Medina-Perez, Miguel Angel

Positions

Core Researcher, Machine Learning , School of Engineering and Sciences
Machine Learning, School of Engineering and Sciences , Tecnológico de Monterrey

I have developed software to solve pattern recognition problems. A successful example is the algorithm DMC which is the most accurate (according to EER) among those algorithms which compare both fingerprints and palmprints in the international competition FVC-onGoing. I have been involved in several research projects about pattern recognition and I have published 14 papers in indexed journals (JCR) such as "Information Fusion," "Knowledge-Based Systems," "Information Sciences," "Neurocomputing," "Pattern Recognition," and "IEEE Transactions on Information Forensics and Security."

Research Areas

Contact

migue@tec.mx

Websites

Publications
Background
Campus
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Selected publications

academic article
- WebMC for Browser Based Protocol Verification
academicarticlesco
- Cluster validation in clustering-based one-class classification. Expert Systems. 36. 2019
- A survey on minutiae-based palmprint feature representations, and a full analysis of palmprint feature representation role in latent identification performance. Expert Systems with Applications. 131:30-44. 2019
- Pattern-based and visual analytics for visitor analysis on websites. Applied Sciences (Switzerland). 9. 2019
- Bagging-RandomMiner: a one-class classifier for file access-based masquerade detection. Machine Vision and Applications. 30:959-974. 2019
- Fusing pattern discovery and visual analytics approaches in tweet propagation. Information Fusion. 46:91-101. 2019
- A pattern-based approach for detecting pneumatic failures on temporary immersion bioreactors. Sensors. 19. 2019
- A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation. IEEE Access. 7:48484-48499. 2019
- Classification Based on Multivariate Contrast Patterns. IEEE Access. 7:55744-55762. 2019
- FiToViz: A Visualisation Approach for Real-Time Risk Situation Awareness. IEEE Transactions on Affective Computing. 9:372-382. 2018
- Cluster validation using an ensemble of supervised classifiers. Knowledge-Based Systems. 145:134-144. 2018
- Some features speak loud, but together they all speak louder: A study on the correlation between classification error and feature usage in decision-tree classification ensembles. Engineering Applications of Artificial Intelligence. 67:270-282. 2018
- Experimenting with masquerade detection via user task usage. International Journal on Interactive Design and Manufacturing. 11:771-784. 2017
- Online personal risk detection based on behavioural and physiological patterns. Information Sciences. 384:281-297. 2017
- Bagging-TPMiner: a classifier ensemble for masquerader detection based on typical objects. Soft Computing. 21:557-569. 2017
- PBC4cip: A new contrast pattern-based classifier for class imbalance problems. Knowledge-Based Systems. 115:100-109. 2017
- Ensemble of one-class classifiers for personal risk detection based onwearable sensor data. Sensors. 16. 2016
- Temporal and Spatial Locality: An Abstraction for Masquerade Detection. IEEE Transactions on Information Forensics and Security. 11:2036-2051. 2016
- Latent fingerprint identification using deformable minutiae clustering. Neurocomputing. 175:851-865. 2016
- Inducing decision trees based on a cluster quality index. IEEE Latin America Transactions. 13:1141-1147. 2015
chapter in scopus
- Stacking Fingerprint Matching Algorithms for Latent Fingerprint Identification. Lecture Notes in Computer Science. 230-240. 2019
- The Mexican Conference on Pattern Recognition After Ten Editions: A Scientometric Study. Lecture Notes in Computer Science. 315-326. 2019
- A first step to accelerating fingerprint matching based on deformable minutiae clustering. Lecture Notes in Computer Science. 361-371. 2018
- An approach based on contrast patterns for bot detection on web log files. Lecture Notes in Computer Science. 276-285. 2018