Sebastian Daberdaku

According to our database, Sebastian Daberdaku authored at least 17 papers between 2015 and 2022.

Collaborative distances:

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

2022

Hierarchical representation for PPI sites prediction.

Michela Quadrini, Sebastian Daberdaku, Carlo Ferrari

BMC Bioinform., 2022

Stress Detection from Wearable Sensor Data Using Gramian Angular Fields and CNN.

Michela Quadrini, Sebastian Daberdaku, Alessandro Blanda, Antonino Capuccio, Luca Bellanova, Gianluca Gerard

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

ProSPs: Protein Sites Prediction Based on Sequence Fragments.

Michela Quadrini, Massimo Cavallin, Sebastian Daberdaku, Carlo Ferrari

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020

Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach.

Erica Tavazzi, Sebastian Daberdaku, Rosario Vasta, Andrea Calvo, Adriano Chiò, Barbara Di Camillo

BMC Medical Informatics Decis. Mak., 2020

A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data.

Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo

J. Heal. Informatics Res., 2020

Hierarchical Representation and Graph Convolutional Networks for the Prediction of Protein-Protein Interaction Sites.

Michela Quadrini, Sebastian Daberdaku, Carlo Ferrari

Proceedings of the Machine Learning, Optimization, and Data Science, 2020

2019

Accelerating the computation of triangulated molecular surfaces with OpenMP.

Sebastian Daberdaku

J. Supercomput., 2019

Antibody interface prediction with 3D Zernike descriptors and SVM.

Sebastian Daberdaku, Carlo Ferrari

Bioinform., 2019

Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data.

Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

Identification of protein pockets and cavities by Euclidean Distance Transform.

Sebastian Daberdaku

PeerJ Prepr., 2018

Computing voxelised representations of macromolecular surfaces.

Sebastian Daberdaku, Carlo Ferrari

Int. J. High Perform. Comput. Appl., 2018

Exploring the potential of 3D Zernike descriptors and SVM for protein-protein interface prediction.

Sebastian Daberdaku, Carlo Ferrari

BMC Bioinform., 2018

Parallel Computation of Voxelised Protein Surfaces with OpenMP.

Sebastian Daberdaku

Proceedings of the 6th International Workshop on Parallelism in Bioinformatics, 2018

Fast Computation of High-resolution Solvent Excluded Protein Surface with OpenMP.

Sebastian Daberdaku, Carlo Ferrari

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Structure-Based Antibody Paratope Prediction with 3D Zernike Descriptors and SVM.

Sebastian Daberdaku

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

2015

Parallel Computation of Voxelized Macromolecular Surfaces by Spatial Slicing.

Sebastian Daberdaku, Carlo Ferrari

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Computing Discrete Fine-Grained Representations of Protein Surfaces.

Sebastian Daberdaku, Carlo Ferrari

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2015