Babel Group
UPM UPM

Smunoz

Susana Muñoz

Associate Professor

Publications

2024

  1. Evaluation of Mixed Reality Technologies in Telemedicine-Assisted Childbirth Simulations
    Vasquez-Cevallos, L., Parpacen-Briones, L., Del-Pino-Bazan, F., Moran-Chaguay, H., Diaz-Mora, P., Zevallos, J. C., Estrada, R., Soto-Rodriguez, P. E. D., Muñoz-Hernández, S., & Ángel Herranz-Nieva. (2024). Evaluation of Mixed Reality Technologies in Telemedicine-Assisted Childbirth Simulations. In E. M. Shakshuki (Ed.), The 15th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2024) / The 14th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2024), Leuven, Belgium, October 28-30, 2024 (Vol. 251, pp. 438–445). Elsevier.

2021

  1. Personalizing Fuzzy Search Criteria for Improving User-Based Flexible Search
    Deedar, M. H., & Muñoz-Hernández, S. (2021). Personalizing Fuzzy Search Criteria for Improving User-Based Flexible Search. In T. Z. Ahram, Taı̈ar Redha, & F. Groff (Eds.), Human Interaction, Emerging Technologies and Future Applications IV - Proceedings of the 4th International Conference on Human Interaction and Emerging Technologies: Future Applications (IHIET - AI 2021), April 28-30, 2021, Strasbourg, France (Vol. 1378, pp. 186–199). Springer.

2019

  1. Allowing Users to Create Similarity Relations for Their Flexible Searches over Databases
    Deedar, M. H., & Muñoz-Hernández, S. (2019). Allowing Users to Create Similarity Relations for Their Flexible Searches over Databases. In L. Rutkowski, R. Scherer, M. Korytkowski, W. Pedrycz, R. Tadeusiewicz, & J. M. Zurada (Eds.), Artificial Intelligence and Soft Computing - 18th International Conference, ICAISC 2019, Zakopane, Poland, June 16-20, 2019, Proceedings, Part II (Vol. 11509, pp. 526–541). Springer.
  2. User-Friendly Interface for Introducing Fuzzy Criteria into Expressive Searches
    Deedar, M. H., & Muñoz-Hernández, S. (2019). User-Friendly Interface for Introducing Fuzzy Criteria into Expressive Searches. In Y. Bi, R. Bhatia, & S. Kapoor (Eds.), Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference, IntelliSys 2019, London, UK, September 5-6, 2019, Volume 1 (Vol. 1037, pp. 982–997). Springer.

2017

  1. Asthma Severity Diagnosis System Based on Fuzzy Reasoning
    Mahmoud, S. E. E., & Muñoz-Hernández, S. (2017). Asthma Severity Diagnosis System Based on Fuzzy Reasoning. In A. J. Tallón-Ballesteros & K. Li (Eds.), Fuzzy Systems and Data Mining III - Proceedings of FSDM 2017 [Hualien, Taiwan, November 2017] (Vol. 299, pp. 197–202). IOS Press.

2014

  1. FleSe: A Tool for Posing Flexible and Expressive (Fuzzy) Queries to a Regular Database
    Ceruelo, V. P., & Muñoz-Hernández, S. (2014). FleSe: A Tool for Posing Flexible and Expressive (Fuzzy) Queries to a Regular Database. In S. Omatu, H. Bersini, Rodrı́guez Juan M. Corchado, Rodrı́guez Sara, P. Pawlewski, & E. Bucciarelli (Eds.), Distributed Computing and Artificial Intelligence, 11th International Conference, DCAI 2014, Salamanca, Spain, June 4-6, 2014 (Vol. 290, pp. 157–164). Springer.
  2. On modelling real-world knowledge to get answers to fuzzy and flexible searches without human intervention
    Ceruelo, V. P., & Muñoz-Hernández, S. (2014). On modelling real-world knowledge to get answers to fuzzy and flexible searches without human intervention. IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014, Beijing, China, July 6-11, 2014, 2329–2336.
  3. Enriching Traditional Databases with Fuzzy Definitions to Allow Flexible and Expressive Searches
    Ceruelo, V. P., & Muñoz-Hernández, S. (2014). Enriching Traditional Databases with Fuzzy Definitions to Allow Flexible and Expressive Searches. In A. Dourado, J. M. Cadenas, & J. Filipe (Eds.), FCTA 2014 - Proceedings of the International Conference on Fuzzy Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22 - 24 October, 2014 (pp. 111–118). SciTePress.
  4. Introducing Similarity Relations in a Framework for Modelling Real-World Fuzzy Knowledge
    Ceruelo, V. P., & Muñoz-Hernández, S. (2014). Introducing Similarity Relations in a Framework for Modelling Real-World Fuzzy Knowledge. In A. Laurent, O. Strauss, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems - 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part III (Vol. 444, pp. 51–60). Springer.

