Deep learning with geodesic moments for 3D shape classification L Luciano, AB Hamza Pattern Recognition Letters 105, 182-190, 2018 | 61 | 2018 |
A global geometric framework for 3D shape retrieval using deep learning L Luciano, AB Hamza Computers & Graphics 79, 14-23, 2019 | 22 | 2019 |
Deep similarity network fusion for 3D shape classification L Luciano, A Ben Hamza The Visual Computer 35, 1171-1180, 2019 | 17 | 2019 |
Determining suitability of computing resources for workloads L Luciano, IA Kiss, E Kadosh, PW Beardshear US Patent 10,970,123, 2021 | 9 | 2021 |
Automated multimodal biometrics using face and ear L Luciano, A Krzyżak Image Analysis and Recognition: 6th International Conference, ICIAR 2009 …, 2009 | 9 | 2009 |
Identifying optimized computing resources for running workloads L Luciano, PW Beardshear, IA Kiss, E Kadosh US Patent 11,307,885, 2022 | 4 | 2022 |
Geodesic-based 3D shape retrieval using sparse autoencoders L Luciano, AB Hamza Proceedings of the 11th eurographics workshop on 3D object retrieval, 21-28, 2018 | 4 | 2018 |
Convolutional shape-aware representation for 3d object classification H Ghodrati, L Luciano, AB Hamza Neural Processing Letters 49, 797-817, 2019 | 3 | 2019 |
WISE: a computer system performance index scoring framework L Luciano, I Kiss, PW Beardshear, E Kadosh, AB Hamza Journal of Cloud Computing 10, 1-15, 2021 | | 2021 |
Geometric Deep Learned Descriptors for 3D Shape Recognition L Luciano Concordia University, 2018 | | 2018 |
An automated multimodal face recognition system based on fusion of face and ear. L Luciano Library and Archives Canada= Bibliothèque et Archives Canada, Ottawa, 2011 | | 2011 |
An automated multimodal face recognition system based on fusion of face and ear L Luciano Concordia University, 2009 | | 2009 |