Check computer science papers: citations, claims and retractions

The Work Life of Developers: Activities, Switches and Perceived Productivity

Meyer, A. N., Barton, L. E., Murphy, G. C., Zimmermann, T., & Fritz, T. (2017) · IEEE Transactions on Software Engineering

Software Engineering Techniques and PracticesPersonal Information Management and User Behavior

Cited by 170

Two-phase multi-model automatic brain tumour diagnosis system from magnetic resonance images using convolutional neural networks

Abd-Ellah, M. K., Awad, A. I., Khalaf, A. A. M., & Hamed, H. F. A. (2018) · EURASIP Journal on Image and Video Processing

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 170

Reliability of Supervised Machine Learning Using Synthetic Data in Health Care: Model to Preserve Privacy for Data Sharing

Rankin, D., Black, M., Bond, R., Wallace, J., Mulvenna, M., & Epelde, G. (2020) · JMIR Medical Informatics

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare

Cited by 169

MetaICL: Learning to Learn In Context

Min, S., Lewis, M., Zettlemoyer, L., & Hajishirzi, H. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 169

Foresight-a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study

Kraljevic, Z., Bean, D., Shek, A., Bendayan, R., Hemingway, H., Yeung, J. A., Deng, A., Balston, A., Ross, J., Idowu, E., et al. (2024) · The Lancet Digital Health

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 169

Robust Object Co-Segmentation Using Background Prior

Han, J., Quan, R., Zhang, D., & Nie, F. (2018) · IEEE Transactions on Image Processing

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 169

Virtual reality as a patient education tool in healthcare: A scoping review

van der Kruk, S. R., Zielinski, R., MacDougall, H., Hughes-Barton, D., & Gunn, K. M. (2022) · Patient Education and Counseling

Virtual Reality Applications and ImpactsAnatomy and Medical Technology

Cited by 169

IMU Sensor-Based Hand Gesture Recognition for Human-Machine Interfaces

Kim, M., Cho, J., Lee, S., & Jung, Y. (2019) · Sensors

Hand Gesture Recognition SystemsContext-Aware Activity Recognition Systems

Cited by 169

Prediction of cloud data center networks loads using stochastic and neural models

Prevost, J. J., Nagothu, K., Kelley, B., & Jamshidi, M. (2011) · 2011 6th International Conference on System of Systems Engineering

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 169

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning

Sun, X., Panda, R., Feris, R., & Saenko, K. (2019) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 169

Anomaly Detection in Dynamic Graphs via Transformer

Liu, Y., Pan, S., Wang, Y. G., Xiong, F., Wang, L., Chen, Q., & Lee, V. C. (2023) · IEEE Transactions on Knowledge and Data Engineering

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 169

ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification

Li, G., Choi, B., Xu, J., S Bhowmick, S., Chun, K.-P., & Wong, G. L.-H. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Time Series Analysis and ForecastingImage Retrieval and Classification Techniques

Cited by 169

Threat-Based Security Analysis for the Internet of Things

Atamli, A. W., & Martin, A. (2014) · 2014 International Workshop on Secure Internet of Things

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 169

FAMM: Facial Muscle Motions for Detecting Compressed Deepfake Videos Over Social Networks

Liao, X., Wang, Y., Wang, T., Hu, J., & Wu, X. (2023) · IEEE Transactions on Circuits and Systems for Video Technology

Digital Media Forensic DetectionFace recognition and analysis

Cited by 169

Secure and latency-aware digital twin assisted resource scheduling for 5G edge computing-empowered distribution grids

Zhou, Z., Jia, Z., Liao, H., Lu, W., Mumtaz, S., Guizani, M., & Tariq, M. (2022) · IEEE Transactions on Industrial Informatics

IoT and Edge/Fog ComputingSmart Grid Energy Management

Cited by 169

. Hyper-class augmented and regularized deep learning for fine-grained image classification

Xie, S., Yang, T., Wang, X., & Lin, Y. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 169

Learning optimized features for hierarchical models of invariant object recognition.

Wersing, H., & Körner, E. (2003) · Neural Computation

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 169

Dehazing Evaluation: Real-World Benchmark Datasets, Criteria, and Baselines

Zhao, S., Zhang, L., Huang, S., Shen, Y., & Zhao, S. (2020) · IEEE Transactions on Image Processing

Image Enhancement TechniquesImage and Video Quality Assessment

Cited by 169

Multi-Agent Systems Applications in Energy Optimization Problems: A State-of-the-Art Review

González-Briones, A., De La Prieta, F., Mohamad, M. S., Omatu, S., & Corchado, J. M. (2018) · Energies

Multi-Agent Systems and NegotiationSmart Grid Energy Management

Cited by 169

Overview of Terrain Relative Navigation Approaches for Precise Lunar Landing

Johnson, A. E., & Montgomery, J. F. (2008) · 2008 IEEE Aerospace Conference

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 169

Gmail Smart Compose: Real-Time Assisted Writing

Chen, M. X., Lee, B. N., Bansal, G., Cao, Y., Zhang, S., Lu, J., Tsay, J., Wang, Y., Dai, A. M., Chen, Z., et al. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Natural Language Processing TechniquesTopic Modeling

Cited by 169

TLDR: Extreme Summarization of Scientific Documents

Cachola, I., Lo, K., Cohan, A., & Weld, D. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Advanced Text Analysis TechniquesTopic Modeling

Cited by 169

Understanding World or Predicting Future? A Comprehensive Survey of World Models

Ding, J., Zhang, Y., Shang, Y., Zhang, Y., Zong, Z., Feng, J., Yuan, Y., Su, H., Li, N., Sukiennik, N., et al. (2026) · ACM Computing Surveys

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 169

Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter

Jhaver, S., Boylston, C., Yang, D., & Bruckman, A. (2021) · Proceedings of the ACM on Human-Computer Interaction

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 169