| On quantitative aspects of model interpretability A Nguyen, MR Martínez arXiv preprint arXiv:2007.07584, 2020 | 129 | 2020 |
| Mononet: towards interpretable models by learning monotonic features A Nguyen, MR Martínez arXiv preprint arXiv:1909.13611, 2019 | 22 | 2019 |
| Pan-cancer analysis of somatic mutations and epigenetic alterations in insulated neighbourhood boundaries P Pinoli, E Stamoulakatou, AP Nguyen, M Rodríguez Martínez, S Ceri PloS one 15 (1), e0227180, 2020 | 16 | 2020 |
| Patient risk assessment and warning symptom detection using deep attention-based neural networks I Girardi, P Ji, A Nguyen, N Hollenstein, A Ivankay, L Kuhn, C Marchiori, ... arXiv preprint arXiv:1809.10804, 2018 | 15 | 2018 |
| MonoNet: enhancing interpretability in neural networks via monotonic features AP Nguyen, DL Moreno, N Le-Bel, M Rodríguez Martínez Bioinformatics advances 3 (1), vbad016, 2023 | 14 | 2023 |
| edgnn: a simple and powerful GNN for directed labeled graphs G Jaume, A Nguyen, MR Martínez, JP Thiran, M Gabrani arXiv preprint arXiv:1904.08745, 2019 | 14 | 2019 |
| On quantitative aspects of model interpretability (2020) A Nguyen, MR Martínez URL https://arxiv. org/abs, 2007 | 13 | 2007 |
| DECODE: a computational pipeline to discover T cell receptor binding rules I Papadopoulou, AP Nguyen, A Weber, MR Martínez Bioinformatics 38 (Supplement_1), i246-i254, 2022 | 9 | 2022 |
| Concept discovery and dataset exploration with singular value decomposition M Graziani, A Nguyen, L O’Mahony, H Müller, V Andrearczyk ICLR 2023 Workshop on Pitfalls of limited data and computation for …, 2023 | 7 | 2023 |
| Uncovering unique concept vectors through latent space decomposition M Graziani, LO Mahony, AP Nguyen, H Müller, V Andrearczyk arXiv preprint arXiv:2307.06913, 2023 | 6 | 2023 |
| FLAN: feature-wise latent additive neural models for biological applications AP Nguyen, S Vasilaki, MR Martínez Briefings in Bioinformatics 24 (3), bbad056, 2023 | 5 | 2023 |
| It's FLAN time! Summing feature-wise latent representations for interpretability A Nguyen, MR Martínez arXiv preprint arXiv:2106.10086, 2021 | 2 | 2021 |
| Learning invariances for interpretability using supervised vae A Nguyen, MR Martínez arXiv preprint arXiv:2007.07591, 2020 | 2 | 2020 |
| Identification of single-cell blasts in pediatric acute myeloid leukemia using an autoencoder A Driessen, S Unger, A Nguyen, RE Ries, S Meshinchi, S Kreutmair, ... Life Science Alliance 7 (11), 2024 | 1 | 2024 |
| Single-cell map of childhood acute myeloid leukaemia using variational auto-encoders A Driessen, S Unger, A Nguyen, S Kreutmair, C Alberti, A Sethi, R Aplenc, ... Blood 140 (Supplement 1), 2265-2266, 2022 | 1 | 2022 |
| Identifying the Potential Mechanism of Action of SNPs Associated With Breast Cancer Susceptibility With GVITamIN A Nguyen, P Nicoletti, D Arnol, A Califano, M Rodríguez Martínez Frontiers in bioengineering and biotechnology 8, 798, 2020 | 1 | 2020 |
| Detecting Blasts with Single Cell Resolution in Acute Myeloid Leukaemia using an Auto-Encoder A Driessen, S Unger, AP Nguyen, B Becher, MR Martinez Conference on Intelligent Systems for Molecular Biology, 2023 | | 2023 |
| Learning a single-cell map of Acute Myeloid Leukaemia with auto-encoders A Driessen, S Unger, AP Nguyen, M Rapsomaniki, B Becher, ... Conference on Intelligent Systems for Molecular Biology, 2022 | | 2022 |
| Interpretable Machine Learning: Definitions, methods and applications to computational biology A Nguyen ETH Zurich, 2022 | | 2022 |
María Rodríguez Martínez (ORCID: 00...IBM Research - ZürichVerified email at zurich.ibm.com
