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Journal Articles and Conference Papers

  • Adriana González, Asier Fullaondo, Javier Rodríguez, Cristina Tîrnăucă, Iñaki Odriozola, Adrian Odriozola. Conjugated linoleic acid metabolite impact in colorectal cancer: a potential microbiome-based precision nutrition approach.
    In:     Nutrition Reviews, Vol. 00(0):1-13. Oxford University Press (10 May 2024)

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  • Maria Paula Corrêa Angeloni, Rafael Duque, Káthia Marçal de Oliveira, Emmanuelle Grislin-Le Strugeon, Cristina Tîrnăucă. A Tertiary Study on Quality in Use Evaluation of Smart Environment Applications
    In:     18th International Conference on Research Challenges in Information Science (RCIS), May 14-17, 2024, pp. 115-130. Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 513)

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  • Maria Paula Corrêa Angeloni, Káthia Marçal de Oliveira, Emmanuelle Grislin-Le Strugeon, Rafael Duque, Cristina Tîrnăucă. A Review on Quality in Use Evaluation of Smart Environment Applications: What's Next?
    In:     EICS '23 Companion: Companion Proceedings of the 2023 ACM SIGCHI Symposium on Engineering Interactive Computing Systems, June 2023, pp. 9-15

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  • Daniel Homocianu, Cristina Tîrnăucă. MEM and MEM4PP: New Tools Supporting the Parallel Generation of Critical Metrics in the Evaluation of Statistical Models.
    In:     Axioms, Vol. 11 (Issue 10), pp. 549. MDPI (October 2022)

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  • Cristina Tîrnăucă, Diana Stan, Johannes M. Meissner, Diana Salas-Gómez, Mario Fernández-Gorgojo, Jon Infante. A Machine Learning Approach to Detect Parkinson's Disease by Looking at Gait Alterations.
    In:     Mathematics, Vol. 10, pp. 3500. MDPI (September 2022)

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  • Antonio Sánchez-Rodríguez, Cristina Tîrnăucă, Diana Salas-Gómez, Mario Fernández-Gorgojo, Isabel Martínez-Rodríguez, María Sierra, Isabel González-Aramburu, Diana Stan, Angela Gutierrez-González, Johannes M. Meissner, Javier Andrés-Pacheco, María Rivera-Sánchez, María Victoria Sánchez-Peláez, Pascual Sánchez-Juan, Jon Infante. Sensor-based gait analysis in the premotor stage of LRRK2 G2019S-associated Parkinson's disease.
    In:     Parkinsonism & Related Disorders, Vol. 98, pp. 21-26. Elsevier (May 2022)

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  • Santos Bringas, Rafael Duque, Alicia Nieto-Reyes, Cristina Tîrnăucă, José Luis Montaña. A Framework for Identifying Sequences of Interactions that Cause Usability Problems in Collaborative Systems.
    In:     Special Issue on Human-Computer Interaction and Collaboration: Challenges and Prospects. Electronics 2021, 10(4), 388. MDPI (2021)

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  • Cristina Tîrnăucă, José L. Balcázar, Domingo Gómez-Pérez. Closed-Set-Based Discovery of Representative Association Rules.
    In:     International Journal of Foundations of Computer Science, Vol. 31. No. 01, pp. 143-156. Word Scientific (2020)

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  • Sergio Salomón, Cristina Tîrnăucă, Rafael Duque, José Luis Montaña. User identification from mobility traces.
    In:     Journal of Ambient Intelligence and Humanized Computing, Vol. 14, pp. 31-40. Springer, Berlin Heidelberg (2023) (First Online: 07 November 2018)

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  • Sergio Salomón, Cristina Tîrnăucă. Human activity recognition through weighted finite automata.
    In:     J. Bravo, O. Baños (Eds.) UCAmI '18. Proceedings, Vol. 2(19): 1263. MDPI AG, Switzerland (2018)

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  • Cristina Tîrnăucă, Domingo Gómez-Pérez, José L. Balcázar, José L. Montaña. Global optimality in k-means clustering.
    In:     Information Sciences, Vol. 439-440, pp. 79-94. Elsevier (May 2018).

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  • Sergio Salomón, Cristina Tîrnăucă, Rafael Duque, José Luis Montaña. Daily routines inference based on location history.
    In:     S.F. Ochoa, P. Sing, J. Bravo (Eds.) UCAmI '17. LNCS, Vol. 10586, pp. 1-12. Springer, Berlin (2017)

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  • Cristina Tîrnăucă, Rafael Duque, José Luis Montaña. User interaction modeling and profile extraction in interactive systems: a groupware application case study.
    In:     Sensors, Vol. 17(7): 1669. MDPI AG, Switzerland (July 2017).

