Short bio Publication List Students Others

  1. Detecting Traces of Self-harm in Social Media: A Simple and Interpretable Approach. Juan Aguilera, Delia Irazú Hernández Farías, Manuel Montes-y-Gómez, Luis C González. Mexican International Conference on Artificial Intelligence, 196-207.
  2. [Journal]. Detecting Mental Disorders in Social Media Through Emotional Patterns-The case of Anorexia and Depression. ME Aragon, AP Lopez-Monroy, LCG Gonzalez-Gurrola, M Montes. IEEE Transactions on Affective Computing

  3. 2020

  4. [Journal]. Exploring Convolutional Neural Networks Architectures for the Classification of Hand-Drawn Shapes in Learning Therapy Applications D Ruiz Vazquez, G Ramírez Alonso, LC González Gurrola. Computación y Sistemas 24 (4), 1483-1497
  5. Brain Tumor Segmentation using an Encoder-Decoder Network with a Multiscale Feature Module. O Prieto-Ordáz, G Ramírez-Alonso, LC González, R López-Santillán. 2020 IEEE International Autumn Meeting on Power, Electronics and Computing.
  6. Attention to Emotions: Detecting Mental Disorders in Social Media. ME Aragón, AP López-Monroy, LC González, M Montes-y-Gómez. International Conference on Text, Speech, and Dialogue, 231-239
  7. UACh at MEX-A3T 2020: Detecting Aggressive Tweets by Incorporating Author and Message Context. M Casavantes, R López, LC González-Gurrola. IberLEF@ SEPLN, 273-279
  8. [Journal]. From neighbors to strengths-the k-strongest strengths (kSS) classification algorithm. J Aguilera, LC González, M Montes-y-Gómez, R López, HJ Escalante. Pattern Recognition Letters 136, 301-308
  9. [Journal]. Richer Document Embeddings for Author Profiling tasks based on a heuristic search. R López-Santillán, M Montes-Y-Gómez, LC González-Gurrola. Information Processing & Management 57 (4), 102227

  10. 2019

  11. [Journal]. Becoming smarter at characterizing potholes and speed bumps from smartphone data - Introducing a second-generation inference problem. R Carlos, LC Gonzalez, J Wahlström, R Cornejo, F Martínez. IEEE Transactions on Mobile Computing
  12. [Journal]. How smartphone accelerometers reveal aggressive driving behavior?—The key is the representation. MR Carlos, LC González, J Wahlström, G Ramírez, F Martínez, G Runger. IEEE Transactions on Intelligent Transportation Systems 21 (8), 3377-3387
  13. [Journal]. Bagging-RandomMiner: A one-class classifier for file access-based masquerade detection. JB Camiña, MA Medina-Pérez, R Monroy, O Loyola-González. Machine Vision and Applications 30 (5), 959-974
  14. Detecting depression in social media using fine-grained emotions. ME Aragón, AP López-Monroy, LC González-Gurrola, M Montes. Proceedings of the 2019 Conference of the North American Chapter of the …
  15. UACh-INAOE at HASOC 2019: Detecting Aggressive Tweets by Incorporating Authors' Traits as Descriptors. M Casavantes, R López, LC González-Gurrola, M Montes-y-Gómez. FIRE (Working Notes), 300-307
  16. An Evolutionary Approach to Build User Representations for Profiling of Bots and Humans in Twitter. JR López-Santillán, LC González-Gurrola, M Montes Y Gómez. CLEF 2019 Labs and Workshops, Notebook Papers., 2019
  17. UACh at MEX-A3T 2019: Preliminary Results on Detecting Aggressive Tweets by Adding Author Information Via an Unsupervised Strategy. M Casavantes, R López-Santillán, LC González. Proceedings of the First Workshop for Iberian Languages Evaluation Forum …
  18. An Optimization Vehicle Routing Problem Approached by Bio-inspired Algorithms—A Real Case Study. E Matos, F Gaxiola, LC González-Gurrola, A Manzo-Martinez. Applied Decision-Making, 27-44

  19. 2018

  20. A new weighted k-nearest neighbor algorithm based on newton’s gravitational force. J Aguilera, LC González, M Montes-y-Gómez, P Rosso. Iberoamerican Congress on Pattern Recognition, 305-313
  21. Custom document embeddings via the centroids method: Gender classification in an author profiling task. R López-Santillán, L Gonzalez-Gurrola, G Ramfrez-Alonso. Proceedings of the Ninth International Conference of the CLEF Association.
  22. [Journal]. A genetic programming approach for driving score calculation in the context of intelligent transportation systems. JR López, LC González, J Wahlström, MM y Gómez, L Trujillo. IEEE Sensors Journal 18 (17), 7183-7192
  23. [Journal]. How am i driving? Using genetic programming to generate scoring functions for urban driving behavior. R López, LC González Gurrola, L Trujillo, O Prieto, G Ramírez, A Posada. Mathematical and Computational Applications 23 (2), 19
  24. [Journal]. Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings—Addressing Who’s Who. MR Carlos, ME Aragón, LC González, HJ Escalante, F Martínez. IEEE Transactions on Intelligent Transportation Systems 19 (10), 3334-3343.

