{"id":86,"date":"2015-11-24T13:13:19","date_gmt":"2015-11-24T13:13:19","guid":{"rendered":"http:\/\/iict-space.heig-vd.ch\/ape\/?page_id=86"},"modified":"2025-07-08T10:38:14","modified_gmt":"2025-07-08T10:38:14","slug":"publications","status":"publish","type":"page","link":"http:\/\/iict-space.heig-vd.ch\/ape\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p><strong>Machine Learning for wearable sensor data; computer vision<\/strong><\/p>\n<ul>\n<li>Beno\u00eet Hohl, Hector-F. Satizabal and Andres Perez-Uribe, &#8220;<strong>Unveiling the Potential of Synthetic Data in Sports Science: A Comparative Study of Generative Methods<\/strong>&#8220;, In: Wand, M., Malinovsk\u00e1, K., Schmidhuber, J., Tetko, I.V. (eds) Artificial Neural Networks and Machine Learning \u2013 ICANN 2024. Lecture Notes in Computer Science, vol 15023. Springer, Cham., <span style=\"font-size: 15px\">pp. 162\u2013175, <\/span>2024<\/li>\n<li>Izadmehr, Yasaman, Kamiar Aminian, and Andres Perez-Uribe. &#8220;<strong>Enhancing hand and object detection for monitoring patients with upper-limb impairment: a study on the impact of input size in foundation models.<\/strong>&#8221; In <i>2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)<\/i>, pp. 4702-4707. IEEE, 2023.<\/li>\n<li>Izadmehr, Yasaman, H\u00e9ctor F. Satiz\u00e1bal, Kamiar Aminian, and Andres Perez-Uribe. &#8220;<strong>Depth Estimation for Egocentric Rehabilitation Monitoring Using Deep Learning Algorithms<\/strong>.&#8221; <i>Applied Sciences<\/i> 12, no. 13 (2022): 6578.<\/li>\n<li>Tolosana, Ruben, Paula Delgado-Santos, Andres Perez-Uribe, Ruben Vera-Rodriguez, Julian Fierrez, and Aythami Morales. <strong>&#8220;DeepWriteSYN: On-line handwriting synthesis via deep short-term representations.&#8221;<\/strong> In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 1, pp. 600-608. 2021.<\/li>\n<li>Ricardo Mu\u00f1oz Bocanegra, Jes\u00fas Alfonso L\u00f3pez, H\u00e9ctor Satizabal and Andr\u00e9s P\u00e9rez Uribe, &#8220;<strong>Fruit and Vegetable Information System Using Embedded Convolutional Neural Networks.<\/strong>&#8221; In Proceedings of 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 11-15 November 2019, Guayaquil, Ecuador. 11-15 November 2019, 2019.<\/li>\n<li>Richoz, S., Perez-Uribe, A., Birch, P., &amp; Roggen, D.. &#8220;<strong>Benchmarking deep classifiers on mobile devices for vision-based transportation recognition<\/strong>.&#8221; In Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers,\u00a02019, pp. 803-807<\/li>\n<li>Sebastien Richoz, Mathis Ciliberto, Lin Wang, Philip Birch,\u00a0Hristijan Gjoreski, Andres Perez-Uribe, and Daniel\u00a0Roggen, &#8220;<span style=\"font-size: 16px\"><strong>Human and Machine Recognition of Transportation Modes from Body-Worn Camera Images<\/strong>&#8220;, In 2019 Joint 8th International Conference on Informatics, Electronics &amp; Vision (ICIEV) and 2019 3rd International Conference on Imaging, Vision &amp; Pattern Recognition (icIVPR), pp. 67-72. IEEE, 2019.<\/span><\/li>\n<li>Andres Perez-Uribe, Hector-Fabio Satizabal-Mejia, \u00ab\u00a0<strong>High-level activity recognition for cognitive support in older adults<\/strong>\u00bb, In FTAL conference on Industrial Applied Data Science, Lugano, 18-19 October, 2018, pp. 9-10<\/li>\n<li>Sabbani Imad, Perez-Uribe Andres, Bouattane Omar, El Moudni Abdellah, \u00ab\u00a0<strong>Deep convolutional neural network architecture for urban traffic flow estimation<\/strong>\u00a0\u00bb, International Journal of Computer Science and Network Security, Vol 18, No 7, 2018, pp. 69-75<\/li>\n<li>Chabloz, Olivier, David Da Silva \u00c4ndrade, Andres Upegui, Hector F. Satiz\u00e1bal, and Andres Perez-Uribe. &#8220;<strong>DiscoveryTree: Relative localization based on multi-hop BLE beacons<\/strong>.