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  • Cristina Tîrnăucă, José Luis Montaña, Zoraida Mediavilla. Neural networks in autonomous driving.
    In:     S. Ontañón, A. J. González, J. L. Montaña (Eds.) The AAAI 2017 Spring Symposium on Learning from Observation of Humans. Technical Report SS-17-06, pp. 520-523.

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  • Marta Arias, José L. Balcázar, Cristina Tîrnăucă. Learning definite Horn formulas from closure queries.
    In:     Theoretical Computer Science, Vol. 658, Part B, pp. 346-356. Springer, Berlin (7 January 2017).

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  • Cristina Tîrnăucă, Rafael Duque, José Luis Montaña. Automatic generation of user interaction models.
    In:     C.R. García, P. Caballero-Gil, M. Burmester, A. Quesada-Arencibia (Eds.) UCAmI '16. LNCS, Vol. 10069, pp. 406-418. Springer, Berlin (2016)

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  • José L. Montaña, César L. Alonso, Cruz E. Borges, Cristina Tîrnăucă. Model-driven regularization approach to straight line program genetic programming.
    In:     Expert Systems with Applications, Vol. 57, pp. 76-90. Springer, Berlin (September 2016).

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  • Rafael Duque, José L. Montaña, Cristina Tîrnăucă. Mining the dataflow in interactive systems: automatic generation of user behavior patterns.
    In:     Oscar Luaces, Francisco Herrera, José A. Gámez, Luis Martínez, Edurne Barrenechea, José Riquelme, Alicia Troncoso, Bruno Baruque, Mikel Galar, Héctor Quintián, Emilio Corchado (Eds.)
    Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA '16), Parte IV.-VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA '16), pp. 885-894.
    ISBN: 978-84-9012-632-5

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  • Cristina Tîrnăucă, José L. Montaña, Santiago Ontañón, Avelino J. González, Luis M. Pardo. Behavioral modeling based on probabilistic finite automata: an empirical study.
    In:     Sensors, Vol. 16(7): 958. MDPI AG, Switzerland (June 2016).

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  • Cristina Tîrnăucă, José Luis Montaña, Carlos Ortiz-Sobremasas, Santiago Ontañón, Avelino J. González Teaching a virtual robot to perform tasks by learning from observation.
    In:     J.M. García-Chamizo, Giancarlo Fortino, Sergio F. Ochoa (Eds.) UCAmI '15. LNCS, Vol. 9454, pp. 103-115. Springer, Berlin (2015)

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  • José L. Montaña, Cristina Tîrnăucă, Carlos Ortiz-Sobremasas, Santiago Ontañón. A probabilistic automata framework for behavioral recognition.
    In:     José M. Puerta, José A. Gámez, Bernabé Dorronsoro, Edurne Barrenechea, Alicia Troncoso, Bruno Baruque, Mikel Galar (Eds.)
    Actas de la XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA '15), pp. 91-100. ISBN: 978-84-608-4099-2

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  • Cristina Tîrnăucă. A survey of state merging strategies for DFA identification in the limit.
    In:     Triangle: Language, Literature, Computation, Vol. 8, pp. 121-136. Publicacions URV, Tarragona (June 2012).

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  • José L. Balcázar, Cristina Tîrnăucă. Border algorithms for computing Hasse diagrams of arbitrary lattices.
    In:     P. Valtchev and R. Jäschke (Eds.) ICFCA '11. LNAI, Vol. 6628, pp. 49-64. Springer, Berlin (2011).

