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|
# Citas necesarias para la investigacion
# ======================================
@article{Kitchenham2007,
author = {B. Kitchenham and S Charters},
title = {Guidelines for performing Systematic Literature Reviews in Software Engineering},
year = {2007}
}
@article{Petticrew2006,
author = {Petticrew, Mark and Roberts, Helen},
title = {Systematic Reviews in the Social Sciences},
year = {2006},
publisher = {Blackwell Publishing},
ISBN = {978-1-4051-2110-1}
}
@article{Doll2013,
author = {Jonathan Jacob Doll and Zohreh Eslami and Lynne Walters},
title ={Understanding Why Students Drop Out of High School, According to Their Own Reports: Are They Pushed or Pulled, or Do They Fall Out? A Comparative Analysis of Seven Nationally Representative Studies},
journal = {SAGE Open},
volume = {3},
number = {4},
pages = {2158244013503834},
year = {2013},
doi = {10.1177/2158244013503834},
URL = {https://doi.org/10.1177/2158244013503834}
}
% @misc{PUCP2019SaludMental,
% author = {Fiorella Palmieri},
% year = {2019},
% title = {Mentes saludables},
% url = {https://puntoedu.pucp.edu.pe/noticia/mentes-saludables/}
% }
@article{PUCP2019SaludMental,
author = {Fiorella Palmieri},
date = {2019-06-14},
title = {Mentes saludables},
journal = {Punto EDU},
url = {https://puntoedu.pucp.edu.pe/noticia/mentes-saludables/},
urldate = {2023-03-23}
}
@online{DescubrePUCP,
author = {Descubre PUCP},
title = {Oficina de Orientación, Información y Apoyo al Estudiante (OOIA)},
% year = 1999,
url = {https://descubre.pucp.edu.pe/poi/dir036},
urldate = {2023-03-26}
}
% https://facultad.pucp.edu.pe/generales-ciencias/nosotros/oficinas/bienestar-ciencias/
@book{ACM2020-Curricula,
author = {{CC2020 Task Force}},
title = {Computing Curricula 2020: Paradigms for Global Computing Education},
year = {2020},
isbn = {9781450390590},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
pages={19, 20}
}
# Estudios primarios (new)
# Scopus
# EXPORT DATE: 10 April 2023
@ARTICLE{Shilbayeh2021562,
author={Shilbayeh, S. and Abonamah, A.},
title={Predicting student enrolments and attrition patterns in higher educational institutions using machine learning},
journal={International Arab Journal of Information Technology},
year={2021},
volume={18},
number={4},
pages={562-567},
doi={10.34028/18/4/8},
note={cited By 4},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110631056&doi=10.34028%2f18%2f4%2f8&partnerID=40&md5=df6ca88561c04dc1b9a2b670dbfd7939},
publisher={Zarka Private University},
document_type={Article},
source={Scopus},
}
@ARTICLE{Perez202157,
author={Perez, J.G. and Perez, E.S.},
title={Predicting Student Program Completion Using Naïve Bayes Classification Algorithm},
journal={International Journal of Modern Education and Computer Science},
year={2021},
volume={13},
number={3},
pages={57-67},
doi={10.5815/IJMECS.2021.03.05},
note={cited By 5},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126148117&doi=10.5815%2fIJMECS.2021.03.05&partnerID=40&md5=4b2a1120d172ab019073da333d6b3b38},
publisher={Modern Education and Computer Science Press},
document_type={Article},
source={Scopus},
}
@ARTICLE{Alwarthan2022107649,
author={Alwarthan, S. and Aslam, N. and Khan, I.U.},
title={An Explainable Model for Identifying At-Risk Student at Higher Education},
journal={IEEE Access},
year={2022},
volume={10},
pages={107649-107668},
doi={10.1109/ACCESS.2022.3211070},
note={cited By 1},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139451582&doi=10.1109%2fACCESS.2022.3211070&partnerID=40&md5=e57c9f6d41059efe172d9a82d5ab4747},
publisher={Institute of Electrical and Electronics Engineers Inc.},
document_type={Article},
source={Scopus},
}
@ARTICLE{Khan2021,
author={Khan, I. and Ahmad, A.R. and Jabeur, N. and Mahdi, M.N.},
title={An artificial intelligence approach to monitor student performance and devise preventive measures},
journal={Smart Learning Environments},
year={2021},
volume={8},
number={1},
doi={10.1186/s40561-021-00161-y},
art_number={17},
note={cited By 6},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114501475&doi=10.1186%2fs40561-021-00161-y&partnerID=40&md5=c57ce71f62d6094a3bfd9f3196600e0b},
