Check computer science papers: citations, claims and retractions

Human Activity Recognition Using Wearable Sensors by Deep Convolutional Neural Networks

Jiang, W., & Yin, Z. (2015) · Proceedings of the 23rd ACM international conference on Multimedia

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 676

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Wang, X., Gao, T., Zhu, Z., Zhang, Z., Liu, Z., Li, J., & Tang, J. (2021) · Transactions of the Association for Computational Linguistics

Advanced Graph Neural NetworksTopic Modeling

Cited by 676

Blockchain Technologies: The Foreseeable Impact on Society and Industry

Aste, T., Tasca, P., & Di Matteo, T. (2017) · Computer

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 676

A Software Defined Fog Node Based Distributed Blockchain Cloud Architecture for IoT

Sharma, P. K., Chen, M.-Y., & Park, J. H. (2018) · IEEE Access

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 676

Discrimination-aware data mining

Pedreshi, D., Ruggieri, S., & Turini, F. (2008) · Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 676

Fairness in Machine Learning: Lessons from Political Philosophy

Binns, R. (2017) · arXiv

Ethics and Social Impacts of AIPolitical Philosophy and Ethics

Cited by 676

Deep Learning for Extreme Multi-label Text Classification

Liu, J., Chang, W.-C., Wu, Y., & Yang, Y. (2017) · Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval

Text and Document Classification TechnologiesTopic Modeling

Cited by 676

Blockchain in healthcare and health sciences—A scoping review

Hasselgren, A., Kralevska, K., Gligoroski, D., Pedersen, S. A., & Faxvaag, A. (2020) · International Journal of Medical Informatics

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 676

Advances to Bayesian network inference for generating causal networks from observational biological data

Yu, J., Smith, V. A., Wang, P. P., Hartemink, A. J., & Jarvis, E. D. (2004) · Bioinformatics

Bayesian Modeling and Causal InferenceGene Regulatory Network Analysis

Cited by 675

As-rigid-as-possible shape manipulation

Igarashi, T., Moscovich, T., & Hughes, J. F. (2005) · ACM Transactions on Graphics

Computer Graphics and Visualization Techniques3D Shape Modeling and Analysis

Cited by 675

Semantic Image Segmentation via Deep Parsing Network

Liu, Z., Li, X., Luo, P., Loy, C.-C., & Tang, X. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 675

Revisiting Self-Supervised Visual Representation Learning

Kolesnikov, A., Zhai, X., & Beyer, L. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 675

Multi-Concept Customization of Text-to-Image Diffusion

Kumari, N., Zhang, B., Zhang, R., Shechtman, E., & Zhu, J.-Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 674

The persistent cosmic web and its filamentary structure - I. Theory and implementation: Persistent cosmic web - I: Theory and implementation

Sousbie, T. (2011) · Monthly Notices of the Royal Astronomical Society

Topological and Geometric Data AnalysisGalaxies: Formation, Evolution, Phenomena

Cited by 674

Measuring and Mitigating Unintended Bias in Text Classification

Dixon, L., Li, J., Sorensen, J., Thain, N., & Vasserman, L. (2018) · Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 674

Objects365: A Large-Scale, High-Quality Dataset for Object Detection

Shao, S., Li, Z., Zhang, T., Peng, C., Yu, G., Zhang, X., Li, J., & Sun, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 673

A Provably Secure True Random Number Generator with Built-In Tolerance to Active Attacks

Sunar, B., Martin, W. J., & Stinson, D. R. (2007) · IEEE Transactions on Computers

Physical Unclonable Functions (PUFs) and Hardware SecurityCoding theory and cryptography

Cited by 673

Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge

Kang, Y., Hauswald, J., Gao, C., Rovinski, A., Mudge, T., Mars, J., & Tang, L. (2017) · Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 673

Reproducible Scaling Laws for Contrastive Language-Image Learning

Cherti, M., Beaumont, R., Wightman, R., Wortsman, M., Ilharco, G., Gordon, C., Schuhmann, C., Schmidt, L., & Jitsev, J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 673

GPT detectors are biased against non-native English writers

Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023) · Patterns

Authorship Attribution and ProfilingEthics and Social Impacts of AI

Cited by 673

MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation

Farha, Y. A., & Gall, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 673

Learning Deep Transformer Models for Machine Translation

Wang, Q., Li, B., Xiao, T., Zhu, J., Li, C., Wong, D. F., & Chao, L. S. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 673

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Guo, D., Lu, S., Duan, N., Wang, Y., Zhou, M., & Yin, J. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Software Engineering ResearchTopic Modeling

Cited by 673

Measuring Catastrophic Forgetting in Neural Networks

Kemker, R., McClure, M., Abitino, A., Hayes, T., & Kanan, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 672