| Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization P Papadimitroulas, L Brocki, NC Chung, W Marchadour, F Vermet, ... Physica Medica 83, 108-121, 2021 | 137 | 2021 |
| Concept saliency maps to visualize relevant features in deep generative models L Brocki, NC Chung 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 21 | 2019 |
| Deep learning mental health dialogue system L Brocki, GC Dyer, A Gładka, NC Chung 2023 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2023 | 16 | 2023 |
| Challenges of large language models for mental health counseling NC Chung, G Dyer, L Brocki arXiv preprint arXiv:2311.13857, 2023 | 15 | 2023 |
| κ-deformed BMS symmetry A Borowiec, L Brocki, J Kowalski-Glikman, J Unger Physics Letters B 790, 415-420, 2019 | 14 | 2019 |
| BMS algebras in 4 and 3 dimensions, their quantum deformations and duals A Borowiec, L Brocki, J Kowalski-Glikman, J Unger Journal of High Energy Physics 2021 (2), 1-31, 2021 | 12 | 2021 |
| Evaluation of interpretability methods and perturbation artifacts in deep neural networks L Brocki, NC Chung arXiv preprint arXiv:2203.02928, 2022 | 8 | 2022 |
| Feature perturbation augmentation for reliable evaluation of importance estimators in neural networks L Brocki, NC Chung Pattern Recognition Letters 176, 131-139, 2023 | 6 | 2023 |
| Quantum ergosphere and brick wall entropy M Arzano, L Brocki, J Kowalski-Glikman, M Letizia, J Unger Physics Letters B 797, 134887, 2019 | 4 | 2019 |
| Integration of Radiomics and Tumor Biomarkers in Interpretable Machine Learning Models L Brocki, NC Chung Cancers 15 (9), 2459, 2023 | 3 | 2023 |
| Evaluation of importance estimators in deep learning classifiers for Computed Tomography L Brocki, W Marchadour, J Maison, B Badic, P Papadimitroulas, M Hatt, ... International Workshop on Explainable, Transparent Autonomous Agents and …, 2022 | 3 | 2022 |
| Fidelity of interpretability methods and perturbation artifacts in neural networks L Brocki, NC Chung arXiv preprint arXiv:2203.02928, 2022 | 3 | 2022 |
| On symmetries and charges at spatial infinity L Brocki, J Kowalski-Glikman arXiv preprint arXiv:2109.06642, 2021 | 3 | 2021 |
| Input bias in rectified gradients and modified saliency maps L Brocki, NC Chung 2021 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2021 | 3* | 2021 |
| False Sense of Security in Explainable Artificial Intelligence (XAI) NC Chung, H Chung, H Lee, H Chung, L Brocki, G Dyer arXiv preprint arXiv:2405.03820, 2024 | 1 | 2024 |
| Class-Discriminative Attention Maps for Vision Transformers L Brocki, NC Chung arXiv preprint arXiv:2312.02364, 2023 | 1 | 2023 |
| Interactive web application for Explainable DNN-based AI models in oncology V Paneta, L Brocki, V Eleftheriadis, P Papadimitroulas, NC Chung 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and …, 2023 | 1 | 2023 |
| Quantum Ergosphere and Brick Wall Entropy L Brocki, M Arzano, J Kowalski-Glikman, M Letizia, J Unger Einstein Equations: Local Energy, Self-Force, and Fields in General …, 2023 | | 2023 |
| Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators L Brocki, NC Chung ICLR 2023 Workshop on Pitfalls of limited data and computation for …, 2023 | | 2023 |
| ASPECTS OF BMS SYMMETRY L BROCKI INSTITUTE FOR THEORETICAL PHYSICS, 2021 | | 2021 |
Neo Christopher ChungUniversity of WarsawAdresse e-mail validée de princeton.edu
