Most cited computer science papers
- Verified
Effect of an AI-based chatbot on students’ learning performance in alternate reality game-based museum learning
Liang, H., Hwang, G., Hsu, T., & Yeh, J. (2024) · British Journal of Educational Technology
Intelligent Tutoring Systems and Adaptive LearningEducational Games and Gamification
Cited by 78
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The agency of algorithms: Understanding human-algorithm interaction in administrative decision-making
Peeters, R. (2020) · Information Polity
Ethics and Social Impacts of AIE-Government and Public Services
Cited by 78
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GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
Prasad, A., Hase, P., Zhou, X., & Bansal, M. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 78
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Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring
Liu, R., Huang, J., Li, G., Feng, J., Wu, X., & Li, T. H. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition
Cited by 78
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A Survey on Efficient Training of Transformers
Zhuang, B., Liu, J., Pan, Z., He, H., Weng, Y., & Shen, C. (2023) · Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence
Advanced Neural Network ApplicationsTopic Modeling
Cited by 78
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The Ontologies Community of Practice: A CGIAR Initiative for Big Data in Agrifood Systems
Arnaud, E., Laporte, M.-A., Kim, S., Aubert, C., Leonelli, S., Miro, B., Cooper, L., Jaiswal, P., Kruseman, G., Shrestha, R., et al. (2020) · Patterns
Semantic Web and OntologiesResearch Data Management Practices
Cited by 78
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Speech synthesis techniques. A survey
Tabet, Y., & Boughazi, M. (2011) · International Workshop on Systems, Signal Processing and their Applications, WOSSPA
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 78
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Medical QoS provision based on reinforcement learning in ultrasound streaming over 3.5G wireless systems
Istepanian, R., Philip, N., & Martini, M. (2009) · IEEE Journal on Selected Areas in Communications
Image and Video Quality AssessmentNetwork Traffic and Congestion Control
Cited by 78
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AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
Dubois, Y., Li, X., Taori, R., Zhang, T., Gulrajani, I., Ba, J., Guestrin, C., Liang, P., & Hashimoto, T. B. (2023) · arXiv
Reinforcement Learning in RoboticsSimulation Techniques and Applications
Cited by 78
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Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
Otani, M., Togashi, R., Sawai, Y., Ishigami, R., Nakashima, Y., Rahtu, E., Heikkilä, J., & Satoh, S. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 78
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Perceptual Image Hashing for Content Authentication Based on Convolutional Neural Network With Multiple Constraints
Qin, C., Liu, E., Feng, G., & Zhang, X. (2021) · IEEE Transactions on Circuits and Systems for Video Technology
Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection
Cited by 78
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Sentiment spin: Attacking financial sentiment with GPT-3
Leippold, M. (2023) · Finance Research Letters
Sentiment Analysis and Opinion MiningAdversarial Robustness in Machine Learning
Cited by 78
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Denoising of Dynamic Contrast-Enhanced MR Images Using Dynamic Nonlocal Means
Gal, Y., Mehnert, A. J. H., Bradley, A. P., McMahon, K., Kennedy, D., & Crozier, S. (2010) · IEEE Transactions on Medical Imaging
Image and Signal Denoising MethodsMRI in cancer diagnosis
Cited by 78
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An efficient deepfake video detection using robust deep learning
Qadir, A., Mahum, R., El-Meligy, M. A., Ragab, A. E., AlSalman, A., & Awais, M. (2024) · Heliyon
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 78
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Bias and fairness assessment of a natural language processing opioid misuse classifier: detection and mitigation of electronic health record data disadvantages across racial subgroups
Thompson, H. M., Sharma, B., Bhalla, S., Boley, R., McCluskey, C., Dligach, D., Churpek, M. M., Karnik, N. S., & Afshar, M. (2021) · Journal of the American Medical Informatics Association
Ethics and Social Impacts of AIMachine Learning in Healthcare
Cited by 78
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Assessment of AI ethical reflection: the development and validation of the AI ethical reflection scale (AIERS) for university students
Wang, Z., Chai, C.-S., Li, J., & Lee, V. W. Y. (2025) · International Journal of Educational Technology in Higher Education
Ethics and Social Impacts of AIArtificial Intelligence in Education
Cited by 78
- Verified · note
Entropy-based redundancy analysis and information screening
Li, Y., Yang, J., & Wen, J. (2023) · Digital Communications and Networks
Machine Learning and Data ClassificationAdvanced Neural Network Applications
Cited by 77
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Data-Efficient Domain Randomization With Bayesian Optimization
Muratore, F., Eilers, C., Gienger, M., & Peters, J. (2021) · IEEE Robotics and Automation Letters
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 77
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A review of deep learning-based three-dimensional medical image registration methods
Xiao, H., Teng, X., Liu, C., Li, T., Ren, G., Yang, R., Shen, D., & Cai, J. (2021) · Quantitative Imaging in Medicine and Surgery
Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques
Cited by 77
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Traffic Scene Segmentation Based on RGB-D Image and Deep Learning
Li, L., Qian, B., Lian, J., Zheng, W., & Zhou, Y. (2018) · IEEE Transactions on Intelligent Transportation Systems
Advanced Neural Network ApplicationsAdvanced Vision and Imaging
Cited by 77
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Traffic Jam Probability Estimation Based on Blockchain and Deep Neural Networks
Hassija, V., Gupta, V., Garg, S., & Chamola, V. (2021) · IEEE Transactions on Intelligent Transportation Systems
Blockchain Technology Applications and SecurityTraffic Prediction and Management Techniques
Cited by 77
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Real or Fake? Learning to Discriminate Machine from Human Generated Text
Bakhtin, A., Gross, S., Ott, M., Deng, Y., Ranzato, M., & Szlam, A. (2019) · arXiv
Topic ModelingAuthorship Attribution and Profiling
Cited by 77
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A Robust Chaos-Based True Random Number Generator Embedded in Reconfigurable Switched-Capacitor Hardware
Drutarovsky, M., & Galajda, P. (2007) · 2007 17th International Conference Radioelektronika
Physical Unclonable Functions (PUFs) and Hardware SecurityChaos-based Image/Signal Encryption
Cited by 77
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Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings
(2018)
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 77
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