A computer-vision based application for student behavior monitoring in classroom B Ngoc Anh, N Tung Son, P Truong Lam, L Phuong Chi, N Huu Tuan, ... Applied Sciences 9 (22), 4729, 2019 | 89 | 2019 |
On filter size in graph convolutional networks DV Tran, N Navarin, A Sperduti 2018 ieee symposium series on computational intelligence (ssci), 1534-1541, 2018 | 78 | 2018 |
Universal Readout for Graph Convolutional Neural Networks N Navarin, DV Tran, A Sperduti International Joint Conference on Neural Networks (IJCNN), 2019 | 49 | 2019 |
A hybrid access control model with dynamic COI for secure localization of satellite and IoT-based vehicles MU Aftab, Y Munir, A Oluwasanmi, Z Qin, MH Aziz, NT Son IEEE Access 8, 24196-24208, 2020 | 36 | 2020 |
Pre-training graph neural networks with kernels N Navarin, DV Tran, A Sperduti arXiv preprint arXiv:1811.06930, 2018 | 32 | 2018 |
Permission-based separation of duty in dynamic role-based access control model MU Aftab, Z Qin, NW Hundera, O Ariyo, Zakria, NT Son, TV Dinh Symmetry 11 (5), 669, 2019 | 29 | 2019 |
CRISPRloci: comprehensive and accurate annotation of CRISPR–Cas systems OS Alkhnbashi, A Mitrofanov, R Bonidia, M Raden, VD Tran, ... Nucleic Acids Research 49 (W1), W125-W130, 2021 | 27 | 2021 |
Scuba: scalable kernel-based gene prioritization G Zampieri, DV Tran, M Donini, N Navarin, F Aiolli, A Sperduti, G Valle BMC bioinformatics 19, 1-12, 2018 | 26 | 2018 |
Survey of hyperledger blockchain frameworks: case study in fpt university's cryptocurrency wallets TQ Ban, BN Anh, NT Son, T Van Dinh Proceedings of the 2019 8th International Conference on Software and …, 2019 | 21 | 2019 |
Vector map random encryption algorithm based on multi-scale simplification and Gaussian distribution GN Pham, ST Ngo, AN Bui, DV Tran, SH Lee, KR Kwon Applied Sciences 9 (22), 4889, 2019 | 19 | 2019 |
Heterogeneous networks integration for disease–gene prioritization with node kernels VD Tran, A Sperduti, R Backofen, F Costa Bioinformatics 36 (9), 2649-2656, 2020 | 17 | 2020 |
Learning Kernel-based Embeddings in Graph Neural Networks N Navarin, D Van Tran, A Sperduti ECAI, 2020 | 15 | 2020 |
Improving CLIP-seq data analysis by incorporating transcript information M Uhl, VD Tran, R Backofen BMC genomics 21, 1-8, 2020 | 12 | 2020 |
RNAProt: an efficient and feature-rich RNA binding protein binding site predictor M Uhl, VD Tran, F Heyl, R Backofen GigaScience 10 (8), giab054, 2021 | 11 | 2021 |
Covid-19 disease simulation using GAMA platform TQ Ban, PL Duong, NH Son, T Van Dinh 2020 international conference on computational intelligence (ICCI), 246-251, 2020 | 10 | 2020 |
GraphProt2: A novel deep learning-based method for predicting binding sites of RNA-binding proteins M Uhl, VD Tran, F Heyl, R Backofen BioRxiv, 850024, 2019 | 10 | 2019 |
Casboundary: automated definition of integral Cas cassettes VA Padilha, OS Alkhnbashi, VD Tran, SA Shah, AC Carvalho, R Backofen Bioinformatics 37 (10), 1352-1359, 2021 | 9 | 2021 |
Negative authorization by implementing negative attributes in attribute-based access control model for internet of medical things MU Aftab, Z Qin, K Hussain, Z Jamali, NT Son, N Van Nam, T Van Dinh 2019 15th International Conference on Semantics, Knowledge and Grids (SKG …, 2019 | 7 | 2019 |
GraphProt2: A novel deep learning-based method for predicting binding sites of RNA-binding proteins. bioRxiv M Uhl, F Heyl, R Backofen Preprint]. doi 10, 850024, 2019 | 6 | 2019 |
The conjunctive disjunctive graph node kernel for disease gene prioritization DT Van, A Sperduti, F Costa Neurocomputing 298, 90-99, 2018 | 6 | 2018 |