Check computer science papers: citations, claims and retractions

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces

Dalca, A. V., Balakrishnan, G., Guttag, J., & Sabuncu, M. R. (2019) · Medical Image Analysis

Medical Image Segmentation Techniques3D Shape Modeling and Analysis

Cited by 467

Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Neural Networks?

Nurvitadhi, E., Venkatesh, G., Sim, J., Marr, D., Huang, R., Ong Gee Hock, J., Liew, Y. T., Srivatsan, K., Moss, D., Subhaschandra, S., et al. (2017) · Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 467

Universal Transformers

Dehghani, M., Gouws, S., Vinyals, O., Uszkoreit, J., & Kaiser, Ł. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 467

Embracing Change: Continual Learning in Deep Neural Networks

Hadsell, R., Rao, D., Rusu, A. A., & Pascanu, R. (2020) · Trends in Cognitive Sciences

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 467

Fast Discriminative Visual Codebooks using Randomized Clustering Forests

Moosmann, F., Triggs, B., & Jurie, F. (2007) · Advances in Neural Information Processing Systems 19

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 467

IoT Wearable Sensor and Deep Learning: An Integrated Approach for Personalized Human Activity Recognition in a Smart Home Environment

Bianchi, V., Bassoli, M., Lombardo, G., Fornacciari, P., Mordonini, M., & De Munari, I. (2019) · IEEE Internet of Things Journal

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 466

YOLOP: You Only Look Once for Panoptic Driving Perception

Wu, D., Liao, M.-W., Zhang, W.-T., Wang, X.-G., Bai, X., Cheng, W.-Q., & Liu, W.-Y. (2022) · Machine Intelligence Research

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 466

Inference in an Authorship Problem: A Comparative Study of Discrimination Methods Applied to the Authorship of the Disputed Federalist Papers

Mosteller, F., & Wallace, D. L. (1963) · Journal of the American Statistical Association

Authorship Attribution and ProfilingStatistical Methods and Applications

Cited by 466

Comparing BERT against traditional machine learning text classification

González-Carvajal, S., & Garrido-Merchán, E. C. (2020) · arXiv

Topic ModelingText and Document Classification Technologies

Cited by 466

LISA: Reasoning Segmentation via Large Language Model

Lai, X., Tian, Z., Chen, Y., Li, Y., Yuan, Y., Liu, S., & Jia, J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 466

Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

Daudt, R. C., Le Saux, B., Boulch, A., & Gousseau, Y. (2018) · IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 466

JSON Web Token (JWT)

Jones, M., Bradley, J., & Sakimura, N. (2015)

Advanced Authentication Protocols SecurityCryptographic Implementations and Security

Cited by 466

2017 Global Cryptocurrency Benchmarking Study

Hileman, G., & Rauchs, M. (2017) · SSRN Electronic Journal

Blockchain Technology Applications and SecurityFinTech, Crowdfunding, Digital Finance

Cited by 466

Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data

Jeong, E., Oh, S., Kim, H., Park, J., Bennis, M., & Kim, S.-L. (2018) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 465

No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency

Golestaneh, S. A., Dadsetan, S., & Kitani, K. M. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 465

The state of user-centered design practice

Mao, J.-Y., Vredenburg, K., Smith, P. W., & Carey, T. (2005) · Communications of the ACM

Usability and User Interface DesignSoftware Engineering Techniques and Practices

Cited by 465

Flipping bits in memory without accessing them: An experimental study of DRAM disturbance errors

Kim, Y., Daly, R., Kim, J., Fallin, C., Lee, J. H., Lee, D., Wilkerson, C., Lai, K., & Mutlu, O. (2014) · 2014 ACM/IEEE 41st International Symposium on Computer Architecture (ISCA)

Security and Verification in ComputingLow-power high-performance VLSI design

Cited by 465

An experimental comparison of naive Bayesian and keyword-based anti-spam filtering with personal e-mail messages

Androutsopoulos, I., Koutsias, J., Chandrinos, K. V., & Spyropoulos, C. D. (2000) · Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval

Spam and Phishing DetectionText and Document Classification Technologies

Cited by 465

Principles and procedures of exploratory data analysis.

Behrens, J. T. (1997) · Psychological Methods

Data Visualization and AnalyticsStatistics Education and Methodologies

Cited by 465

BlockDrop: Dynamic Inference Paths in Residual Networks

Wu, Z., Nagarajan, T., Kumar, A., Rennie, S., Davis, L. S., Grauman, K., & Feris, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 465

Big Data ethics

Zwitter, A. (2014) · Big Data & Society

Ethics and Social Impacts of AIBig Data Technologies and Applications

Cited by 465

Contrastive Multiview Coding

Tian, Y., Krishnan, D., & Isola, P. (2019) · arXiv

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 465

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks

Zhang, Y., Jia, R., Pei, H., Wang, W., Li, B., & Song, D. (2019) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 465

Diversity, Serendipity, Novelty, and Coverage: A Survey and Empirical Analysis of Beyond-Accuracy Objectives in Recommender Systems

Kaminskas, M., & Bridge, D. (2017) · ACM Transactions on Interactive Intelligent Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 465