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  • José L. Balcázar, Cristina Tîrnăucă. Closed-set-based discovery of representative association rules revisited.
    In: Ali Khenchaf and Pascal Poncelet (Eds.)     Extraction et Gestion des Connaissances (EGC '11), pp. 635-646.
    Revue des Nouvelles Technologies de l'Information RNTI E.20 (Sous la direction de Djamel A. Zighed et Gilles Venturini). 
    Hermann, Éditeurs des sciences et des arts, Paris. ISBN 978 27056 8112 8.
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  • Victor Mitrana, Cristina Tîrnăucă. New bounds for the query complexity of an algorithm that learns DFAs with correction and equivalence queries.
    In: Acta Informatica, Vol. 48, Number 1, pp. 43-50. Springer, Berlin (February 2011).
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  • José L. Balcázar, Cristina Tîrnăucă, Marta E. Zorrilla. Filtering association rules with negations on the basis of their confidence boost.
    In: Proc. of the International Conference on Knowledge Discovery and Information Retrieval (KDIR '10), pages 263-268.
    DOI:10.5220/0003095802630268
    KDIR is part of IC3K, the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
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  • Cristina Tîrnăucă, Cătălin Ionuţ Tîrnăucă. Types of trusted information that make DFA identification with correction queries feasible.
    In: M.     Domaratzki and K. Salomaa (Eds.) CIAA '10. LNCS, Vol. 6482, pp. 272-281. Springer, Berlin (2011). 
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  • José L. Balcázar, Cristina Tîrnăucă, Marta E. Zorrilla. Mining educational data for patterns with negations and high confidence boost.
    In: Alicia Troncoso and Jos    é C. Riquelme (Eds.) Actas del V Simpocio de Teoría y Aplicaciones de Minería de Datos (TAMIDA '10), pp. 329-338.
    Ibergarceta Publicaciones, S.L. Madrid (2010). ISBN 978 84 92812 60 8
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  • Cristina Tîrnăucă, Satoshi Kobayashi. Necessary and sufficient conditions for learning with correction queries.
    In: Theoretical Computer Science (TCS), Vol. 410, Issues 47-49, pp. 5145-5157. Elsevier (November 2009).
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  • Mihai Ionescu, Cătălin Ionuţ Tîrnăucă, Cristina Tîrnăucă. Dreams and spiking neural P systems.
    In: Romanian Journal of Information Science and Technology (RomJist), Vol. 12, No. 2, pp. 209-217. Editura Academiei Române, Bucuresti (2009).
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  • Cristina Tîrnăucă. A note on the relationship between different types of correction queries
    In: A. Clark, François Coste, and Laurent Miclet (Eds.) ICGI ’08. LNAI, Vol. 5278, pp. 213-223. Springer, Berlin (2008).
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  • Cristina Tîrnăucă, Timo Knuutila. Polynomial time algorithms for learning k-reversible languages and pattern languages with correction queries.
    In: M. Hutter, R.A. Servedio, and E. Takimoto (Eds.) ALT ’07. LNAI, Vol. 4754, pp. 264-276. Springer, Berlin (2007).
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  • Cristina Tîrnăucă, Timo Knuutila. Efficient language learning with correction queries.
    TUCS Technical Report No. 822 (May 2007).
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  • Cristina Tîrnăucă, Satoshi Kobayashi. A characterization of the language classes learnable with correction queries.
    In: J.-Y. Cai, S.B. Cooper, and H. Zhu (Eds.) TAMC ’07. LNCS, Vol. 4484, pp. 398-407. Springer, Berlin (2007).
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  • Cătălin Ionuţ Tîrnăucă, Cristina Tîrnăucă. Learning regular tree languages from correction and equivalence queries.
    Journal of Automata, Languages and Combinatorics, Vol. 12, No. 4, pp. 501-524 (2007).
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  • Leonor Becerra-Bonache, Adrian Horia Dediu, Cristina Tîrnăucă. Learning DFA from correction and equivalence queries.
    In: Y. Sakakibara, S. Kobayashi, K. Sato, T. Nishino, and E. Tomita (Eds.) ICGI ’06. LNAI, Vol. 4201, pp. 281-292. Springer, Berlin (2006).
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  • Madalina Barbaiani, Cristina Bibire, Jürgen Dassow, Aidan Delaney, Szilárd Fazekas, Mihai Ionescu, Guangwu Liu, Atif Lodhi, Benedek Nagy.
    The power of programmed grammars with graphs from various classes.
    Journal of Applied Mathematics and Computing, Vol. 22, No. 1-2, pp. 21-38  (2006). Website:http://jamc.net
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  • Leonor Becerra-Bonache, Cristina Bibire, Adrian Horia Dediu. Learning DFA from corrections.
    In: Henning Fernau (Ed.) TAGI '05. WSI-2005-14, pp. 1-11. Technical Report, University of Tübingen (2005).
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Book Chapters

  • Cristina Tîrnăucă. Correction queries and language learning.
    In: Gemma Bel-Enguix and M. Dolores Jiménez-López (eds.). Language as a Complex System: Interdisciplinary Approaches.
    Cambridge Scholars Publishing, England, pp. 151-196, 2010. ISBN 1-4438-1762-7.
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  • Cristina Tîrnăucă. Correction queries in active learning.
    In: Carlos Martín-Vide (ed.).     Scientific Applications of Language Methods, vol. 2 of the series Mathematics, Computing, Language, and Life: Frontiers in Mathematical Linguistics and Language Theory, Imperial College Press, London, pp. 387-419, 2011. ISBN: 978-1-84816-544-1
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PhD Thesis

  • Cristina Tîrnăucă. Language learning with correction queries.
    Available online here.