  25. 2017

  26. [Journal]. Learning roadway surface disruption patterns using the bag of words representation. LC González, R Moreno, HJ Escalante, F Martínez, MR Carlos. IEEE Transactions on Intelligent Transportation Systems 18 (11), 2916-2928.
  27. UACH-INAOE participation at eRisk2017. AA Farıas-Anzaldúa, M Montes-y-Gómez, AP López-Monroy. Proceedings Conference and Labs of the Evaluation Forum CLEF 1866

  28. 2016

  29. [Journal]. Time series analysis to forecast drought in the northwest side of Chihuahua, Mexico. D Villazón-Bustillos, HO Rubio-Arias, JÁ Ortega-Gutiérrez. Ecosistemas y recursos agropecuarios 3 (9), 307-315.
  30. Evaluating reorientation strategies for accelerometer data from smartphones for its applications. MR Carlos, LC González, F Martínez, R Cornejo. Ubiquitous Computing and Ambient Intelligence, 407-418
  31. A machine learning pipeline to automatically identify and classify roadway surface disruptions. ME Aragón, MR Carlos, LCG Gurrola, HJ Escalante. Proceedings of the Sixteenth Mexican International Conference on Computer.
  32. Are android smartphones ready to locally execute intelligent algorithms? MR Carlos, F Martínez, R Cornejo, LC González. Mexican International Conference on Artificial Intelligence, 15-25
  33. A statistical comparison of objective functions for the vehicle routing problem with route balancing. J Lozano, LC González-Gurrola, E Rodriguez-Tello, P Lacomme. 2016 Fifteenth Mexican international conference on artificial intelligence.
  34. Deporte¿ Se puede predecir quién ganará con base a patrones estadísticos?. LCG Gurrola. FINGUACH. Revista de Investigación Científica y Tecnológica de la Facultad.

  35. 2015

  36. Location and Activity Detection for Indoor Environments. FM Reyes, LCG Gurrola, HV Estrada. Mexican International Conference on Artificial Intelligence, 574-582
  37. [Journal]. A virtual pebble game to ensemble average graph rigidity. LC González, H Wang, DR Livesay, DJ Jacobs. Algorithms for Molecular Biology.
  38. Comparación Entre las Diferentes Funciones Objetivo Para Balanceo en el Problema de Ruteo de Vehículos con Balanceo de Rutas. LCG Gurrola, JGL Carballo. FINGUACH. Revista de Investigación Científica de la Facultad de Ingeniería.

  39. 2014

  40. PChCT: A Tool to Monitor Child Whereabouts. F Martínez-Reyes, LA Castro, LC González-Gurrola. International Workshop on Ambient Assisted Living, 171-178.
  41. [Journal]. Identifying roadway surface disruptions based on accelerometer patterns. F Martinez, LC Gonzalez, MR Carlos. IEEE Latin America Transactions 12 (3), 455-461.
  42. Un Algoritmo GRASP para un SBRP Aplicado al Transporte de Personal de una Empresa de Manufactura. LCG Gurrola. FINGUACH. Revista de Investigación Científica de la Facultad de Ingeniería
  43. SASVi–Sistema de Asistencia y Seguridad Vial. F Martínez, LC González, MR Carlos. Avances en Tecnologías de Información, 51

  44. 2013

  45. The citizen road watcher–identifying roadway surface disruptions based on accelerometer patterns. LC González-Gurrola, F Martínez-Reyes, MR Carlos-Loya. Ubiquitous computing and ambient intelligence. Context-awareness and context.
  46. Tendencias del procesamiento computacional: bioinformática y cómputo ubicuo. LC González-Gurrola, F Martínez-Reyes. Tecnociencia, Chihuahua 7 (1), 1-6.

  47. 2012

  48. [Journal]. Calculating ensemble averaged descriptions of protein rigidity without sampling. LC Gonzalez, H Wang, DR Livesay, DJ Jacobs. PLoS One 7 (2), e29176.

  49. 2011

  50. Improving protein flexibility predictions by combining statistical sampling with a mean-field virtual pebble game. LC González, DR Livesay, DJ Jacobs. Proceedings of the 2nd ACM Conference on Bioinformatics, Computational .

  51. 2009

  52. [Journal]. Molecular diversity of a North Carolina wastewater treatment plant as revealed by pyrosequencing. N Sanapareddy, TJ Hamp, LC Gonzalez, HA Hilger, AA Fodor, SM Clinton. Applied and environmental microbiology 75 (6), 1688-1696.

  53. 2007

  54. [Journal]. Sequencing by hybridization: an enhanced crossover operator for a hybrid genetic algorithm. CA Brizuela, LC González-Gurrola, A Tchernykh, D Trystram. Journal of Heuristics 13 (3), 209-225.

  55. 2004

  56. A genetic algorithm for the shortest common superstring problem. LC González-Gurrola, CA Brizuela, E Gutiérrez. Ibero-American Conference on Artificial Intelligence, 851-860.
  57. A genetic algorithm for the shortest common superstring problem. LC González, HJ Romero, CA Brizuela. Genetic and Evolutionary Computation Conference, 1305-1306.
  58. An improved genetic algorithm for the sequencing by hybridization problem. CA Brizuela, LC González, HJ Romero. Workshops on Applications of Evolutionary Computation, 11-20.