Most cited computer science papers
- Verified
Integrating uncertainty in deep neural networks for MRI based stroke analysis
Herzog, L., Murina, E., Dürr, O., Wegener, S., & Sick, B. (2020) · Medical Image Analysis
Medical Image Segmentation TechniquesAcute Ischemic Stroke Management
Cited by 66
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A Comprehensive Review on Secure Biometric-Based Continuous Authentication and User Profiling
Ayeswarya, S., & Singh, K. J. (2024) · IEEE Access
User Authentication and Security SystemsBiometric Identification and Security
Cited by 66
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Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy
Salamatian, S., Zhang, A., du Pin Calmon, F., Bhamidipati, S., Fawaz, N., Kveton, B., Oliveira, P., & Taft, N. (2015) · IEEE Journal of Selected Topics in Signal Processing
Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection
Cited by 66
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Fake Speech Detection Using Residual Network with Transformer Encoder
Zhang, Z., Yi, X., & Zhao, X. (2021) · Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 66
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Aligning IT components to achieve agility in globally distributed system development
Lee, O.-K. (., Banerjee, P., Lim, K. H., Kumar, K., Hillegersberg, J. V., & Wei, K. K. (2006) · Communications of the ACM
Software Engineering Techniques and PracticesInformation Technology Governance and Strategy
Cited by 66
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Gamified, Automated Virtual Reality Exposure Therapy for Fear of Spiders: A Single-Subject Trial Under Simulated Real-World Conditions
Lindner, P., Miloff, A., Bergman, C., Andersson, G., Hamilton, W., & Carlbring, P. (2020) · Frontiers in Psychiatry
Virtual Reality Applications and ImpactsDigital Mental Health Interventions
Cited by 66
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Rules, roles and tools: Activity theory and the comparative study of e‐learning
Benson, A., Lawler, C., & Whitworth, A. (2008) · British Journal of Educational Technology
Educational Technology and E-LearningInnovative Education and Learning Practices
Cited by 66
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A survey on differential privacy for medical data analysis
Liu, W., Zhang, Y., Yang, H., & Meng, Q. (2024) · Annals of Data Science
Privacy-Preserving Technologies in DataCloud Data Security Solutions
Cited by 66
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Beyond Ranking: Optimizing Whole-Page Presentation
Wang, Y., Yin, D., Jie, L., Wang, P., Yamada, M., Chang, Y., & Mei, Q. (2016) · Proceedings of the Ninth ACM International Conference on Web Search and Data Mining
Information Retrieval and Search BehaviorRecommender Systems and Techniques
Cited by 66
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An Autocorrelation-based LSTM-Autoencoder for Anomaly Detection on Time-Series Data
Homayouni, H., Ghosh, S., Ray, I., Gondalia, S., Duggan, J., & Kahn, M. G. (2020) · 2020 IEEE International Conference on Big Data (Big Data)
Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability
Cited by 66
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Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data
Osawa, I., Goto, T., Yamamoto, Y., & Tsugawa, Y. (2020) · npj Digital Medicine
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 66
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Fractional Delay Filter Design Based on Truncated Lagrange Interpolation
Valimaki, V., & Haghparast, A. (2007) · IEEE Signal Processing Letters
Digital Filter Design and ImplementationAdvanced Adaptive Filtering Techniques
Cited by 66
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Reducing working memory load in spoken dialogue systems
Wolters, M., Georgila, K., Moore, J. D., Logie, R. H., MacPherson, S. E., & Watson, M. (2009) · Interacting with Computers
Speech and dialogue systemsUsability and User Interface Design
Cited by 66
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Quantum computing for chemical and biomolecular product design
Andersson, M. P., Jones, M. N., Mikkelsen, K. V., You, F., & Mansouri, S. S. (2022) · Current Opinion in Chemical Engineering
Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies
Cited by 66
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Deep Variational Quantum Eigensolver: a divide-and-conquer method for solving a larger problem with smaller size quantum computers
Fujii, K., Mizuta, K., Ueda, H., Mitarai, K., Mizukami, W., & Nakagawa, Y. O. (2020) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 66
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GERE: Generative Evidence Retrieval for Fact Verification
Chen, J., Zhang, R., Guo, J., Fan, Y., & Cheng, X. (2022) · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Topic ModelingInformation Retrieval and Search Behavior
Cited by 66
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Demonstration of Fault-Tolerant Steane Quantum Error Correction
Postler, L., Butt, F., Pogorelov, I., Marciniak, C. D., Heußen, S., Blatt, R., Schindler, P., Rispler, M., Müller, M., & Monz, T. (2024) · PRX Quantum
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 66
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Using Eye Trackers for Usability Evaluation of Health Information Technology: A Systematic Literature Review
Asan, O., & Yang, Y. (2015) · JMIR Human Factors
Gaze Tracking and Assistive TechnologyUsability and User Interface Design
Cited by 66
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Knowledge Learning With Crowdsourcing: A Brief Review and Systematic Perspective
Zhang, J. (2022) · IEEE/CAA Journal of Automatica Sinica
Mobile Crowdsensing and CrowdsourcingMachine Learning and Algorithms
Cited by 66
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Generating sequential electronic health records using dual adversarial autoencoder
Lee, D., Yu, H., Jiang, X., Rogith, D., Gudala, M., Tejani, M., Zhang, Q., & Xiong, L. (2020) · Journal of the American Medical Informatics Association
Machine Learning in HealthcarePrivacy-Preserving Technologies in Data
Cited by 66
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Towards accessible touch interfaces
Guerreiro, T., Nicolau, H., Jorge, J., & Gonçalves, D. (2010) · Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
Interactive and Immersive DisplaysTactile and Sensory Interactions
Cited by 66
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AcinoSet: A 3D Pose Estimation Dataset and Baseline Models for Cheetahs in the Wild
Joska, D., Clark, L., Muramatsu, N., Jericevich, R., Nicolls, F., Mathis, A., Mathis, M. W., & Patel, A. (2021) · 2021 IEEE International Conference on Robotics and Automation (ICRA)
Human Pose and Action RecognitionAdvanced Vision and Imaging
Cited by 66
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Tailoring Persuasive and Behaviour Change Systems Based on Stages of Change and Motivation
Oyebode, O., Ndulue, C., Mulchandani, D., A. Zamil Adib, A., Alhasani, M., & Orji, R. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionBehavioral Health and Interventions
Cited by 66
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RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Jain, S., Agrawal, A., Saporta, A., Truong, S. Q., Duong, D. N., Bui, T., Chambon, P., Zhang, Y., Lungren, M. P., Ng, A. Y., et al. (2021) · arXiv
Topic ModelingBiomedical Text Mining and Ontologies
Cited by 66
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