Publications

Papers in Journal Citation Reports (JCRs)

Journal papers organized in topics:

Listed from the last publication:

• [41] Costa, V., Alonso-Moral, J.M., Falomir, Z., Dellunde P., An art painting style explainable classifier grounded on logical and commonsense reasoning. Soft Comput (2023). DOI: 10.1007/s00500-023-08258-x.

• [40] Casales-Garcia V., Falomir Z., Museros L., Sanz I., Gonzalez-Abril L., A Study on how food colour may determine the categorization of a dish: predicting meal appeal from colour combinations. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems Vol. 30, Suppl. 2 (2022) 293–308. DOI: 10.1142/S0218488522400232

• [39] Costa V., Dellunde P., Falomir Z. (2021), The logical style painting classifier based on Horn clauses and explanations (l-SHE), Logic Journal of the IGPL,  29(1): 96-119. DOI: 10.1093/jigpal/jzz029

• [38] Falomir, Z., Tarin, R., Puerta, A. et al (2021). An interactive game for training reasoning about paper folding. Multimed Tools Appl., 80, pages 6535–6566. https://doi.org/10.1007/s11042-020-09830-5

• [37] Falomir Z., Costa V., Plaza E., Gibert K. (2021), Special issue on logics and artificial intelligence, Logic Journal of the IGPL, 29(1): 1-6. DOI: https://doi.org/10.1093/jigpal/jzz080

• [36]  Tang M., Falomir Z., Sheng Y., A Multilevel Road Alignment Model for Spatial-Query-by-Sketch, Appl. Sci. 2020, 10(21), 7685; https://doi.org/10.3390/app10217685, Open Access.

• [35] Tang M.,  Falomir Z.,  Freksa C.,  Sheng Y.,  Lyu H. (2020), Extracting invariant characteristics of sketch maps: Towards place query‐by‐sketch, Transactions in GIS, 00: 1– 41. Online first. DOI: https://doi.org/10.1111/tgis.12621.

• [34] Falomir Z., Gibert K., Plaza E. (2020), Special issue on pattern recognition and cognitive assistants, Pattern Recognition Letters, 133: 295 - 297. DOI: https://doi.org/10.1016/j.patrec.2020.03.017

• [33] Angulo, C., Falomir, Z., Anguita, D., Agell, N. (2020), Cambria E., Bridging Cognitive Models and Recommender Systems. Cognitive Computation, 12, 426–427. https://doi.org/10.1007/s12559-020-09719-3

• [32] Falomir Z., Pich A., Costa V. (2020), Spatial Reasoning about Qualitative Shape Compositions: Composing Qualitative Lengths and Angles, Annals of Mathematics and Artificial Intelligence, 88:589–621. DOI:  10.1007/s10472-019-09637-7. Download Code and Tests.

• [31] Falomir Z., Plaza E. (2020), Towards a model of creative understanding: deconstructing and recreating conceptual blends using image schemas and qualitative spatial descriptors, Annals of Mathematics and Artificial Intelligence, Festcrift in Honor of Oliviero Stock, 88, 457–477. DOI: 10.1007/s10472-019-09619-9

• [30] Museros L., Sanz I., Falomir Z., Gonzalez-Abril L. (2020), Creating, Interpreting and Rating Harmonic Colour Palettes Using a Cognitively Inspired Model, Cognitive Computation, 12, 442–459. DOI: 10.1007/s12559-018-9589-2.

• [29] Falomir Z., Costa V., Gonzalez-Abril L. (2019), Obtaining Discriminative Colour Names according to the Context: Using a Fuzzy Colour Model and Probabilistic Reference Grounding, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Special issue on Modelling Decisions in AI, Vol. 27, No. Suppl. 1, pp. 107-142. DOI:  10.1142/S0218488519400063. 

• [28] Falomir Z., Olteteanu A-M. (2019), Special issue on problem-solving, creativity and spatial reasoning, Cognitive Systems Research, 58: 31-34. DOI: 10.1016/j.cogsys.2019.05.001. Editorial.

