Ricardo Da Silva Torres
Background and activities
Ricardo da S. Torres is Professor in Visual Computing at the Norwegian University of Science and Technology (NTNU). He used to hold a position as a Professor at the University of Campinas, Brazil (2005 - 2019). Dr. Torres received a B.Sc. in Computer Engineering from the University of Campinas, Brazil, in 2000 and his Ph.D. degree in Computer Science at the same university in 2004. Dr. Torres has been serving as the coordinator of Master Program in Simulation and Visualisation from at NTNU since 08/2020. Dr. Torres has been developing multidisciplinary eScience research projects involving Multimedia Analysis, Multimedia Retrieval, Machine Learning, Databases, Information Visualisation, and Digital Libraries. Dr. Torres is author/co-author of more than 200 articles in refereed journals and conferences and serves as a PC member for several international and national conferences. Currently, he has been serving as Senior Associate Editor of the IEEE Signal Processing Letters and Associate Editor of the Pattern Recognition Letters. He is a member of the IEEE.
Scientific, academic and artistic work
- (2020) A Soft Computing Approach for Selecting and Combining Spectral Bands. Remote Sensing. vol. 12 (14).
- (2020) Detecting face presentation attacks in mobile devices with a patch-based CNN and a sensor-aware loss function. PLOS ONE. vol. 15 (9).
- (2020) On the Fusion of Text Detection Results: A Genetic Programming Approach. IEEE Access. vol. 8.
- (2020) 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. vol. 5.
- (2020) A Multirepresentational Fusion of Time Series for Pixelwise Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. vol. 13.
- (2020) Neural relational inference for disaster multimedia retrieval. Multimedia tools and applications.
- (2020) Corresponding Assessment Scenarios in Laboratory and On-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players. Scientific Reports. vol. 10 (8620).
- (2020) On the classification of fog computing applications: A machine learning perspective. Journal of Network and Computer Applications. vol. 159.
- (2020) Exploring the determinants of success in different clusters of ball possession sequences in soccer. Research in Sports Medicine: An International Journal. vol. 28 (3).
- (2020) Two-tiered face verification with low-memory footprint for mobile devices. IET Biometrics. vol. 9 (5).
- (2020) A Unified Model for Accelerating Unsupervised Iterative Re-Ranking Algorithms. Concurrency and Computation. vol. 32 (14).
- (2020) A Change-Driven Image Foveation Approach for Tracking Plant Phenology. Remote Sensing. vol. 12 (9).
- (2020) Application-Oriented Retinal Image Models for Computer Vision. Sensors. vol. 20 (13).
- (2020) Accuracy and limitations for spectroscopic prediction of leaf traits in seasonally dry tropical environments. Remote Sensing of Environment. vol. 244.
- (2020) INTEGRA: An Open Tool To Support Graph-Based Change Pattern Analyses In Simulated Football Matches. Proceedings of the 34th International ECMS - Conference on Modelling and Simulation - ECMS 2020.
- (2019) Ontology changes-driven semantic refinement of cross-language biomedical ontology alignments. CEUR Workshop Proceedings. vol. 2477.
- (2019) EVOCROS: Results for OAEI 2019. CEUR Workshop Proceedings. vol. 2536.
- (2019) Tucumã: A toolbox for spatiotemporal remote sensing image analysis [Software and Data Sets]. IEEE Geoscience and Remote Sensing Magazine. vol. 7 (3).
- (2019) Learning cost function for graph classification with open-set methods. Pattern Recognition Letters. vol. 128.