Most cited computer science papers
- Verified
Simple approach to approximate quantum error correction based on the transpose channel
Ng, H. K., & Mandayam, P. (2010) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 87
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Removal as a Method: A Fourth Wave HCI Approach to Understanding the Experience of Self-Tracking
Homewood, S., Karlsson, A., & Vallgårda, A. (2020) · Proceedings of the 2020 ACM Designing Interactive Systems Conference
Innovative Human-Technology InteractionPosthumanist Ethics and Activism
Cited by 87
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Envedit: Environment Editing for Vision-and-Language Navigation
Li, J., Tan, H., & Bansal, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics
Cited by 87
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The Usability Construct: A Dead End?
Tractinsky, N. (2018) · Human–Computer Interaction
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 87
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Tools to Support Systematic Literature Reviews in Software Engineering: A Mapping Study
Marshall, C., & Brereton, P. (2013) · 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement
Software Engineering Techniques and PracticesMeta-analysis and systematic reviews
Cited by 87
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Global registration of dynamic range scans for articulated model reconstruction
Chang, W., & Zwicker, M. (2011) · ACM Transactions on Graphics
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 87
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Open (For Business): Big Tech, Concentrated Power, and the Political Economy of Open AI
Widder, D. G., West, S., & Whittaker, M. (2023) · SSRN Electronic Journal
Ethics and Social Impacts of AIOpen Source Software Innovations
Cited by 87
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Learning with digital technology-facilitated empathy: an augmented reality approach to enhancing students’ flow experience, motivation, and achievement in a biology program
Wang, X.-M., Hu, Q.-N., Hwang, G.-J., & Yu, X.-H. (2023) · Interactive Learning Environments
Augmented Reality ApplicationsVirtual Reality Applications and Impacts
Cited by 87
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Conceptual challenges for interpretable machine learning
Watson, D. S. (2022) · Synthese
Explainable Artificial Intelligence (XAI)Philosophy of Biology and Scientific Explanation
Cited by 87
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A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering
Tanwani, A. K., Mor, N., Kubiatowicz, J., Gonzalez, J. E., & Goldberg, K. (2019) · 2019 International Conference on Robotics and Automation (ICRA)
IoT and Edge/Fog ComputingRobotics and Automated Systems
Cited by 87
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Implementing Anti-discrimination Policies in Statistical Profiling Models
Pope, D. G., & Sydnor, J. R. (2011) · American Economic Journal: Economic Policy
Ethics and Social Impacts of AIDiscrimination and Equality Law
Cited by 87
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Regimes of Classical Simulability for Noisy Gaussian Boson Sampling
Qi, H., Brod, D. J., Quesada, N., & García-Patrón, R. (2020) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 87
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Quantum Approach to Classical Statistical Mechanics
Somma, R. D., Batista, C. D., & Ortiz, G. (2007) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 87
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Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment
Barabas, C., Dinakar, K., Ito, J., Virza, M., & Zittrain, J. (2017) · arXiv
Ethics and Social Impacts of AICriminal Justice and Corrections Analysis
Cited by 87
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Essential properties and explanation effectiveness of explainable artificial intelligence in healthcare: A systematic review
Jung, J., Lee, H., Jung, H., & Kim, H. (2023) · Heliyon
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 87
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A quantum algorithm to train neural networks using low-depth circuits
Verdon, G., Broughton, M., & Biamonte, J. (2017) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 87
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Technical debt: towards a crisper definition report on the 4th international workshop on managing technical debt
Kruchten, P., Nord, R. L., Ozkaya, I., & Falessi, D. (2013) · ACM SIGSOFT Software Engineering Notes
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 87
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Investigating and Designing for Trust in AI-powered Code Generation Tools
Wang, R., Cheng, R., Ford, D., & Zimmermann, T. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 87
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Security Analysis and Improvements of Two-Factor Mutual Authentication with Key Agreement in Wireless Sensor Networks
Kim, J., Lee, D., Jeon, W., Lee, Y., & Won, D. (2014) · Sensors
Advanced Authentication Protocols SecuritySecurity in Wireless Sensor Networks
Cited by 87
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Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
Su, J., Jiang, C., Jin, X., Qiao, Y., Xiao, T., Ma, H., Wei, R., Jing, Z., Xu, J., & Lin, J. (2024) · arXiv
Anomaly Detection Techniques and ApplicationsTopic Modeling
Cited by 87
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A standardisation framework for bio‐logging data to advance ecological research and conservation
Sequeira, A. M. M., O'Toole, M., Keates, T. R., McDonnell, L. H., Braun, C. D., Hoenner, X., Jaine, F. R. A., Jonsen, I. D., Newman, P., Pye, J., et al. (2021) · Methods in Ecology and Evolution
Research Data Management PracticesEnvironmental Monitoring and Data Management
Cited by 87
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Explainable AI and Multi-Modal Causability in Medicine
Holzinger, A. (2021) · i-com
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 87
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Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Cao, M., Dong, Y., & Cheung, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingAdvanced Text Analysis Techniques
Cited by 87
- Verified
Machine learning for real-time aggregated prediction of hospital admission for emergency patients
King, Z., Farrington, J., Utley, M., Kung, E., Elkhodair, S., Harris, S., Sekula, R., Gillham, J., Li, K., & Crowe, S. (2022) · npj Digital Medicine
Machine Learning in HealthcareHealthcare Operations and Scheduling Optimization
Cited by 87
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