| Two-Stage Deep Learning Approach to the Classification of Fine-Art Paintings C Sandoval, E Pirogova, M Lech IEEE Access 7 (doi: 10.1109/ACCESS.2019.2907986), 41770 - 41781, 2019 | 126 | 2019 |
| Classification of style in fine-art paintings using transfer learning and weighted image patches CS Rodriguez, M Lech, E Pirogova 2018 12th International Conference on Signal Processing and Communication …, 2018 | 33 | 2018 |
| Adversarial learning approach to unsupervised labeling of fine art paintings C Sandoval, E Pirogova, M Lech IEEE Access 9, 81969-81985, 2021 | 11 | 2021 |
| Artificial bandwidth extension to improve automatic emotion recognition from narrow-band coded speech A Albahri, CS Rodriguez, M Lech 2016 10th International Conference on Signal Processing and Communication …, 2016 | 7 | 2016 |
| Real-time team performance and workload prediction from voice communications C Sandoval, MN Stolar, SG Hosking, D Jia, M Lech IEEE Access 10, 78484-78492, 2022 | 4 | 2022 |
| Classification of fine-art paintings with simulated partial damages C Sandoval, E Pirogova, M Lech 2020 14th international conference on signal processing and communication …, 2020 | 4 | 2020 |
| Prediction of inter-personal trust and team familiarity from speech: A double transfer learning approach CS Rodriguez, AR Panganiban, MN Stolar, RS Bolia, M Lech IEEE Access 8, 225437-225447, 2020 | 4 | 2020 |
| Deep learning techniques for the fine art and Australian Aboriginal painting analysis C SANDOVAL RODRIGUEZ RMIT University, 2021 | 1 | 2021 |
Margaret LechProfessor, School of Engineering, RMIT University, Melbourne, Australia在 rmit.edu.au 的电子邮件经过验证
