Most cited computer science papers
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Do windows users follow the principle of least privilege?: investigating user account control practices
Motiee, S., Hawkey, K., & Beznosov, K. (2010) · Proceedings of the Sixth Symposium on Usable Privacy and Security
User Authentication and Security SystemsInformation and Cyber Security
Cited by 71
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Deepfake forensics: a survey of digital forensic methods for multimodal deepfake identification on social media
Qureshi, S. M., Saeed, A., Almotiri, S. H., Ahmad, F., & Al Ghamdi, M. A. (2024) · PeerJ Computer Science
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 71
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AI system engineering key challenges and lessons learned
Fischer, L., Ehrlinger, L., Geist, V., Ramler, R., Sobiezky, F., Zellinger, W., Brunner, D., Kumar, M., & Moser, B. (2020) · Machine Learning and Knowledge Extraction
Software Engineering Techniques and PracticesArtificial Intelligence Applications
Cited by 71
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Fast Inference from Transformers via Speculative Decoding
Leviathan, Y., Kalman, M., & Matias, Y. (2022) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 71
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Characterizing the loss landscape of variational quantum circuits
Huembeli, P., & Dauphin, A. (2021) · Quantum Science and Technology
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 71
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Counterexample Guided Inductive Synthesis Modulo Theories
Abate, A., David, C., Kesseli, P., Kroening, D., & Polgreen, E. (2018) · Lecture Notes in Computer Science
Logic, programming, and type systemsFormal Methods in Verification
Cited by 71
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Privacy and surveillance attitudes during health crises: Acceptance of surveillance and privacy protection behaviours
Ioannou, A., & Tussyadiah, I. (2021) · Technology in Society
COVID-19 Digital Contact TracingPrivacy, Security, and Data Protection
Cited by 71
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Trustworthy AI Development Guidelines for Human System Interaction
Wickramasinghe, C. S., Marino, D. L., Grandio, J., & Manic, M. (2020) · 2020 13th International Conference on Human System Interaction (HSI)
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 71
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Collective intelligence for deep learning: A survey of recent developments
Ha, D., & Tang, Y. (2022) · Collective Intelligence
Neural Networks and ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 71
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Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare
Shaban-Nejad, A., Michalowski, M., Brownstein, J., & Buckeridge, D. (2021) · IEEE Journal of Biomedical and Health Informatics
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 71
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A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data.
Al-Helali, B., Chen, Q., Xue, B., & Zhang, M. (2021) · Soft Computing
Evolutionary Algorithms and ApplicationsMachine Learning and Data Classification
Cited by 71
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RT-H: Action Hierarchies Using Language
Belkhale, S., Ding, T., Xiao, T., Sermanet, P., Vuong, Q., Tompson, J., Chebotar, Y., Dwibedi, D., & Sadigh, D. (2024) · arXiv
AI-based Problem Solving and PlanningNatural Language Processing Techniques
Cited by 71
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Measuring Attribution in Natural Language Generation Models
Rashkin, H., Nikolaev, V., Lamm, M., Aroyo, L., Collins, M., Das, D., Petrov, S., Tomar, G. S., Turc, I., & Reitter, D. (2023) · Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 71
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An Educational System for Learning Search Algorithms and Automatically Assessing Student Performance
Grivokostopoulou, F., Perikos, I., & Hatzilygeroudis, I. (2017) · International Journal of Artificial Intelligence in Education
Intelligent Tutoring Systems and Adaptive LearningEducational Technology and Assessment
Cited by 71
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A Comparative Evaluation Of Temporal Pooling Methods For Blind Video Quality Assessment
Tu, Z., Chen, C.-J., Chen, L.-H., Birkbeck, N., Adsumilli, B., & Bovik, A. C. (2020) · 2020 IEEE International Conference on Image Processing (ICIP)
Image and Video Quality AssessmentImage Retrieval and Classification Techniques
Cited by 71
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Sentiment analysis model to emphasize the impact of online reviews in healthcare industry
Abirami, A. M., & Askarunisa, A. (2017) · Online Information Review
Sentiment Analysis and Opinion MiningDigital Marketing and Social Media
Cited by 71
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On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations
Bertrand, A., Viard, T., Belloum, R., Eagan, J. R., & Maxwell, W. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Usability and User Interface Design
Cited by 71
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Cyberbullying Detection in Social Networks Using Deep Learning Based Models; A Reproducibility Study
Dadvar, M., & Eckert, K. (2018) · arXiv
Hate Speech and Cyberbullying DetectionSpam and Phishing Detection
Cited by 71
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Amazon Search: The Joy of Ranking Products
Sorokina, D., & Cantu-Paz, E. (2016) · Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
Information Retrieval and Search BehaviorRecommender Systems and Techniques
Cited by 71
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Experiences of gamified and automated virtual reality exposure therapy for spider phobia: qualitative study
Lindner, P., Rozental, A., Jurell, A., Reuterskiöld, L., Andersson, G., Hamilton, W., Miloff, A., & Carlbring, P. (2020) · JMIR Serious Games
Virtual Reality Applications and ImpactsDigital Mental Health Interventions
Cited by 71
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Best Prompts for Text-to-Image Models and How to Find Them
Pavlichenko, N., & Ustalov, D. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
Generative Adversarial Networks and Image SynthesisDigital Media and Visual Art
Cited by 71
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NP-hardness of decoding quantum error-correction codes
Hsieh, M.-H., & Le Gall, F. (2011) · Physical Review A
Quantum Computing Algorithms and ArchitectureCoding theory and cryptography
Cited by 71
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Depth-Adaptive Deep Neural Network for Semantic Segmentation
Kang, B., Lee, Y., & Nguyen, T. Q. (2018) · IEEE Transactions on Multimedia
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 71
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Hierarchical Recurrent Attention Networks for Structured Online Maps
Homayounfar, N., Ma, W.-C., Lakshmikanth, S. K., & Urtasun, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Automated Road and Building ExtractionAutonomous Vehicle Technology and Safety
Cited by 71
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