Serafín Moral is affiliated with the University of Granada in Spain and conducts research primarily in the field of Computer Science. Their work spans multiple subfields, including Artificial Intelligence, Computational Theory and Mathematics, Signal Processing, Statistics and Probability, and Computer Networks and Communications.
The main topics addressed in their research include Bayesian Modeling and Causal Inference, Rough Sets and Fuzzy Logic, Data Management and Algorithms, Data Mining Algorithms and Applications, Constraint Satisfaction and Optimization, Multi-Criteria Decision Making, and Advanced Statistical Methods and Models.
Their recent publications reflect contributions to these topics in various respected venues. Notable papers include:
Serafín Moral collaborates frequently with several coauthors, including Andrés Cano, Manuel Gómez-Olmedo, Ofelia Paula Retamero, Carlos J. Mantas, and Javier G. Castellano.
The scholar's publications are distributed across a range of academic journals, with multiple contributions to Mathematics, Entropy, International Journal of Intelligent Systems, Information Sciences, and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.
Michael Clarke;Rudolf Kruse;Serafín Moral
Luis M. De Campos;Juan F. Huete;Serafin Moral
Ines Couso;Serafin Moral;Peter Walley
Inés Couso;Serafín Moral;Peter Walley
Serafín Moral;Rafael Rumí;Antonio Salmerón
Isabelle Bloch;Anthony A. Hunter;Alain A. Appriou;Andr A. Ayoun
Didier Dubois;Serafı́n Moral;Henri Prade
M. Delgado;S. Moral
Joaquín Abellán;Serafín Moral
D. Dubois;S. Moral;H. Prade
Antonio Salmerón;Andrés Cano;Serafín Moral
P. Larrañaga;S. Moral
Luis M. de Campos;María Teresa Lamata;Serafín Moral
José E. Cano;Miguel Delgado;Serafín Moral
A. Cano;A. R. Masegosa;S. Moral
Andrés Cano;Serafín Moral
Luis M. De Campos;Serafin Moral
Andrés Cano;Serafín Moral;Antonio Salmerón
Joaquin Abellan;Serafin Moral
Gregory F. Cooper;Serafín Moral
Jürg Kohlas;Serafín Moral
If you think any of the details on this page are incorrect, let us know.
Studying mathematics in the USA opens doors to various advanced online degrees that complement analytical skills. For those interested in blending math with business, exploring one year MBA programs can provide a swift, intensive education to boost career growth without long-term commitments.
Many students prefer flexibility, making online MBA programs that accept transfer credits an attractive option. These programs accommodate prior coursework, helping students accelerate their journey toward leadership roles in finance, technology, or operations.
For those focused on data-driven careers, a data analytics master's degree offers in-depth understanding of interpreting complex datasets—a skill highly valuable in tech, healthcare, marketing, and beyond.
Additionally, students seeking accessible pathways can consider the easiest MBA programs to get into, which provide practical business education with lower entry barriers. These options ensure that advancing your education and career remains achievable and customizable to your needs.
Xi'an Jiaotong University
Bishop's University
University of Ferrara
Goddard Space Flight Center
Karolinska Institute
Mayo Clinic
Polytechnic University of Milan
Yeungnam University
Carnegie Mellon University
Tsinghua University
Tehran University of Medical Sciences
Wake Forest University
University of Oslo
Uppsala University
University College Cork
University of Nottingham
