Chaofan Chen
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Multim. Tools Appl., November, 2024
Inf. Sci., 2024
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers.
CoRR, 2024
Semi-supervised Online Elastic Stochastic Configuration Network to Deal with Concept Drift and Class Imbalance in Data Streams.
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the 5th International Conference on Machine Learning and Computer Application, 2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
IEEE Trans. Image Process., 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A user interface to communicate interpretable AI decisions to radiologists (Erratum).
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Fine-grained Primitive Representation Learning for Compositional Zero-shot Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations.
Decis. Support Syst., 2022
medna-metadata: an open-source data management system for tracking environmental DNA samples and metadata.
Bioinform., 2022
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Interpretable deep learning models for better clinician-AI communication in clinical mammography.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Proceedings of the International Conference on Asian Language Processing, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Multim., 2021
A Joint Model for Representation Learning of Tibetan Knowledge Graph Based on Encyclopedia.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021
A case-based interpretable deep learning model for classification of mass lesions in digital mammography.
Nat. Mach. Intell., 2021
IEEE Commun. Lett., 2021
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.
CoRR, 2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography.
CoRR, 2021
CoRR, 2021
Sci. China Inf. Sci., 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
PhD thesis, 2020
AR-Net: Adaptive Attention and Residual Refinement Network for Copy-Move Forgery Detection.
IEEE Trans. Ind. Informatics, 2020
Consensus Continuous-Discrete Gaussian Filtering Using Fully Symmetric Interpolatory Quadrature.
IEEE Access, 2020
IEEE Access, 2020
Proceedings of the 19th IEEE International Conference on Trust, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
IEICE Electron. Express, 2019
Improved Distant Supervised Model in Tibetan Relation Extraction Using ELMo and Attention.
IEEE Access, 2019
QuGAN: Quasi Generative Adversarial Network for Tibetan Question Answering Corpus Generation.
IEEE Access, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 19th IEEE International Conference on Communication Technology, 2019
Proceedings of the Seventh AAAI Conference on Human Computation and Crowdsourcing, 2019
2018
CoRR, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Proceedings of the Parallel Architecture, Algorithm and Programming, 2017
Proceedings of the Parallel Architecture, Algorithm and Programming, 2017