2013

  1. Getting Answers to Fuzzy and Flexible Searches by Easy Modelling of Real-World Knowledge
    Ceruelo, V. P., & Muñoz-Hernández, S. (2013). Getting Answers to Fuzzy and Flexible Searches by Easy Modelling of Real-World Knowledge. In A. C. Rosa, A. Dourado, K. M. Correia, J. Filipe, & J. Kacprzyk (Eds.), IJCCI 2013 - Proceedings of the 5th International Joint Conference on Computational Intelligence, Vilamoura, Algarve, Portugal, 20-22 September, 2013 (pp. 265–272). SciTePress.

2012

  1. Evaluation of an application for managing microcredits in education
    Muñoz-Hernández, S., & Ramirez-Robles, M. (2012). Evaluation of an application for managing microcredits in education. In E. Cutrell, E. W. Zegura, G. Borriello, & B. Thies (Eds.), ACM Annual Symposium on Computing for Development, ACM DEV ’12, Atlanta, GA, USA - March 10 - 11, 2012 (p. 22:1). ACM.
  2. UBURYO: Open source software for managing microcredits in education
    Ramirez-Robles, M., & Muñoz-Hernández, S. (2012). UBURYO: Open source software for managing microcredits in education. Proceedings of the IEEE Global Engineering Education Conference, EDUCON 2012, Marrakech, Morocco, April 17-20, 2012, 1–8.

2011

  1. RFuzzy: Syntax, semantics and implementation details of a simple and expressive fuzzy tool over Prolog
    Muñoz-Hernández, S., Ceruelo, V. P., & Strass, H. (2011). RFuzzy: Syntax, semantics and implementation details of a simple and expressive fuzzy tool over Prolog. Inf. Sci., 181(10), 1951–1970.

2010

  1. Towards Fuzzy Granularity Control in Parallel/Distributed Computing
    de la Vega, T. T., Lopez-Garcı́a P., & Muñoz-Hernández, S. (2010). Towards Fuzzy Granularity Control in Parallel/Distributed Computing. In J. Filipe & J. Kacprzyk (Eds.), ICFC-ICNC 2010 - Proceedings of the International Conference on Fuzzy Computation and International Conference on Neural Computation, [parts of the International Joint Conference on Computational Intelligence IJCCI 2010], Valencia, Spain, October 24-26, 2010 (pp. 43–55). SciTePress.
  2. A Fuzzy Approach to Resource Aware Automatic Parallelization
    de la Vega, T. T., Lopez-Garcı́a P., & Muñoz-Hernández, S. (2010). A Fuzzy Approach to Resource Aware Automatic Parallelization. In K. Madani, A. D. Correia, A. C. Rosa, & J. Filipe (Eds.), Computational Intelligence - Revised and Selected Papers of the International Joint Conference, IJCCI 2010, Valencia, Spain, October 2010 (Vol. 399, pp. 229–245). Springer.
  3. Developing user-sensitive search engines from fuzzy concepts
    Ceruelo, V. P., Muñoz-Hernández, S., & Fernández Dı́az. (2010). Developing user-sensitive search engines from fuzzy concepts. In E. Teniente & S. Abrahão (Eds.), XV Jornadas de Ingenierı́a del Software y Bases de Datos (JISBD 2010), Valencia, Spain, September 7-10, 2010. Actas (pp. 175–186). IBERGARCETA Pub. S.L.
  4. A Discussion of Thin Client Technology for Computer Labs
    Martı́nez-Mateo Jesús, Muñoz-Hernández, S., & Pérez-Rey, D. (2010). A Discussion of Thin Client Technology for Computer Labs. CoRR, abs/1005.2534.

