Iterative Correction of Sensor Degradation and a Bayesian Multi-Sensor Data Fusion Method. - Luka Kolar; Rok Sikonja; Lenart Treven (CoRR, 2020)

On Automatic Feasibility Study for Machine Learning Application Development with ease.ml/snoopy. - Cédric Renggli; Luka Rimanic; Luka Kolar; Nora Hollenstein; Wentao Wu 001; Ce Zhang 001 (CoRR, 2020)

Ease.ml/snoopy in Action: Towards Automatic Feasibility Analysis for Machine Learning Application Development. - Cédric Renggli; Luka Rimanic; Luka Kolar; Wentao Wu 001; Ce Zhang 001 (Proc. VLDB Endow., 2020)

SHiFT: An Efficient, Flexible Search Engine for Transfer Learning. - Cédric Renggli; Xiaozhe Yao; Luka Kolar; Luka Rimanic; Ana Klimovic; Ce Zhang 001 (Proc. VLDB Endow., 2022)

Automatic Feasibility Study via Data Quality Analysis for ML: A Case-Study on Label Noise. - Cédric Renggli; Luka Rimanic; Luka Kolar; Wentao Wu 001; Ce Zhang 001 (ICDE, 2023)