VANDIN, FABIO
VANDIN, FABIO
Dipartimento di Ingegneria dell'Informazione - DEI
ALLSTAR: inference of reliAble causaL ruLes between Somatic muTAtions and canceR phenotypes
2024 Simionato, Dario; Collesei, Antonio; Miglietta, Federica; Vandin, Fabio
Bounding the family-wise error rate in local causal discovery using Rademacher averages
2024 Simionato, Dario; Vandin, Fabio
Efficient Discovery of Significant Patterns with Few-Shot Resampling
2024 Pellegrina, Leonardo; Vandin, Fabio
caSPiTa: mining statistically significant paths in time series data from an unknown network
2023 Tonon, A.; Vandin, F.
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds
2023 Pellegrina, Leonardo; Vandin, Fabio
Discovering significant evolutionary trajectories in cancer phylogenies
2022 Pellegrina, Leonardo; Vandin, Fabio
gRosSo: mining statistically robust patterns from a sequence of datasets
2022 Tonon, A; Vandin, F
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining
2022 Pellegrina, Leonardo; Cousins, Cyrus; Vandin, Fabio; Riondato, Matteo
SPRISS: Approximating Frequent K-mers by Sampling Reads, and Applications
2022 Santoro, Diego; Pellegrina, Leonardo; Comin, Matteo; Vandin, Fabio
Technical Perspective - Evaluating Sampled Metrics Is Challenging
2022 Vandin, F
The Impact of Global Structural Information in Graph Neural Networks Applications
2022 Buffelli, D.; Vandin, F.
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation
2021 Buffelli, D.; Vandin, F.
Comparison of microbiome samples: methods and computational challenges
2021 Comin, Matteo; Di Camillo, Barbara; Pizzi, Cinzia; Vandin, Fabio
Efficient mining of the most significant patterns with permutation testing
2020 Pellegrina, L.; Vandin, F.
Fast Approximation of Frequent k-Mers and Applications to Metagenomics
2020 Pellegrina, Leonardo; Pizzi, Cinzia; Vandin, Fabio
Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data
2020 Tanevski, Jovan; Nguyen, Thin; Truong, Buu; Karaiskos, Nikos; Eren Ahsen, Mehmet; Zhang, Xinyu; Shu, Chang; Xu, Ke; Liang, Xiaoyu; Hu, Ying; VV Pham, Hoang; Xiaomei, Li; D Le, Thuc; L Tarca, Adi; Bhatti, Gaurav; Romero, Roberto; Karathanasis, Nestoras; Loher, Phillipe; Chen, Yang; Ouyang, Zhengqing; Mao, Disheng; Zhang, Yuping; Zand, Maryam; Ruan, Jianhua; Hafemeister, Christoph; Qiu, Peng; Tran, Duc; Nguyen, Tin; Gabor, Attila; Yu, Thomas; Guinney, Justin; Glaab, Enrico; Krause, Roland; Banda, Peter; SCTC Consortium, Dream; Baruzzo, Giacomo; Cappellato, Marco; Zorzan, Irene; DEL FAVERO, Simone; Schenato, Luca; Vandin, Fabio; DI CAMILLO, Barbara; Gupta, Shruti; Kumar Verma, Ajay; Ahmad, Shandar; Sharma, Ronesh; Vans, Edwin; Sharma, Alok; Patil, Ashwini; Carrea, Alejandra; Alonso, Andres M.; Diambra, Luis; Narsapuram, Vijay; Kaikala, Vinay; Potnuru, Chaitanyam; Kumar, Sunil; Peng, Jiajie; Wang, Xiaoyu; Shang, Xuequn; Livne, Dani; Snir, Tom; Philip, Hagit; Zilberberg, Alona; Efroni, Sol; Reza Hassanzadeh, Hamid; Hassanzadeh, Reihaneh; Jahanshahi, Ghazal; Naddaf-Sh, M-Mahdi; Drayer, Phillip M.; Naddaf-Sh, Sadra; Ben Guebila, Marouen; Wan, Changlin; Cao, Yuchen; Meamardoost, Saber; Papili Gao, Nan; Gunawan, Rudiyanto; Stolovitzky, Gustavo; Rajewsky, Nikolaus; Saez-Rodriguez, Julio; Meyer, Pablo
Identifying Drug Sensitivity Subnetworks with NETPHIX
2020 Kim, Yoo-Ah; Sarto Basso, Rebecca; Wojtowicz, Damian; Liu, Amanda S.; Hochbaum, Dorit S.; Vandin, Fabio; Przytycka, Teresa M.
Mining sequential patterns with VC-dimension and rademacher complexity
2020 Santoro, D.; Tonon, A.; Vandin, F.
MiSoSouP: Mining Interesting Subgroups with Sampling and Pseudodimension
2020 Riondato, Matteo; Vandin, Fabio
Network-based approaches elucidate differences within APOBEC and clock-like signatures in breast cancer
2020 Kim, Y. -A.; Wojtowicz, D.; Sarto Basso, R.; Sason, I.; Robinson, W.; Hochbaum, D. S.; Leiserson, M. D. M.; Sharan, R.; Vandin, F.; Przytycka, T. M.