Daniele Foroni

Orcid: 0000-0001-9428-0012

According to our database1, Daniele Foroni authored at least 11 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Addressing Last Mile Issues in Sports Analytics: A Case Study in Expected Goals in Soccer.
Proceedings of the Sports Analytics - Third International Conference, 2026

2024
Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration.
Expert Syst. Appl., 2024

2022
Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO.
Proceedings of the SUMO User Conference 2022, Virtual Event, May 9-11, 2022, 2022

2021
OBELISC: Oscillator-Based Modelling and Control Using Efficient Neural Learning for Intelligent Road Traffic Signal Calculation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

The F4U System for Understanding the Effects of Data Quality.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Estimating the extent of the effects of Data Quality through Observations.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020
Real-time Traffic Jam Detection and Congestion Reduction Using Streaming Graph Analytics.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Putting Data Quality in Context. How to generate more accurate analyses.
PhD thesis, 2019

2018
STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Moira: A Goal-Oriented Incremental Machine Learning Approach to Dynamic Resource Cost Estimation in Distributed Stream Processing Systems.
Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2018


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