Francisco J Cantú-Ortiz
Biographic Data
| ID | 4450854 |
|---|---|
| NAME | Francisco J Cantú-Ortiz |
| GIVEN NAMES | Francisco J |
| FAMILY NAME | Cantú-Ortiz |
| SIGNATURE | CANTÚ-ORTIZ F J |
| AFFILIATIONS | Tecnológico de Monterrey |
| ORCID | 0000-0002-2015-0562 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 19 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1992 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Identifying Researchers’ Publication Strategies by Clustering Publication and Impact Data
Quantifying the publication preferences of leading research universities
Research universities have a strong devotion and advocacy for research in their core academic mission. This is why they are widely recognized for their excellence in research which make them take the most renowned positions in the different worldwide university leagues. In order to examine the uniqueness of this group of universities we analyze the scientific production of a sample of them in a 5 year period of time. On the one hand, we analyze t…
Comparing the efficiency of countries to assimilate and apply research investment
Fraudulent Democracy? An Analysis of Argentina'sInfamous DecadeUsing Supervised Machine Learning
In this paper, we introduce an innovative method to diagnose electoral fraud using vote counts. Specifically, we use synthetic data to develop and train a fraud detection prototype. We employ a naive Bayes classifier as our learning algorithm and rely on digital analysis to identify the features that are most informative about class distinctions. To evaluate the detection capability of the classifier, we use authentic data drawn from a novel data…
Expert system technology transfer strategies
Fraudulent Democracy? An Analysis of Argentina'sInfamous DecadeUsing Supervised Machine Learning
In this paper, we introduce an innovative method to diagnose electoral fraud using vote counts. Specifically, we use synthetic data to develop and train a fraud detection prototype. We employ a naive Bayes classifier as our learning algorithm and rely on digital analysis to identify the features that are most informative about class distinctions. To evaluate the detection capability of the classifier, we use authentic data drawn from a novel data…
Expert system technology transfer strategies
Fraudulent Democracy? An Analysis of Argentina'sInfamous DecadeUsing Supervised Machine Learning
In this paper, we introduce an innovative method to diagnose electoral fraud using vote counts. Specifically, we use synthetic data to develop and train a fraud detection prototype. We employ a naive Bayes classifier as our learning algorithm and rely on digital analysis to identify the features that are most informative about class distinctions. To evaluate the detection capability of the classifier, we use authentic data drawn from a novel data…
Identifying Researchers’ Publication Strategies by Clustering Publication and Impact Data
Quantifying the publication preferences of leading research universities
Research universities have a strong devotion and advocacy for research in their core academic mission. This is why they are widely recognized for their excellence in research which make them take the most renowned positions in the different worldwide university leagues. In order to examine the uniqueness of this group of universities we analyze the scientific production of a sample of them in a 5 year period of time. On the one hand, we analyze t…
Comparing the efficiency of countries to assimilate and apply research investment
Artificial Intelligence (4 works) · Computer Science (4 works) · Political science (4 works) · Business (3 works) · scientometrics and bibliometrics research (3 works) · Bibliometrics (2 works) · Cluster analysis (2 works) · Information retrieval (2 works) · Productivity (2 works) · Sample (material) (2 works)