Publications

JOURNALS
  1. A. Kadkhodaie-Ilkhchi, S.T. Monteiro, F. Ramos and P. Hatherly, Rock recognition from MWD data: a comparative study of boosting, neural networks and fuzzy logic, submitted to the IEEE GRSL (under review), 2009.
  2. T. Edanaga, Y. Minekawa, S.T. Monteiro and Y. Kosugi, Studies on human skin extraction from hyperspectral data using particle swarm optimization, Journal of the Japan Society of Photogrammetry and Remote Sensing, v. 47, n. 3, pp. 23-36, 2008.
  3. S.T. Monteiro and Y. Kosugi, Particle Swarms for Feature Extraction of Hyperspectral Data, IEICE Transactions on Information and Systems, v. E90-D, n. 7, pp. 1038-1046, 2007. |PDF file*
  4. S.T. Monteiro, Y. Minekawa, Y. Kosugi, T. Akazawa, and K. Oda, Prediction of Sweetness and Amino Acid Content in Soybean Crops from Hyperspectral Imagery, ISPRS Journal of Photogrammetry & Remote Sensing, v. 62, n. 1, pp. 2-12, 2007. |PDF file*
  5. S.T. Monteiro, K. Uto, Y. Kosugi, N. Kobayashi, and E. Watanabe, Optimization of Infrared Spectral Manipulation for Surgical Visual Aid, Journal of Japan Society of Computer Aided Surgery, v. 8, n. 1, pp. 33-38, 2006.
  6. S.T. Monteiro, K. Uto, Y. Kosugi, N. Kobayashi, E. Watanabe, and K. Kameyama, Feature Extraction of Hyperspectral Data for under Spilled Blood Visualization Using Particle Swarm Optimization, International Journal of Bioelectromagnetism, v. 7, n. 1, pp. 232-235, 2005.
  7. S.T. Monteiro and C. H. C. Ribeiro, Desempenho de Algoritmos de Aprendizagem por Reforco sob condicoes de Ambiguidade Sensorial em Robotica Movel (Performance of reinforcement learning algorithms in mobile robotics under conditions of sensorial ambiguity), Journal of Control and Automation of the Brazilian Society of Automatics, v. 15, n. 3, pp. 320-338, 2004.[in Portuguese]
CONFERENCES
  1. S.T. Monteiro, F. Ramos, P. Hatherly, Learning CRF models from drill rig sensors for autonomous mining, NIPS Workshop: Learning from Multiple Sources with Applications to Robotics, Whistler, Canada, 2009.
  2. S.T. Monteiro, F. Ramos, P. Hatherly, Conditional random fields for rock characterization using drill measurements, International Conference on Machine Learning and Applications (ICMLA'09), Miami, USA, 2009.
  3. S. Schneider, R.J. Murphy, S.T. Monteiro and E. Nettleton, On the development of a hyperspectral library for autonomous mining systems, Australasian Conference on Robotics and Automation (ACRA'09), Sydney, Australia, 2009.
  4. H. Zhou, S.T. Monteiro, P. Hatherly, F. Ramos, E. Nettleton and F. Oppolzer, Spectral feature selection for automated rock recognition using gaussian process classification, Australasian Conference on Robotics and Automation (ACRA'09), Sydney, Australia, 2009.
  5. S.T. Monteiro, R.J. Murphy, F. Ramos and J. Nieto, Applying boosting for hyperspectral classification of ore-bearing rocks, IEEE Workshop on Machine Learning for Signal Processing (MLSP'09), Grenoble, France, 2009.
  6. S.T. Monteiro, K. Uto, Y. Kosugi, K. Oda, Y. Iino and G. Saito, Hyperspectral image classification of grass species in northeast Japan, IEEE Intl. Geoscience and Remote Sensing Symposium (IGARSS'08), vol. 4, pp. 399-402, Boston, 2008.
  7. Y. Kosugi, D. Gullaume, Y. Takabayashi, S.T. Monteiro, M. Yamaki, K. Uto and G. Saito, Low-altitude hyperspectral imaging of Naruko integrated field for the interpretation of high-altitude observations, 6th  Intl. Symposium on Integrated Field Science, p.A-2, Sendai, Japan, 2008.
