Most cited computer science papers
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Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
Perdomo-Ortiz, A., Benedetti, M., Realpe-Gómez, J., & Biswas, R. (2018) · Quantum Science and Technology
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 274
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Predictably unequal: understanding and addressing concerns that algorithmic clinical prediction may increase health disparities
Paulus, J. K., & Kent, D. M. (2020) · npj Digital Medicine
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 274
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Illuminating the dark spaces of healthcare with ambient intelligence
Haque, A., Milstein, A., & Fei-Fei, L. (2020) · Nature
Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring
Cited by 274
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Algorithmic recourse: From counterfactual explanations to interventions
Karimi, A.-H., Schölkopf, B., & Valera, I. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 274
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Levels of AGI for Operationalizing Progress on the Path to AGI
Morris, M. R., Sohl-Dickstein, J., Fiedel, N., Warkentin, T., Dafoe, A., Faust, A., Farabet, C., & Legg, S. (2023) · arXiv
Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications
Cited by 274
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Fast Algorithms for Signal Processing
Blahut, R. E. (2010) · Cambridge University Press eBooks
Digital Filter Design and ImplementationMathematical Analysis and Transform Methods
Cited by 274
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Deep convolutional neural networks for mammography: advances, challenges and applications
Abdelhafiz, D., Yang, C., Ammar, R., & Nabavi, S. (2019) · BMC Bioinformatics
AI in cancer detectionDigital Radiography and Breast Imaging
Cited by 274
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The Hidden Cost of Personal Quantification
Etkin, J. (2016) · Journal of Consumer Research
Innovative Human-Technology InteractionDecision-Making and Behavioral Economics
Cited by 274
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Git Re-Basin: Merging Models modulo Permutation Symmetries
Ainsworth, S. K., Hayase, J., & Srinivasa, S. (2022) · arXiv
Stochastic Gradient Optimization TechniquesNeural Networks and Applications
Cited by 274
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End-to-End Representation Learning for Correlation Filter Based Tracking
Valmadre, J., Bertinetto, L., Henriques, J., Vedaldi, A., & Torr, P. H. S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 274
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Using fast weights to improve persistent contrastive divergence
Tieleman, T., & Hinton, G. (2009) · Proceedings of the 26th Annual International Conference on Machine Learning
Neural Networks and ApplicationsStochastic Gradient Optimization Techniques
Cited by 274
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Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding
Ku, A., Anderson, P., Patel, R., Ie, E., & Baldridge, J. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation
Cited by 274
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Modular Multitask Reinforcement Learning with Policy Sketches
Andreas, J., Klein, D., & Levine, S. (2016) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 274
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Uncovering Large Groups of Active Malicious Accounts in Online Social Networks
Cao, Q., Yang, X., Yu, J., & Palow, C. (2014) · Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security
Spam and Phishing DetectionCybercrime and Law Enforcement Studies
Cited by 274
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Hierarchical motor control in mammals and machines
Merel, J., Botvinick, M., & Wayne, G. (2019) · Nature Communications
Reinforcement Learning in RoboticsMotor Control and Adaptation
Cited by 274
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Leveraging resources in global software development
Battin, R. D., Crocker, R., Kreidler, J., & Subramanian, K. (2001) · IEEE Software
Software Engineering Techniques and PracticesTeam Dynamics and Performance
Cited by 274
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A Review of Deep Learning-Based Information Fusion Techniques for Multimodal Medical Image Classification
Li, Y., El Habib Daho, M., Conze, P.-H., Zeghlache, R., Le Boité, H., Tadayoni, R., Cochener, B., Lamard, M., & Quellec, G. (2024) · Computers in Biology and Medicine
Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques
Cited by 274
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Translational AI and deep learning in diagnostic pathology
Serag, A., Ion-Margineanu, A., Qureshi, H., McMillan, R., Saint Martin, M.-J., Diamond, J., O'Reilly, P., & Hamilton, P. (2019) · Frontiers in Medicine
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 274
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Adaptive Persuasive Systems: A Study of Tailored Persuasive Text Messages to Reduce Snacking
Kaptein, M., De Ruyter, B., Markopoulos, P., & Aarts, E. (2012) · ACM Transactions on Interactive Intelligent Systems
Innovative Human-Technology InteractionMobile Health and mHealth Applications
Cited by 274
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Techniques for highly multiobjective optimisation: some nondominated points are better than others
Corne, D. W., & Knowles, J. D. (2007) · Proceedings of the 9th annual conference on Genetic and evolutionary computation
Advanced Multi-Objective Optimization AlgorithmsEvolutionary Algorithms and Applications
Cited by 273
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Emotion-aware connected healthcare big data towards 5G
Hossain, M. S., & Muhammad, G. (2018) · IEEE Internet of Things Journal
Emotion and Mood RecognitionInternet of Things and AI
Cited by 273
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Display-Selection Techniques for Text Manipulation
English, W. K., Engelbart, D. C., & Berman, M. L. (1967) · IEEE Transactions on Human Factors in Electronics
Interactive and Immersive DisplaysUsability and User Interface Design
Cited by 273
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Die Logik nicht gleichzeitig entscheidbarer Aussagen
Specker, E. (1960) · Dialectica
Advanced Algebra and LogicLogic, Reasoning, and Knowledge
Cited by 273
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Stochastic fairness queueing
McKenney, P. E. (2002) · Proceedings. IEEE INFOCOM '90: Ninth Annual Joint Conference of the IEEE Computer and Communications Societies@m_The Multiple Facets of Integration
Network Traffic and Congestion ControlNetwork Packet Processing and Optimization
Cited by 273
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