Feature Selection Issues in Long-Term Travel Time Prediction. - Syed Murtaza Hassan; Luís Moreira-Matias; Jihed Khiari; Oded Cats (IDA, 2016)

Automated Setting of Bus Schedule Coverage Using Unsupervised Machine Learning. - Jihed Khiari; Luís Moreira-Matias; Vítor Cerqueira; Oded Cats (PAKDD (1), 2016)

MetaBags: Bagged Meta-Decision Trees for Regression. - Jihed Khiari; Luís Moreira-Matias; Ammar Shaker; Bernard Zenko; Saso Dzeroski (ECML/PKDD (1), 2018)

On Evaluating Floating Car Data Quality for Knowledge Discovery. - Vítor Cerqueira; Luís Moreira-Matias; Jihed Khiari; Hans van Lint (IEEE Trans. Intell. Transp. Syst., 2018)

BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). - Amal Saadallah; Luís Moreira-Matias; Ricardo Teixeira Sousa; Jihed Khiari; Erik Jenelius; João Gama 001 (ICDE, 2019)

Boosting Algorithms for Delivery Time Prediction in Transportation Logistics. - Jihed Khiari; Cristina Olaverri-Monreal (ICDM (Workshops), 2020)

Diversity-Aware Weighted Majority Vote Classifier for Imbalanced Data. - Anil Goyal; Jihed Khiari (IJCNN, 2020)

BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. - Amal Saadallah; Luís Moreira-Matias; Ricardo Teixeira Sousa; Jihed Khiari; Erik Jenelius; João Gama 001 (IEEE Trans. Knowl. Data Eng., 2020)

Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform. - Aso Validi; Vladislav Kashansky; Jihed Khiari; Hamid Hadian; Radu Prodan; Juanjuan Li; Fei-Yue Wang 001; Cristina Olaverri-Monreal (ITSC, 2022)

Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles. - Jihed Khiari; Cristina Olaverri-Monreal (IV, 2022)

Uncertainty-Aware Vehicle Energy Efficiency Prediction Using an Ensemble of Neural Networks. - Jihed Khiari; Cristina Olaverri-Monreal (IEEE Intell. Transp. Syst. Mag., 2023)