Neo Christopher Chung

29 papers A 2C 1Journal 19Unranked 5

Year	Rank	Type	Title / 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