Miha Skalic

According to our database, Miha Skalic authored at least 9 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Benchmarking Molecular Feature Attribution Methods with Activity Cliffs.

José Jiménez-Luna, Miha Skalic, Nils Weskamp

J. Chem. Inf. Model., 2022

2021

Coloring Molecules with Explainable Artificial Intelligence for Preclinical Relevance Assessment.

José Jiménez-Luna, Miha Skalic, Nils Weskamp, Gisbert Schneider

J. Chem. Inf. Model., 2021

2019

Shape-Based Generative Modeling for de Novo Drug Design.

Miha Skalic, José Jiménez, Davide Sabbadin, Gianni De Fabritiis

J. Chem. Inf. Model., 2019

Learning to Localize Temporal Events in Large-scale Video Data.

Mikel Bober-Irizar, Miha Skalic, David Austin

CoRR, 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

PlayMolecule BindScope: large scale CNN-based virtual screening on the web.

Miha Skalic, Gerard Martínez-Rosell, José Jiménez, Gianni De Fabritiis

Bioinform., 2019

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

Building A Size Constrained Predictive Models for Video Classification.

Miha Skalic, David Austin

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Deep Learning Methods for Efficient Large Scale Video Labeling.

Miha Skalic, Marcin Pekalski, Xingguo E. Pan

CoRR, 2017