publisher={Springer},
document_type={Article},
source={Scopus},
}
@ARTICLE{Sahlaoui2021152688,
author={Sahlaoui, H. and Alaoui, E.A.A. and Nayyar, A. and Agoujil, S. and Jaber, M.M.},
title={Predicting and Interpreting Student Performance Using Ensemble Models and Shapley Additive Explanations},
journal={IEEE Access},
year={2021},
volume={9},
pages={152688-152703},
doi={10.1109/ACCESS.2021.3124270},
note={cited By 4},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118542795&doi=10.1109%2fACCESS.2021.3124270&partnerID=40&md5=a74d7ccee09d0dd0051f1bb714a4aef9},
publisher={Institute of Electrical and Electronics Engineers Inc.},
document_type={Article},
source={Scopus},
}
@ARTICLE{Segura2022,
author={Segura, M. and Mello, J. and Hernández, A.},
title={Machine Learning Prediction of University Student Dropout: Does Preference Play a Key Role?},
journal={Mathematics},
year={2022},
volume={10},
number={18},
doi={10.3390/math10183359},
art_number={3359},
note={cited By 2},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138658944&doi=10.3390%2fmath10183359&partnerID=40&md5=714776e99fdd4866906ed0bd946e2859},
publisher={MDPI},
document_type={Article},
source={Scopus},
}
@ARTICLE{Latif20221051,
author={Latif, G. and Alghazo, R. and Pilotti, M.A.E. and Ben Brahim, G.},
title={Identifying "At-Risk" Students: An AI-based Prediction Approach},
journal={International Journal of Computing and Digital Systems},
year={2022},
volume={11},
number={1},
pages={1051-1059},
doi={10.12785/ijcds/110184},
note={cited By 3},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129619369&doi=10.12785%2fijcds%2f110184&partnerID=40&md5=d9c778ef345bc44eeb1d2ce088ea07ef},
publisher={University of Bahrain},
document_type={Article},
source={Scopus},
}
@ARTICLE{Balaji2021,
author={Balaji, P. and Alelyani, S. and Qahmash, A. and Mohana, M.},
title={Contributions of machine learning models towards student academic performance prediction: A systematic review},
journal={Applied Sciences (Switzerland)},
year={2021},
volume={11},
number={21},
doi={10.3390/app112110007},
art_number={10007},
note={cited By 8},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118180499&doi=10.3390%2fapp112110007&partnerID=40&md5=fe4637a240b2d35b24e90439cc932a3c},
publisher={MDPI},
document_type={Article},
source={Scopus},
}
@ARTICLE{Suhaimi20191,
author={Suhaimi, N.M. and Abdul-Rahman, S. and Mutalib, S. and Hamid, N.H.A. and Malik, A.M.A.},
title={Review on Predicting Students’ Graduation Time Using Machine Learning Algorithms},
journal={International Journal of Modern Education and Computer Science},
year={2019},
volume={11},
number={7},
pages={1-13},
doi={10.5815/ijmecs.2019.07.01},
note={cited By 18},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075745553&doi=10.5815%2fijmecs.2019.07.01&partnerID=40&md5=379a14480656e38f4b677cbd0557d3a2},
publisher={Modern Education and Computer Science Press},
document_type={Article},
source={Scopus},
}
@ARTICLE{Yağcı2022,
author={Yağcı, M.},
title={Educational data mining: prediction of students' academic performance using machine learning algorithms},
journal={Smart Learning Environments},
year={2022},
volume={9},
number={1},
doi={10.1186/s40561-022-00192-z},
art_number={11},
note={cited By 23},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126250565&doi=10.1186%2fs40561-022-00192-z&partnerID=40&md5=d7222b249dc6c3ad747777bc12596884},
publisher={Springer},
document_type={Article},
source={Scopus},
}
@ARTICLE{Fernandez-Garcia2021133076,
author={Fernandez-Garcia, A.J. and Preciado, J.C. and Melchor, F. and Rodriguez-Echeverria, R. and Conejero, J.M. and Sanchez-Figueroa, F.},
title={A real-life machine learning experience for predicting university dropout at different stages using academic data},
journal={IEEE Access},
year={2021},
volume={9},
pages={133076-133090},
doi={10.1109/ACCESS.2021.3115851},
note={cited By 7},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117054399&doi=10.1109%2fACCESS.2021.3115851&partnerID=40&md5=26a3796f13998d88470e95a739ba8ee6},
publisher={Institute of Electrical and Electronics Engineers Inc.},
document_type={Article},
