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ORCIDSebastian Daberdaku
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2020 – today
- 2024
[j8]Michela Quadrini
, Antonino Capuccio, Denise Falcone, Sebastian Daberdaku, Alessandro Blanda, Luca Bellanova, Gianluca Gerard:
Stress detection with encoding physiological signals and convolutional neural network. Mach. Learn. 113(8): 5655-5683 (2024)- 2022
- [j7]Michela Quadrini, Sebastian Daberdaku, Carlo Ferrari:
Hierarchical representation for PPI sites prediction. BMC Bioinform. 23(1): 96 (2022) - [c9]Michela Quadrini, Sebastian Daberdaku, Alessandro Blanda, Antonino Capuccio, Luca Bellanova, Gianluca Gerard:
Stress Detection from Wearable Sensor Data Using Gramian Angular Fields and CNN. DS 2022: 173-183 - 2021
- [c8]Michela Quadrini, Massimo Cavallin, Sebastian Daberdaku, Carlo Ferrari:
ProSPs: Protein Sites Prediction Based on Sequence Fragments. LOD 2021: 568-580 - 2020
- [j6]Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo:
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data. J. Heal. Informatics Res. 4(2): 174-188 (2020) - [j5]Erica Tavazzi, Sebastian Daberdaku, Rosario Vasta, Andrea Calvo, Adriano Chiò, Barbara Di Camillo:
Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach. BMC Medical Informatics Decis. Mak. 20-S(5): 174 (2020) - [c7]Michela Quadrini, Sebastian Daberdaku, Carlo Ferrari:
Hierarchical Representation and Graph Convolutional Networks for the Prediction of Protein-Protein Interaction Sites. LOD (2) 2020: 409-420
2010 – 2019
- 2019
- [j4]Sebastian Daberdaku, Carlo Ferrari:
Antibody interface prediction with 3D Zernike descriptors and SVM. Bioinform. 35(11): 1870-1876 (2019) - [j3]Sebastian Daberdaku:
Accelerating the computation of triangulated molecular surfaces with OpenMP. J. Supercomput. 75(7): 3426-3470 (2019) - [c6]Sebastian Daberdaku, Erica Tavazzi, Barbara Di Camillo:
Interpolation and K-Nearest Neighbours Combined Imputation for Longitudinal ICU Laboratory Data. ICHI 2019: 1-3 - [e1]Giacomo Baruzzo, Sebastian Daberdaku, Barbara Di Camillo, Simone Furini, Emanuele Domenico Giordano, Giuseppe Nicosia:
IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Siena, Italy, July 9-11, 2019. IEEE 2019, ISBN 978-1-7281-1462-0 [contents] - [i2]Sebastian Daberdaku:
Identification of protein pockets and cavities by Euclidean Distance Transform. PeerJ Prepr. 7: e27314 (2019) - 2018
- [j2]Sebastian Daberdaku, Carlo Ferrari:
Exploring the potential of 3D Zernike descriptors and SVM for protein-protein interface prediction. BMC Bioinform. 19(1): 35:1-35:23 (2018) - [j1]Sebastian Daberdaku, Carlo Ferrari:
Computing voxelised representations of macromolecular surfaces. Int. J. High Perform. Comput. Appl. 32(3): 407-432 (2018) - [c5]Sebastian Daberdaku:
Structure-Based Antibody Paratope Prediction with 3D Zernike Descriptors and SVM. CIBB 2018: 27-49 - [c4]Sebastian Daberdaku, Carlo Ferrari:
Fast Computation of High-resolution Solvent Excluded Protein Surface with OpenMP. HPCS 2018: 789-796 - [c3]Sebastian Daberdaku:
Parallel Computation of Voxelised Protein Surfaces with OpenMP. PBio@EuroMPI 2018: 19-29 - [i1]Sebastian Daberdaku:
Identification of protein pockets and cavities by Euclidean Distance Transform. PeerJ Prepr. 6: e27314 (2018) - 2015
- [c2]Sebastian Daberdaku, Carlo Ferrari:
Computing Discrete Fine-Grained Representations of Protein Surfaces. CIBB 2015: 180-195 - [c1]Sebastian Daberdaku, Carlo Ferrari:
Parallel Computation of Voxelized Macromolecular Surfaces by Spatial Slicing. TrustCom/BigDataSE/ISPA (3) 2015: 184-189
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