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Sebastian Daberdaku
Sebastian Daberdaku
Data Engineering Tech Lead @ Cardo AI
Verified email at cardoai.com
Title
Cited by
Cited by
Year
Antibody interface prediction with 3D Zernike descriptors and SVM
S Daberdaku, C Ferrari
Bioinformatics 35 (11), 1870-1876, 2019
742019
Exploring the potential of 3D Zernike descriptors and SVM for protein–protein interface prediction
S Daberdaku, C Ferrari
BMC Bioinformatics 19 (1), 35, 2018
552018
A Combined Interpolation and Weighted K-Nearest Neighbours Approach for the Imputation of Longitudinal ICU Laboratory Data
S Daberdaku, E Tavazzi, B Di Camillo
Journal of Healthcare Informatics Research 4 (2), 174-188, 2020
232020
Exploiting mutual information for the imputation of static and dynamic mixed-type clinical data with an adaptive k-nearest neighbours approach
E Tavazzi, S Daberdaku, R Vasta, A Calvo, A Chiò, B Di Camillo
BMC Medical Informatics and Decision Making 20 (Suppl 5), 174, 2020
212020
Computing voxelised representations of macromolecular surfaces: A parallel approach
S Daberdaku, C Ferrari
The International Journal of High Performance Computing Applications 32 (3 …, 2016
112016
Predicting functional impairment trajectories in amyotrophic lateral sclerosis: a probabilistic, multifactorial model of disease progression
E Tavazzi, S Daberdaku, A Zandonà, R Vasta, B Nefussy, C Lunetta, ...
Journal of neurology 269 (7), 3858-3878, 2022
102022
Computing discrete fine-grained representations of protein surfaces
S Daberdaku, C Ferrari
Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2016
102016
Interpolation and K-nearest neighbours combined imputation for longitudinal ICU laboratory data
S Daberdaku, E Tavazzi, B Di Camillo
2019 IEEE International Conference on Healthcare Informatics (ICHI), 1-3, 2019
82019
Hierarchical representation for PPI sites prediction
M Quadrini, S Daberdaku, C Ferrari
BMC bioinformatics 23 (1), 96, 2022
72022
Hierarchical representation and graph convolutional networks for the prediction of protein–protein interaction sites
M Quadrini, S Daberdaku, C Ferrari
Machine Learning, Optimization, and Data Science: 6th International …, 2020
62020
ProSPs: protein sites prediction based on sequence fragments
M Quadrini, M Cavallin, S Daberdaku, C Ferrari
International Conference on Machine Learning, Optimization, and Data Science …, 2021
42021
Parallel computation of voxelized macromolecular surfaces by spatial slicing
S Daberdaku, C Ferrari
2015 IEEE Trustcom/BigDataSE/ISPA 3, 184-189, 2015
42015
Stress Detection from Wearable Sensor Data Using Gramian Angular Fields and CNN
M Quadrini, S Daberdaku, A Blanda, A Capuccio, L Bellanova, G Gerard
International Conference on Discovery Science, 173-183, 2022
32022
Structure-based antibody paratope prediction with 3D Zernike descriptors and SVM
S Daberdaku
Computational Intelligence Methods for Bioinformatics and Biostatistics …, 2020
32020
Identification of protein pockets and cavities by Euclidean Distance Transform
S Daberdaku
13th Bioinformatics and Computational Biology Conference, 2018
32018
Parallel computation of voxelised protein surfaces with OpenMP
S Daberdaku
Proceedings of the 6th International Workshop on Parallelism in …, 2018
32018
Accelerating the computation of triangulated molecular surfaces with OpenMP
S Daberdaku
The Journal of Supercomputing 75 (7), 3426-3470, 2019
22019
A voxel-based tool for protein surface representation
S Daberdaku, C Ferrari
Twelfth international meeting on Computational Intelligence methods for …, 2015
22015
Functional impairment and survival prediction in Amyotrophic Lateral Sclerosis patients: a probabilistic model of disease progression
R Vasta, A Zandonà, S Daberdaku, E Tavazzi, B Nefussy, C Lunetta, ...
EUROPEAN JOURNAL OF NEUROLOGY 27, 172-172, 2020
12020
Functional impairment and survival prediction in Amyotrophic Lateral Sclerosis patients: a probabilistic model of disease progression
A Chiò, A Zandonà, S Daberdaku, R Vasta, B Nefussy, E Tavazzi, ...
AMYOTROPHIC LATERAL SCLEROSIS AND FRONTOTEMPORAL DEGENERATION 20, 2019
12019
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