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

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

6 February 2020

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

10 / 10 papers shown

Title
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 29 3 0 29 Aug 2024
State-of-the-Art Review: The Use of Digital Twins to Support Artificial Intelligence-Guided Predictive Maintenance Sizhe Ma Katherine A. Flanigan Mario Bergés 26 4 0 19 Jun 2024
State-of-the-Art Review and Synthesis: A Requirement-based Roadmap for Standardized Predictive Maintenance Automation Using Digital Twin Technologies Sizhe Ma Katherine A. Flanigan Mario Bergés 16 8 0 13 Nov 2023
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities Maryam Shaygan Collin Meese Wanxin Li Xiaoliang (George) Zhao Mark M. Nejad 22 108 0 31 May 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James J. Q. Yu Z. Wang AI4TS 24 7 0 16 Mar 2023
Measuring the Confidence of Traffic Forecasting Models: Techniques, Experimental Comparison and Guidelines towards Their Actionability I. Laña Ignacio I. Olabarrieta Javier Del Ser 32 1 0 28 Oct 2022
Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis Yanan Xin Natasa Tagasovska F. Pérez-Cruz Martin Raubal 35 10 0 18 Oct 2022
A Graph-based Methodology for the Sensorless Estimation of Road Traffic Profiles Eric L. Manibardo I. Laña Esther Villar-Rodriguez Javier Del Ser 22 3 0 11 Jan 2022
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? Eric L. Manibardo I. Laña Javier Del Ser AI4TS 24 67 0 02 Dec 2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment Javier Del Ser I. Laña Eric L. Manibardo I. Oregi E. Osaba J. Lobo Miren Nekane Bilbao E. Vlahogianni 20 16 0 17 Apr 2020