques
Cited by 204
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Visually Induced Motion Sickness Predicted by Postural Instability
Smart, L. J., Stoffregen, T. A., & Bardy, B. G. (2002) · Human Factors: The Journal of the Human Factors and Ergonomics Society
Virtual Reality Applications and ImpactsVestibular and auditory disorders
Cited by 204
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Large Language Model in Creative Work: The Role of Collaboration Modality and User Expertise
Chen, Z., & Chan, J. (2024) · Management Science
Artificial Intelligence ApplicationsHuman-Automation Interaction and Safety
Cited by 204
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