Veronica Tozzo

According to our database1, Veronica Tozzo authored at least 15 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2022
Where Do We Stand in Regularization for Life Science Studies?
J. Comput. Biol., 2022

Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets.
Proceedings of the International Conference on Machine Learning, 2022

2021
Time Adaptive Gaussian Model.
CoRR, 2021

Statistical Models Coupling Allows for Complex Local Multivariate Time Series Analysis.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Generalised temporal network inference.
PhD thesis, 2020

A Robust Method for Statistical Testing of Empirical Power-Law Distributions.
Proceedings of the Algorithms and Models for the Web Graph - 17th International Workshop, 2020

Missing Values in Multiple Joint Inference of Gaussian Graphical Models.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Temporal Pattern Detection in Time-Varying Graphical Models.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Multi-parameters Model Selection for Network Inference.
Proceedings of the Complex Networks and Their Applications VIII, 2019

2018
Group induced graphical lasso allows for discovery of molecular pathways-pathways interactions.
CoRR, 2018

Forward-Backward Splitting for Time-Varying Graphical Models.
Proceedings of the International Conference on Probabilistic Graphical Models, 2018

Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy.
Proceedings of the Machine Learning for Healthcare Conference, 2018

Latent Variable Time-varying Network Inference.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Hey there's DALILA: a DictionAry LearnIng LibrAry.
Proceedings of the 2017 Imperial College Computing Student Workshop, 2017

Cancer Mutational Signatures Identification with Sparse Dictionary Learning.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2017


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