Panel Tracking for the Extraction and the Classification of Speech Balloons. - Hadi S. Jomaa; Mariette Awad; Lina Ghaibeh (ICIAP (2), 2015)

Affective Relationship between Color and Text in Arabic Comic Books. - Hadi S. Jomaa; Mohamad Kamereddine; Ammar Nayal; Yara Rizk; Mariette Awad (SITIS, 2016)

Semantic and Visual Cues for Humanitarian Computing of Natural Disaster Damage Images. - Hadi S. Jomaa; Yara Rizk; Mariette Awad (SITIS, 2016)

KerMinSVM for imbalanced datasets with a case study on arabic comics classification. - Ammar Nayal; Hadi S. Jomaa; Mariette Awad (Eng. Appl. Artif. Intell., 2017)

A Hybrid Convolutional Approach for Parking Availability Prediction. - Hadi Samer Jomaa; Josif Grabocka; Lars Schmidt-Thieme; Alexander Borek (IJCNN, 2019)

A computationally efficient multi-modal classification approach of disaster-related Twitter images. - Yara Rizk; Hadi Samer Jomaa; Mariette Awad; Carlos Castillo 001 (SAC, 2019)

In Hindsight: A Smooth Reward for Steady Exploration. - Hadi S. Jomaa; Josif Grabocka; Lars Schmidt-Thieme (CoRR, 2019)

Hyp-RL : Hyperparameter Optimization by Reinforcement Learning. - Hadi S. Jomaa; Josif Grabocka; Lars Schmidt-Thieme (CoRR, 2019)

Handwritten Amharic Character Recognition Using a Convolutional Neural Network. - Mesay Samuel Gondere; Lars Schmidt-Thieme; Abiot Sinamo Boltena; Hadi Samer Jomaa (CoRR, 2019)

Exploring the Influence of Data Aggregation in Parking Prediction. - Shereen Elsayed; Daniela Thyssens; Shabanaz Chamurally; Arslan Tariq; Hadi Samer Jomaa (DEXA Workshops, 2020)

HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML. - Sebastian Pineda-Arango; Hadi S. Jomaa; Martin Wistuba; Josif Grabocka (NeurIPS Datasets and Benchmarks, 2021)

Multi-task Learning Curve Forecasting Across Hyperparameter Configurations and Datasets. - Shayan Jawed; Hadi S. Jomaa; Lars Schmidt-Thieme; Josif Grabocka (ECML/PKDD (1), 2021)

Do We Really Need Deep Learning Models for Time Series Forecasting? - Shereen Elsayed; Daniela Thyssens; Ahmed Rashed; Lars Schmidt-Thieme; Hadi Samer Jomaa (CoRR, 2021)

Hyperparameter Optimization with Differentiable Metafeatures. - Hadi S. Jomaa; Lars Schmidt-Thieme; Josif Grabocka (CoRR, 2021)

Improving Hyperparameter Optimization by Planning Ahead. - Hadi S. Jomaa; Jonas K. Falkner; Lars Schmidt-Thieme (CoRR, 2021)

Dataset2Vec: learning dataset meta-features. - Hadi S. Jomaa; Lars Schmidt-Thieme; Josif Grabocka (Data Min. Knowl. Discov., 2021)

Zero-shot AutoML with Pretrained Models. - Ekrem Öztürk; Fabio Ferreira; Hadi S. Jomaa; Lars Schmidt-Thieme; Josif Grabocka; Frank Hutter (ICML, 2022)

Transfer Learning for Automated Machine Learning: Meta-feature Learning, Black-box Hyperparameter Optimization and Applications. - Hadi S. Jomaa (2023)