Gissel Velarde

Gissel Velarde
International University of Applied Sciences

PhD. Computer Science and Engineering (Machine Learning)

About

24
Publications
26,209
Reads
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110
Citations
Additional affiliations
October 2012 - April 2017
Aalborg University
Position
  • PhD Fellow
Education
September 2006 - February 2008
University of Applied Sciences, FH Südwestfallen, Soest, Germany
Field of study
  • Electronic Systems and Engineering Management
January 2000 - December 2004
Universidad Católica Boliviana "San Pablo"
Field of study
  • Systems Engineering
February 1990 - December 2002
Conservatorio Purinacional de Música
Field of study
  • Piano

Publications

Publications (24)
Article
Full-text available
We present a novel method of classification and segmentation of melodies in symbolic representation. The method is based on filtering pitch as a signal over time with the Haar-wavelet, and we evaluate it on two tasks. The filtered signal corresponds to a single-scale signal ws from the continuous Haar wavelet transform. The melodies are first segme...
Thesis
Full-text available
This dissertation presents novel convolution-based methods for music analysis. The aim of this research project was two-fold: first, to design, implement and evaluate a convolution-based automated framework for the analysis of music with applications to music segmentation, pattern discovery, and classification; and second, to study convolution in r...
Article
Full-text available
We present a novel convolution-based method for classification of audio and symbolic representations of music, which we apply to classification of music by style. Pieces of music are first sampled to pitch–time representations (spectrograms or piano-rolls) and then convolved with a Gaussian filter, before being classified by a support vector machin...
Article
Full-text available
This paper introduces an open source and reproducible implementation of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks for time series forecasting. We evaluated LSTM and GRU networks because of their performance reported in related work. We describe our method and its results on two datasets. The first dataset is the S&P BSE...
Conference Paper
Full-text available
This paper evaluates XGboost's performance given different dataset sizes and class distributions, from perfectly balanced to highly imbalanced. XGBoost has been selected for evaluation, as it stands out in several benchmarks due to its detection performance and speed. After introducing the problem of fraud detection, the paper reviews evaluation me...
Presentation
Full-text available
XGboost’s performance is evaluated given different dataset sizes and class distributions, from perfectly balanced to highly imbalanced in applications to fraud detection.
Preprint
Full-text available
This paper presents a method for time series forecasting with deep learning and its assessment on two datasets. The method starts with data preparation, followed by model training and evaluation. The final step is a visual inspection. Experimental work demonstrates that a single time series can be used to train deep learning networks if time series...
Technical Report
Full-text available
This paper presents a method for time series forecasting with deep learning and its assessment on two datasets. The method starts with data preparation, followed by model training and evaluation. The final step is a visual inspection. Experimental work demonstrates that a single time series can be used to train deep learning networks if time series...
Technical Report
Full-text available
This short paper aims to explain why and how to implement a successful Artificial Intelligence and Machine Learning strategy. First, it briefly explains applications that are known to be profitable. It then reviews what is needed to develop and execute a strategy, considering different success criteria and what considerations are necessary to selec...
Conference Paper
Full-text available
Artificial Intelligence (AI) is a trend in innovation and research expected to significantly impact society and firms. However, there are various opinions about its possible effects. This study compares the World Intellectual Property Organization (WIPO) statistics with opinions from 21 AI researchers, self-identified as professors and postdocs. Wi...
Book
Full-text available
Con este trabajo de ciencia, Velarde nos acerca a cuestionamientos actuales, perennes y de la ciencia ficción. Velarde teje una historia cautivante de lo que ella ha llamado la Era artificial, y presenta las predicciones sobre el impacto tecnológico gracias a los avances de la inteligencia artificial.
Book
Full-text available
My research indicates that Bolivia is facing a magnificent opportunity during the fourth industrial revolution, primarily because of Bolivians’ attitude towards entrepreneurship, their youth, and the nature of businesses to be powered by artificial intelligence. The book raises 7 fundamental elements for the execution of a 4.0 strategy as well as 7...
Book
Full-text available
Mi investigación indica que Bolivia está frente a una magnífica oportunidad para aprovechar las circunstancias de la cuarta revolución industrial, sobre todo por la actitud de los bolivianos hacia el emprendimiento, su juventud y la naturaleza de los negocios que pueden ser potenciados por la inteligencia artificial. Pero existen desafios important...
Article
Full-text available
La Inteligencia Artificial posiblemente revolucionará absolutamente todo durante la llamada cuarta revolución industrial, que conlleva varias tecnologías emergentes y puede que progrese sin precedentes en la historia de la humanidad debido a su velocidad y alcances. El gobierno, la academia, la industria y la sociedad civil muestran interés por com...
Preprint
Full-text available
Artificial Intelligence may revolutionize everything during the so-called fourth industrial revolution, which carries several emerging technologies and could progress without precedents in human history due to its speed and scope. Government, academia, industry, and civil society show interest in understanding the multidimensional impact of the eme...
Presentation
Full-text available
Presentación en línea: https://youtu.be/6vkJRqxt9NU, sobre el impacto de la Inteligencia Artificial (AI) en Bolivia, Latinoamérica y el Mundo. La IA será la tecnología omnipresente en la próxima revolución industrial. Se preveen cambios acelerados de dimensiones que superan a las anteriores revoluciones industriales. Las espectativas sobre el impac...
Data
These are the slides of my PhD defense taken place on April 6, 2017, at 13:00 Seminar Room 3.563, Aalborg University, Rendsburggade 14, 9000 Aalborg. The presentation contains convolution-based methods for music analysis developed together with my supervisors Associate Professor David Meredith, Aalborg University and Senior Lecturer Tillman Weyde C...
Conference Paper
Full-text available
We propose a method for music classification based on the use of convolutional models on symbolic pitch–time representations (i.e. piano-rolls) which we apply to composer recognition. An excerpt of a piece to be classified is first sampled to a 2D pitch–time representation which is then subjected to various transformations, including convolu-tion w...
Chapter
Full-text available
We present a computational method for pattern discovery based on the application of the wavelet transform to symbolic representations of melodies or monophonic voices. We model the importance of a discovered pattern in terms of the compression ratio that can be achieved by using it to describe that part of the melody covered by its occurrences. The...
Method
Full-text available
We present the computational method submitted to the MIREX 2014 Discovery of Repeated Themes & Sections task, and the results on the monophonic version of the JKU Patterns Development Database.
Article
Full-text available
Regression analysis is a powerful and conceptually simple technique for historical data exploration of welding parameters in laser welding process for coil joining. This technique combined with a Quality Control Data System based on camera sensors and a dynamic pattern extraction technique can help to identify important features and relationships i...
Poster
Full-text available
Melody is one of the most important elements of analysis in musical units. It carries implicit information regarding harmony and rhythm. Music analysts achieve their task by auditory and visual perception based on experience and contextualization. Can the wavelet technique identify patterns and structures in melody? Western musical examples taken f...
Conference Paper
Full-text available
Tuning parameters is essential for the results of the welding process. In order to optimize the tuning process of welding parameters, we propose a system based on historical data of laser welding machines. On a given combination of materials, the system extracts patterns dynamically and classifies new cases with a relative accuracy, which depends o...

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