Check computer science papers: citations, claims and retractions

Large Language Models for Information Retrieval: A Survey

Zhu, Y., Yuan, H., Wang, S., Liu, J., Liu, W., Deng, C., Chen, H., Liu, Z., Dou, Z., & Wen, J.-R. (2026) · ACM Transactions on Information Systems

Information Retrieval and Search BehaviorTopic Modeling

Cited by 225

Vision Transformers for Classification of Breast Ultrasound Images

Gheflati, B., & Rivaz, H. (2022) · 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 225

When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm

Ma, C., Li, J., Ding, M., Shi, L., Wang, T., Han, Z., & Poor, H. V. (2020) · arXiv

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 225

A systematic comparison of supervised classifiers

Amancio, D. R., Comin, C. H., Casanova, D., Travieso, G., Bruno, O. M., Rodrigues, F. A., & da Fontoura Costa, L. (2014) · PLoS ONE

Machine Learning and Data ClassificationData Mining and Machine Learning Applications

Cited by 225

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

Lee, H. H., Bao, S., Huo, Y., & Landman, B. A. (2022) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 225

Rethinking the Up-Sampling Operations in CNN-Based Generative Network for Generalizable Deepfake Detection

Tan, C., Liu, H., Zhao, Y., Wei, S., Gu, G., Liu, P., & Wei, Y. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 225

Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects

Passi, S., & Jackson, S. J. (2018) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIInformation Systems Theories and Implementation

Cited by 225

CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images

Zhou, Y., Graham, S., Alemi Koohbanani, N., Shaban, M., Heng, P.-A., & Rajpoot, N. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

AI in cancer detectionCell Image Analysis Techniques

Cited by 225

Depression recognition based on dynamic facial and vocal expression features using partial least square regression

Meng, H., Huang, D., Wang, H., Yang, H., AI-Shuraifi, M., & Wang, Y. (2013) · Proceedings of the 3rd ACM international workshop on Audio/visual emotion challenge

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 225

End-to-End Learning of Communications Systems Without a Channel Model

Aoudia, F. A., & Hoydis, J. (2018) · arXiv

Wireless Signal Modulation ClassificationAdvanced Wireless Communication Techniques

Cited by 225

Spatial metaphors and disorientation in hypertext browsing

KIM, H., & HIRTLE, S. C. (1995) · Behaviour & Information Technology

Data Visualization and AnalyticsSpatial Cognition and Navigation

Cited by 224

Software developers' perceptions of productivity

Meyer, A. N., Fritz, T., Murphy, G. C., & Zimmermann, T. (2014) · Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering

Software Engineering Techniques and PracticesPersonal Information Management and User Behavior

Cited by 224

Towards Robust Vision Transformer

Mao, X., Qi, G., Chen, Y., Li, X., Duan, R., Ye, S., He, Y., & Xue, H. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 224

Towards Robust Vision Transformer

Mao, X., Qi, G., Chen, Y., Li, X., Duan, R., Ye, S., He, Y., & Xue, H. (2021) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 224

Queering the Catalog: Queer Theory and the Politics of Correction

Drabinski, E. (2013) · The Library Quarterly

Library Science and Information SystemsLibrary Science and Administration

Cited by 224

DNASU plasmid and PSI: biology-materials repositories: resources to accelerate biological research

Seiler, C. Y., Park, J. G., Sharma, A., Hunter, P., Surapaneni, P., Sedillo, C., Field, J., Algar, R., Price, A., Steel, J., et al. (2014) · Nucleic Acids Research

Research Data Management PracticesEnzyme Structure and Function

Cited by 224

Towards Continual Reinforcement Learning: A Review and Perspectives

Khetarpal, K., Riemer, M., Rish, I., & Precup, D. (2022) · Journal of Artificial Intelligence Research

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 224

ZebraLancer: Private and Anonymous Crowdsourcing System atop Open Blockchain

Lu, Y., Tang, Q., & Wang, G. (2018) · 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS)

Blockchain Technology Applications and SecurityMobile Crowdsensing and Crowdsourcing

Cited by 224

xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

Jaritz, M., Vu, T.-H., de Charette, R., Wirbel, E., & Perez, P. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 224

Multiscale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors

Tang, Y., Zhang, L., Min, F., & He, J. (2023) · IEEE Transactions on Industrial Electronics

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 224

A Survey of Data-driven and Knowledge-aware eXplainable AI

Li, X.-H., Cao, C. C., Shi, Y., Bai, W., Gao, H., Qiu, L., Wang, C., Gao, Y., Zhang, S., Xue, X., et al. (2020) · IEEE Transactions on Knowledge and Data Engineering

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 224

Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification

Eldele, E., Ragab, M., Chen, Z., Wu, M., Kwoh, C.-K., Li, X., & Guan, C. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Time Series Analysis and ForecastingDomain Adaptation and Few-Shot Learning

Cited by 224

SoK: SSL and HTTPS: Revisiting Past Challenges and Evaluating Certificate Trust Model Enhancements

Clark, J., & van Oorschot, P. C. (2013) · 2013 IEEE Symposium on Security and Privacy

Web Application Security VulnerabilitiesAdvanced Authentication Protocols Security

Cited by 224

TinyML: Enabling of Inference Deep Learning Models on Ultra-Low-Power IoT Edge Devices for AI Applications

Alajlan, N. N., & Ibrahim, D. M. (2022) · Micromachines

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 224