Search Results for author: Jihed Khiari

Found 5 papers, 2 papers with code

Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks

no code implementations14 Apr 2023 Jihed Khiari, Cristina Olaverri-Monreal

We propose in this paper an ensemble learning approach based on deep neural networks (ENN) that is designed to reduce the predictive uncertainty and to output measures of such uncertainty.

Ensemble Learning

Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles

no code implementations27 Apr 2022 Jihed Khiari, Cristina Olaverri-Monreal

We propose a data-driven approach which relies on real-world datasets including battery related attributes.

Boosting Algorithms for Delivery Time Prediction in Transportation Logistics

1 code implementation24 Sep 2020 Jihed Khiari, Cristina Olaverri-Monreal

A variety of solutions exist for short-term travel time predictions such as solutions that utilize real-time GPS data and optimization methods to track the path of a vehicle.


Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data

1 code implementation16 Apr 2020 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.

Binary Classification Classification +3

MetaBags: Bagged Meta-Decision Trees for Regression

no code implementations17 Apr 2018 Jihed Khiari, Luis Moreira-Matias, Ammar Shaker, Bernard Zenko, Saso Dzeroski

The proposed method and meta-features are designed in such a way that they enable good predictive performance even in subregions of space which are not adequately represented in the available training data.

Inductive Bias Meta-Learning +1

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