Marco E. Benalcázar

发表

Mammogram classification using back-propagation neural networks and texture feature descriptors

María Pérez, Marco E. Benalcázar, Eduardo Tusa, 2017, 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM).

Real-time hand gesture recognition using the Myo armband and muscle activity detection

Patricio Zambrano, María Pérez, Marco E. Benalcázar, 2017, 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM).

A User-Specific Hand Gesture Recognition Model Based on Feed-Forward Neural Networks, EMGs, and Correction of Sensor Orientation

Marco E. Benalcázar, Lorena Isabel Barona López, Ángel Leonardo Valdivieso Caraguay, 2020, Applied Sciences.

Optimal clustering under uncertainty

Edward R. Dougherty, Marco E. Benalcázar, Lori A. Dalton, 2018, PloS one.

Real-Time Hand Gesture Recognition: A Long Short-Term Memory Approach with Electromyography

Marco E. Benalcázar, Jonathan A. Zea, 2019 .

Real-Time Face Detection Using Artificial Neural Networks

Víctor H. Andaluz, Marco E. Benalcázar, Pablo S. Aulestia, 2017, ICANN.

Real-Time Hand Gesture Recognition Based on Electromyographic Signals and Artificial Neural Networks

Marco E. Benalcázar, Cristhian Motoche, Cristhian Motoche, 2018, ICANN.

Real-time hand gesture recognition with EMG using machine learning

Marco E. Benalcázar, Andrés G. Jaramillo, A. G. Jaramillo, 2017, 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM).

An Energy-Based Method for Orientation Correction of EMG Bracelet Sensors in Hand Gesture Recognition Systems

Marco E. Benalcázar, Lorena Isabel Barona López, Ángel Leonardo Valdivieso Caraguay, 2020, Sensors.

Hand gesture recognition using machine learning and the Myo armband

Marco E. Benalcázar, Víctor Hugo Andaluz, Jonathan A. Zea, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Technical Mapping of the Grooming Anatomy Using Machine Learning Paradigms: An Information Security Approach

Patricio Zambrano, Marco E. Benalcázar, Jenny Torres, 2019, IEEE Access.

Real-Time Hand Gesture Recognition Model Using Deep Learning Techniques and EMG Signals

Marco E. Benalcázar, Edison A. Chung, Edison A. Chung, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Real-Time Hand Gesture Recognition Based on Artificial Feed-Forward Neural Networks and EMG

Patricio Zambrano, Marco E. Benalcázar, Marco Segura, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Virtual Rehabilitation System for Fine Motor Skills Using a Functional Hand Orthosis

Víctor H. Andaluz, Marco E. Benalcázar, Washington X. Quevedo, 2018, AVR.

Real-Time Hand Gesture Recognition Using KNN-DTW and Leap Motion Controller

Marco E. Benalcázar, Rubén Nogales, 2020 .

A Survey on Hand Gesture Recognition Using Machine Learning and Infrared Information

Marco E. Benalcázar, Ruben Nogales, 2019 .

Risk Analysis and Android Application Penetration Testing Based on OWASP 2016

Marco E. Benalcázar, Thomás Borja, Ángel Leonardo Valdivieso Caraguay, 2021 .

Hand gesture recognition using machine learning and infrared information: a systematic literature review

Marco E. Benalcázar, Rubén Nogales, Rubén Nogales, 2021, International Journal of Machine Learning and Cybernetics.

A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach

Marco E. Benalcázar, Lorena Isabel Barona López, Ángel Leonardo Valdivieso Caraguay, 2021, ICANN.

Construction of a Dataset for Static and Dynamic Hand Tracking Using a Non-invasive Environment

Marco E. Benalcázar, Ruben Nogales, Javier Vargas, 2021 .

Feature Evaluation of EMG Signals for Hand Gesture Recognition Based on Mutual Information, Fuzzy Entropy and RES Index

Marco E. Benalcázar, Jonathan A. Zea, Xavier Aguas, 2021 .

M L ] 2 J un 2 01 8 1 Optimal Clustering under Uncertainty

Marco E. Benalcázar, Lori A. Dalton, E. Dougherty, 2018 .

Classification of Cattle Coat Color Based on Genotype Using Pattern Recognition Methods

Marco E. Benalcázar, D. S. Comas, V. Ballarin, 2015 .

Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces

Marco E. Benalcázar, Sebastian Sardiña, Fabio Zambetta, 2022, AAAI.

Measuring Leaf Area in Soy Plants by HSI Color Model Filtering and Mathematical Morphology

Marco E. Benalcázar, J. Pastore, V. Ballarin, 2011 .

Artificial neural networks applied to statistical design of window operators

Virginia L. Ballarin, Marcel Brun, Marco E. Benalcázar, 2013, Pattern Recognit. Lett..

Educational Impact on Ecuadorian University Students Due to the COVID-19 Context

Marco E. Benalcázar, Victor H. Vimos, Lorena Barona, 2021, Education Sciences.

Real-Time Hand Gesture Recognition Using Surface Electromyography and Machine Learning: A Systematic Literature Review

Marco E. Benalcázar, Marco E Benalcázar, Elisa Mena-Maldonado, 2020, Sensors.

Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks

Marco E. Benalcázar, Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, 2023, Sensors.

Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes

Edward R. Dougherty, Marcel Brun, Marco E. Benalcázar, 2015, IEEE Transactions on Signal Processing.

A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning

Marco E. Benalcázar, Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, 2023, Engineering applications of artificial intelligence.

Short-Term Hand Gesture Recognition using Electromyography in the Transient State, Support Vector Machines, and Discrete Wavelet Transform

Marco E. Benalcázar, Andres Jaramillo-Yanez, Luis Unapanta, 2019, 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI).

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks

Marco E. Benalcázar, Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, 2022, Sensors.

Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms

Giovanni Saggio, Marco E. Benalcázar, Vito Errico, 2020, Sensors.

A Deep Q-Network based hand gesture recognition system for control of robotic platforms

Marco E. Benalcázar, Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, 2023, Scientific reports.

Analysis and Evaluation of Feature Selection and Feature Extraction Methods

Marco E. Benalcázar, Rubén E. Nogales, 2023, International Journal of Computational Intelligence Systems.

A Model for Real-Time Hand Gesture Recognition Using Electromyography (EMG), Covariances and Feed-Forward Artificial Neural Networks

José González, Patricio Zambrano, Marco E. Benalcázar, 2020, 2020 IEEE ANDESCON.

Hand Gesture Recognition Using Automatic Feature Extraction and Deep Learning Algorithms with Memory

Marco E. Benalcázar, Rubén E. Nogales, 2023, Big Data Cogn. Comput..