2009

  1. c&d-Learning Implementation Architecture Adapting e-Learning to Developing Countries
    Martı́nez-Mateo Jesús, Muñoz-Hernández, S., & Pérez-Rey, D. (2009). c&d-Learning Implementation Architecture Adapting e-Learning to Developing Countries. In J. A. M. Cordeiro, B. Shishkov, A. Verbraeck, & M. Helfert (Eds.), CSEDU 2009 - Proceedings of the First International Conference on Computer Supported Education, Lisboa, Portugal, March 23-26, 2009 - Volume 1 (pp. 89–96). INSTICC Press.
  2. Operational Semantics for a Fuzzy Logic Programming System with Defaults and Constructive Answers
    Strass, H., Muñoz-Hernández, S., & Ceruelo, V. P. (2009). Operational Semantics for a Fuzzy Logic Programming System with Defaults and Constructive Answers. In J. P. Carvalho, D. Dubois, U. Kaymak, & J. M. da Costa Sousa (Eds.), Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009 (pp. 1827–1832).
  3. Easy Fuzzy Tool for Emotion Recognition - Prototype from Voice Speech Analysis
    Farooque, M., & Muñoz-Hernández, S. (2009). Easy Fuzzy Tool for Emotion Recognition - Prototype from Voice Speech Analysis. In A. D. Correia, A. C. Rosa, & K. Madani (Eds.), IJCCI 2009 - Proceedings of the International Joint Conference on Computational Intelligence, Funchal, Madeira, Portugal, October 5-7, 2009 (pp. 85–88). INSTICC Press.
  4. RFuzzy: An Expressive Simple Fuzzy Compiler
    Muñoz-Hernández, S., Ceruelo, V. P., & Strass, H. (2009). RFuzzy: An Expressive Simple Fuzzy Compiler. In J. Cabestany, F. S. Hernández, A. Prieto, & J. M. Corchado (Eds.), Bio-Inspired Systems: Computational and Ambient Intelligence, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I (Vol. 5517, pp. 270–277). Springer.
  5. Rfuzzy framework
    Ceruelo, V. P., Muñoz-Hernández, S., & Strass, H. (2009). Rfuzzy framework. CoRR, abs/0903.2188.

2008

  1. Implementing Constructive Intensional Negation
    Mariño, J., Moreno-Navarro, J. J., & Muñoz-Hernández, S. (2008). Implementing Constructive Intensional Negation. New Gener. Comput., 27(1), 25–56.
  2. Modelling Mash-up Resources
    Perez, I., Ángel Herranz-Nieva, Muñoz-Hernández, S., & Moreno-Navarro, J. J. (2008). Modelling Mash-up Resources. In A. Moreira, Suárez-Cabal Marı́a José, C. de la Riva, & J. Tuya (Eds.), XIII Jornadas de Ingenierı́a del Software y Bases de Datos (JISBD 2008), Gijón, Spain, October 7-10, 2008. Proceedings (pp. 135–146).
  3. Extending Constructive Logic Negation with Types
    Muñoz-Hernández, S., & Moreno-Navarro, J. J. (2008). Extending Constructive Logic Negation with Types. In M. Falaschi (Ed.), Proceedings of the 17th International Workshop on Functional and (Constraint) Logic Programming, WFLP 2008, Siena, Italy, July 3-4, 2008 (Vol. 246, pp. 183–198). Elsevier.

2007

  1. Fuzzy Prolog as Cognitive Layer in RoboCupSoccer
    Muñoz-Hernández, S., & Wiguna, W. S. (2007). Fuzzy Prolog as Cognitive Layer in RoboCupSoccer. Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, CIG 2007, Honolulu, Hawaii, USA, 1-5 April, 2007, 340–345.
  2. Fuzzy Cognitive Layer in RoboCupSoccer
    Muñoz-Hernández, S., & Wiguna, W. S. (2007). Fuzzy Cognitive Layer in RoboCupSoccer. In P. Melin, O. Castillo, L. T. Aguilar, J. Kacprzyk, & W. Pedrycz (Eds.), Foundations of Fuzzy Logic and Soft Computing, 12th International Fuzzy Systems Association World Congress, IFSA 2007, Cancun, Mexico, June 18-21, 2007, Proceedings (Vol. 4529, pp. 635–645). Springer.
  3. Fuzzy Prolog: Default Values to Represent Missing Information
    Muñoz-Hernández, S., & Vaucheret, C. (2007). Fuzzy Prolog: Default Values to Represent Missing Information. In V. G. Kaburlasos & G. X. Ritter (Eds.), Computational Intelligence Based on Lattice Theory (Vol. 67, pp. 287–308). Springer.
  4. Proceedings of the 16th Workshop in Logic-based Methods in Programming Environments (WLPE2006)
    Vanhoof, W., & Muñoz-Hernández, S. (2007). Proceedings of the 16th Workshop in Logic-based Methods in Programming Environments (WLPE2006). CoRR, abs/cs/0701148.

2006

  1. Default Values to Handle Incomplete Fuzzy Information
    Muñoz-Hernández, S., & Vaucheret, C. (2006). Default Values to Handle Incomplete Fuzzy Information. IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2006, Vancouver, BC, Canada, July 16-21, 2006, 14–21.