source={Scopus},
}
@ARTICLE{Guzmán2022,
author={Guzmán, A. and Barragán, S. and Cala-Vitery, F.},
title={Comparative Analysis of Dropout and Student Permanence in Rural Higher Education},
journal={Sustainability (Switzerland)},
year={2022},
volume={14},
number={14},
doi={10.3390/su14148871},
art_number={8871},
note={cited By 1},
url={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136408686&doi=10.3390%2fsu14148871&partnerID=40&md5=cb934fb25c47d243ba6aaa039bb73d45},
publisher={MDPI},
document_type={Article},
source={Scopus},
}
# IEEE
@INPROCEEDINGS{8820813,
author={de O. Santos, Kelly J. and Menezes, Angelo G. and de Carvalho, Andre B. and Montesco, Carlos A. E.},
booktitle={2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)},
title={Supervised Learning in the Context of Educational Data Mining to Avoid University Students Dropout},
year={2019},
volume={2161-377X},
number={},
pages={207-208},
doi={10.1109/ICALT.2019.00068}
}
@INPROCEEDINGS{8484847,
author={Perez, Boris and Castellanos, Camilo and Correal, Dario},
booktitle={2018 IEEE 1st Colombian Conference on Applications in Computational Intelligence (ColCACI)},
title={Applying Data Mining Techniques to Predict Student Dropout: A Case Study},
year={2018},
volume={},
number={},
pages={1-6},
doi={10.1109/ColCACI.2018.8484847}
}
@INPROCEEDINGS{9450735,
author={Chitti, Manjari and Chitti, Padmini and Jayabalan, Manoj},
booktitle={2020 13th International Conference on Developments in eSystems Engineering (DeSE)},
title={Need for Interpretable Student Performance Prediction},
year={2020},
volume={},
number={},
pages={269-272},
doi={10.1109/DeSE51703.2020.9450735}
}
# Estudios primarios (old)
# ==================
@article{Bedregal2020,
author = {Norka Bedregal-Alpaca and Víctor Cornejo-Aparicio and Joshua Zárate-Valderrama and Pedro Yanque-Churo},
title = {Classification Models for Determining Types of Academic Risk and Predicting Dropout in University Students},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110133},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110133},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {1}
}
@Article{Aldowah2020,
author={Aldowah, Hanan
and Al-Samarraie, Hosam
and Alzahrani, Ahmed Ibrahim
and Alalwan, Nasser},
title={Factors affecting student dropout in MOOCs: a cause and effect decision‐making model},
journal={Journal of Computing in Higher Education},
year={2020},
month={08},
day={01},
volume={32},
number={2},
pages={429-454},
issn={1867-1233},
doi={10.1007/s12528-019-09241-y},
url={https://doi.org/10.1007/s12528-019-09241-y}
}
@article{Alvarez2020,
author = {Niurys Lázaro Alvarez and Zoraida Callejas and David Griol},
title = {Predicting Computer Engineering students' dropout in Cuban Higher Education with pre-enrollment and early performance data},
journal = {Journal of Technology and Science Education},
volume = {10},
number = {2},
year = {2020},
keywords = {Dropout, retention, promotion, higher education, data analysis, computer engineering, automatic classification},
issn = {2013-6374},
pages = {241--258},
doi = {10.3926/jotse.922},
url = {https://www.jotse.org/index.php/jotse/article/view/922}
}
@Article{Flores2022,
AUTHOR = {Flores, Vaneza and Heras, Stella and Julian, Vicente},
TITLE = {Comparison of Predictive Models with Balanced Classes Using the SMOTE Method for the Forecast of Student Dropout in Higher Education},
JOURNAL = {Electronics},
VOLUME = {11},
YEAR = {2022},
NUMBER = {3},
ARTICLE-NUMBER = {457},
URL = {https://www.mdpi.com/2079-9292/11/3/457},
ISSN = {2079-9292},
DOI = {10.3390/electronics11030457}
}
@Article{Moreira2022,
AUTHOR = {Moreira da Silva, Diogo E. and Solteiro Pires, Eduardo J. and Reis, Arsénio and de Moura Oliveira, Paulo B. and Barroso, João},
TITLE = {Forecasting Students Dropout: A UTAD University Study},
JOURNAL = {Future Internet},
VOLUME = {14},
YEAR = {2022},
NUMBER = {3},
ARTICLE-NUMBER = {76},
URL = {https://www.mdpi.com/1999-5903/14/3/76},
ISSN = {1999-5903},
DOI = {10.3390/fi14030076}
}
# bad bibtex and encoding
@article{Zarate2021,
author={Zárate-Valderrama, Joshua AND Bedregal-Alpaca, Norka AND Cornejo-Aparicio, Víctor},