&#8221; In 2017 Global Internet of Things Summit (GIoTS), pp. 1-6. IEEE, 2017.<\/li>\n<li>H. Satizabal, A. Grillon,\u00a0A. Upegui, G. Millet, G. Picasso, A. Perez-Uribe,\u00a0\u201c<strong>ActiDote &#8211; A wireless sensor-based system for self-tracking activity levels among manual wheelchair users<\/strong>\u201d, EAI Endorsed Transactions on Pervasive Health and Technology, 17(12): e5, 2017<\/li>\n<li>A. Grillon, A. Perez-Uribe, H. Satizabal, L. Gantel, D. Da Silva Andrade, A. Upegui, and F.\u00a0Degache, &#8220;<strong>A wireless sensor-based system for self-tracking activity levels among manual wheelchair users<\/strong>&#8220;, eHealth 360\u00b0, 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<\/li>\n<li>Zhu, Zack, H\u00e9ctor F. Satiz\u00e1bal, Ulf Blanke, Andres Perez-Uribe, and Gerhard Tr\u00f6ster. &#8220;<strong>Naturalistic recognition of activities and mood using wearable electronics<\/strong>.&#8221; IEEE Transactions on Affective Computing 7, no. 3 (2016): 272-285.<\/li>\n<li>H.F. Satizabal and A. Perez-Uribe, &#8220;<b>Unsupervised template discovery in activity recognition using the Gamma Growing Neural Gas algorithm&#8221;<\/b>\u00a0Soft Computing, Springer Verlag, November 2014, pp. 1-11.<\/li>\n<li>J. Rebetez, H.F. Satizabal, A. Perez-Uribe,\u00a0<b>&#8220;Reducing User Intervention in Incremental Activity Recognition for Assistive Technologies&#8221;<\/b>, , Proceedings of the 17th Annual International Symposium on International Symposium on Wearable Computers (ISWC&#8217;2013). ACM, New York, NY, USA, pp. 29-32.<\/li>\n<li>B. Delachaux, J. Rebetez, A. Perez-Uribe and H.F. Satizabal,\u00a0<b>&#8220;Indoor activity recognition by combining one-vs-all neural network classifiers exploiting wearable and depth sensors&#8221;<\/b>, Rojas, G. Joya, and J. Cabestany (Eds.): IWANN 2013, Part II, LNCS 7903, pp. 216-223, 2013.<\/li>\n<li>H.F. Satizabal, J. Rebetez and A. Perez-Uribe,\u00a0<b>&#8220;Semi-Supervised Discovery of Time-Series Templates for Gesture Spotting in Activity Recognition&#8221;<\/b>, Proceedings if the 2nd International Conference in Pattern Recognition Applications and Methods, Barcelona, 2013.<\/li>\n<\/ul>\n<p><strong>Machine learning for agroecological modeling; remote sensing<\/strong><\/p>\n<ul>\n<li>Lotfian, M., Walther, S., Egger, M., D\u2019Ancona, O., Perez-Uribe, A., and Ingensand, J.,&#8221;<strong>Evaluating the role of human and environmental factors causing the distribution of invasive plant species in the cantons of Vaud and Neuch\u00e2tel in Switzerland&#8221;<\/strong>, AGILE GIScience Ser., 6, 37, https:\/\/doi.org\/10.5194\/agile-giss-6-37-2025, 2025.<\/li>\n<li>Walther, Simon, Leonard Cseres, R\u00e9my Marquis, Bertil Chapuis, and Andres Perez-Uribe. &#8220;<strong>Diving into Supraglacial Lakes Detection: a Deep Semantic Segmentation Approach<\/strong>.&#8221; In <i>Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems<\/i>, pp. 1-4. 2023.<\/li>\n<li>Louis Reymondin and Andres Perez-Uribe, <a href=\"https:\/\/aihub.org\/2021\/10\/06\/ai-tools-for-assessing-zero-deforestation-commitments-in-vietnam\/\">&#8220;AI tools for assessing zero-deforestation commitments in Vietnam&#8221;<\/a>, AIhub blog, \u00a06.10.2021<\/li>\n<li>Satiz\u00e1bal, H\u00e9ctor F., and Andres Perez-Uribe. <strong>&#8220;Learning Image Segmentation from Few Annotations.&#8221;<\/strong> In <i>International Work-Conference on Artificial Neural Networks<\/i>, pp. 510-522. Springer, Cham, 2021.