Check computer science papers: citations, claims and retractions

Contextual anomaly detection framework for big sensor data

Hayes, M. A., & Capretz, M. A. (2015) · Journal of Big Data

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 149

Is GPT-3 a Good Data Annotator?

Ding, B., Qin, C., Liu, L., Chia, Y. K., Li, B., Joty, S., & Bing, L. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 149

Interpretable machine learning for dementia: a systematic review

Martin, S. A., Townend, F. J., Barkhof, F., & Cole, J. H. (2023) · Alzheimer's & Dementia

Explainable Artificial Intelligence (XAI)Dementia and Cognitive Impairment Research

Cited by 149

Big Data Quality Framework: A Holistic Approach to Continuous Quality Management

Taleb, I., Serhani, M. A., Bouhaddioui, C., & Dssouli, R. (2021) · Journal of Big Data

Data Quality and ManagementBig Data Technologies and Applications

Cited by 149

USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation

Mehri, S., & Eskenazi, M. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 149

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

Dong, J., Cong, Y., Sun, G., Zhong, B., & Xu, X. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 149

Nobel Turing Challenge: creating the engine for scientific discovery

Kitano, H. (2021) · npj Systems Biology and Applications

Artificial Intelligence ApplicationsResearch, Science, and Academia

Cited by 149

Presence-Only Geographical Priors for Fine-Grained Image Classification

Aodha, O. M., Cole, E., & Perona, P. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 149

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation

Miura, Y., Zhang, Y., Tsai, E., Langlotz, C., & Jurafsky, D. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 149

A Fast Adaptive k-means with No Bounds

Xia, S., Peng, D., Meng, D., Zhang, C., Wang, G., Giem, E., Wei, W., & Chen, Z. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Clustering Algorithms ResearchData Mining and Machine Learning Applications

Cited by 149

FDC: A Secure Federated Deep Learning Mechanism for Data Collaborations in the Internet of Things

Yin, B., Yin, H., Wu, Y., & Jiang, Z. (2020) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 149

E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT

Poerner, N., Waltinger, U., & Schütze, H. (2019) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 149

Traffic flow estimation with data from a video surveillance camera

Fedorov, A., Nikolskaia, K., Ivanov, S., Shepelev, V., & Minbaleev, A. (2019) · Journal Of Big Data

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 149

How Can We Accelerate Progress Towards Human-like Linguistic Generalization?

Linzen, T. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 148

Feature reduction for neural network based text categorization

Lam, S. L. Y., & Lee, D. L. (2003) · Proceedings. 6th International Conference on Advanced Systems for Advanced Applications

Text and Document Classification TechnologiesTopic Modeling

Cited by 148

Engaging Low-Income African American Older Adults in Health Discussions through Community-based Design Workshops

Harrington, C. N., Borgos-Rodriguez, K., & Piper, A. M. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionTechnology Use by Older Adults

Cited by 148

Softermax: Hardware/Software Co-Design of an Efficient Softmax for Transformers

Stevens, J. R., Venkatesan, R., Dai, S., Khailany, B., & Raghunathan, A. (2021) · 2021 58th ACM/IEEE Design Automation Conference (DAC)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 148

Nonlinear multivariate and time series analysis by neural network methods

Hsieh, W. W. (2004) · Reviews of Geophysics

Neural Networks and ApplicationsStatistical Methods and Applications

Cited by 148

Beyond Goldfish Memory: Long-Term Open-Domain Conversation

Xu, J., Szlam, A., & Weston, J. (2021) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 148

A Decade of Research on the Use of Three-Dimensional Virtual Worlds in Health Care: A Systematic Literature Review

Ghanbarzadeh, R., Ghapanchi, A. H., Blumenstein, M., & Talaei-Khoei, A. (2014) · Journal of Medical Internet Research

Virtual Reality Applications and ImpactsSimulation-Based Education in Healthcare

Cited by 148

Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

Suh, S., Chen, M., Min, B., Li, T. J.-J., & Xia, H. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Digital Media and Visual ArtInnovative Human-Technology Interaction

Cited by 148

Detailed comparison of communication efficiency of split learning and federated learning

Singh, A., Vepakomma, P., Gupta, O., & Raskar, R. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 148

DroNet: Efficient convolutional neural network detector for real-time UAV applications

Kyrkou, C., Plastiras, G., Theocharides, T., Venieris, S. I., & Bouganis, C.-S. (2018) · 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 148

Topological data analysis of contagion maps for examining spreading processes on networks

Taylor, D., Klimm, F., Harrington, H. A., Kramár, M., Mischaikow, K., Porter, M. A., & Mucha, P. J. (2015) · Nature Communications

Topological and Geometric Data AnalysisComplex Network Analysis Techniques

Cited by 148