Genetic Algorithms with Local Optima Handling to Solve Sudoku Puzzles. - Firas Gerges; Germain Zouein; Danielle Azar (ICCAI, 2018)

Automated Diagnosis of Acne and Rosacea using Convolution Neural Networks. - Firas Gerges; Frank Y. Shih; Danielle Azar (AIPR, 2021)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (FLAIRS, 2022)

A Novel Deep Learning Approach to the Statistical Downscaling of Temperatures for Monitoring Climate Change. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (ICMLSC, 2022)

Early Prediction of Movie Success Using Machine Learning and Evolutionary Computation. - Firas Gerges; Danielle A. Azar; Joseph Vybihal; Jason T. L. Wang (ISCIT, 2022)

A Novel Bayesian Deep Learning Approach to the Downscaling of Wind Speed with Uncertainty Quantification. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (PAKDD (3), 2022)

Bayesian Multi-head Convolutional Neural Networks with Bahdanau Attention for Forecasting Daily Precipitation in Climate Change Monitoring. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Ankit Darekar; Hani Nassif; Jason T. L. Wang (ECML/PKDD (5), 2022)

A Deep Learning Approach to Dst Index Prediction. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (CoRR, 2022)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Forecasting the Disturbance Storm Time Index with Bayesian Deep Learning. - Yasser Abduallah; Jason T. L. Wang; Prianka Bose; Genwei Zhang; Firas Gerges; Haimin Wang (Zenodo, 2022)

Deep Learning-Enabled Prediction of Daily Solar Irradiance from Simulated Climate Data. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (ICMLSC, 2023)

Deep Learning-Based Downscaling of Temperatures for Monitoring Local Climate Change Using Global Climate Simulation Data. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (World Sci. Annu. Rev. Artif. Intell., 2023)

Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (Knowl. Inf. Syst., 2024)

Downscaling daily wind speed with Bayesian deep learning for climate monitoring. - Firas Gerges; Michel C. Boufadel; Elie Bou-Zeid; Hani Nassif; Jason T. L. Wang (Int. J. Data Sci. Anal., 2024)