Deep Learning Methods for Efficient Large Scale Video Labeling. - Miha Skalic; Marcin Pekalski; Xingguo E. Pan (CoRR, 2017)

Building A Size Constrained Predictive Models for Video Classification. - Miha Skalic; David Austin (ECCV Workshops (4), 2018)

KDEEP: Protein-Ligand Absolute Binding Affinity Prediction via 3D-Convolutional Neural Networks. - José Jiménez; Miha Skalic; Gerard Martínez-Rosell; Gianni De Fabritiis (J. Chem. Inf. Model., 2018)

PlayMolecule BindScope: large scale CNN-based virtual screening on the web. - Miha Skalic; Gerard Martínez-Rosell; José Jiménez; Gianni De Fabritiis (Bioinform., 2019)

LigVoxel: inpainting binding pockets using 3D-convolutional neural networks. - Miha Skalic; Alejandro Varela-Rial; José Jiménez; Gerard Martínez-Rosell; Gianni De Fabritiis (Bioinform., 2019)

Learning to Localize Temporal Events in Large-scale Video Data. - Mikel Bober-Irizar; Miha Skalic; David Austin (CoRR, 2019)

Shape-Based Generative Modeling for de Novo Drug Design. - Miha Skalic; José Jiménez; Davide Sabbadin; Gianni De Fabritiis (J. Chem. Inf. Model., 2019)

Coloring Molecules with Explainable Artificial Intelligence for Preclinical Relevance Assessment. - José Jiménez-Luna; Miha Skalic; Nils Weskamp; Gisbert Schneider (J. Chem. Inf. Model., 2021)

Benchmarking Molecular Feature Attribution Methods with Activity Cliffs. - José Jiménez-Luna; Miha Skalic; Nils Weskamp (J. Chem. Inf. Model., 2022)