The Citizen Road Watcher - Identifying Roadway Surface Disruptions Based on Accelerometer Patterns. - Luis Carlos González-Gurrola; Fernando Martínez-Reyes; Manuel Ricardo Carlos-Loya (UCAmI, 2013)

A Machine Learning Pipeline to Automatically Identify and Classify Roadway Surface Disruptions. - Mario Ezra Aragón; Manuel Ricardo Carlos; Luis Carlos González-Gurrola; Hugo Jair Escalante (ENC, 2016)

Are Android Smartphones Ready to Locally Execute Intelligent Algorithms? - Manuel Ricardo Carlos-Loya; Fernando Martínez 002; Raymundo Cornejo; Luis C. González (MICAI (2), 2016)

Evaluating Reorientation Strategies for Accelerometer Data from Smartphones for ITS Applications. - Manuel Ricardo Carlos-Loya; Luis C. González; Fernando Martínez 002; Raymundo Cornejo (UCAmI (2), 2016)

Learning Roadway Surface Disruption Patterns Using the Bag of Words Representation. - Luis Carlos González-Gurrola; Ricardo Moreno; Hugo Jair Escalante; Fernando Martínez 002; Manuel Ricardo Carlos (IEEE Trans. Intell. Transp. Syst., 2017)

Evaluation of Detection Approaches for Road Anomalies Based on Accelerometer Readings - Addressing Who's Who. - Manuel Ricardo Carlos-Loya; Mario Ezra Aragón; Luis Carlos González-Gurrola; Hugo Jair Escalante; Fernando Martínez 002 (IEEE Trans. Intell. Transp. Syst., 2018)

A Machine Learning Approach for Smartphone-based Sensing of Roads and Driving Style. - Manuel Ricardo Carlos (CoRR, 2019)

How Smartphone Accelerometers Reveal Aggressive Driving Behavior? - The Key is the Representation. - Manuel Ricardo Carlos; Luis Carlos González-Gurrola; Johan Wahlström; Graciela Ramírez Alonso; Fernando Martínez 002; George Runger (IEEE Trans. Intell. Transp. Syst., 2020)

Becoming Smarter at Characterizing Potholes and Speed Bumps from Smartphone Data - Introducing a Second-Generation Inference Problem. - Manuel Ricardo Carlos; Luis Carlos González-Gurrola; Johan Wahlström; Raymundo Cornejo; Fernando Martínez 002 (IEEE Trans. Mob. Comput., 2021)