PALLADIO: a parallel framework for robust variable selection in high-dimensional data

Annalisa Barla , Matteo Barbieri , Samuele Fiorini , Federico Tomasi
Proceedings of the 6th Workshop on Python for High-Performance and Scientific Computing 19 -26

2
2016
Forward-Backward Splitting for Time-Varying Graphical Models.

Alessandro Verri , Saverio Salzo , Federico Tomasi , Veronica Tozzo
probabilistic graphical models 475 -486

1
2018
Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy

Annalisa Barla , Lino Nobili , Federico Tomasi , Gabriele Arnulfo
Machine Learning for Healthcare Conference 348 -382

2018
Stochastic Variational Inference for Dynamic Correlated Topic Models.

Zhenwen Dai , Federico Tomasi , Gal Levy-Fix , Praveen Chandar
uncertainty in artificial intelligence 859 -868

7
2020
Temporal Pattern Detection in Time-Varying Graphical Models

Annalisa Barla , Federico Tomasi , Veronica Tozzo
international conference on pattern recognition 4481 -4488

2021
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation

Casper Hansen , Christian Hansen , Lucas Maystre , Rishabh Mehrotra
conference on recommender systems 53 -62

3
2020
A 3-fold kernel approach for characterizing Late Onset Alzheimer’s Disease

Margherita Squillario , Federico Tomasi , Veronica Tozzo , Annalisa Barla
bioRxiv 397760

2018
A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease

Squillario Margherita , Abate Giulia , Tomasi Federico , Tozzo Veronica
Scientific Reports 10 ( 1) 12063

1
2020
Query Understanding for Surfacing Under-served Music Content

Federico Tomasi , Rishabh Mehrotra , Aasish Pappu , Judith Bütepage
conference on information and knowledge management 2765 -2772

2020
Latent variable time-varying network inference

Federico Tomasi , Veronica Tozzo , Saverio Salzo , Alessandro Verri
arXiv: Machine Learning

4
2018
Multi-Task Learning of Graph-based Inductive Representations of Music Content.

Antonia Saravanou , Federico Tomasi , Rishabh Mehrotra , Mounia Lalmas
ISMIR 602 -609

7
2021
Systems and methods for providing media recommendations using contextual and sequential user embeddings

Casper Hansen , Christian Hansen , Lucas Maystre , Rishabh Mehrotra

3
2023
Dynamic correlated topic model

Praveen Chandar Ravichandran , Mounia Lalmas-roelleke , Federico Tomasi , Zhenwen Dai

1
2023
Efficient inference for dynamic topic modeling with large vocabularies

Federico Tomasi , Mounia Lalmas , Zhenwen Dai
Uncertainty in Artificial Intelligence 1950 -1959

1
2022
Dynamic word correlated topic machine learning model

Federico Tomasi , Zhenwen Dai , Mounia Lalmas-roelleke

1
2022
Query understanding methods and systems

Federico Tomasi , Rishabh Mehrotra , Brian Christian Peter Brost , Aasish Kumar Pappu

2023
Automatic Music Playlist Generation via Simulation-based Reinforcement Learning

Federico Tomasi , Joseph Cauteruccio , Surya Kanoria , Kamil Ciosek
4948 -4957

2
2023
Efficient Automated Online Experimentation with Multi-Fidelity

Steven Kleinegesse , Zhenwen Dai , Andreas Damianou , Kamil Ciosek
Fifth Workshop on Meta-Learning at the Conference on Neural Information Processing Systems

2021