title = {Modelos de clasificación para reconocer patrones de deserción en estudiantes universitarios},
ISSN = {0718-3305},
journal = {Ingeniare. Revista chilena de ingeniería},
language = {es},
volume = {29},
year = {2021},
month = {03},
pages = {168 - 177},
publisher = {scielocl},
crossref = {10.4067/S0718-33052021000100168},
}
# Alban2019
@article{Alban2019,
author = {Mayra Alban and David Mauricio},
title = {Neural Networks to Predict Dropout at the Universities},
journal = {International Journal of Machine Learning and Computing},
volume = {9},
number = {2},
pages = {149-153},
year = {2019},
doi = {10.18178/ijmlc.2019.9.2.779},
}
# Fernandez2019
@article{Fernandez2019,
author={Fernández-Martín, Tatiana and Solís-Salazar, Martín and Hernández-Jiménez, María and Moreira-Mora, Tania},
title={A Multinomial and Predictive Analysis of Factors Associated with University Dropout},
volume={23},
url={https://www.revistas.una.ac.cr/index.php/EDUCARE/article/view/9038},
DOI={10.15359/ree.23-1.5},
number={1},
journal={Revista Electrónica Educare},
year={2019},
month={01},
pages={1-25}
}
# New (incluir en cadena de busqueda y formulario de extraccion)
# ==============================================================
@article{Kemper2020,
title = {Predicting student dropout: {A} machine learning approach},
volume = {10},
issn = {2156-8235, 2156-8243},
shorttitle = {Predicting student dropout},
url = {https://www.tandfonline.com/doi/full/10.1080/21568235.2020.1718520},
doi = {10.1080/21568235.2020.1718520},
language = {en},
number = {1},
urldate = {2023-04-18},
journal = {European Journal of Higher Education},
author = {Kemper, Lorenz and Vorhoff, Gerrit and Wigger, Berthold U.},
month = jan,
year = {2020},
pages = {28--47}
}
# CONCEPTOS
@book{russell_artificial_2010,
address = {Upper Saddle River},
edition = {3rd ed},
series = {Prentice {Hall} series in artificial intelligence},
title = {Artificial intelligence: a modern approach},
isbn = {978-0-13-604259-4},
shorttitle = {Artificial intelligence},
publisher = {Prentice Hall},
author = {Russell, Stuart J. and Norvig, Peter and Davis, Ernest},
year = {2010},
keywords = {Artificial intelligence},
}
@book{mohri_foundations_2012,
address = {Cambridge, MA},
series = {Adaptive computation and machine learning series},
title = {Foundations of machine learning},
isbn = {978-0-262-01825-8},
publisher = {MIT Press},
author = {Mohri, Mehryar and Rostamizadeh, Afshin and Talwalkar, Ameet},
year = {2012},
keywords = {Computer algorithms, Machine learning},
}
@book{mitchell_machine_1997,
address = {New York},
series = {{McGraw}-{Hill} series in computer science},
title = {Machine {Learning}},
isbn = {978-0-07-042807-2},
publisher = {McGraw-Hill},
author = {Mitchell, Tom M.},
year = {1997},
keywords = {Computer algorithms, Machine learning},
}
@book{bishop_pattern_2006,
address = {New York},
series = {Information science and statistics},
title = {Pattern recognition and machine learning},
isbn = {978-0-387-31073-2},
publisher = {Springer},
author = {Bishop, Christopher M.},
year = {2006},
keywords = {Machine learning, Pattern perception},
}
# Review (E.g., systematic reviews, not exactly university dropout analysis)
# ===================================================================
# Agrusti2019
# Agrusti, F., Bonavolontà, G., & Mezzini, M. (2019). University Dropout Prediction through Educational Data Mining Techniques: A Systematic Review. Journal of E-Learning and Knowledge Society, 15(3), 161-182. https://doi.org/10.20368/1971-8829/1135017
@article{Agrusti2019,
author = {Agrusti, F and Bonavolontà, G and Mezzini, M},
title = {University Dropout Prediction through Educational Data Mining Techniques: A Systematic Review},
journal = {Journal of E-Learning and Knowledge Society},
doi = {10.20368/1971-8829/1135017},
url = {https://doi.org/10.20368/1971-8829/1135017},
year = {2019},
volume = {15},
number = {3},
pages = {161-182}
}
# Yang2020
# Y. Yang, P. Fu, X. Yang, H. Hong and D. Zhou, "Mooc learner’s final grade prediction based on an improved random forests method," Computers, Materials & Continua, vol. 65, no.3, pp. 2413–2423, 2020.
