VANDIN, FABIO

VANDIN, FABIO  

Dipartimento di Ingegneria dell'Informazione - DEI  

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Titolo Data di pubblicazione Autori Rivista Serie Titolo libro
Efficient Mining of the Most Significant Patterns with Permutation Testing In corso di stampa L. PellegrinaF. Vandin - - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
ALLSTAR: inference of reliAble causaL ruLes between Somatic muTAtions and canceR phenotypes 2024 Simionato, DarioCollesei, AntonioMiglietta, FedericaVandin, Fabio BIOINFORMATICS - -
Bounding the family-wise error rate in local causal discovery using Rademacher averages 2024 Simionato, DarioVandin, Fabio DATA MINING AND KNOWLEDGE DISCOVERY - -
Efficient Discovery of Significant Patterns with Few-Shot Resampling 2024 Pellegrina, LeonardoVandin, Fabio PROCEEDINGS OF THE VLDB ENDOWMENT - -
Fast and Accurate Triangle Counting in Graph Streams Using Predictions 2024 Boldrin, CristianVandin, Fabio - - Proceedings - IEEE International Conference on Data Mining (ICDM)
Scalable Rule Lists Learning with Sampling 2024 Pellegrina, LeonardoVandin, Fabio - - KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Scalable Temporal Motif Densest Subnetwork Discovery 2024 Vandin, Fabio + - - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract) 2023 Simionato D.Vandin F. IJCAI - IJCAI International Joint Conference on Artificial Intelligence
caSPiTa: mining statistically significant paths in time series data from an unknown network 2023 Tonon A.Vandin F. KNOWLEDGE AND INFORMATION SYSTEMS - -
SILVAN: Estimating Betweenness Centralities with Progressive Sampling and Non-uniform Rademacher Bounds 2023 Pellegrina, LeonardoVandin, Fabio ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA - -
VC-dimension and Rademacher Averages of Subgraphs, with Applications to Graph Mining 2023 Vandin F. + - PROCEEDINGS - INTERNATIONAL CONFERENCE ON DATA ENGINEERING Proceedings of the International Conference on Data Engineering
Bounding the Family-Wise Error Rate in Local Causal Discovery using Rademacher Averages 2022 Dario SimionatoFabio Vandin - - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD (conference book)
Discovering significant evolutionary trajectories in cancer phylogenies 2022 Pellegrina, LeonardoVandin, Fabio BIOINFORMATICS - -
Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach 2022 Buffelli, DVandin, F - PROCEEDINGS OF ... INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2022 International Joint Conference on Neural Networks (IJCNN)
gRosSo: mining statistically robust patterns from a sequence of datasets 2022 Tonon, AVandin, F KNOWLEDGE AND INFORMATION SYSTEMS - -
MCRapper: Monte-Carlo Rademacher Averages for Poset Families and Approximate Pattern Mining 2022 Pellegrina, LeonardoVandin, Fabio + ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA - -
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks 2022 Davide BuffelliFabio Vandin + - - Proceedings of 36th Conference on Neural Information Processing Systems (NeurIPS 2022)
SPRISS: Approximating Frequent K-mers by Sampling Reads, and Applications 2022 Santoro, DiegoPellegrina, LeonardoComin, MatteoVandin, Fabio BIOINFORMATICS - -
Technical Perspective - Evaluating Sampled Metrics Is Challenging 2022 Vandin, F COMMUNICATIONS OF THE ACM - -
The Impact of Global Structural Information in Graph Neural Networks Applications 2022 Buffelli D.Vandin F. DATA - -