Most cited computer science papers
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Learning subjective language
Wiebe, J., Wilson, T., Bruce, R., Bell, M., & Martin, M. (2004) · Computational Linguistics
Sentiment Analysis and Opinion MiningNatural Language Processing Techniques
Cited by 748
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Wavelet transform domain filters: a spatially selective noise filtration technique
Xu, Y., Weaver, J. B., Healy, D. M., & Lu, J. (1994) · IEEE Transactions on Image Processing
Image and Signal Denoising MethodsImage Enhancement Techniques
Cited by 747
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Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
Schönfeld, E., Ebrahimi, S., Sinha, S., Darrell, T., & Akata, Z. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 747
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Null-text Inversion for Editing Real Images using Guided Diffusion Models
Mokady, R., Hertz, A., Aberman, K., Pritch, Y., & Cohen-Or, D. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 747
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Formal theory of creativity, fun, and intrinsic motivation (1990–2010)
Schmidhuber, J. (2010) · IEEE Transactions on Autonomous Mental Development
Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience
Cited by 747
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Augmented reality marketing: How mobile AR-apps can improve brands through inspiration
Rauschnabel, P. A., Felix, R., & Hinsch, C. (2019) · Journal of Retailing and Consumer Services
Augmented Reality ApplicationsConsumer Behavior in Brand Consumption and Identification
Cited by 747
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Out-of-body experience and autoscopy of neurological origin
Blanke, O., Landis, T., Spinelli, L., & Seeck, M. (2004) · Brain
Virtual Reality Applications and ImpactsPsychosomatic Disorders and Their Treatments
Cited by 747
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It’s Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Schick, T., & Schütze, H. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 747
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SemEval-2018 Task 1: Affect in Tweets
Mohammad, S., Bravo-Marquez, F., Salameh, M., & Kiritchenko, S. (2018) · Proceedings of The 12th International Workshop on Semantic Evaluation
Sentiment Analysis and Opinion MiningEmotion and Mood Recognition
Cited by 746
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Pose estimation for augmented reality: a hands-on survey
Marchand, E., Uchiyama, H., & Spindler, F. (2016) · IEEE Transactions on Visualization and Computer Graphics
Robotics and Sensor-Based LocalizationAugmented Reality Applications
Cited by 746
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A Review of 3d/2d Registration Methods for Image-Guided Interventions
Markelj, P., Tomaževič, D., Likar, B., & Pernuš, F. (2012) · Medical Image Analysis
Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques
Cited by 746
- Verified · note
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
Ooi, K.-B., Tan, G. W.-H., Al-Emran, M., Al-Sharafi, M. A., Capatina, A., Chakraborty, A., Dwivedi, Y. K., Huang, T.-L., Kar, A. K., Lee, V.-H., et al. (2025) · Journal of Computer Information Systems
Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society
Cited by 746
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Recommendation for block cipher modes of operation: methods and techniques
Dworkin, M. J. (2001)
Cryptographic Implementations and SecurityCoding theory and cryptography
Cited by 746
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Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
Ball, J. E., Anderson, D. T., & Chan, C. S. (2017) · Journal of Applied Remote Sensing
Remote-Sensing Image ClassificationAdvanced Neural Network Applications
Cited by 746
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Elucidating reaction mechanisms on quantum computers
Reiher, M., Wiebe, N., Svore, K. M., Wecker, D., & Troyer, M. (2017) · Proceedings of the National Academy of Sciences
Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies
Cited by 745
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Governing artificial intelligence: ethical, legal and technical opportunities and challenges
Cath, C. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 745
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Simulation of Many-Body Fermi Systems on a Universal Quantum Computer
Abrams, D. S., & Lloyd, S. (1997) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 745
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The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
Yilmaz, R., & Karaoglan Yilmaz, F. G. (2023) · Computers and Education: Artificial Intelligence
Teaching and Learning ProgrammingArtificial Intelligence in Education
Cited by 745
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Particular object retrieval with integral max-pooling of CNN activations
Tolias, G., Sicre, R., & Jégou, H. (2015) · arXiv
Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques
Cited by 744
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Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
Hirasawa, T., Aoyama, K., Tanimoto, T., Ishihara, S., Shichijo, S., Ozawa, T., Ohnishi, T., Fujishiro, M., Matsuo, K., Fujisaki, J., et al. (2018) · Gastric Cancer
AI in cancer detectionColorectal Cancer Screening and Detection
Cited by 744
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Quantum optimization using variational algorithms on near-term quantum devices
Moll, N., Barkoutsos, P., Bishop, L. S., Chow, J. M., Cross, A., Egger, D. J., Filipp, S., Fuhrer, A., Gambetta, J. M., Ganzhorn, M., et al. (2018) · Quantum Science and Technology
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 744
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The Semantic Web: the roles of XML and RDF
Decker, S., Melnik, S., van Harmelen, F., Fensel, D., Klein, M., Broekstra, J., Erdmann, M., & Horrocks, I. (2000) · IEEE Internet Computing
Semantic Web and OntologiesLibrary Science and Information Systems
Cited by 743
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Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda
Abdul, A., Vermeulen, J., Wang, D., Lim, B. Y., & Kankanhalli, M. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 743
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MeshCNN: a network with an edge
Hanocka, R., Hertz, A., Fish, N., Giryes, R., Fleishman, S., & Cohen-Or, D. (2019) · ACM Transactions on Graphics
3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques
Cited by 742
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