@Article{Yang2020,
AUTHOR = {Yang, Yuqing and Fu, Peng and Yang, Xiaojiang and Hong, Hong and Zhou, Dequn},
TITLE = {MOOC Learner’s Final Grade Prediction Based on an Improved Random Forests Method},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {3},
PAGES = {2413--2423},
URL = {http://www.techscience.com/cmc/v65n3/40178},
ISSN = {1546-2226},
DOI = {10.32604/cmc.2020.011881}
}
# Extra
# =====
@Inbook{Fellbaum2010,
author="Fellbaum, Christiane",
editor="Poli, Roberto
and Healy, Michael
and Kameas, Achilles",
title="WordNet",
bookTitle="Theory and Applications of Ontology: Computer Applications",
year="2010",
publisher="Springer Netherlands",
address="Dordrecht",
pages="231--243",
isbn="978-90-481-8847-5",
doi="10.1007/978-90-481-8847-5_10",
url="https://doi.org/10.1007/978-90-481-8847-5_10"
}
@misc{wordnet,
author = {Fellbaum, Christiane},
title = {WordNet and wordnets},
howpublished = "\url{https://wordnet.princeton.edu/}",
year = {2005},
note = "[Online; recuperado el 20-09-2022]"
}
# Unsorted
# ========
@article{Spady1970,
author = {Spady, William G.},
title = {Dropouts from higher education: An interdisciplinary review and synthesis},
journal = {Interchange},
volume = {1},
number = {1},
pages = {64-85},
year = {1970},
publisher = {},
doi = {10.1007/BF02214313},
URL = {https://doi.org/10.1007/BF02214313}
}
@inproceedings{Delbonifro2020,
title={Student dropout prediction},
author={Del Bonifro, Francesca and Gabbrielli, Maurizio and Lisanti, Giuseppe and Zingaro, Stefano Pio},
booktitle={International Conference on Artificial Intelligence in Education},
pages={129--140},
year={2020},
organization={Springer}
}
@book{hastie2009elements,
title={The elements of statistical learning: data mining, inference, and prediction},
author={Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome H and Friedman, Jerome H},
volume={2},
year={2009},
publisher={Springer}
}
@book{mitchell1997machine,
title={Machine learning},
author={Mitchell, Tom M and Mitchell, Tom M},
volume={1},
number={9},
year={1997},
publisher={McGraw-hill New York}
}
@inproceedings{de_o_santos_supervised_2019,
address = {Maceió, Brazil},
title = {Supervised {Learning} in the {Context} of {Educational} {Data} {Mining} to {Avoid} {University} {Students} {Dropout}},
isbn = {978-1-72813-485-7},
url = {https://ieeexplore.ieee.org/document/8820813/},
doi = {10.1109/ICALT.2019.00068},
urldate = {2023-04-16},
booktitle = {2019 {IEEE} 19th {International} {Conference} on {Advanced} {Learning} {Technologies} ({ICALT})},
publisher = {IEEE},
author = {de O. Santos, Kelly J. and Menezes, Angelo G. and de Carvalho, Andre B. and Montesco, Carlos A. E.},
month = jul,
year = {2019},
pages = {207--208},
file = {de O. Santos et al. - 2019 - Supervised Learning in the Context of Educational .pdf:/home/mitsuo/.local/share/Zotero/storage/26P8CNIE/de O. Santos et al. - 2019 - Supervised Learning in the Context of Educational .pdf:application/pdf},
}
@inproceedings{perez_applying_2018,
address = {Medellin},
title = {Applying {Data} {Mining} {Techniques} to {Predict} {Student} {Dropout}: {A} {Case} {Study}},
isbn = {978-1-5386-6740-8},
shorttitle = {Applying {Data} {Mining} {Techniques} to {Predict} {Student} {Dropout}},
url = {https://ieeexplore.ieee.org/document/8484847/},
doi = {10.1109/ColCACI.2018.8484847},
urldate = {2023-04-16},
