A5032936769- Data Mining Algorithms and Applications
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Rough Sets and Fuzzy Logic
- Biometric Identification and Security
- Neural Networks and Applications
- Vehicle License Plate Recognition
- Electricity Theft Detection Techniques
- Fuzzy Logic and Control Systems
- Dermatoglyphics and Human Traits
- Optimization and Packing Problems
- User Authentication and Security Systems
- Data Stream Mining Techniques
- Advanced Manufacturing and Logistics Optimization
- Forensic and Genetic Research
- Evolutionary Algorithms and Applications
- Advanced Clustering Algorithms Research
- Data Management and Algorithms
- Smart Agriculture and AI
- Anomaly Detection Techniques and Applications
- Algorithms and Data Compression
- Machine Learning and Algorithms
- Financial Distress and Bankruptcy Prediction
- Forensic Fingerprint Detection Methods
- Plant tissue culture and regeneration
University of Havana
2017-2023
Polytechnic José Antonio Echeverría
2014-2021
Instituto Politécnico Nacional
2015-2020
National Institute of Astrophysics, Optics and Electronics
2009-2015
Universidad de Ciego de Ávila
2005-2013
Improving fingerprint matching algorithms is an active and important research area in recognition. Algorithms based on minutia triplets, matcher family, present some drawbacks that impact their accuracy, such as dependency to the order of minutiae feature, insensitivity reflection directions relative sides triangle. To alleviate these drawbacks, we introduce this paper a novel algorithm, named M3gl. This algorithm contains three components: new feature representation containing...
Nowadays, the international scientific community of machine learning has an enormous campaign in favor creating understandable models instead black-box models. The main reason is that experts application area are showing reluctance due to cannot be understood by them, and consequently, their results difficult explained. In unsupervised problems, where have not labeled objects, obtaining explanation necessary because specialists need understand both applied model as well obtained for finding...
Emerging pattern mining is a data task that aims to discover discriminative patterns, which can describe emerging behavior with respect property of interest. In recent years, the description datasets has become an interesting field due easy acquisition knowledge by experts. this review, we will focus on descriptive point view task. We collect existing approaches have been proposed in literature and group them together taxonomy order obtain general vision A complete empirical study...
In several problems, contrast pattern-based classifiers produce high accuracy and provide an explanation of the result in terms patterns used for classification. However, class imbalance problems are a great challenge these because there exist significantly fewer objects belonging to regarding remaining classes this biases classification majority class. Therefore, paper, we propose algorithm discovering cost-sensitive classifier which uses Our proposal follows idea fusing pattern discovery...
This paper presents a new public available database for latent palmprint identification. Latent identification is an important research area which includes scientific challenges as well social interest. palmprints appear frequently in criminal investigations so developing accurate systems critical solving these investigations. several pattern recognition such matching, feature extraction, and image processing. The lack of databases has limited advances state-of-the-art researches. presented...
Temporary Immersion Bioreactors (TIBs) are used for increasing plant quality and multiplication rates. These TIBs actioned by mean of a pneumatic system. A failure in the system could produce severe damages into TIB. Consequently, whole biological process would be aborted, production cost. Therefore, an important task is to detect failures on temporary immersion bioreactor In this paper, we propose approach using contrast pattern based classifier. We show that our proposal, detecting TIB,...
Fingerprint verification has become one of the most active research areas nowadays. A key component an accurate fingerprint system is matching algorithm. An algorithm uses a robust representation. In this paper, we introduce m-triplets, new minutiae triplet representation and similarity for verification. The proposed shifts triplets to find best correspondence it rules that discard not without comparing whole representation; hence, achieving high speed. To test quality introduced similarity,...
Measuring the quality of a contrast pattern is an active and relevant area recognition data mining. Quality measures are important tools in very different scenarios like supervised classification, based clustering, associat