From Data to Actions in Intelligent Transportation Systems: a
Prescription of Functional Requirements for Model Actionability

v1v2v3 (latest)

From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability

Italian National Conference on Sensors (INS), 2020

6 February 2020

ArXiv (abs)PDF HTML

Papers citing "From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability"

11 / 11 papers shown

Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis

Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis

Blessing Agyei Kyem

Neema Jakisa Owor

Joshua Kofi Asamoah

Eugene Kofi Okrah Denteh

Armstrong Aboah

126

4

0

13 Oct 2025

A Catalog of Fairness-Aware Practices in Machine Learning Engineering

A Catalog of Fairness-Aware Practices in Machine Learning Engineering

Gianmario Voria

Giulia Sellitto

Carmine Ferrara

Francesco Abate

395

5

0

29 Aug 2024

State-of-the-Art Review: The Use of Digital Twins to Support Artificial
Intelligence-Guided Predictive Maintenance

State-of-the-Art Review: The Use of Digital Twins to Support Artificial Intelligence-Guided Predictive Maintenance

Katherine A. Flanigan

180

16

0

19 Jun 2024

State-of-the-Art Review and Synthesis: A Requirement-based Roadmap for
Standardized Predictive Maintenance Automation Using Digital Twin
Technologies

State-of-the-Art Review and Synthesis: A Requirement-based Roadmap for Standardized Predictive Maintenance Automation Using Digital Twin TechnologiesAdvanced Engineering Informatics (Adv. Eng. Inform.), 2023

Katherine A. Flanigan

151

49

0

13 Nov 2023

Traffic Prediction using Artificial Intelligence: Review of Recent
Advances and Emerging Opportunities

Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging OpportunitiesTransportation Research Part C: Emerging Technologies (TRC), 2022

Xiaoliang (George) Zhao

333

189

0

31 May 2023

Adaptive Modeling of Uncertainties for Traffic Forecasting

Adaptive Modeling of Uncertainties for Traffic Forecasting

James Jianqiao Yu

340

15

0

16 Mar 2023

Measuring the Confidence of Traffic Forecasting Models: Techniques,
Experimental Comparison and Guidelines towards Their Actionability

Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability

201

1

0

28 Oct 2022

Vision Paper: Causal Inference for Interpretable and Robust Machine
Learning in Mobility Analysis

Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis

Natasa Tagasovska

Fernando Perez-Cruz

206

12

0

18 Oct 2022

A Graph-based Methodology for the Sensorless Estimation of Road Traffic
Profiles

A Graph-based Methodology for the Sensorless Estimation of Road Traffic Profiles

Eric L. Manibardo

Esther Villar-Rodriguez

317

4

0

11 Jan 2022

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

Eric L. Manibardo

266

90

0

02 Dec 2020

Deep Echo State Networks for Short-Term Traffic Forecasting: Performance
Comparison and Statistical Assessment

Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment

Eric L. Manibardo

Miren Nekane Bilbao

224

17

0

17 Apr 2020