Filip Miljkovic

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Active Learning

Hierarchical Clustering

Domain Adaptation

Convolutional Neural Networks

Top Venues

J. Comput. Aided Mol. Des.

J. Cheminformatics

Nat. Mac. Intell.

Publications

Ya Chen, Thomas Seidel, Roxane Axel Jacob, Steffen Hirte, Angelica Mazzolari, Alessandro Pedretti, Giulio Vistoli, Thierry Langer, Filip Miljkovic, Johannes Kirchmair
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. J. Chem. Inf. Model. 64 (2) (2024)
Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu
Interpretable bilinear attention network with domain adaptation improves drug-target prediction. Nat. Mac. Intell. 5 (2) (2023)
Andrés Martínez Mora, Vigneshwari Subramanian, Filip Miljkovic
Multi-task convolutional neural networks for predicting in vitro clearance endpoints from molecular images. J. Comput. Aided Mol. Des. 36 (6) (2022)
Peizhen Bai, Filip Miljkovic, Bino John, Haiping Lu
Interpretable bilinear attention network with domain adaptation improves drug-target prediction. CoRR (2022)
Peizhen Bai, Filip Miljkovic, Yan Ge, Nigel Greene, Bino John, Haiping Lu
Hierarchical Clustering Split for Low-Bias Evaluation of Drug-Target Interaction Prediction. BIBM (2021)
Filip Miljkovic, Jürgen Bajorath
Data structures for computational compound promiscuity analysis and exemplary applications to inhibitors of the human kinome. J. Comput. Aided Mol. Des. 34 (1) (2020)
Raquel Rodríguez-Pérez, Filip Miljkovic, Jürgen Bajorath
Assessing the information content of structural and protein-ligand interaction representations for the classification of kinase inhibitor binding modes via machine learning and active learning. J. Cheminformatics 12 (1) (2020)
Filip Miljkovic, Martin Vogt, Jürgen Bajorath
Systematic computational identification of promiscuity cliff pathways formed by inhibitors of the human kinome. J. Comput. Aided Mol. Des. 33 (6) (2019)