ETH analysis and predictions utilizing deep learning. - Thanasis Zoumpekas; Elias N. Houstis; Manolis Vavalis (Expert Syst. Appl., 2020)

Benchmarking Deep Learning Models on Point Cloud Segmentation. - Thanasis Zoumpekas; Guillem Molina; Maria Salamó; Anna Puig (CCIA, 2021)

End-to-End Intelligent Framework for Rockfall Detection. - Thanasis Zoumpekas; Anna Puig; Maria Salamó; David García-Sellés; Laura Blanco Nuñez; Marta Guinau (CoRR, 2021)

An intelligent framework for end-to-end rockfall detection. - Thanasis Zoumpekas; Anna Puig; Maria Salamó; David García-Sellés; Laura Blanco Nuñez; Marta Guinau (Int. J. Intell. Syst., 2021)

Effective Early Stopping of Point Cloud Neural Networks. - Thanasis Zoumpekas; Maria Salamó; Anna Puig (MDAI, 2022)

CLOSED: A Dashboard for 3D Point Cloud Segmentation Analysis using Deep Learning. - Thanasis Zoumpekas; Guillem Molina; Anna Puig; Maria Salamó (VISIGRAPP (4: VISAPP), 2022)

Machine Learning-Based Rockfalls Detection with 3D Point Clouds, Example in the Montserrat Massif (Spain). - Laura Blanco Nuñez; David García-Sellés; Marta Guinau; Thanasis Zoumpekas; Anna Puig; Maria Salamó; Oscar Gratacós; Josep Anton Muñoz; Marc Janeras; Oriol Pedraza (Remote. Sens., 2022)

Rethinking Design and Evaluation of 3D Point Cloud Segmentation Models. - Thanasis Zoumpekas; Maria Salamó; Anna Puig (Remote. Sens., 2022)

Machining tool identification utilizing temporal 3D point clouds. - Thanasis Zoumpekas; Alexander Leutgeb; Anna Puig; Maria Salamó (J. Intell. Manuf., 2024)

VolE: A Point-cloud Framework for Food 3D Reconstruction and Volume Estimation. - Umair Haroon; Ahmad AlMughrabi; Thanasis Zoumpekas; Ricardo Marques; Petia Radeva (CoRR, 2025)