Check computer science papers: citations, claims and retractions

Machine Learning for Cognitive Network Management

Ayoubi, S., Limam, N., Salahuddin, M. A., Shahriar, N., Boutaba, R., Estrada-Solano, F., & Caicedo, O. M. (2018) · IEEE Communications Magazine

Software-Defined Networks and 5GMobile Agent-Based Network Management

Cited by 217

Joint Audio-Visual Deepfake Detection

Zhou, Y., & Lim, S.-N. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 217

CLIPasso: semantically-aware object sketching

Vinker, Y., Pajouheshgar, E., Bo, J. Y., Bachmann, R. C., Bermano, A. H., Cohen-Or, D., Zamir, A., & Shamir, A. (2022) · ACM Transactions on Graphics

Generative Adversarial Networks and Image Synthesis3D Shape Modeling and Analysis

Cited by 217

Modeling dominance in group conversations using nonverbal activity cues

Jayagopi, D. B., Hung, H., Yeo, C., & Gatica-Perez, D. (2009) · IEEE Transactions on Audio, Speech, and Language Processing

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 217

The Persuasive Power of Data Visualization

Pandey, A. V., Manivannan, A., Nov, O., Satterthwaite, M., & Bertini, E. (2014) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsInnovative Human-Technology Interaction

Cited by 217

Designing tangible programming languages for classroom use

Horn, M. S., & Jacob, R. J. K. (2007) · Proceedings of the 1st international conference on Tangible and embedded interaction

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 217

Is Economics Research Replicable? Sixty Published Papers from Thirteen Journals Say 'Usually Not'

Chang, A. C., & Li, P. (2015) · Finance and Economics Discussion Series

Research Data Management PracticesScientific Computing and Data Management

Cited by 217

The concept of hybrid human-AI regulation: Exemplifying how to support young learners’ self-regulated learning

Molenaar, I. (2022) · Computers and Education: Artificial Intelligence

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 217

An empirical assessment of transparency and reproducibility-related research practices in the social sciences (2014–2017)

Hardwicke, T. E., Wallach, J. D., Kidwell, M. C., Bendixen, T., Crüwell, S., & Ioannidis, J. P. A. (2020) · Royal Society Open Science

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 217

On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework

Liu, S., Lin, Y., Zhou, Z., Nan, K., Liu, H., & Du, J. (2018) · Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 217

Supervised Learning of Image Restoration with Convolutional Networks

Jain, V., Murray, J. F., Roth, F., Turaga, S., Zhigulin, V., Briggman, K. L., Helmstaedter, M. N., Denk, W., & Seung, H. S. (2007) · 2007 IEEE 11th International Conference on Computer Vision

Image and Signal Denoising MethodsAdvanced Image Processing Techniques

Cited by 217

Brain tumor target volume determination for radiation treatment planning through automated MRI segmentation

Mazzara, G. P., Velthuizen, R. P., Pearlman, J. L., Greenberg, H. M., & Wagner, H. (2004) · International Journal of Radiation Oncology*Biology*Physics

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 216

A survey on neural speech synthesis

Tan, X., Qin, T., Soong, F., & Liu, T.-Y. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 216

Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation

Zhuang, Z., Li, R., Jia, K., Wang, Q., Li, Y., & Tan, M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 216

Ultrahigh Error Threshold for Surface Codes with Biased Noise

Tuckett, D. K., Bartlett, S. D., & Flammia, S. T. (2018) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 216

Explainable AI for clinical and remote health applications: A survey on tabular and time series data

Di Martino, F., & Delmastro, F. (2023) · Artificial Intelligence Review

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 216

Enabling Large Language Models to Generate Text with Citations

Gao, T., Yen, H., Yu, J., & Chen, D. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingInformation Retrieval and Search Behavior

Cited by 216

Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation

Zhou, J., Cao, Y., Wang, X., Li, P., & Xu, W. (2016) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 216

A Graph-to-Sequence Model for AMR-to-Text Generation

Song, L., Zhang, Y., Wang, Z., & Gildea, D. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 216

iSleep: unobtrusive sleep quality monitoring using smartphones

Hao, T., Xing, G., & Zhou, G. (2013) · Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems

Context-Aware Activity Recognition SystemsSleep and related disorders

Cited by 216

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Li, M., Lin, J., Ding, Y., Liu, Z., Zhu, J.-Y., & Han, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 216

Device Scheduling with Fast Convergence for Wireless Federated Learning

Shi, W., Zhou, S., & Niu, Z. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 216

Benchmarking TinyML Systems: Challenges and Direction

Banbury, C. R., Reddi, V. J., Lam, M., Fu, W., Fazel, A., Holleman, J., Huang, X., Hurtado, R., Kanter, D., Lokhmotov, A., et al. (2020) · arXiv

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 216

Winning the KDD99 classification cup: bagged boosting

Pfahringer, B. (2000) · ACM SIGKDD Explorations Newsletter

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 216