  8. S.T. Monteiro and Y. Kosugi, A Particle Swarm Optimization-based Approach for Hyperspectral Band Selection, IEEE Congress on Evolutionary Computation (CEC'07), pp. 3335-3340, Singapore, 2007.
  9. S.T. Monteiro and Y. Kosugi, Applying particle swarm intelligence for feature selection of spectral imagery, 7th Conference on Intelligent Systems Design and Applications (ISDA'07), pp. 933-938, Rio de Janeiro, Brazil, 2007.
  10. S.T. Monteiro, Y. Minekawa, Y. Kosugi, T. Akazawa, and K. Oda, Prediction of Sweetness and Nitrogen Content in Soybean Crops from High Resolution Hyperspectral Imagery, IEEE Intl. Geoscience and Remote Sensing Symposium (IGARSS'06), vol. 5, pp. 2263-2266, Denver, USA, 2006.
  11. S.T. Monteiro, Y. Minekawa, Y. Kosugi, T. Akazawa, and K. Oda, High Resolution Hyperspectral Imagery for Estimating Sweetness Content in Soybean Crops, Institute of Electronics, Information and Communication Engineers General Conference (IEICE'06), BS-6-13, SE-24, Tokyo, Japan, 2006.
  12. Y. Kosugi, S.T. Monteiro, Y. Minekawa, N. Kosaka, K. Uto, T. Akazawa , G. Saito, K. Oda, On the search for possible applications of hyperspectral sensors, Japanese Agricultural Systems Society Conference, v. 21-2, pp. 72-73, Tokyo, Japan, 2005. [in Japanese]
  13. S.T. Monteiro, H. Nakamoto, H. Ogawa, and N. Matsuhira, Robust mobile robot map building using sonar and vision, JSME Conference on Robotics and Mechatronics (ROBOMEC'05), 2P1-N-052, pp. 1-4, Kobe, Japan, 2005.
  14. S.T. Monteiro, K. Uto, Y. Kosugi, and E. Watanabe, Towards a Surgical Tool Using Hyperspectral Imagery as Visual Aid, MICCAI Workshop: Augmented Environments for Medical Imaging and Computer-aided Surgery (AMI-ARCS'04), pp.97-103, Rennes, France, 2004.
  15. S.T. Monteiro, K. Uto, Y. Kosugi, and E. Watanabe, Towards Applying hyperspectral Imagery as an Intraoperative Visual Aid Tool, 4th Conference on Visualization, Imaging and Image Processing (VIIP'04), pp.483-488, Marbella, Spain, 2004.
  16. C.H.C. Ribeiro, L.F. Almeida and S.T. Monteiro, Localizacao e Geracao de Mapas para Robos Moveis Autonomos (Localization and map building for autonomous mobile robots), 2nd Brazilian Conference on Dynamics, Control and their Applications (DINCON'03), pp. 2056-2086, Sao Jose dos Campos, Brazil, 2003. [in Portuguese]  
  17. C.H.C. Ribeiro and S.T. Monteiro, Aprendizagem da Navegacao em Robos Moveis a partir de Mapas Obtidos Autonomamente (Learning of mobile robot navigation based on autonomously acquired maps), XXIII Brazilian Computer Society Conference (SBC'03), v. 1, pp. 152-152, Campinas, Brazil, 2003. [in Portuguese]
  18. S.T. Monteiro and C.H.C. Ribeiro, Obtencao de Mapas Cognitivos para o Robo Movel Magellan Pro (Acquisition of cognitive maps for the Magellan Pro mobile robot), XIV Brazilian Automation Conference (CBA'02), pp.1543 – 1548, Natal, Brazil, 2002. [in Portuguese]

DISSERTATIONS

* COPYRIGHT NOTICE
This material is presented to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are retained by authors or by publishers. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. Personal use of this material is permitted. However, these works may not be reposted without the explicit permission of the copyright holder. For information about permission to reprint/republish/reuse this material, please contact the correspondent original publisher.

 

Home | Intro | Resume | Interests | Publications | Contact