Most cited computer science papers
- Verified
A 3D Facial Expression Database For Facial Behavior Research
Yin, L., Wei, X., Sun, Y., Wang, J., & Rosato, M. J. (2006) · 7th International Conference on Automatic Face and Gesture Recognition (FGR06)
Face recognition and analysisEmotion and Mood Recognition
Cited by 1,171
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Efficient algorithms for mining outliers from large data sets
Ramaswamy, S., Rastogi, R., & Shim, K. (2000) · Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Anomaly Detection Techniques and ApplicationsData Management and Algorithms
Cited by 1,171
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Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations
Chen, J. H., & Asch, S. M. (2017) · New England Journal of Medicine
Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education
Cited by 1,171
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Efficient Low-rank Multimodal Fusion With Modality-Specific Factors
Liu, Z., Shen, Y., Lakshminarasimhan, V. B., Liang, P. P., Bagher Zadeh, A., & Morency, L.-P. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques
Cited by 1,170
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Toward Causal Representation Learning
Scholkopf, B., Locatello, F., Bauer, S., Ke, N. R., Kalchbrenner, N., Goyal, A., & Bengio, Y. (2021) · Proceedings of the IEEE
Bayesian Modeling and Causal InferenceAdvanced Causal Inference Techniques
Cited by 1,170
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In-context Learning and Induction Heads
Olsson, C., Elhage, N., Nanda, N., Joseph, N., DasSarma, N., Henighan, T., Mann, B., Askell, A., Bai, Y., Chen, A., et al. (2022) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 1,170
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Training Generative Adversarial Networks with Limited Data
Karras, T., Aittala, M., Hellsten, J., Laine, S., Lehtinen, J., & Aila, T. (2020) · arXiv
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 1,170
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A Survey of Deep Active Learning
Ren, P., Xiao, Y., Chang, X., Huang, P.-Y., Li, Z., Gupta, B. B., Chen, X., & Wang, X. (2022) · ACM Computing Surveys
Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning
Cited by 1,169
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Splitting the unit delay [FIR/all pass filters design]
Laakso, T. I., Valimaki, V., Karjalainen, M., & Laine, U. K. (1996) · IEEE Signal Processing Magazine
Digital Filter Design and ImplementationAdvanced Adaptive Filtering Techniques
Cited by 1,168
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An IoT-Aware Architecture for Smart Healthcare Systems
Catarinucci, L., de Donno, D., Mainetti, L., Palano, L., Patrono, L., Stefanizzi, M. L., & Tarricone, L. (2015) · IEEE Internet of Things Journal
IoT and Edge/Fog ComputingWireless Body Area Networks
Cited by 1,167
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All Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously
Fisher, A., Rudin, C., & Dominici, F. (2018) · arXiv
Explainable Artificial Intelligence (XAI)Statistical Methods and Inference
Cited by 1,165
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Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *
Dastin, J. (2022) · Ethics of Data and Analytics
Ethics and Social Impacts of AIAI and HR Technologies
Cited by 1,165
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Data Center Energy Consumption Modeling: A Survey
Dayarathna, M., Wen, Y., & Fan, R. (2016) · IEEE Communications Surveys & Tutorials
Energy Efficiency in ComputingCloud Computing and Resource Management
Cited by 1,165
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Speeding up Convolutional Neural Networks with Low Rank Expansions
Jaderberg, M., Vedaldi, A., & Zisserman, A. (2014) · Proceedings of the British Machine Vision Conference 2014
Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques
Cited by 1,164
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Evaluating the Visualization of What a Deep Neural Network Has Learned
Samek, W., Binder, A., Montavon, G., Lapuschkin, S., & Muller, K.-R. (2017) · IEEE Transactions on Neural Networks and Learning Systems
Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications
Cited by 1,164
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Iterative and incremental developments. a brief history
Larman, C., & Basili, V. R. (2003) · Computer
Software Engineering Techniques and PracticesSoftware Engineering Research
Cited by 1,164
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Scalable Object Detection Using Deep Neural Networks
Erhan, D., Szegedy, C., Toshev, A., & Anguelov, D. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 1,161
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Study of Subjective and Objective Quality Assessment of Video
Seshadrinathan, K., Soundararajan, R., Bovik, A. C., & Cormack, L. K. (2010) · IEEE Transactions on Image Processing
Image and Video Quality AssessmentDigital Media Forensic Detection
Cited by 1,160
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Deeper and Wider Siamese Networks for Real-Time Visual Tracking
Zhang, Z., & Peng, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 1,160
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AST: Audio Spectrogram Transformer
Gong, Y., Chung, Y.-A., & Glass, J. (2021) · Interspeech 2021
Music and Audio ProcessingSpeech Recognition and Synthesis
Cited by 1,159
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Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Yao, S., Yu, D., Zhao, J., Shafran, I., Griffiths, T. L., Cao, Y., & Narasimhan, K. (2023) · arXiv
AI-based Problem Solving and PlanningTopic Modeling
Cited by 1,158
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A survey of trust in internet applications
Grandison, T., & Sloman, M. (2000) · IEEE Communications Surveys & Tutorials
Access Control and TrustInformation and Cyber Security
Cited by 1,157
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Ultrasound image segmentation: a survey
Noble, J. A., & Boukerroui, D. (2006) · IEEE Transactions on Medical Imaging
Medical Image Segmentation TechniquesUltrasound in Clinical Applications
Cited by 1,157
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Gemma 3 Technical Report
Gemma Team, Kamath, A., Ferret, J., Pathak, S., Vieillard, N., Merhej, R., Perrin, S., Matejovicova, T., Ramé, A., Rivière, M., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 1,156
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