Most cited computer science papers
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On the Limit of English Conversational Speech Recognition
Tüske, Z., Saon, G., & Kingsbury, B. (2021) · Interspeech 2021
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 41
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Predicting the tumor microenvironment composition and immunotherapy response in non-small cell lung cancer from digital histopathology images
Patkar, S., Chen, A., Basnet, A., Bixby, A., Rajendran, R., Chernet, R., Faso, S., Kumar, P. A., Desai, D., El-Zammar, O., et al. (2024) · npj Precision Oncology
AI in cancer detectionCancer Immunotherapy and Biomarkers
Cited by 41
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No specific relationship between hypnotic suggestibility and the rubber hand illusion
Ehrsson, H. H., Fotopoulou, A., Radziun, D., Longo, M. R., & Tsakiris, M. (2022) · Nature Communications
Virtual Reality Applications and ImpactsPain Management and Placebo Effect
Cited by 41
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Fighting Quantization Bias With Bias
Finkelstein, A., Almog, U., & Grobman, M. (2019) · arXiv
Advanced Neural Network ApplicationsLow-power high-performance VLSI design
Cited by 41
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Knowledge Graph Completion via Complex Tensor Factorization
Trouillon, T., Dance, C. R., Welbl, J., Riedel, S., Gaussier, É., & Bouchard, G. (2017) · arXiv
Advanced Graph Neural NetworksRecommender Systems and Techniques
Cited by 41
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Supporting Software Developers with a Holistic Recommender System
Ponzanelli, L., Scalabrino, S., Bavota, G., Mocci, A., Oliveto, R., Di Penta, M., & Lanza, M. (2017) · 2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE)
Software Engineering ResearchRecommender Systems and Techniques
Cited by 41
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Seeing infrastructure: race, facial recognition and the politics of data
Stevens, N., & Keyes, O. (2021) · Cultural Studies
Ethics and Social Impacts of AIFace recognition and analysis
Cited by 41
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Exploring the Capabilities of LLMs for Code-Change-Related Tasks
Fan, L., Liu, J., Liu, Z., Lo, D., Xia, X., & Li, S. (2025) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchTopic Modeling
Cited by 41
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Neural-based Context Representation Learning for Dialog Act Classification
Ortega, D., & Vu, N. T. (2017) · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
Speech and dialogue systemsTopic Modeling
Cited by 41
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Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization
Alterazi, H. A., Kshirsagar, P. R., Manoharan, H., Selvarajan, S., Alhebaishi, N., Srivastava, G., & Lin, J. C.-W. (2022) · Sensors
Network Security and Intrusion DetectionInternet of Things and AI
Cited by 41
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Planting Undetectable Backdoors in Machine Learning Models : [Extended Abstract]
Goldwasser, S., Kim, M. P., Vaikuntanathan, V., & Zamir, O. (2022) · 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
Adversarial Robustness in Machine LearningCryptography and Data Security
Cited by 41
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Empirical Detection Techniques of Insider Threat Incidents
Alsowail, R. A., & Al-Shehari, T. (2020) · IEEE Access
Information and Cyber SecurityNetwork Security and Intrusion Detection
Cited by 41
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An exploration of uncertainty information for segmentation quality assessment
Hoebel, K., Andrearczyk, V., Beers, A. L., Patel, J. B., Chang, K., Depeursinge, A., Mueller, H., & Kalpathy-Cramer, J. (2020) · Medical Imaging 2020: Image Processing
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 41
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Student and Staff Perspectives on the Use of Big Data in the Tertiary Education Sector: A Scoping Review and Reflection on the Ethical Issues
Braunack-Mayer, A. J., Street, J. M., Tooher, R., Feng, X., & Scharling-Gamba, K. (2020) · Review of Educational Research
Online Learning and AnalyticsData Privacy and Cybersecurity
Cited by 41
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Social engineering in social networking sites: Affect-based model
Algarni, A., Xu, Y., Chan, T., & Tian, Y.-C. (2013) · 8th International Conference for Internet Technology and Secured Transactions (ICITST-2013)
Spam and Phishing DetectionInformation and Cyber Security
Cited by 41
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Parameter Conjugate Gradient with Secant Equation Based Elman Neural Network and its Convergence Analysis
Fan, Q., Zhang, Z., & Huang, X. (2022) · Advanced Theory and Simulations
Neural Networks and ApplicationsStochastic Gradient Optimization Techniques
Cited by 41
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Digital health in East Africa: innovation, experimentation and the market
Neumark, T., & Prince, R. J. (2021) · Global Policy
ICT in Developing CommunitiesHealthcare Systems and Practices
Cited by 41
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FLDS: An Intelligent Feature Learning Detection System for Visualizing Medical Images Supporting Fetal Four-Chamber Views
Qiao, S., Pang, S., Luo, G., Pan, S., Chen, T., & Lv, Z. (2022) · IEEE Journal of Biomedical and Health Informatics
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 41
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IoT Solution for AI-Enabled PRIVACY-PREServing with Big Data Transferring: An Application for Healthcare Using Blockchain
Elhoseny, M., Haseeb, K., Shah, A. A., Ahmad, I., Jan, Z., & Alghamdi, M. I. (2021) · Energies
Blockchain Technology Applications and SecurityInternet of Things and AI
Cited by 41
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Data-Agnostic Model Poisoning Against Federated Learning: A Graph Autoencoder Approach
Li, K., Zheng, J., Yuan, X., Ni, W., Akan, O. B., & Poor, H. V. (2024) · IEEE Transactions on Information Forensics and Security
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 41
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Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality
Khosravi, P., Fuchs, T. J., & Ho, D. J. (2025) · Cancer Research
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 41
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The future of online trust (and why Deepfake is advancing it)
Etienne, H. (2021) · AI and Ethics
Ethics and Social Impacts of AIMisinformation and Its Impacts
Cited by 41
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A Layer-Based Sequential Framework for Scene Generation with GANs
Turkoglu, M. O., Thong, W., Spreeuwers, L., & Kicanaoglu, B. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 41
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Emergence of belief-like representations through reinforcement learning
Hennig, J. A., Romero Pinto, S. A., Yamaguchi, T., Linderman, S. W., Uchida, N., & Gershman, S. J. (2023) · PLOS Computational Biology
Reinforcement Learning in RoboticsNeural and Behavioral Psychology Studies
Cited by 41
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