<\/li>\n<li>Andres Perez-Uribe, Hector-Fabio Satizabal-Mejia, Julien Rebetez, \u00ab\u00a0<strong>Big Data system for pantropical land- cover change monitoring<\/strong>\u00a0\u00bb, In FTAL conference on Industrial Applied Data Science, Lugano, 18-19 October, 2018, pp. 20-21<\/li>\n<li>Julien Rebetez, Hector F. Satizabal, Matteo Mota, Dorothea Noll, Lucie B\u00fcchi, Marina Wendling, Bertrand Cannelle, Andres Perez-Uribe and St\u00e9phane Burgos, &#8220;<strong>Augmenting a convolutional neural network with local histograms &#8211; A case study in crop classification from high-resolution UAV imagery&#8221;\u00a0<\/strong>, Proceedings of the European Symposium on Artificial Neural Networks, ESANN\u201916.<\/li>\n<li>Reymondin, Louis, et al. &#8220;<strong>A methodology for near real-time monitoring of habitat change at continental scales using MODIS-NDVI and TRMM<\/strong>.&#8221; Submitted Remote Sensing of Environment.<\/li>\n<li>Satizabal, H.-F., Barreto-Sanz, M., Jimenez. D., Perez-Uribe, A., and Cock James,\u00a0&#8220;<strong>Enhancing Decision-Making Processes of Small Farmers in Tropical Crops by Means of Machine Learning Models<\/strong>&#8220;, Technologies and Innovation for Development, Chapter 18, 2012, pp. 265-277.<\/li>\n<li>Daniel Jimenez, James Cock, Andy Jarvis, James Garcia, Hector F. Satizabal, Patrick Van Damme, Andres Perez-Uribe, Miguel A. Barreto-Sanz,\u00a0<b>Interpretation of commercial production information: A case study of lulo (Solanum quitoense), an under-researched Andean fruit<\/b>, Agricultural Systems, Volume 104, Issue 3, March 2011, Pages 258-270.<\/li>\n<li>Barreto, M., Perez-Uribe, A., Pena-Reyes, C.A., and Tomassini M.\u00a0<b>&#8220;Tuning Parameters in the Fuzzy Growing Hierarchical Self-Organizing Networks&#8221;<\/b>, Studies in Computational Intelligence series, Springer Verlag, Vol 258, 2009, pp. 261-280<\/li>\n<li>Satizabal H.F., Perez-Uribe, A.., and Tomassini M.\u00a0<b>&#8220;Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets&#8221;<\/b>, Studies in Computational Intelligence series, Springer Verlag, Vol 258, 2009, pp. 243-260<\/li>\n<li>Daniel Jimenez, James Cock, Hector Satizabal, Miguel Barreto, Andres Perez-Uribe, Andy Jarvis and Patrick Van Damme,\u00a0<b>&#8220;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&#8221;<\/b>, Computer and Eletronics in Agriculture, Elsevier, Vol 69, 2009, pp. 198-208<\/li>\n<li>Sae-Tang A., Perez-Uribe, A., Jarvis A.,\u00a0<b>\u201cArtificial Neural Network Models for Identifying Novelties in Vegetation Time Series\u201d<\/b>, The 6th European Conf. on Ecological Modelling, Trieste, Italy. November 27-30, 2007, pp. 452-453.<\/li>\n<\/ul>\n<p><strong>Autonomous robots, artificial intelligence<\/strong><\/p>\n<ul>\n<li>A. P\u00e9rez-Uribe,<strong> <a href=\"https:\/\/raccefyn.co\/index.php\/raccefyn\/article\/view\/el-camino-hacia-una-memoria-asociativa-del-conocimiento-humano\">&#8220;El camino hacia una memoria asociativa del conocimiento humano&#8221;<\/a><\/strong>, <i>Revista De La Academia Colombiana De Ciencias Exactas, F\u00edsicas Y Naturales<\/i>, <i>48<\/i>(189), 957-960.<\/li>\n<li>Gonz\u00e1lez, Francisco J., H\u00e9ctor F. Satiz\u00e1bal, Andres Perez-Uribe, and Jes\u00fas A. L\u00f3pez. &#8220;<strong>DCGAN Model Used To Generate Body Gestures On a Human-Humanoid Interaction System<\/strong>.&#8221; In <i>2019 IEEE Colombian Conference on Applications in Computational Intelligence (ColCACI)<\/i>, pp. 1-5. IEEE, 2019.<\/li>\n<li>Andres Perez-Uribe, Hector Fabio Satizabal-Mejia, Francisco Gonzales Lopez, \u00ab\u00a0<strong>Endowing humanoid robots with the capability of reading and reacting to human body language<\/strong>\u00a0\u00bb, In FTAL conference on Industrial Applied Data Science, Lugano, 18-19 October, 2018, pp. 38-39<\/li>\n<li>Alvarez-Charris, David C., Andr\u00e9s P\u00e9rez-Uribe, H\u00e9ctor F. Satiz\u00e1bal, and Jes\u00fas A. Lopez. &#8220;<strong>EvoBoids: Co-design of a physical and virtual game using Artificial Evolution<\/strong>&#8221; In Computational Intelligence (SSCI), 2016 IEEE Symposium Series on, pp. 1-8. IEEE, 2016.