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2020 – today
- 2022
[j6]José Jiménez-Luna
, Miha Skalic, Nils Weskamp:
Benchmarking Molecular Feature Attribution Methods with Activity Cliffs. J. Chem. Inf. Model. 62(2): 274-283 (2022)- 2021
- [j5]José Jiménez-Luna, Miha Skalic, Nils Weskamp, Gisbert Schneider:
Coloring Molecules with Explainable Artificial Intelligence for Preclinical Relevance Assessment. J. Chem. Inf. Model. 61(3): 1083-1094 (2021)
2010 – 2019
- 2019
- [j4]Miha Skalic, Alejandro Varela-Rial, José Jiménez, Gerard Martínez-Rosell, Gianni De Fabritiis:
LigVoxel: inpainting binding pockets using 3D-convolutional neural networks. Bioinform. 35(2): 243-250 (2019) - [j3]Miha Skalic, Gerard Martínez-Rosell, José Jiménez, Gianni De Fabritiis:
PlayMolecule BindScope: large scale CNN-based virtual screening on the web. Bioinform. 35(7): 1237-1238 (2019) - [j2]Miha Skalic, José Jiménez, Davide Sabbadin, Gianni De Fabritiis:
Shape-Based Generative Modeling for de Novo Drug Design. J. Chem. Inf. Model. 59(3): 1205-1214 (2019) - [i2]Mikel Bober-Irizar, Miha Skalic, David Austin:
Learning to Localize Temporal Events in Large-scale Video Data. CoRR abs/1910.11631 (2019) - 2018
- [j1]José Jiménez, Miha Skalic, Gerard Martínez-Rosell, Gianni De Fabritiis:
KDEEP: Protein-Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks. J. Chem. Inf. Model. 58(2): 287-296 (2018) - [c1]Miha Skalic, David Austin:
Building A Size Constrained Predictive Models for Video Classification. ECCV Workshops (4) 2018: 297-305 - 2017
- [i1]Miha Skalic, Marcin Pekalski, Xingguo E. Pan:
Deep Learning Methods for Efficient Large Scale Video Labeling. CoRR abs/1706.04572 (2017)
Coauthor Index
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