Automated problem setting selection in multi-target prediction with AutoMTP. - Dimitrios Iliadis; Bernard De Baets; Willem Waegeman (CoRR, 2021)

Hyperparameter optimization in deep multi-target prediction. - Dimitrios Iliadis; Marcel Wever; Bernard De Baets; Willem Waegeman (CoRR, 2022)

Multi-target prediction for dummies using two-branch neural networks. - Dimitrios Iliadis; Bernard De Baets; Willem Waegeman (Mach. Learn., 2022)

Iterative Deepening Hyperband. - Jasmin Brandt; Marcel Wever; Dimitrios Iliadis; Viktor Bengs; Eyke Hüllermeier (CoRR, 2023)

DeepMTP: A Python-based deep learning framework for multi-target prediction. - Dimitrios Iliadis; Bernard De Baets; Willem Waegeman (SoftwareX, 2023)

Hyperparameter optimization of two-branch neural networks in multi-target prediction. - Dimitrios Iliadis; Marcel Wever; Bernard De Baets; Willem Waegeman (Appl. Soft Comput., 2024)

A comparison of embedding aggregation strategies in drug-target interaction prediction. - Dimitrios Iliadis; Bernard De Baets; Tapio Pahikkala; Willem Waegeman (BMC Bioinform., 2024)

Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks. - Regina Ibragimova; Dimitrios Iliadis; Willem Waegeman (J. Chem. Inf. Model., 2025)