Daniele Foroni

According to our database, Daniele Foroni authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fuzzy modelling and inference for physics-aware road vehicle driver behaviour model calibration.

Cristian Axenie, Wolfgang Scherr, Alexander Wieder, Anibal Siguenza-Torres, Zhuoxiao Meng, Xiaorui Du, Paolo Sottovia, Daniele Foroni, Margherita Grossi, Stefano Bortoli, Götz Brasche

Expert Syst. Appl., 2024

2022

Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO.

Zhuoxiao Meng, Xiaorui Du, Paolo Sottovia, Daniele Foroni, Cristian Axenie, Alexander Wieder, David Eckhoff, Stefano Bortoli, Alois Knoll, Christoph Sommer

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.

Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche

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.

Daniele Foroni, Matteo Lissandrini, Yannis Velegrakis

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Estimating the extent of the effects of Data Quality through Observations.

Daniele Foroni, Matteo Lissandrini, Yannis Velegrakis

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

TRAMESINO: Traffic Memory System for Intelligent Optimization of Road Traffic Control.

Cristian Axenie, Rongye Shi, Daniele Foroni, Alexander Wieder, Mohamad Al Hajj Hassan, Paolo Sottovia, Margherita Grossi, Stefano Bortoli, Götz Brasche

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2021

2020

Real-time Traffic Jam Detection and Congestion Reduction Using Streaming Graph Analytics.

Zainab Abbas, Paolo Sottovia, Mohamad Al Hajj Hassan, Daniele Foroni, Stefano Bortoli

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

STARLORD: Sliding Window Temporal Accumulate-Retract Learning for Online Reasoning on Datastreams.

Cristian Axenie, Radu Tudoran, Stefano Bortoli, Mohamad Al Hajj Hassan, Daniele Foroni, Goetz Brasche

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.

Daniele Foroni, Cristian Axenie, Stefano Bortoli, Mohamad Al Hajj Hassan, Ralph Acker, Radu Tudoran, Goetz Brasche, Yannis Velegrakis

Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2018