Check computer science papers: citations, claims and retractions

Strong-Weak Distribution Alignment for Adaptive Object Detection

Saito, K., Ushiku, Y., Harada, T., & Saenko, K. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 819

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P., & Shroff, G. (2016) · arXiv

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 819

A deep learning framework for unsupervised affine and deformable image registration

de Vos, B. D., Berendsen, F. F., Viergever, M. A., Sokooti, H., Staring, M., & Išgum, I. (2019) · Medical Image Analysis

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 818

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

Zhang, W., Li, R., Deng, H., Wang, L., Lin, W., Ji, S., & Shen, D. (2015) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 817

Quantum Algorithm Providing Exponential Speed Increase for Finding Eigenvalues and Eigenvectors

Abrams, D. S., & Lloyd, S. (1999) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 817

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

Chu, X., Tian, Z., Wang, Y., Zhang, B., Ren, H., Wei, X., Xia, H., & Shen, C. (2021) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 817

Maximum mutual information estimation of hidden Markov model parameters for speech recognition

Bahl, L., Brown, P., de Souza, P., & Mercer, R. (2005) · ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 817

PIDNet: A Real-time Semantic Segmentation Network Inspired by PID Controllers

Xu, J., Xiong, Z., & Bhattacharyya, S. P. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 817

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation

Hui, T.-W., Tang, X., & Loy, C. C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 817

Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges

Cheng, Y., Wang, D., Zhou, P., & Zhang, T. (2018) · IEEE Signal Processing Magazine

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 817

The Risk of Racial Bias in Hate Speech Detection

Sap, M., Card, D., Gabriel, S., Choi, Y., & Smith, N. A. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 817

Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis

Yu, W., Xu, H., Yuan, Z., & Wu, J. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 816

Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review

Timotheou, S., Miliou, O., Dimitriadis, Y., Sobrino, S. V., Giannoutsou, N., Cachia, R., Monés, A. M., & Ioannou, A. (2023) · Education and Information Technologies

Mobile Learning in EducationDigital literacy in education

Cited by 816

A continuously variable digital delay element

Farrow, C. W. (2003) · 1988., IEEE International Symposium on Circuits and Systems

Digital Filter Design and ImplementationAdvanced Adaptive Filtering Techniques

Cited by 816

Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

Mathur, A., Acar, G., Friedman, M. J., Lucherini, E., Mayer, J., Chetty, M., & Narayanan, A. (2019) · Proceedings of the ACM on Human-Computer Interaction

Innovative Human-Technology InteractionPrivacy, Security, and Data Protection

Cited by 816

Domain Adaptation for Statistical Classifiers

Daume III, H., & Marcu, D. (2006) · Journal of Artificial Intelligence Research

Domain Adaptation and Few-Shot LearningNatural Language Processing Techniques

Cited by 816

Estimating the success of re-identifications in incomplete datasets using generative models

Rocher, L., Hendrickx, J. M., & de Montjoye, Y.-A. (2019) · Nature Communications

Privacy-Preserving Technologies in DataData Quality and Management

Cited by 816

YOLO-World: Real-Time Open-Vocabulary Object Detection

Cheng, T., Song, L., Ge, Y., Liu, W., Wang, X., & Shan, Y. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 815

Google's PageRank and Beyond: The Science of Search Engine Rankings

Langville, A. N., & Meyer, C. D. (2006) · Princeton University Press eBooks

Information Retrieval and Search BehaviorWeb visibility and informetrics

Cited by 814

Fisher information and stochastic complexity

Rissanen, J. J. (1996) · IEEE Transactions on Information Theory

Computability, Logic, AI AlgorithmsAlgorithms and Data Compression

Cited by 814

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution

Zhang, K., Liang, J., Van Gool, L., & Timofte, R. (2021) · arXiv

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 814

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation

Zhao, X., Wu, Y., Song, G., Li, Z., Zhang, Y., & Fan, Y. (2018) · Medical Image Analysis

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 813

High-precision, consistent EKF-based visual-inertial odometry

Li, M., & Mourikis, A. I. (2013) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 813

The LINPACK Benchmark: past, present and future

Dongarra, J. J., Luszczek, P., & Petitet, A. (2003) · Concurrency and Computation: Practice and Experience

Parallel Computing and Optimization TechniquesMatrix Theory and Algorithms

Cited by 813