| Interpretable trading pattern designed for machine learning applications A Sokolovsky, L Arnaboldi, J Bacardit, T Gross Machine Learning with Applications, 100448, 2023 | 7* | 2023 |
| Designing and evaluating deep learning models for cancer detection on gene expression data A Canakoglu, L Nanni, A Sokolovsky, S Ceri International meeting on computational intelligence methods for …, 2018 | 7* | 2018 |
| Experimental (FTIR, BDS) and theoretical analysis of mutarotation kinetics of D-fructose mixed with different alcohols in the supercooled region M Dulski, A Cecotka, SN Tripathy, A Sakalouski, K Wolnica, M Tarnacka, ... RSC advances 6 (62), 57634-57646, 2016 | 6 | 2016 |
| A generic methodology for the statistically uniform & comparable evaluation of Automated Trading Platform components A Sokolovsky, L Arnaboldi Expert Systems with Applications, 119836, 2023 | 4* | 2023 |
| Cost-effective vibration analysis through data-backed pipeline optimisation A Sokolovsky, D Hare, J Mehnen Sensors 21 (19), 6678, 2021 | 3 | 2021 |
| Is it feasible to detect FLOSS version release events from textual messages? A case study on Stack Overflow A Sokolovsky, T Gross, J Bacardit Plos one 16 (2), e0246464, 2021 | 1 | 2021 |
| Sensitivity analysis for the detection of NO2 plumes from seagoing ships using TROPOMI data S Kurchaba, A Sokolovsky, J van Vliet, FJ Verbeek, CJ Veenman Remote Sensing of Environment 304, 114041, 2024 | | 2024 |
| Methodology for machine learning-based micro-event detection in non-stationary multidimensional temporal data A Sokolovsky Newcastle University, 2022 | | 2022 |
Luca ArnaboldiAssistant Professor, University of BirminghamE-mail confirmado em bham.ac.uk
