Most cited computer science papers
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Using pen input features as indices of cognitive load
Ruiz, N., Taib, R., Shi, Y. (., Choi, E., & Chen, F. (2007) · Proceedings of the 9th international conference on Multimodal interfaces
Interactive and Immersive DisplaysUsability and User Interface Design
Cited by 34
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Images of artificial intelligence: A blind spot in AI ethics
Romele, A. (2022) · Philosophy & Technology
Ethics and Social Impacts of AICybernetics and Technology in Society
Cited by 34
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On the Use of Agentic Coding: An Empirical Study of Pull Requests on GitHub
Watanabe, M., Li, H., Kashiwa, Y., Reid, B., Iida, H., & Hassan, A. E. (2026) · ACM Transactions on Software Engineering and Methodology
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 34
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On the Use of Software Quality Standard ISO/IEC9126 in Mobile Environments
Idri, A., Moumane, K., & Abran, A. (2013) · 2013 20th Asia-Pacific Software Engineering Conference (APSEC)
Software Engineering Techniques and PracticesUsability and User Interface Design
Cited by 34
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PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models
Feng, T., & Narayanan, S. (2023) · 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII)
Emotion and Mood RecognitionSpeech Recognition and Synthesis
Cited by 34
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A Systematic Study of Bias Amplification
Hall, M., van der Maaten, L., Gustafson, L., Jones, M., & Adcock, A. (2022) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 34
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Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces
Sridhar, A., Doyle, S., & Madabhushi, A. (2015) · Journal of Pathology Informatics
Image Retrieval and Classification TechniquesAI in cancer detection
Cited by 34
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Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
Yang, Z., Du, X., Li, J., Zheng, J., Poria, S., & Cambria, E. (2023) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 34
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Barriers to accessing public cancer genomic data
Learned, K., Durbin, A., Currie, R., Kephart, E. T., Beale, H. C., Sanders, L. M., Pfeil, J., Goldstein, T. C., Salama, S. R., Haussler, D., et al. (2019) · Scientific Data
Research Data Management PracticesEthics in Clinical Research
Cited by 34
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On manipulation by emotional AI: UK adults’ views and governance implications
Bakir, V., Laffer, A., McStay, A., Miranda, D., & Urquhart, L. (2024) · Frontiers in Sociology
Ethics and Social Impacts of AIInnovative Human-Technology Interaction
Cited by 34
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Improved training of binary networks for human pose estimation and image recognition
Bulat, A., Tzimiropoulos, G., Kossaifi, J., & Pantic, M. (2019) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 34
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Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
Burns, C., Izmailov, P., Kirchner, J. H., Baker, B., Gao, L., Aschenbrenner, L., Chen, Y., Ecoffet, A., Joglekar, M., Leike, J., et al. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 34
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Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Lee, G., Hartmann, V., Park, J., Papailiopoulos, D., & Lee, K. (2023) · arXiv
Speech and dialogue systemsTopic Modeling
Cited by 34
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Random circuit block-encoded matrix and a proposal of quantum LINPACK benchmark
Dong, Y., & Lin, L. (2021) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 34
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Working memory failure in phone-based interaction
Huguenard, B. R., Lerch, F. J., Junker, B. W., Patz, R. J., & Kass, R. E. (1997) · ACM Transactions on Computer-Human Interaction
Usability and User Interface DesignInteractive and Immersive Displays
Cited by 34
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A digital IC Random Number Generator with logic gates only
Guler, U., Ergun, S., & Dundar, G. (2010) · 2010 17th IEEE International Conference on Electronics, Circuits and Systems
Physical Unclonable Functions (PUFs) and Hardware SecurityLow-power high-performance VLSI design
Cited by 34
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Spinal cord detection in planning CT for radiotherapy through adaptive template matching, IMSLIC and convolutional neural networks
Diniz, J. O. B., Diniz, P. H. B., Valente, T. L. A., Silva, A. C., & Paiva, A. C. (2019) · Computer Methods and Programs in Biomedicine
Medical Image Segmentation TechniquesMedical Imaging and Analysis
Cited by 34
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Linearly Mapping from Image to Text Space
Merullo, J., Castricato, L., Eickhoff, C., & Pavlick, E. (2022) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 34
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Are Visual Explanations Useful? A Case Study in Model-in-the-Loop Prediction
Chu, E., Roy, D., & Andreas, J. (2020) · arXiv
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 34
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Explainable machine learning predictions to help anesthesiologists prevent hypoxemia during surgery
Lundberg, S. M., Nair, B., Vavilala, M. S., Horibe, M., Eisses, M. J., Adams, T., Liston, D. E., Low, D. K.-W., Newman, S.-F., Kim, J., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory)
Machine Learning in HealthcareExplainable Artificial Intelligence (XAI)
Cited by 34
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Predicting Diagnostic Progression to Schizophrenia or Bipolar Disorder via Machine Learning
Hansen, L., Bernstorff, M., Enevoldsen, K., Kolding, S., Damgaard, J. G., Perfalk, E., Nielbo, K. L., Danielsen, A. A., & Østergaard, S. D. (2025) · JAMA Psychiatry
Machine Learning in HealthcareSchizophrenia research and treatment
Cited by 34
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Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding
Ding, R., Yang, J., Xue, C., Zhang, W., Bai, S., & Qi, X. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced Neural Network Applications3D Shape Modeling and Analysis
Cited by 34
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Active Inductive Logic Programming for Code Search
Sivaraman, A., Zhang, T., Van den Broeck, G., & Kim, M. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)
Software Engineering ResearchInformation Retrieval and Search Behavior
Cited by 34
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An Adaptive Denoising and Detection Approach for Underwater Sonar Image
Wang, X., Li, Q., Yin, J., Han, X., & Hao, W. (2019) · Remote Sensing
Image and Signal Denoising MethodsUnderwater Acoustics Research
Cited by 34
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