booktitle = {2018 {IEEE} 1st {Colombian} {Conference} on {Applications} in {Computational} {Intelligence} ({ColCACI})},
publisher = {IEEE},
author = {Perez, Boris and Castellanos, Camilo and Correal, Dario},
month = may,
year = {2018},
pages = {1--6},
file = {Perez et al. - 2018 - Applying Data Mining Techniques to Predict Student.pdf:/home/mitsuo/.local/share/Zotero/storage/HSD4DDIX/Perez et al. - 2018 - Applying Data Mining Techniques to Predict Student.pdf:application/pdf},
}
@inproceedings{chitti_need_2020,
address = {Liverpool, United Kingdom},
title = {Need for {Interpretable} {Student} {Performance} {Prediction}},
isbn = {978-1-66542-238-3},
url = {https://ieeexplore.ieee.org/document/9450735/},
doi = {10.1109/DeSE51703.2020.9450735},
urldate = {2023-04-16},
booktitle = {2020 13th {International} {Conference} on {Developments} in {eSystems} {Engineering} ({DeSE})},
publisher = {IEEE},
author = {Chitti, Manjari and Chitti, Padmini and Jayabalan, Manoj},
month = dec,
year = {2020},
pages = {269--272},
file = {Chitti et al. - 2020 - Need for Interpretable Student Performance Predict.pdf:/home/mitsuo/.local/share/Zotero/storage/JJGSFRMJ/Chitti et al. - 2020 - Need for Interpretable Student Performance Predict.pdf:application/pdf},
}
# 10-generalidades
# Metodos, Procedimientos, Herramientas
@online{github,
author = {{GitHub}},
title = {{GitHub's Frequently Asked Questions}},
url = {https://resources.github.com/faq/},
urldate = {2023-06-07},
}
@online{bases-de-datos-bibliograficas,
title = {SCOPUS},
url = {https://www.elsevier.com/es-es/solutions/scopus},
urldate = {2023-06-05}
}
@online{python,
title = {Python},
url = {https://www.python.org},
urldate = {2023-06-05}
}
@online{matplotlib,
title = {Matplotlib},
url = {https://matplotlib.org},
urldate = {2023-06-05}
}
@online{pandas,
title = {Pandas},
url = {https://pandas.pydata.org},
urldate = {2023-06-05}
}
@online{poetry-python,
title = {Poetry-python},
url = {https://python-poetry.org},
urldate = {2023-06-05}
}
@online{scikit-learn,
title = {Scikit-learn},
url = {https://scikit-learn.org},
urldate = {2023-06-05}
}
@online{jupyter-notebooks,
title = {Jupyter Notebooks},
url = {https://jupyter.org},
urldate = {2023-06-05}
}
@online{google-sheets,
title = {Google Sheets},
url = {https://www.google.com/sheets/about/},
urldate = {2023-06-05}
}
@online{draw-io,
title = {Draw.io},
url = {https://www.draw.io},
urldate = {2023-06-05}
}
@online{figma,
title = {Figma},
url = {https://www.figma.com},
urldate = {2023-06-05}
}
@online{git,
title = {Git},
url = {https://git-scm.com},
urldate = {2023-06-05}
}
@online{github,
title = {GitHub},
url = {https://github.com},
urldate = {2023-06-05}
}
@online{aws,
title = {AWS},
url = {https://aws.amazon.com},
urldate = {2023-06-05}
}
@online{visual-studio-code,
title = {Visual Studio Code},
url = {https://code.visualstudio.com},
urldate = {2023-06-05}
}
@online{postgresql,
title = {PostgreSQL},
url = {https://www.postgresql.org},
urldate = {2023-06-05}
}
@online{nginx,
title = {Nginx},
url = {https://nginx.org},
urldate = {2023-06-05}
}
@online{markdown,
title = {Markdown},
url = {https://daringfireball.net/projects/markdown/},
urldate = {2023-06-05}
}
@online{mermaid-diagrams,
title = {Mermaid diagrams},
url = {https://mermaid.js.org/},
urldate = {2023-06-05}
}
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