Check computer science papers: citations, claims and retractions

Real-Time Traffic Flow Parameter Estimation From UAV Video Based on Ensemble Classifier and Optical Flow

Ke, R., Li, Z., Tang, J., Pan, Z., & Wang, Y. (2019) · IEEE Transactions on Intelligent Transportation Systems

Video Surveillance and Tracking MethodsTraffic control and management

Cited by 292

Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images

Masood, A., Sheng, B., Li, P., Hou, X., Wei, X., Qin, J., & Feng, D. (2018) · Journal of Biomedical Informatics

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 292

Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature

Weber, P., Carl, K. V., & Hinz, O. (2024) · Management Review Quarterly

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 292

Appearance-Guided Monocular Omnidirectional Visual Odometry for Outdoor Ground Vehicles

Scaramuzza, D., & Siegwart, R. (2008) · IEEE Transactions on Robotics

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 292

How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers

Steiner, A., Kolesnikov, A., Zhai, X., Wightman, R., Uszkoreit, J., & Beyer, L. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 292

Self-supervised Co-training for Video Representation Learning

Han, T., Xie, W., & Zisserman, A. (2020) · arXiv

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 292

MQTTset, a New Dataset for Machine Learning Techniques on MQTT

Vaccari, I., Chiola, G., Aiello, M., Mongelli, M., & Cambiaso, E. (2020) · Sensors

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 292

Explaining Decision-Making Algorithms through UI: Strategies to Help Non-Expert Stakeholders

Cheng, H.-F., Wang, R., Zhang, Z., O'Connell, F., Gray, T., Harper, F. M., & Zhu, H. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 292

[DL] A Survey of FPGA-based Neural Network Inference Accelerators

Guo, K., Zeng, S., Yu, J., Wang, Y., & Yang, H. (2019) · ACM Transactions on Reconfigurable Technology and Systems

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 292

Release Strategies and the Social Impacts of Language Models

Solaiman, I., Brundage, M., Clark, J., Askell, A., Herbert-Voss, A., Wu, J., Radford, A., Krueger, G., Kim, J. W., Kreps, S., et al. (2019) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 292

Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection

Wang, S., Liu, Y., Wang, T., Li, Y., & Zhang, X. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 292

Failure Prediction in IBM BlueGene/L Event Logs

Liang, Y., Zhang, Y., Xiong, H., & Sahoo, R. (2007) · Seventh IEEE International Conference on Data Mining (ICDM 2007)

Distributed systems and fault toleranceParallel Computing and Optimization Techniques

Cited by 292

Light-Head R-CNN: In Defense of Two-Stage Object Detector

Li, Z., Peng, C., Yu, G., Zhang, X., Deng, Y., & Sun, J. (2017) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 292

Auditing Large Language Models: A Three-Layered Approach

Mökander, J., Schuett, J., Kirk, H. R., & Floridi, L. (2023) · AI and Ethics

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 292

Security and Privacy for the Internet of Medical Things Enabled Healthcare Systems: A Survey

Sun, Y., Lo, F. P.-W., & Lo, B. (2019) · IEEE Access

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 292

Auditing large language models: a three-layered approach

Mökander, J., Schuett, J., Kirk, H. R., & Floridi, L. (2023) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 292

Towards explainable deep neural networks (xDNN)

Angelov, P., & Soares, E. (2020) · Neural Networks

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 292

Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning

Shejwalkar, V., Houmansadr, A., Kairouz, P., & Ramage, D. (2022) · 2022 IEEE Symposium on Security and Privacy (SP)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 292

Open Problems in Mechanistic Interpretability

Sharkey, L., Chughtai, B., Batson, J., Lindsey, J., Wu, J., Bushnaq, L., Goldowsky-Dill, N., Heimersheim, S., Ortega, A., Bloom, J., et al. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 291

Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification

Böhle, M., Eitel, F., Weygandt, M., & Ritter, K. (2019) · Frontiers in Aging Neuroscience

Explainable Artificial Intelligence (XAI)Dementia and Cognitive Impairment Research

Cited by 291

SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?

McCormac, J., Handa, A., Leutenegger, S., & Davison, A. J. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 291

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Dai, D., Deng, C., Zhao, C., Xu, R. X., Gao, H., Chen, D., Li, J., Zeng, W., Yu, X., Wu, Y., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 291

Speaker-Follower Models for Vision-and-Language Navigation

Fried, D., Hu, R., Cirik, V., Rohrbach, A., Andreas, J., Morency, L.-P., Berg-Kirkpatrick, T., Saenko, K., Klein, D., & Darrell, T. (2018) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 291

Visual Commonsense R-CNN

Wang, T., Huang, J., Zhang, H., & Sun, Q. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 291