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Flag of VENEZUELA
merida, venezuela
It's currently 10:26 AM here
Joined October 16, 2016
0 Recommendations

Georges J.

@gjabbour

4.1 (2 reviews)
2.4
2.4
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Flag of VENEZUELA
merida, venezuela
100%
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Data Scientist, Statistician, Systems Engineer, Operations Researcher, Mathematician

I am a System Engineer (Magna Cum Laude), MSc in Statistics and PhD in Applied Sciences (Engineering), with experience in industrial, commercial, Government and academic environments. Since 2002, I am a Professor, Researcher and Thesis Tutor in the following fields: Data Mining, Machine Learning, Artificial Intelligence, Statistics, Optimization, Operations Research, Automatic Speech Processing and Computing. Also, I have 24 years of experience in software developing and IT Support.

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Reviews

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Showing 1 - 2 out of 2 reviews
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3.4
$90.00 USD
Nice discussion about the topic, good explanations
Statistics
Machine Learning (ML)
R Programming Language
K
Flag of Aleksander
@Kamurov
7 years ago
5.0
$75.00 USD
Wonderful Job done! Not only was the work finished within the time, it was explained very well to me ! Would definitely hire again! Fast response time and never tired of my questions.
Matlab and Mathematica
Biotechnology
Valuation & Appraisal
Statistical Analysis
H
Flag of Hamnah K.
@HamnahSK
7 years ago

Experience

Associate Professor

University of Los Andes (Venezuela)
Sep 2002 - Present
My job consists in teaching, researching and thesis tutoring in the following fields: Data Mining, Machine Learning, Artificial Intelligence, Statistics, Optimization, Operations Research, Systems Engineering, Automatic Speech Recognition and Computing.

Software Developer and Consultant

Consein C.A.
Feb 1999 - Feb 2001 (2 years)
- Software Development (Visual Basic, SQL Server, Access, Crystal Reports) - Consulting - Customization/Consulting of ERP Systems (Epicor Software Corporation, Customization Workbench)

Teaching Assistant

University of Los Andes (Venezuela)
May 1995 - Oct 1998 (3 years, 5 months)
- Teaching (Mathematics) - Software Development (Visual Basic, Access, SQL, Unix Shell) - User Support (Unix / Sun Microsystems) - Web Development

Education

PhD in Applied Sciences and Engineering

Universidad de los Andes, Venezuela 2010 - 2016
(6 years)

MSc in Statistics

Universidad de los Andes, Venezuela 2003 - 2007
(4 years)

Bachelor's Degree in Systems Engineering (Specialized in Operations Research)

Universidad de los Andes, Venezuela 1992 - 1998
(6 years)

Publications

Analysis of the factor that influence the training of an HMM through the Cox Regression

Proceedings of the XII CIMENICS, Isla de Margarita, 2014
Analysis of the factor that influence the training of an HMM through the Cox Regression

La Función de Supervivencia y las Redes Neuronales Artificiales, Caso CVG-Venalum (Book)

Editorial Académica Española
This is a book (available in www.amazon.com) where it's described how to estimate the Kaplan-Meier survival function using artificial neural networks (ANNs).

Automatic phoneme recognition in Venezuelan continuous speech based on HMMs and ANNs hybrid systems

Revista Ciencia e Ingeniería
In this paper we propose and test two hybrid approaches based on hidden Markov models (HMMs) and artificial neural networks (ANNs) for automatic speech recognition. The performance of these hybrid approaches is compared to the performance of a recognizer based on HMMs only (the HMM recognizer).

Analysis of the Efficiency of Weighted Median-based Signal Reconstruction Through Cox Regression

Revista Universidad, Ciencia y Tecnología
In this paper, the efficiency of the algorithm for compressive sensing (CS) signal reconstruction based on weighted median regression (WMR) is analyzed through a Cox-regression model. We perform 1620 reconstructions for signals with different dimension (N), sparsity (K), number of measurements (M) and regularization parameter (α) that induces sparsity in the solution.

