Neo Christopher Chung

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Generative Model

Top Venues

EXTRAAMAS@AAMAS

Publications

Neo Christopher Chung, Hongkyou Chung, Hearim Lee, Hongbeom Chung, Lennart Brocki, George C. Dyer
False Sense of Security in Explainable Artificial Intelligence (XAI). CoRR (2024)
Lennart Brocki, George C. Dyer, Anna Gladka, Neo Christopher Chung
Deep Learning Mental Health Dialogue System. BigComp (2023)
Lennart Brocki, Neo Christopher Chung
Class-Discriminative Attention Maps for Vision Transformers. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks. Tiny Papers @ ICLR (2023)
Lennart Brocki, George C. Dyer, Anna Gladka, Neo Christopher Chung
Deep Learning Mental Health Dialogue System. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Feature perturbation augmentation for reliable evaluation of importance estimators in neural networks. Pattern Recognit. Lett. 176 (2023)
Neo Christopher Chung, George C. Dyer, Lennart Brocki
Challenges of Large Language Models for Mental Health Counseling. CoRR (2023)
Lennart Brocki, Neo Christopher Chung
Evaluation of Interpretability Methods and Perturbation Artifacts in Deep Neural Networks. CoRR (2022)
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography. EXTRAAMAS@AAMAS (2022)
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
Evaluation of importance estimators in deep learning classifiers for Computed Tomography. CoRR (2022)
Lennart Brocki, Neo Christopher Chung
Input Bias in Rectified Gradients and Modified Saliency Maps. BigComp (2021)
Neo Christopher Chung
Human in the Loop for Machine Creativity. CoRR (2021)
Neo Christopher Chung
Statistical significance of cluster membership for unsupervised evaluation of cell identities. Bioinform. 36 (10) (2020)
Lennart Brocki, Neo Christopher Chung
Removing Brightness Bias in Rectified Gradients. CoRR (2020)
Neo Christopher Chung, Blazej Miasojedow, Michal Startek, Anna Gambin
Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data. BMC Bioinform. (15) (2019)
Krzysztof Gogolewski, Maciej Sykulski, Neo Christopher Chung, Anna Gambin
Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA Sequencing Data. J. Comput. Biol. 26 (8) (2019)
Lennart Brocki, Neo Christopher Chung
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models. ICMLA (2019)
Lennart Brocki, Neo Christopher Chung
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models. CoRR (2019)
Krzysztof Gogolewski, Maciej Sykulski, Neo Christopher Chung, Anna Gambin
Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA-seq Data. ISBRA (2018)
Neo Christopher Chung, John D. Storey
Statistical significance of variables driving systematic variation in high-dimensional data. Bioinform. 31 (4) (2015)