Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Eric Sadit Tellez"'
Publikováno v:
IEEE Computational Intelligence Magazine. 15:76-88
Sentiment analysis (SA) is a task related to understanding people's feelings in written text; the starting point would be to identify the polarity level (positive, neutral or negative) of a given text, moving on to identify emotions or whether a text
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03145c68da23222057b4e04f89cbae86
https://doi.org/10.1109/mci.2019.2954668
https://doi.org/10.1109/mci.2019.2954668
Publikováno v:
IEEE Access. 8:221669-221688
Improving classifiers’ performance is the goal of techniques like prototype selection, normalization, and feature mapping; these techniques aim to reduce the complexity and improve the accuracy of models. In this manuscript, we present a boosting a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d61a0b636162395fd711e1bfa1b888dc
https://doi.org/10.1109/access.2020.3042453
https://doi.org/10.1109/access.2020.3042453
Publikováno v:
Knowledge and Information Systems. 62:2349-2382
This manuscript presents the extreme pivots (EP) metric index, a data structure, to speed up exact proximity searching in the metric space model. For the EP, we designed an automatic rule to select the best pivots for a dataset working on limited mem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e6a4afb5bbf1a7835a8d9e411ff041f
https://doi.org/10.1007/s10115-019-01423-5
https://doi.org/10.1007/s10115-019-01423-5
Publikováno v:
IET Image Processing. 13:2162-2168
Intelligent surveillance systems in multi-camera environments pose a hard-open problem for computer vision. The way the people look changes inside and also among cameras, so people re-identification task can be largely improved collecting data about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99f41b8735cd8751082be95f1d13df9a
https://doi.org/10.1049/iet-ipr.2019.0083
https://doi.org/10.1049/iet-ipr.2019.0083
Autor:
Jesus Ortiz-Bejar, Alejandro Zamora-Mendez, Eric Sadit Tellez, Garibaldi Pineda-Garcia, Mario Graff, Jose Ortiz-Bejar
Publikováno v:
2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).
This work presents an analysis of four regression systems. Two of them are statistical: the widely used Auto-regressive Integrated Moving Average (ARIMA) and the state-of-the-art Facebook Prophet. From the deep learning school, a Long Short-Term Memo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61232cc430c82fb06197922aeaa7bfe9
https://doi.org/10.1109/ropec50909.2020.9258744
https://doi.org/10.1109/ropec50909.2020.9258744
Publikováno v:
SemEval@COLING
This paper describes our participation in OffensEval challenges for English, Arabic, Danish, Turkish, and Greek languages. We used several approaches, such as μTC, TextCategorization, and EvoMSA. Best results were achieved with EvoMSA, which is a mu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a71c0a3bcc591f4534ec6ce7df934dc3
https://doi.org/10.18653/v1/2020.semeval-1.262
https://doi.org/10.18653/v1/2020.semeval-1.262
Autor:
Jose Ortiz-Bejar, Eric Sadit Tellez, Rajesh Kumar Tripathy, Daniel Guillen, Mario R. Arrieta Paternina, Alejandro Zamora-Mendez, Ruben Tapia-Olvera
Publikováno v:
IET Generation, Transmission & Distribution. 12:4070-4078
This study deals with the faults' detection and classification in AC transmission lines based on power spectral density (PSD), introducing PSD in time and frequency for analysing transient information under faulted conditions. The discrete wavelet tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2f90f0628d96d23898257067baa3bfb
https://doi.org/10.1049/iet-gtd.2018.5062
https://doi.org/10.1049/iet-gtd.2018.5062
Publikováno v:
Knowledge-Based Systems. 149:110-123
A great variety of text tasks such as topic or spam identification, user profiling, and sentiment analysis can be posed as a supervised learning problem and tackled using a text classifier. A text classifier consists of several subprocesses, some of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7038258ba247a1ffc8fbc1a0436a358
https://doi.org/10.1016/j.knosys.2018.03.003
https://doi.org/10.1016/j.knosys.2018.03.003
Autor:
Daniela Moctezuma, Eric Sadit Tellez, Oscar S. Siordia, Elio A. Villaseor, Mario Graff, Sabino Miranda-Jimnez
Publikováno v:
Expert Systems with Applications. 81:457-471
A review of popular techniques to model short texts written in an informal style.An analysis of configurations that produce the top-k sentiment classifiers.The analysis is oriented to the performance in both accuracy and computing time.A simple metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::649292cb0818029c2726aeb972ac96b8
https://doi.org/10.1016/j.eswa.2017.03.071
https://doi.org/10.1016/j.eswa.2017.03.071
Autor:
Jose Ortiz-Bejar, Daniela Moctezuma, Sabino Miranda-Jiménez, Eric Sadit Tellez, Alicia Morales-Reyes, Miguel Angel Medina-Pérez, Luis Pellegrin, Hugo Jair Esclalante, Mario Graff, Carlos A. Reyes-García, Octavio Loyola-González, Eduardo F. Morales, Andres Eduardo Gutierrez-Rodríguez, Mauricio Garcia-Limon
Publikováno v:
Computación y Sistemas. 23
This paper describes the design of the 2017 RedICA: Text-Image Matching (RICATIM) challenge, including the dataset generation, a complete analysis of results, and the descriptions of the top-ranked developed methods. The academic challenge explores t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd1142f536da3cc8a93994900d725fcd
https://doi.org/10.13053/cys-23-4-3207
https://doi.org/10.13053/cys-23-4-3207