<\/li>\n<li>A. P\u00e9rez-Uribe, \u00ab <strong>Les chercheurs en IA r\u00eavent-ils de robots SF ?<\/strong> &#8220;, Catalogue de l\u2019exposition \u00ab Portrait-Robot \u00bb du mus\u00e9e La Maison d\u2019Ailleurs, June 2015<\/li>\n<li>H.F. Satizabal, A. Upegui, A. Perez-Uribe, F. Mondada and P. Retornaz,\u00a0<strong>A Social Approach for Target Localization: Simulation and Implementation in the marXbot Robot<\/strong>, Memetic Computing, Springer Verlag, Vol. 3, No 4, 2011, pp. 245-259.<\/li>\n<\/ul>\n<p><strong>Gamification<\/strong><\/p>\n<ul>\n<li>A. Perez-Uribe, \u00ab\u00a0<strong>Les jeux comme moteur du progr\u00e8s scientifique<\/strong>\u00a0\u00bb, CultureEnJeu magazine, No 54, 2017.<\/li>\n<li>Andres Perez-Uribe, Gr\u00e9goire Aubert, Julien Rebetez, Alexandre Grillon, Hector Satizabal, and Louis Reymondin, \u00ab <strong>Forest Defenders: Have fun while fighting deforestation<\/strong> \u00bb, 2nd Gamification and Serious Game Symposium, Neuchatel, June 30-July 1, 2017, pp. 73-74.<\/li>\n<\/ul>\n<p><strong>Machine learning for biotechnology; cancer research<\/strong><\/p>\n<ul>\n<li>Martinez-Usatorre, A., Ciarloni, L., Angelino, P., Wosika, V., Conforte, A. J., Fonseca Costa, S. S., Durandau, E., Monnier-Benoit, S., Satizabal, H. F., Despraz, J., Perez-Uribe, A., Delorenzi, M., Morgenthaler, S., Hashemi, B., Hadadi, N., Hosseinian-Ehrensberger, S., &amp; Romero, P. J. (2024). <strong>Human blood cell transcriptomics unveils dynamic systemic immune modulation along colorectal cancer progression<\/strong>.\u00a0<i>Journal for immunotherapy of cancer<\/i>,\u00a0<i>12<\/i>(11), e009888.<\/li>\n<li>A. Perez-Uribe and H.F. Satizabal,\u00a0&#8220;<strong>Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity<\/strong>&#8220;, LNCS, vol. 7552, 2012, pp. 201-208.<\/li>\n<\/ul>\n<p><strong><a href=\"http:\/\/iict-space.heig-vd.ch\/ape\/publications\/complete-list-of-publications\/\">Complete list of publications (until 2018)<\/a><\/strong><\/p>\n<p><i>June, 2025\u00a0<\/i><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Machine Learning for wearable sensor data; computer vision Beno\u00eet Hohl, Hector-F. Satizabal and Andres Perez-Uribe, &#8220;Unveiling the Potential of Synthetic Data in Sports Science: A Comparative Study of Generative Methods&#8220;, In: Wand, M., Malinovsk\u00e1, K., Schmidhuber, J., Tetko, I.V. (eds) <a class=\"more-link\" href=\"http:\/\/iict-space.heig-vd.ch\/ape\/publications\/\">Continue reading <span class=\"screen-reader-text\">  Publications<\/span><span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/iict-space.heig-vd.ch\/ape\/wp-json\/wp\/v2\/pages\/86"}],"collection":[{"href":"http:\/\/iict-space.heig-vd.ch\/ape\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/iict-space.heig-vd.ch\/ape\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/iict-space.heig-vd.ch\/ape\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"http:\/\/iict-space.heig-vd.ch\/ape\/wp-json\/wp\/v2\/comments?post=86"}],"version-history":[{"count":58,"href":"http:\/\/iict-space.heig-vd.ch\/ape\/wp-json\/wp\/v2\/pages\/86\/revisions"}],"predecessor-version":[{"id":722,"href":"http:\/\/iict-space.heig-vd.ch\/ape\/wp-json\/wp\/v2\/pages\/86\/revisions\/722"}],"wp:attachment":[{"href":"http:\/\/iict-space.heig-vd.ch\/ape\/wp-json\/wp\/v2\/media?parent=86"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}