7 citations · 23 across the 6 of their papers we have counts for
6 papers
Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks
Jihed Khiari, Cristina Olaverri-Monreal
The transportation sector accounts for about 25% of global greenhouse gas emissions. Therefore, an improvement of energy efficiency in the traffic sector is crucial to reducing the…
Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform
Aso Validi, Vladislav Kashansky, Jihed Khiari +5
Hybrid on/off-blockchain vehicle data management approaches have received a lot of attention in recent years. However, there are various technical challenges remained to deal with.…
Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles
Jihed Khiari, Cristina Olaverri-Monreal
The usability of vehicles is highly dependent on their energy consumption. In particular, one of the main factors hindering the mass adoption of electric (EV), hybrid (HEV), and pl…
Boosting Algorithms for Delivery Time Prediction in Transportation Logistics
Jihed Khiari, Cristina Olaverri-Monreal
Travel time is a crucial measure in transportation. Accurate travel time prediction is also fundamental for operation and advanced information systems. A variety of solutions exist…
Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data
Anil Goyal, Jihed Khiari
In this paper, we propose a diversity-aware ensemble learning based algorithm, referred to as DAMVI, to deal with imbalanced binary classification tasks. Specifically, after learni…
MetaBags: Bagged Meta-Decision Trees for Regression
Jihed Khiari, Luis Moreira-Matias, Ammar Shaker +2
Ensembles are popular methods for solving practical supervised learning problems. They reduce the risk of having underperforming models in production-grade software. Although criti…