Neo Christopher Chung

29 papers A 2C 1Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2025 A conf
Explain and Monitor Deep Learning Models for Computer Vision using Obz AI.
CIKM
Neo Christopher Chung, Jakub Binda
2025 J jnl
Explain and Monitor Deep Learning Models for Computer Vision using Obz AI.
CoRR
Neo Christopher Chung, Jakub Binda
2025 A conf
Safeguarding Generative AI Applications in Preclinical Imaging through Hybrid Anomaly Detection.
CIKM
Jakub Binda, Valentina Paneta, Vasileios Eleftheriadis, Hongkyou Chung, Panagiotis G. Papadimitroulas, Neo Christopher Chung
2025 J jnl
Safeguarding Generative AI Applications in Preclinical Imaging through Hybrid Anomaly Detection.
CoRR
Jakub Binda, Valentina Paneta, Vasileios Eleftheriadis, Hongkyou Chung, Panagiotis G. Papadimitroulas, Neo Christopher Chung
2024 — ed.
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part I
ECAI Workshops (1)
Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024 — ed.
Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30 - October 4, 2023, Proceedings, Part II
ECAI Workshops (2)
Slawomir Nowaczyk, Przemyslaw Biecek, Neo Christopher Chung, Mauro Vallati, Pawel Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomás Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
2024 J jnl
Class-Discriminative Attention Maps for Vision Transformers.
Trans. Mach. Learn. Res.
Lennart Brocki, Jakub Binda, Neo Christopher Chung
2024 J jnl
False Sense of Security in Explainable Artificial Intelligence (XAI).
CoRR
Neo Christopher Chung, Hongkyou Chung, Hearim Lee, Hongbeom Chung, Lennart Brocki, George C. Dyer
2023 J jnl
Challenges of Large Language Models for Mental Health Counseling.
CoRR
Neo Christopher Chung, George C. Dyer, Lennart Brocki
2023 J jnl
Class-Discriminative Attention Maps for Vision Transformers.
CoRR
Lennart Brocki, Neo Christopher Chung
2023 — conf
Deep Learning Mental Health Dialogue System.
BigComp
Lennart Brocki, George C. Dyer, Anna Gladka, Neo Christopher Chung
2023 J jnl
Deep Learning Mental Health Dialogue System.
CoRR
Lennart Brocki, George C. Dyer, Anna Gladka, Neo Christopher Chung
2023 J jnl
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators.
CoRR
Lennart Brocki, Neo Christopher Chung
2023 J jnl
Feature perturbation augmentation for reliable evaluation of importance estimators in neural networks.
Pattern Recognit. Lett.
Lennart Brocki, Neo Christopher Chung
2023 — conf
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks.
Tiny Papers @ ICLR
Lennart Brocki, Neo Christopher Chung
2023 J jnl
Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models.
CoRR
Lennart Brocki, Neo Christopher Chung
2022 — conf
Evaluation of Importance Estimators in Deep Learning Classifiers for Computed Tomography.
EXTRAAMAS@AAMAS
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
2022 J jnl
Evaluation of Interpretability Methods and Perturbation Artifacts in Deep Neural Networks.
CoRR
Lennart Brocki, Neo Christopher Chung
2022 J jnl
Evaluation of importance estimators in deep learning classifiers for Computed Tomography.
CoRR
Lennart Brocki, Wistan Marchadour, Jonas Maison, Bogdan Badic, Panagiotis G. Papadimitroulas, Mathieu Hatt, Franck Vermet, Neo Christopher Chung
2021 J jnl
Human in the Loop for Machine Creativity.
CoRR
Neo Christopher Chung
2021 — conf
Input Bias in Rectified Gradients and Modified Saliency Maps.
BigComp
Lennart Brocki, Neo Christopher Chung
2020 J jnl
Removing Brightness Bias in Rectified Gradients.
CoRR
Lennart Brocki, Neo Christopher Chung
2020 J jnl
Statistical significance of cluster membership for unsupervised evaluation of cell identities.
Bioinform.
Neo Christopher Chung
2019 C conf
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models.
ICMLA
Lennart Brocki, Neo Christopher Chung
2019 J jnl
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models.
CoRR
Lennart Brocki, Neo Christopher Chung
2019 J jnl
Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data.
BMC Bioinform.
Neo Christopher Chung, Blazej Miasojedow, Michal Startek, Anna Gambin
2019 J jnl
Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA Sequencing Data.
J. Comput. Biol.
Krzysztof Gogolewski, Maciej Sykulski, Neo Christopher Chung, Anna Gambin
2018 — conf
Truncated Robust Principal Component Analysis and Noise Reduction for Single Cell RNA-seq Data.
ISBRA
Krzysztof Gogolewski, Maciej Sykulski, Neo Christopher Chung, Anna Gambin
2015 J jnl
Statistical significance of variables driving systematic variation in high-dimensional data.
Bioinform.
Neo Christopher Chung, John D. Storey