Most cited computer science papers
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Robust physical-world attacks on deep learning visual classification
Eykholt, K., Evtimov, I., Fernandes, E., Li, B., Rahmati, A., Xiao, C., Prakash, A., Kohno, T., & Song, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 2,173
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Generative Agents: Interactive Simulacra of Human Behavior
Park, J. S., O'Brien, J. C., Cai, C. J., Morris, M. R., Liang, P., & Bernstein, M. S. (2023) · arXiv
Artificial Intelligence in GamesMulti-Agent Systems and Negotiation
Cited by 2,173
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Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples
Athalye, A., Carlini, N., & Wagner, D. (2018) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 2,172
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Domain-specific language model pretraining for biomedical natural language processing
Gu, Y., Tinn, R., Cheng, H., Lucas, M., Usuyama, N., Liu, X., Naumann, T., Gao, J., & Poon, H. (2022) · ACM Transactions on Computing for Healthcare
Topic ModelingBiomedical Text Mining and Ontologies
Cited by 2,170
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End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
Ardila, D., Kiraly, A. P., Bharadwaj, S., Choi, B., Reicher, J. J., Peng, L., Tse, D., Etemadi, M., Ye, W., Corrado, G., et al. (2019) · Nature Medicine
AI in cancer detectionLung Cancer Diagnosis and Treatment
Cited by 2,167
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Definitions, methods, and applications in interpretable machine learning
Murdoch, W. J., Singh, C., Kumbier, K., Abbasi-Asl, R., & Yu, B. (2019) · Proceedings of the National Academy of Sciences
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 2,167
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QSAR Modeling: Where have you been? Where are you going to?
Cherkasov, A., Muratov, E. N., Fourches, D., Varnek, A., Baskin, I. I., Cronin, M., Dearden, J., Gramatica, P., Martin, Y. C., Todeschini, R., et al. (2014) · Journal of Medicinal Chemistry
Computational Drug Discovery MethodsAdvanced Chemical Physics Studies
Cited by 2,164
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Anchors: High-Precision Model-Agnostic Explanations
Ribeiro, M. T., Singh, S., & Guestrin, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 2,162
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Applying 'design by contract'
Meyer, B. (1992) · Computer
Logic, programming, and type systemsAdvanced Software Engineering Methodologies
Cited by 2,162
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The Arcade Learning Environment: An Evaluation Platform for General Agents
Bellemare, M. G., Naddaf, Y., Veness, J., & Bowling, M. (2013) · Journal of Artificial Intelligence Research
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 2,161
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Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks
Zhang, C., Li, P., Sun, G., Guan, Y., Xiao, B., & Cong, J. (2015) · Proceedings of the 2015 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
Embedded Systems Design TechniquesAdvanced Neural Network Applications
Cited by 2,158
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Experimental realization of any discrete unitary operator
Reck, M., Zeilinger, A., Bernstein, H. J., & Bertani, P. (1994) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 2,155
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Textural Features Corresponding to Visual Perception
Tamura, H., Mori, S., & Yamawaki, T. (1978) · IEEE Transactions on Systems, Man, and Cybernetics
Image Retrieval and Classification TechniquesIndustrial Vision Systems and Defect Detection
Cited by 2,155
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What is the best multi-stage architecture for object recognition?
Jarrett, K., Kavukcuoglu, K., Ranzato, M. A., & LeCun, Y. (2009) · 2009 IEEE 12th International Conference on Computer Vision
Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications
Cited by 2,153
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Using AUC and accuracy in evaluating learning algorithms
Huang, J., & Ling, C. X. (2005) · IEEE Transactions on Knowledge and Data Engineering
Imbalanced Data Classification TechniquesMachine Learning and Data Classification
Cited by 2,148
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Recent advances in physical reservoir computing: A review
Tanaka, G., Yamane, T., Héroux, J. B., Nakane, R., Kanazawa, N., Takeda, S., Numata, H., Nakano, D., & Hirose, A. (2019) · Neural Networks
Neural Networks and Reservoir ComputingAdvanced Memory and Neural Computing
Cited by 2,146
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Open source software and the “private-collective” innovation model: Issues for organization science
Hippel, E. V., & Krogh, G. V. (2003) · Organization Science
Open Source Software InnovationsDigital Platforms and Economics
Cited by 2,145
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Rich Models for Steganalysis of Digital Images
Fridrich, J., & Kodovsky, J. (2012) · IEEE Transactions on Information Forensics and Security
Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection
Cited by 2,144
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A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
Huang, L., Yu, W., Ma, W., Zhong, W., Feng, Z., Wang, H., Chen, Q., Peng, W., Feng, X., Qin, B., et al. (2025) · ACM Transactions on Information Systems
Topic ModelingFerroelectric and Negative Capacitance Devices
Cited by 2,142
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Inside the Turk: Understanding Mechanical Turk as a Participant Pool
Paolacci, G., & Chandler, J. (2014) · Current Directions in Psychological Science
Mobile Crowdsensing and CrowdsourcingSurvey Methodology and Nonresponse
Cited by 2,136
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SWITCHBOARD: telephone speech corpus for research and development
Godfrey, J. J., Holliman, E. C., & McDaniel, J. (1992) · [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 2,134
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Online University Teaching During and After the Covid-19 Crisis: Refocusing Teacher Presence and Learning Activity
Rapanta, C., Botturi, L., Goodyear, P., Guàrdia, L., & Koole, M. (2020) · Postdigital Science and Education
Digital Education and SocietyHigher Education Practises and Engagement
Cited by 2,130
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Deep Interest Network for Click-Through Rate Prediction
Zhou, G., Zhu, X., Song, C., Fan, Y., Zhu, H., Ma, X., Yan, Y., Jin, J., Li, H., & Gai, K. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 2,128
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The protection of information in computer systems
Saltzer, J. H., & Schroeder, M. D. (1975) · Proceedings of the IEEE
Security and Verification in ComputingAccess Control and Trust
Cited by 2,126
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