Publications

Activity recognition, wearable devices, machine learning

  •  Olivier Chabloz, David Da Silva Andrade, Andres Upegui, Hector-F. Satizabal and Andres Perez-Uribe, “DiscoveryTree: Relative Localization Based on Multi-hop BLE Beacons“, The 1st 2017 GLOBAL IoT SUMMIT, Geneva (accepted, 2017)
  • H. Satizabal, A. Grillon, A. Upegui, G. Millet, G. Picasso, A. Perez-Uribe, “ActiDote: A wireless sensor-based system for self-tracking activity levels among manual wheelchair users“, EAI Endorsed transactions on Pervasive Health and Technology (accepted, 2017).
  • A. Grillon, A. Perez-Uribe, H. Satizabal, L. Gantel, D. Da Silva Andrade, A. Upegui, and F. Degache, “A wireless sensor-based system for self-tracking activity levels among manual wheelchair users“, eHealth 360°, Volume 181 of the series Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer International Publishing, Dec. 1, 2016, pp 229-240
  • Zhu, Zack, Héctor F. Satizábal, Ulf Blanke, Andres Perez-Uribe, and Gerhard Tröster. “Naturalistic recognition of activities and mood using wearable electronics.” IEEE Transactions on Affective Computing 7, no. 3 (2016): 272-285.
  • H.F. Satizabal and A. Perez-Uribe, “Unsupervised template discovery in activity recognition using the Gamma Growing Neural Gas algorithm” Soft Computing, Springer Verlag, November 2014, pp. 1-11.
  • J. Rebetez, H.F. Satizabal, A. Perez-Uribe, “Reducing User Intervention in Incremental Activity Recognition for Assistive Technologies”, , Proceedings of the 17th Annual International Symposium on International Symposium on Wearable Computers (ISWC’2013). ACM, New York, NY, USA, pp. 29-32.
  • B. Delachaux, J. Rebetez, A. Perez-Uribe and H.F. Satizabal, “Indoor activity recognition by combining one-vs-all neural network classifiers exploiting wearable and depth sensors”, Rojas, G. Joya, and J. Cabestany (Eds.): IWANN 2013, Part II, LNCS 7903, pp. 216-223, 2013.
  • H.F. Satizabal, J. Rebetez and A. Perez-Uribe, “Semi-Supervised Discovery of Time-Series Templates for Gesture Spotting in Activity Recognition”, Proceedings if the 2nd International Conference in Pattern Recognition Applications and Methods, Barcelona, 2013.

Agroecological modeling, neural networks

  • Julien Rebetez, Hector F. Satizabal, Matteo Mota, Dorothea Noll, Lucie Büchi, Marina Wendling, Bertrand Cannelle, Andres Perez-Uribe and Stéphane Burgos, “Augmenting a convolutional neural network with local histograms – A case study in crop classification from high-resolution UAV imagery” , Proceedings of the European Symposium on Artificial Neural Networks, ESANN’16.
  • Reymondin, Louis, et al. “A methodology for near real-time monitoring of habitat change at continental scales using MODIS-NDVI and TRMM.” Submitted Remote Sensing of Environment.
  • Satizabal, H.-F., Barreto-Sanz, M., Jimenez. D., Perez-Uribe, A., and Cock James, “Enhancing Decision-Making Processes of Small Farmers in Tropical Crops by Means of Machine Learning Models“, Technologies and Innovation for Development, Chapter 18, 2012, pp. 265-277.
  • Daniel Jimenez, James Cock, Andy Jarvis, James Garcia, Hector F. Satizabal, Patrick Van Damme, Andres Perez-Uribe, Miguel A. Barreto-Sanz, Interpretation of commercial production information: A case study of lulo (Solanum quitoense), an under-researched Andean fruit, Agricultural Systems, Volume 104, Issue 3, March 2011, Pages 258-270.
  • Barreto, M., Perez-Uribe, A., Pena-Reyes, C.A., and Tomassini M. “Tuning Parameters in the Fuzzy Growing Hierarchical Self-Organizing Networks”, Studies in Computational Intelligence series, Springer Verlag, Vol 258, 2009, pp. 261-280
  • Satizabal H.F., Perez-Uribe, A.., and Tomassini M. “Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets”, Studies in Computational Intelligence series, Springer Verlag, Vol 258, 2009, pp. 243-260
  • Daniel Jimenez, James Cock, Hector Satizabal, Miguel Barreto, Andres Perez-Uribe, Andy Jarvis and Patrick Van Damme, “Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data”, Computer and Eletronics in Agriculture, Elsevier, Vol 69, 2009, pp. 198-208
  • Sae-Tang A., Perez-Uribe, A., Jarvis A., “Artificial Neural Network Models for Identifying Novelties in Vegetation Time Series”, The 6th European Conf. on Ecological Modelling, Trieste, Italy. November 27-30, 2007, pp. 452-453.

Autonomous robots, artificial intelligence

  • Alvarez-Charris, David C., Andrés Pérez-Uribe, Héctor F. Satizábal, and Jesús A. Lopez. “EvoBoids: Co-design of a physical and virtual game using Artificial Evolution” In Computational Intelligence (SSCI), 2016 IEEE Symposium Series on, pp. 1-8. IEEE, 2016.
  • A. Pérez-Uribe, « Les chercheurs en IA rêvent-ils de robots SF ? “, Catalogue de l’exposition « Portrait-Robot » du musée La Maison d’Ailleurs, June 2015
  • H.F. Satizabal, A. Upegui, A. Perez-Uribe, F. Mondada and P. Retornaz, A Social Approach for Target Localization: Simulation and Implementation in the marXbot Robot, Memetic Computing, Springer Verlag, Vol. 3, No 4, 2011, pp. 245-259.

Gamification and serious games

  • A. Perez-Uribe, « Les jeux comme moteur du progrès scientifique », CultureEnJeu magazine, No 54, 2017  (in Press)
  • Andres Perez-Uribe, Grégoire Aubert, Julien Rebetez, Alexandre Grillon, Hector Satizabal, and Louis Reymondin, « Forest Defenders: Have fun while fighting deforestation », Gamification and Serious Games Symposium, Neuchatel, June 30-July 1, 2017 (accepted)

In-vitro neural activity classification, feature extraction, neural networks

  • A. Perez-Uribe and H.F. Satizabal, “Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity“, LNCS, vol. 7552, 2012, pp. 201-208

Complete list of publications

April, 2017