Comparison of Venezuela´s minimum wage purchasing power with that in other four countries in 2008

Revista Economía
This paper compares Venezuela´s minimum wage purchasing power with that in Argentina, Colombia, Chile and Peru, using data mining. Using Bayesian networks it was found that the consumption pattern for the 108 goods considered is similar in these countries. The order of countries according to their minimum wage purchasing power from highest to lowest was found to be Argentina, Chile, Colombia, Venezuela and Peru.

A hybrid system based on HMM and SVM for phone recognition in venezuelan continuous speech

Revista Ingeniería (University of Carabobo)
The performance of an automatic speech recognizer based on Hidden Markov Models (HMMs) and Support Vector Machines (SVMs) is here compared to the performance of two other recognizers: one based on HMMs only (the HMM recognizer), and the other is a hybrid model based on HMMs and SVMs (the HMM/SVM recognizer). The recognition tests performed showed a significantly better performance of the hybrid recognizers when compared to that of the recognizers based on the HMMs only.

Scholarly Gratitude in Five Geographical Contexts in Medical Discourse (1950–2010)

Scientometrics (Springer)
This study analyzed the use of acknowledgements in medical articles published in five countries (Venezuela, Spain, France, UK and USA) from 1950 to 2010. For each country, we selected 54 papers (18 research papers, 18 reviews and 18 case reports), evenly distributed over six decades. We conclude that the concept of intellectual indebtedness does not only differ from one geographical context to another, but also over time and from one academic genre to another.

Off-line Signature Recognition Using Support Vector Machines

Revista Ciencia e Ingeniería
This paper presents two approaches for static signature recognition using Support Vector Machines (SVM): pure SVM and SVM integrated with a multilayer perceptron Artificial Neural Network (SVM/ANN) to map the results of the SVM. A practical advantage of SVM/ANN architecture was decreasing the error of confusing the actual signer with another one: when the model misclassified a signer, instead of classifying it as a wrong signer, the proposed architecture recognized it as unknown.

A Sandstones Classification Model

Revista Ciencia e Ingeniería
In this paper, a deterministic discriminant model to classify sandstones belonging to the clastic sedimentary rocks, is formulated. This model represents the triangular diagrams of the Pettijohn, Potter and Siever’s classification method, which is the most used in the clastic sedimentary petrology studies, because of its treatment of the component elements. The results show that the model classifies without error all types of sandstones, with a very simple computational code.

A Hybrid HMM/ANN Method for Stock Index Forecasting

Revista Ciencia e Ingeniería
In this paper we present an hybrid method that combines Artificial Neural Networks (ANN) and Hidden Markov Models (HMM) to forecast Stock Indexes. The aim of this research was to compare the predictions of the hybrid method (for stock indexes) with those generated by pure ANNs. The experiments were carried out with 15 stock indexes. The results show that the hybrid method greatly surpass those of ANNs, not only for its precision but its ability to detect patterns.

Redes Neuronales Artificiales a Partir de la Función de Supervivencia de Kaplan-Meier

Actualidad Contable FACES
In this research, we estimate the Kaplan-Meier survival function using an artificial neural network (ANNs). The results demonstrate that the models of artificial neural networks allow the managing of survival data without needing to impose departure assumptions in the mentioned models. Thus, it is evident the potential of the ANNs to evaluate the partial information from a censured data set of survival.

Prediction of financial time series with Time-Line Hidden Markov Experts and ANNs

WSEAS Transactions on Business and Economics
In this paper, the use of Time-Line Hidden Markov Experts (THME) in the prediction of financial time series is presented and its efficiency is compared with that obtained using multilayer perceptron neural networks trained with BKP. Experiments were carried out with 15 series of financial time series in which most of the world’s bursatile indexes can be found. The results show that THME models greatly surpass those of Artificial Neural Networks.

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