Search Results for author:
Found 12 papers, 2 papers with code
Road Network Deterioration Monitoring Using Aerial Images and Computer Vision
Road maintenance is an essential process for guaranteeing the quality of transportation in any city.
An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States
We consider the Feynman-Kitaev formalism applied to a spin chain described by the transverse field Ising model.
Optimisation-free Classification and Density Estimation with Quantum Circuits
We demonstrate the implementation of a novel machine learning framework for probability density estimation and classification using quantum circuits.
Machine learning for assessing quality of service in the hospitality sector based on customer reviews
Customer reviews can be used to automatically extract the most relevant aspects of the quality of service for hospitality clientele.
Learning with Density Matrices and Random Features
It is a powerful formalism to represent both the quantum and classical uncertainty of quantum systems and to express different statistical operations such as measurement, system combination and expectations as linear algebra operations.
Towards robust and speculation-reduction real estate pricing models based on a data-driven strategy
In many countries, real estate appraisal is based on conventional methods that rely on appraisers' abilities to collect data, interpret it and model the price of a real estate property.
Learning from students' perception on professors through opinion mining
Students' perception of classes measured through their opinions on teaching surveys allows to identify deficiencies and problems, both in the environment and in the learning methodologies.
Supervised Learning with Quantum Measurements
Prediction of the label for a new sample is made by performing a projective measurement on the bipartite system with an operator, prepared from the new input sample, and applying a partial trace to obtain the state of the subsystem representing the output.
Event detection in Colombian security Twitter news using fine-grained latent topic analysis
Our method is able to discover event-specific sets of news, which is the baseline to perform an extensive analysis of how people engage in Twitter threads on the different types of news, with an emphasis on security, violence and crime-related tweets.
A model for predicting price polarity of real estate properties using information of real estate market websites
Results show that the accuracy of a classifier that involves text descriptions is slightly higher than a classifier that only uses features of the real estate properties, as text descriptions tends to contain detailed information about the property.
Using machine learning and information visualisation for discovering latent topics in Twitter news
We propose a method to discover latent topics and visualise large collections of tweets for easy identification and interpretation of topics, and exemplify its use with tweets from a Colombian mass media giant in the period 2014--2019.
Pronunciation recognition of English phonemes /\textipa{@}/, /æ/, /\textipa{A}:/ and /\textipa{2}/ using Formants and Mel Frequency Cepstral Coefficients
In particular, the phonemes /\textipa{@}/, /{\ae}/, /\textipa{A}:/ and /\textipa{2}/ were analysed.
