
Learning a Behavioral Repertoire from Demonstrations
Imitation Learning (IL) is a machine learning approach to learn a policy...
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Dissimilarity Mixture Autoencoder for Deep Clustering
In this paper, we introduce the Dissimilarity Mixture Autoencoder (DMAE)...
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Stochastic Global Optimization Algorithms: A Systematic Formal Approach
As we know, some global optimization problems cannot be solved using ana...
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Selfadaptation of Genetic Operators Through Genetic Programming Techniques
Here we propose an evolutionary algorithm that self modifies its operato...
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Pronunciation recognition of English phonemes /@/, /æ/, /A:/ and /2/ using Formants and Mel Frequency Cepstral Coefficients
The Vocal Joystick Vowel Corpus, by Washington University, was used to s...
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An alternative to continuous univariate distributions supported on a bounded interval: The BMT distribution
In this paper, we introduce the BMT distribution as an unimodal alternat...
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A family of OWA operators based on Faulhaber's formulas
In this paper we develop a new family of Ordered Weighted Averaging (OWA...
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Dynamic Structural Similarity on Graphs
One way of characterizing the topological and structural properties of v...
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HighQuality Disjoint and Overlapping Community Structure in LargeScale Complex Networks
In this paper, we propose an improved version of an agglomerative hierar...
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A big data based method for pass rates optimization in mathematics university lower division courses
In this paper an algorithm designed for large databases is introduced fo...
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On the Implementation and Assessment of several Divide & Conquer Matheuristic Strategies for the solution of the Knapsack Problem
We introduce and asses a Divide & Conquer heuristic method, aimed to sol...
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Estimation of Gaussian directed acyclic graphs using partial ordering information with an application to dairy cattle data
Estimating a directed acyclic graph (DAG) from observational data repres...
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Predicting city safety perception based on visual image content
Safety perception measurement has been a subject of interest in many cit...
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Characterization of citizens using word2vec and latent topic analysis in a large set of tweets
With the increasing use of the Internet and mobile devices, social netwo...
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How to Find New CharacteristicDependent Linear Rank Inequalities using Binary Matrices as a Guide
In Linear Algebra over finite fields, a characteristicdependent linear ...
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Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
Recognizing named entities in a document is a key task in many NLP appli...
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A guide through the OpenBox system: Room and Proctor Intelligent Decider RaPIDΩ
We present the documentation and mathematical modeling of the openbox s...
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A model for predicting price polarity of real estate properties using information of real estate market websites
This paper presents a model that uses the information that sellers publi...
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Event detection in Colombian security Twitter news using finegrained latent topic analysis
Cultural and social dynamics are important concepts that must be underst...
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A guide through the openbox system: Room and Proctor Intelligent Decider for large scale tests programming RaPIDOMEGA
We present the documentation and mathematical modeling of the openbox s...
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The Tilted Beta Binomial Linear Regression Model: a Bayesian Approach
This paper proposes new linear regression models to deal with overdisper...
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Deep Adaptive Wavelet Network
Even though convolutional neural networks have become the method of choi...
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Supervised Learning with Quantum Measurements
This letter reports a novel method for supervised machine learning based...
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The openbox system: Room and Proctor Intelligent Decider for large scale tests programming RaPIDOMEGA
We present the mathematical modeling for the problem of choosing rooms a...
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Hybrid Adaptive Evolutionary Algorithm for Multiobjective Optimization
The major difficulty in Multiobjective Optimization Evolutionary Algori...
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Fullydiscrete finite element approximation for a family of degenerate parabolic problems
The aim of this work is to show an abstract framework to analyze the num...
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On the Complexity of Solving Generic Overdetermined Bilinear Systems
In this paper, we study the complexity of solving generic overdetermine...
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Fast multiscale contrast independent preconditioners for linear elastic topology optimization problems
The goal of this work is to present a fast and viable approach for the n...
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The RaPIDOMEGA system: Room and Proctor Intelligent Decider for large scale tests programming
We present the mathematical modeling for the problem of choosing rooms a...
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Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification
Diabetic Retinopathy (DR) is one of the microvascular complications of D...
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Fully discrete finite element approximation for a family of degenerate parabolic mixed equations
The aim of this work is to show an abstract framework to analyze the num...
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A Latent Space Model for Multilayer Network Data
In this work, we propose a Bayesian statistical model to simultaneously ...
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ManyQudit representation for the Travelling Salesman Problem Optimisation
We present a map from the travelling salesman problem (TSP), a prototypi...
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Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression
Prostate cancer (PCa) is one of the most common and aggressive cancers w...
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Quantum Measurement Classification with Qudits
This paper presents a hybrid classicalquantum program for density estim...
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Machine learning for assessing quality of service in the hospitality sector based on customer reviews
The increasing use of online hospitality platforms provides firsthand in...
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A deep learning model for classification of diabetic retinopathy in eye fundus images based on retinal lesion detection
Diabetic retinopathy (DR) is the result of a complication of diabetes af...
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A Gentle Introduction to Bayesian Hierarchical Linear Regression Models
Considering the flexibility and applicability of Bayesian modeling, in t...
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Bayesian spatial voting model to characterize the legislative behavior of the Colombian Senate 20102014
This paper applies Bayesian methodologies to characterize the legislativ...
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How to Find New CharacteristicDependent Linear Rank Inequalities using Secret Sharing
Determining information ratios of access structures is an important prob...
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Application and Assessment of the DivideandConquer method on some Integer Optimization Problems
In this paper the DivideandConquer method is applied and assessed to t...
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Avoiding a pair of patterns in multisets and compositions
In this paper, we study the Wilftype equivalence relations among multis...
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Some Case Studies Using Bayesian Statistical Models
We provide four case studies that use Bayesian machinery to making induc...
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Universidad Nacional de Colombia
The Universidad Nacional de Colombia is a public, national, coeducational, research university, located primarily in Bogotá, Medellín, Manizales and Palmira, Colombia.