Most cited computer science papers
- Verified
Some reflections on designing construction kits for kids
Resnick, M., & Silverman, B. (2005) · Proceedings of the 2005 conference on Interaction design and children
Teaching and Learning ProgrammingEducational Robotics and Engineering
Cited by 434
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LOGAN: Membership Inference Attacks Against Generative Models
Hayes, J., Melis, L., Danezis, G., & De Cristofaro, E. (2019) · Proceedings on Privacy Enhancing Technologies
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 433
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A probabilistic algorithm for k-SAT and constraint satisfaction problems
Schoning, T. (2003) · 40th Annual Symposium on Foundations of Computer Science (Cat. No.99CB37039)
Constraint Satisfaction and OptimizationAdvanced Graph Theory Research
Cited by 433
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Discrete time techniques for time delay estimation
Jacovitti, G., & Scarano, G. (1993) · IEEE Transactions on Signal Processing
Advanced Adaptive Filtering TechniquesAdvanced Signal Processing Techniques
Cited by 433
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Brain tumor detection using fusion of hand crafted and deep learning features
Saba, T., Sameh Mohamed, A., El-Affendi, M., Amin, J., & Sharif, M. (2020) · Cognitive Systems Research
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 433
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Medical image retrieval using deep convolutional neural network
Qayyum, A., Anwar, S. M., Awais, M., & Majid, M. (2017) · Neurocomputing
Image Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques
Cited by 433
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Parameter expansion to accelerate EM: the PX-EM algorithm
Liu, C. (1998) · Biometrika
Bayesian Methods and Mixture ModelsStatistical Methods and Bayesian Inference
Cited by 433
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Automated Program Repair in the Era of Large Pre-trained Language Models
Xia, C. S., Wei, Y., & Zhang, L. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 433
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Geometric Folding Algorithms: Linkages, Origami, Polyhedra
Demaine, E. D., & O'Rourke, J. (2007) · Cambridge University Press eBooks
Computational Geometry and Mesh GenerationAdvanced Combinatorial Mathematics
Cited by 433
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Self-Supervised Representation Learning: Introduction, advances, and challenges
Ericsson, L., Gouk, H., Loy, C. C., & Hospedales, T. M. (2022) · IEEE Signal Processing Magazine
Domain Adaptation and Few-Shot LearningAdvanced Graph Neural Networks
Cited by 433
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Why are we using black box models in AI when we don't need to? A lesson from an explainable AI competition
Rudin, C., & Radin, J. (2019) · Harvard Data Science Review
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 432
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A systematic review of explainable artificial intelligence models and applications: recent developments and future trends
A., S., & R., S. (2023) · Decision Analytics Journal
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 432
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Generalized Unitary Coupled Cluster Wave functions for Quantum Computation
Lee, J., Huggins, W. J., Head-Gordon, M., & Whaley, K. B. (2019) · Journal of Chemical Theory and Computation
Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies
Cited by 432
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Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks
Thilina, K. M., Choi, K. W., Saquib, N., & Hossain, E. (2013) · IEEE Journal on Selected Areas in Communications
Cognitive Radio Networks and Spectrum SensingWireless Signal Modulation Classification
Cited by 432
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Bias on the web
Baeza-Yates, R. (2018) · Communications of the ACM
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 432
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Quantum Computers Can Search Arbitrarily Large Databases by a Single Query
Grover, L. K. (1997) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 432
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To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks
Peters, M. E., Ruder, S., & Smith, N. A. (2019) · Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 432
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“It's on my iPhone”: attitudes to the use of mobile computing devices in medical education, a mixed-methods study
Wallace, S., Clark, M., & White, J. (2012) · BMJ Open
Mobile Learning in EducationInnovations in Medical Education
Cited by 432
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Managing technical debt in software-reliant systems
Brown, N., Cai, Y., Guo, Y., Kazman, R., Kim, M., Kruchten, P., Lim, E., MacCormack, A., Nord, R., Ozkaya, I., et al. (2010) · Proceedings of the FSE/SDP workshop on Future of software engineering research
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 432
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Audiolm: A language modeling approach to audio generation
Borsos, Z., Marinier, R., Vincent, D., Kharitonov, E., Pietquin, O., Sharifi, M., Roblek, D., Teboul, O., Grangier, D., Tagliasacchi, M., et al. (2023) · IEEE/ACM Transactions on Audio, Speech, and Language Processing
Speech Recognition and SynthesisMusic and Audio Processing
Cited by 432
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Quantum Simulation of Electronic Structure with Linear Depth and Connectivity
Kivlichan, I. D., McClean, J., Wiebe, N., Gidney, C., Aspuru-Guzik, A., Chan, G. K.-L., & Babbush, R. (2018) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 431
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Intriguing Properties of Vision Transformers
Naseer, M., Ranasinghe, K., Khan, S., Hayat, M., Khan, F. S., & Yang, M.-H. (2021) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 431
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Semiclassical Fourier Transform for Quantum Computation
Griffiths, R. B., & Niu, C.-S. (1996) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 431
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Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks
Savazzi, S., Nicoli, M., & Rampa, V. (2020) · IEEE Internet of Things Journal
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 431
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