Fernando A. Crespo

Orcid: 0000-0001-9918-4492

According to our database1, Fernando A. Crespo authored at least 15 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Evolving demographics: a dynamic clustering approach to analyze residential segregation in Berlin.
EPJ Data Sci., December, 2024

2023
Impact of R&D on the Innovation of Products and Processes in Latin Countries.
Axioms, February, 2023

A Hybrid MOO/MCDM Optimization Approach to Improve Decision-Making in Multiobjective Optimization.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

2021
On spatial variation in the detectability and density of social media user protest supporters.
Telematics Informatics, 2021

Addressing the Permutational Flow Shop Scheduling Problem Through Constructive Heuristics: A Statistical Comparison.
Proceedings of the Computer Information Systems and Industrial Management, 2021

2019
Correction to: Detecting social media users based on pedestrian networks and neighborhood attributes: an observational study.
Appl. Netw. Sci., 2019

Detecting social media users based on pedestrian networks and neighborhood attributes: an observational study.
Appl. Netw. Sci., 2019

2018
Cooperation in Clusters: A Study Case in the Furniture Industry in Colombia.
Proceedings of the Computer Information Systems and Industrial Management, 2018

2017
Exploring the prominence of Romeo and Juliet's characters using weighted centrality measures.
Digit. Scholarsh. Humanit., 2017

2015
Shakespeare, Social Media and Social Networks [Viewpoint].
IEEE Technol. Soc. Mag., 2015

2013
Predicting sentencing outcomes with centrality measures.
Secur. Informatics, 2013

Soft clustering - Fuzzy and rough approaches and their extensions and derivatives.
Int. J. Approx. Reason., 2013

An Illustrative Comparison of Rough k-Means to Classical Clustering Approaches.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

2010
Uncertainty modeling in dynamic clustering - A soft computing perspective.
Proceedings of the FUZZ-IEEE 2010, 2010

2005
A methodology for dynamic data mining based on fuzzy clustering.
Fuzzy Sets Syst., 2005


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