Tobia Boschi

Orcid: 0000-0003-1990-1653

According to our database1, Tobia Boschi authored at least 14 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics.
CoRR, February, 2026

TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models.
CoRR, February, 2026

2025
FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions.
J. Comput. Graph. Stat., 2025

Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

KITE+: A Knowledge Integration Platform to Support the Development of Multimodal, Large-Scale Data Analytics Applications with Alignment to Modern Data Protection Laws.
Proceedings of the IEEE International Conference on Digital Health, 2025

2024
Feature Selection for Functional Data Classification.
CoRR, 2024

Investigating Functional Data Analysis for Wearable Physiological Sensor Data in Stress Evaluation.
Proceedings of the IEEE Symposium on Computers and Communications, 2024

Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

ProInsight: A Tool for Risk Prediction and Impact Evaluation of Digital Health Solution Implementations.
Proceedings of the IEEE International Conference on Digital Health, 2024

Predictive Analytics and Digital Health Technologies for High-Risk Infants.
Proceedings of the IEEE International Conference on Digital Health, 2024

2023
Automated Feature Selection from Medical Literature.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2021
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
An Efficient Semi-smooth Newton Augmented Lagrangian Method for Elastic Net.
CoRR, 2020


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