Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. - Seshu Tirupathi; Dhaval Salwala; Giulio Zizzo; Ambrish Rawat; Mark Purcell; Søren Kejser Jensen; Christian Thomsen 001; Nguyen Ho; Carlos E. Muñiz-Cuza; Jonas Brusokas; Torben Bach Pedersen; Giorgos Alexiou; et al. (IEEE Big Data, 2022)

VisualFacts: A Platform for In-Situ Visual Exploration and Real-Time Entity Resolution. - George Papastefanatos; Giorgos Alexiou; Nikos Bikakis; Stavros Maroulis; Vassilis Stamatopoulos (EDBT/ICDT Workshops, 2022)

A Tool for Visual Exploration and Analysis of Solar Photovoltaic Module Data. - Vassilis Stamatopoulos; Stavros Maroulis; Konstantinos Kozanis; Ioannis Psarros; George Papastefanatos; Giorgos Giannopoulos; Manolis Terrovitis (EDBT/ICDT Workshops, 2023)

Partial Adaptive Indexing for Approximate Query Answering. - Stavros Maroulis; Nikos Bikakis; Vassilis Stamatopoulos; George Papastefanatos (CoRR, 2024)

Visualization-aware Time Series Min-Max Caching with Error Bound Guarantees. - Stavros Maroulis; Vassilis Stamatopoulos; George Papastefanatos; Manolis Terrovitis (Proc. VLDB Endow., 2024)

QueryER: A Framework for Fast Analysis-Aware Deduplication over Dirty Data. - Giorgos Alexiou; George Papastefanatos; Vassilis Stamatopoulos; Georgia Koutrika; Nectarios Koziris (EDBT, 2025)

Adaptive Indexing for Approximate Query Processing in Exploratory Data Analysis. - Stavros Maroulis; Nikos Bikakis; Vassilis Stamatopoulos; George Papastefanatos (CoRR, 2025)