| 2024 | ICRA | Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. | Nicholas Rober, Karan Mahesh, Tyler M. Paine, Max L. Greene, Steven Lee, Sildomar T. Monteiro, Michael R. Benjamin, Jonathan P. How |
| 2018 | IGARSS | Dual-Channel Densenet for Hyperspectral Image Classification. | Gefei Yang, Utsav B. Gewali, Emmett J. Ientilucci, Michael G. Gartley, Sildomar T. Monteiro |
| 2017 | CVPR | Dense Semantic Labeling of Very-High-Resolution Aerial Imagery and LiDAR with Fully-Convolutional Neural Networks and Higher-Order CRFs. | Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber |
| 2017 | IGARSS | Using Bayesian optimization to jointly tune the classifier and the random field for spatial-spectral hyperspectral classification. | Utsav B. Gewali, Sildomar T. Monteiro |
| 2017 | IGARSS | Semantic segmentation of remote sensing data using Gaussian processes and higher-order CRFS. | Yansong Liu, Sankaranarayanan Piramanayagam, Sildomar T. Monteiro, Eli Saber |
| 2016 | ICIP | A novel covariance function for predicting vegetation biochemistry from hyperspectral imagery with Gaussian processes. | Utsav B. Gewali, Sildomar T. Monteiro |
| 2016 | ICIP | Super pixel based classification using conditional random fields for hyperspectral images. | Yang Hu, Sildomar T. Monteiro, Eli Saber |
| 2016 | ICMLA | Gaussian Processes for Object Detection in High Resolution Remote Sensing Images. | Yilong Liang, Sildomar T. Monteiro, Eli S. Saber |
| 2016 | IGARSS | Vehicle detection from aerial color imagery and airborne LiDAR data. | Yansong Liu, Sildomar T. Monteiro, Eli Saber |
| 2015 | CEC | Robust stock value prediction using support vector machines with particle swarm optimization. | Trevor M. Sands, Deep Tayal, Matthew E. Morris, Sildomar T. Monteiro |
| 2013 | IGARSS | Combining strong features for registration of hyperspectral and lidar data from field-based platforms. | Sildomar T. Monteiro, Juan I. Nieto, Richard J. Murphy, Rishi Ramakrishnan, Zachary Taylor |
| 2013 | IROS | Evaluating techniques for learning a feedback controller for low-cost manipulators. | Oliver M. Cliff, Sildomar T. Monteiro |
| 2012 | ICRA | Automatic rock recognition from drilling performance data. | Hang Zhou, Peter Hatherly, Sildomar T. Monteiro, Fabio Ramos, Florian Oppolzer, Eric Nettleton, Steve Scheding |
| 2011 | CEC | Feature selection with PSO and kernel methods for hyperspectral classification. | Anthony S. J. Tjiong, Sildomar T. Monteiro |
| 2011 | IGARSS | Embedded feature selection of hyperspectral bands with boosted decision trees. | Sildomar T. Monteiro, Richard J. Murphy |
| 2011 | IJCAI | Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining. | Sildomar T. Monteiro, Joop van de Ven, Fabio Ramos, Peter Hatherly |
| 2010 | IGARSS | Calibrating probabilities for hyperspectral classification of rock types. | Sildomar T. Monteiro, Richard J. Murphy |
| 2010 | IGARSS | 3D geological modelling using laser and hyperspectral data. | Juan I. Nieto, Sildomar T. Monteiro, Diego Viejo |
| 2010 | ICRA | Automated rock recognition with wavelet feature space projection and Gaussian Process classification. | Hang Zhou, Sildomar T. Monteiro, Peter Hatherly, Fabio T. Ramos, Eric Nettleton, Florian Oppolzer |
| 2009 | ICMLA | Conditional Random Fields for Rock Characterization Using Drill Measurements. | Sildomar T. Monteiro, Fabio T. Ramos, Peter Hatherly |