Most cited computer science papers
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High resolution passive facial performance capture
Bradley, D., Heidrich, W., Popa, T., & Sheffer, A. (2010) · ACM Transactions on Graphics
Face recognition and analysis3D Shape Modeling and Analysis
Cited by 233
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ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning
Lai, V., Ngo, N., Pouran Ben Veyseh, A., Man, H., Dernoncourt, F., Bui, T., & Nguyen, T. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023
Natural Language Processing TechniquesTopic Modeling
Cited by 233
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Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking
Jia, Z., Maggioni, M., Staiger, B., & Scarpazza, D. P. (2018) · arXiv
Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques
Cited by 233
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Declarative knowledge acquisition in immersive virtual learning environments
Webster, R. (2016) · Interactive Learning Environments
Virtual Reality Applications and ImpactsAugmented Reality Applications
Cited by 233
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The neuroconnectionist research programme
Doerig, A., Sommers, R. P., Seeliger, K., Richards, B., Ismael, J., Lindsay, G. W., Kording, K. P., Konkle, T., van Gerven, M. A. J., Kriegeskorte, N., et al. (2023) · Nature Reviews Neuroscience
Neural Networks and ApplicationsNeural dynamics and brain function
Cited by 233
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Explainable AI in medical imaging: An overview for clinical practitioners – Beyond saliency-based XAI approaches
Borys, K., Schmitt, Y. A., Nauta, M., Seifert, C., Krämer, N., Friedrich, C. M., & Nensa, F. (2023) · European Journal of Radiology
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 233
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Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models.
Landers, R. N., & Behrend, T. S. (2023) · American Psychologist
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 233
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How computer systems embody values
Nissenbaum, H. (2001) · Computer
Ethics and Social Impacts of AICybernetics and Technology in Society
Cited by 232
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Attention-Based 3D-CNNs for Large-Vocabulary Sign Language Recognition
Huang, J., Zhou, W., Li, H., & Li, W. (2019) · IEEE Transactions on Circuits and Systems for Video Technology
Hand Gesture Recognition SystemsHuman Pose and Action Recognition
Cited by 232
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Secure cloud computing: benefits, risks and controls
Carroll, M., van der Merwe, A., & Kotze, P. (2011) · 2011 Information Security for South Africa
Cloud Data Security SolutionsCloud Computing and Resource Management
Cited by 232
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Time delay estimation using the LMS adaptive filter--Static behavior
Reed, F., Feintuch, P., & Bershad, N. (1981) · IEEE Transactions on Acoustics, Speech, and Signal Processing
Advanced Adaptive Filtering TechniquesDirection-of-Arrival Estimation Techniques
Cited by 232
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Neural Network Based Brain Tumor Detection Using Wireless Infrared Imaging Sensor
Mohamed Shakeel, P., Tobely, T. E. E., Al-Feel, H., Manogaran, G., & Baskar, S. (2019) · IEEE Access
Brain Tumor Detection and ClassificationAI in cancer detection
Cited by 232
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Network function virtualization in 5G
Abdelwahab, S., Hamdaoui, B., Guizani, M., & Znati, T. (2016) · IEEE Communications Magazine
Software-Defined Networks and 5GTelecommunications and Broadcasting Technologies
Cited by 232
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Design Principles for Generative AI Applications
Weisz, J. D., He, J., Muller, M., Hoefer, G., Miles, R., & Geyer, W. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionUsability and User Interface Design
Cited by 232
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A Distributed Ledger for Supply Chain Physical Distribution Visibility
Wu, H., Li, Z., King, B., Ben Miled, Z., Wassick, J., & Tazelaar, J. (2017) · Information
Blockchain Technology Applications and SecurityFood Supply Chain Traceability
Cited by 232
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Yet another MicroArchitectural Attack: exploiting I-Cache
Aciiçmez, O. (2007) · Proceedings of the 2007 ACM workshop on Computer security architecture
Security and Verification in ComputingCryptographic Implementations and Security
Cited by 232
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Fog Based Intelligent Transportation Big Data Analytics in The Internet of Vehicles Environment: Motivations, Architecture, Challenges, and Critical Issues
Darwish, T. S. J., & Abu Bakar, K. (2018) · IEEE Access
IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)
Cited by 232
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Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data
Karl, M., Soelch, M., Bayer, J., & van der Smagt, P. (2016) · arXiv
Gaussian Processes and Bayesian InferenceTarget Tracking and Data Fusion in Sensor Networks
Cited by 232
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Variational fast forwarding for quantum simulation beyond the coherence time
Cîrstoiu, C., Holmes, Z., Iosue, J., Cincio, L., Coles, P. J., & Sornborger, A. (2020) · npj Quantum Information
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 232
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Towards pervasive computing in health care – A literature review
Orwat, C., Graefe, A., & Faulwasser, T. (2008) · BMC Medical Informatics and Decision Making
Context-Aware Activity Recognition SystemsInnovation in Digital Healthcare Systems
Cited by 232
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The prospects of quantum computing in computational molecular biology
Outeiral, C., Strahm, M., Shi, J., Morris, G. M., Benjamin, S. C., & Deane, C. M. (2021) · WIREs Computational Molecular Science
Quantum Computing Algorithms and ArchitectureDNA and Biological Computing
Cited by 232
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Understanding choice overload in recommender systems
Bollen, D., Knijnenburg, B. P., Willemsen, M. C., & Graus, M. (2010) · Proceedings of the fourth ACM conference on Recommender systems
Recommender Systems and TechniquesDecision-Making and Behavioral Economics
Cited by 232
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Degenerate Feedback Loops in Recommender Systems
Jiang, R., Chiappa, S., Lattimore, T., György, A., & Kohli, P. (2019) · Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society
Recommender Systems and TechniquesEthics and Social Impacts of AI
Cited by 232
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Robust Reinforcement Learning
Morimoto, J., & Doya, K. (2005) · Neural Computation
Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control
Cited by 232
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