2005

  1. Incomplete Fuzzy Information in Prolog
    Muñoz-Hernández, S., & Vaucheret, C. (2005). Incomplete Fuzzy Information in Prolog. In E. Montseny & P. Sobrevilla (Eds.), Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, Barcelona, Spain, September 7-9, 2005 (pp. 787–792). Universidad Polytecnica de Catalunya.
  2. Extending Prolog with Incomplete Fuzzy Information
    Muñoz-Hernández, S., & Vaucheret, C. (2005). Extending Prolog with Incomplete Fuzzy Information. In A. Serebrenik & S. Muñoz-Hernández (Eds.), Proceedings of the 15th International Workshop on Logic Programming Environments, Sitges (Barcelona), Spain, October 5, 2005 (pp. 77–93).
  3. Solving Collaborative Fuzzy Agents Problems with CLP(FD)
    Muñoz-Hernández, S., & Gómez-Pérez, J. M. (2005). Solving Collaborative Fuzzy Agents Problems with CLP(FD). In M. V. Hermenegildo & D. Cabeza (Eds.), Practical Aspects of Declarative Languages, 7th International Symposium, PADL 2005, Long Beach, CA, USA, January 10-11, 2005, Proceedings (Vol. 3350, pp. 187–202). Springer.
  4. Proceedings of the 15th International Workshop on Logic Programming Environments, Sitges (Barcelona), Spain, October 5, 2005
    Serebrenik, A., & Muñoz-Hernández, S. (Eds.). (2005). Proceedings of the 15th International Workshop on Logic Programming Environments, Sitges (Barcelona), Spain, October 5, 2005.
  5. Proceedings of the 15th Workshop on Logic-based methods in Programming Environments WLPE’05 – October 5, 2005 – Sitges (Barcelona), Spain
    Serebrenik, A., & Muñoz-Hernández, S. (2005). Proceedings of the 15th Workshop on Logic-based methods in Programming Environments WLPE’05 – October 5, 2005 – Sitges (Barcelona), Spain. CoRR, abs/cs/0508078.
  6. Extending Prolog with Incomplete Fuzzy Information
    Muñoz-Hernández, S., & Vaucheret, C. (2005). Extending Prolog with Incomplete Fuzzy Information. CoRR, abs/cs/0508091.

2004

  1. Fuzzy Prolog: a new approach using soft constraints propagation
    Guadarrama, S., Muñoz-Hernández, S., & Vaucheret, C. (2004). Fuzzy Prolog: a new approach using soft constraints propagation. Fuzzy Sets Syst., 144(1), 127–150.
  2. Constructive Intensional Negation
    Muñoz-Hernández, S., Mariño, J., & Moreno-Navarro, J. J. (2004). Constructive Intensional Negation. In Y. Kameyama & P. J. Stuckey (Eds.), Functional and Logic Programming, 7th International Symposium, FLOPS 2004, Nara, Japan, April 7-9, 2004, Proceedings (Vol. 2998, pp. 39–54). Springer.
  3. Implementation Results in Classical Constructive Negation
    Muñoz-Hernández, S., & Moreno-Navarro, J. J. (2004). Implementation Results in Classical Constructive Negation. In B. Demoen & V. Lifschitz (Eds.), Logic Programming, 20th International Conference, ICLP 2004, Saint-Malo, France, September 6-10, 2004, Proceedings (Vol. 3132, pp. 284–298). Springer.
  4. Soundness and Completeness of an "Efficient" Negation for Prolog
    Moreno-Navarro, J. J., & Muñoz-Hernández, S. (2004). Soundness and Completeness of an "Efficient" Negation for Prolog. In J. J. Alferes & J. A. Leite (Eds.), Logics in Artificial Intelligence, 9th European Conference, JELIA 2004, Lisbon, Portugal, September 27-30, 2004, Proceedings (Vol. 3229, pp. 279–293). Springer.
  5. Collaborative Fuzzy Agents Using Constraint Logic Programming over Finite Domains
    Muñoz-Hernández, S., & Gómez-Pérez, J. M. (2004). Collaborative Fuzzy Agents Using Constraint Logic Programming over Finite Domains. In R. Meersman, Z. Tari, & A. Corsaro (Eds.), On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops: OTM Confederated International Workshops and Posters, GADA, JTRES, MIOS, WORM, WOSE, PhDS, and INTEROP 2004, Agia Napa, Cyprus, October 25-29, 2004. Proceedings (Vol. 3292, pp. 5–6). Springer.
  6. Proceedings of the 14th International Workshop on Logic Programming Environments, WLPE 2004, Saint-Malo, France, September 6-7, 2004
    Muñoz-Hernández, S., & Gómez-Pérez, J. M. (Eds.). (2004). Proceedings of the 14th International Workshop on Logic Programming Environments, WLPE 2004, Saint-Malo, France, September 6-7, 2004.

2003

  1. A Real Implementation for Constructive Negation
    Muñoz-Hernández, S., & Moreno-Navarro, J. J. (2003). A Real Implementation for Constructive Negation. In C. Palamidessi (Ed.), Logic Programming, 19th International Conference, ICLP 2003, Mumbai, India, December 9-13, 2003, Proceedings (Vol. 2916, pp. 496–497). Springer.
  2. Constructive combination of crisp and fuzzy logic in a Prolog compiler
    Muñoz-Hernández, S., Vaucheret, C., & Guadarrama, S. (2003). Constructive combination of crisp and fuzzy logic in a Prolog compiler. In F. Mesnard & A. Serebrenik (Eds.), Proceedings of the 13th International Workshop on Logic Programming Environments, Tata Institute of Fundamental Research, Mumbai, India, December 8, 2003 (Vol. CW371, pp. 75–89). Katholieke Universiteit Leuven, Department of Computer Science, Celestijnenlaan 200A, B-3001 Heverlee (Belgium).

2002

  1. Combining Crisp and Fuzzy Logic in a Prolog Compiler
    Muñoz-Hernández, S., Vaucheret, C., & Guadarrama, S. (2002). Combining Crisp and Fuzzy Logic in a Prolog Compiler. In J. J. Moreno-Navarro & J. Mariño-Carballo (Eds.), AGP 2002: Proceedings of the Joint Conference on Declarative Programming, APPIA-GULP-PRODE, Madrid, Spain, September 16-18, 2002 (pp. 23–38). Facultad de Informática, Universidad Politécnica de Madrid.
  2. Constructive negation for Prolog: A real implementation
    Muñoz-Hernández, S., & Moreno-Navarro, J. J. (2002). Constructive negation for Prolog: A real implementation. In J. J. Moreno-Navarro & J. Mariño-Carballo (Eds.), AGP 2002: Proceedings of the Joint Conference on Declarative Programming, APPIA-GULP-PRODE, Madrid, Spain, September 16-18, 2002 (pp. 39–52). Facultad de Informática, Universidad Politécnica de Madrid.
  3. Fuzzy Prolog: A Simple General Implementation Using CLP(R)
    Vaucheret, C., Guadarrama, S., & Muñoz-Hernández, S. (2002). Fuzzy Prolog: A Simple General Implementation Using CLP(R). In P. J. Stuckey (Ed.), Logic Programming, 18th International Conference, ICLP 2002, Copenhagen, Denmark, July 29 - August 1, 2002, Proceedings (Vol. 2401, p. 469). Springer.
  4. Fuzzy Prolog: A Simple General Implementation Using CLP(R)
    Vaucheret, C., Guadarrama, S., & Muñoz-Hernández, S. (2002). Fuzzy Prolog: A Simple General Implementation Using CLP(R). In M. Baaz & A. Voronkov (Eds.), Logic for Programming, Artificial Intelligence, and Reasoning, 9th International Conference, LPAR 2002, Tbilisi, Georgia, October 14-18, 2002, Proceedings (Vol. 2514, pp. 450–464). Springer.

2001

  1. Efficient Negation Using Abstract Interpretation
    Muñoz-Hernández, S., Moreno-Navarro, J. J., & Hermenegildo, M. V. (2001). Efficient Negation Using Abstract Interpretation. In R. Nieuwenhuis & A. Voronkov (Eds.), Logic for Programming, Artificial Intelligence, and Reasoning, 8th International Conference, LPAR 2001, Havana, Cuba, December 3-7, 2001, Proceedings (Vol. 2250, pp. 485–494). Springer.

2000

  1. How to Incorporate Negation in a Prolog Compiler
    Moreno-Navarro, J. J., & Muñoz-Hernández, S. (2000). How to Incorporate Negation in a Prolog Compiler. In E. Pontelli & Costa Vı́tor Santos (Eds.), Practical Aspects of Declarative Languages, Second International Workshop, PADL 2000, Boston, MA, USA, January 2000, Proceedings (Vol. 1753, pp. 124–140). Springer.

1998

  1. On the Practical Use of Negation in a Prolog Compiler
    Moreno-Navarro, J. J., & Muñoz-Hernández, S. (1998). On the Practical Use of Negation in a Prolog Compiler. In J. L. Freire-Nistal, M. Falaschi, & M. V. Ferro (Eds.), 1998 Joint Conference on Declarative Programming, APPIA-GULP-PRODE’98, A Coruña, Spain, July 20-23, 1998 (pp. 457–469).
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