• [27] Avor D., Belgiu M., Falomir Z., Mougenot I, Durieux L. (2019), Ontologies to interpret remote sensing images: why do we need them? GIScience & Remote Sensing, 56(6): 911-939. Open Access. DOI: https://doi.org/10.1080/15481603.2019.1587890

• [26] Freksa C. and Barkowsky T. and Falomir Z. and  van de Ven J. (2019), Geometric problem solving with strings and pins, Spatial Cognition & Computation, 19(1): 46-68. DOI: 10.1080/13875868.2018.1531415

• [25] Pich A. and Falomir Z. (2018), Logical Composition of Qualitative Shapes Applied to Solve Spatial Reasoning Tests, Cognitive Systems Research, 52: 82-102. DOI: 10.1016/j.cogsys.2018.06.002. Download Dataset.

• [24] Falomir Z. and Kluth T. (2018). Qualitative Spatial Logic Descriptors from 3D Indoor Scenes to Generate Explanations in Natural Language, Cognitive Processing, 19(2): 265-284, DOI: 10.1007/s10339-017-0824-7

• [23] Olteteanu A.-M., Falomir Z., Freksa C. (2018), Artificial Cognitive Systems that can answer Human Creativity Tests: An Approach and Two Case Studies. IEEE Transactions on Cognitive and Developmental Systems, 10(2): 469-475. DOI: 10.1109/TCDS.2016.2629622

• [22] Falomir Z., Museros L., Sanz I., Gonzalez-Abril L. (2018), Categorizing Paintings in Art Styles based on Qualitative Color Descriptors, Quantitative Global Features and Machine Learning (QArt-Learn), Expert Systems with Applications, 97: 83 - 94, DOI: 10.1016/j.eswa.2017.11.056. 

• [21] Falomir Z., Ortega J. A., Martínez-Madrid N., Guesgen H. (2017): Thematic issue on human-centred ambient intelligence: Cognitive approaches, reasoning and learning. Journal of Ambient Intelligence and Smart Environments (JAISE), 9(5): 539-542, DOI: 10.3233/AIS-170449.

• [20]  Falomir Z. (2017). Qualitative Descriptors Applied to Ambient Intelligent Systems, Journal of Ambient Intelligence and Smart Environments (JAISE), Thematic Issue Living and Working in Smart Buildings: Past, Present and Future", 9 (1): 21-39. DOI: 10.3233/AIS-160418

• [19] Ali A.L., Falomir Z., Schmid F., Freksa F. (2017), Rule-guided human classification of volunteered geographic information, ISPRS-J. Photogramm. Remote Sense, 127: 3-15, DOI: 10.1016/j.isprsjprs.2016.06.003

• [18] Mast V., Falomir Z., Wolter D. (2016), Probabilistic Reference and Grounding with PRAGR for Dialogues with Robots, Journal of Experimental and Theoretical Artificial Intelligence, SI: Cognitive Robotics, 28(5): 889-911,  DOI: 10.1080/0952813X.2016.1154611. 

• [17] Olteteanu A.-M., Falomir Z. (2016), Object Replacement and Object Composition in a Creative Cognitive System. A computational counterpart of the Alternative Use Test, Cognitive Systems Research, SI: From Human to Artificial Cognition (and back): New Perspectives on Cognitively Inspired AI Systems, 39: 15-32, DOI: 10.1016/j.cogsys.2015.12.011

• [16] Olteteanu A.-M., Falomir Z. (2015), comRAT-C - A Computational Compound Remote Associates Test Solver based on Language Data and its Comparison to Human Performance. Pattern Recognition Letters, SI: Cognitive Systems for Knowledge Discovery, 67(1): 81-90, DOI: 10.1016/j.patrec.2015.05.015. 

• [15] Sanz I., Museros L., Falomir Z., Gonzalez-Abril L. (2015), Customizing a Qualitative Colour Description for Adaptability and Usability, Pattern Recognition Letters, 67(1): 2-10. DOI: 10.1016/j.patrec.2015.06.014.

• [14] Falomir Z., Olteteanu A.-M. (2015), Logics based on Qualitative Descriptors for Scene Understanding, Neurocomputing, 161: 3-16.  DOI: 10.1016/j.neucom.2015.01.074. [BibTex]

• [13] Falomir Z., Museros L., Gonzalez-Abril L. (2015), A Model for Colour Naming and Comparing based on Conceptual Neighbourhood. An Application for Comparing Art Compositions, Knowledge Based Systems, 81: 1-21. DOI: 10.1016/j.knosys.2014.12.013 [BibTex]

• [12] Museros L., Falomir Z., Sanz I., Gonzalez-Abril L. (2014), Sketch Retrieval based on Qualitative Shape Similarity Matching: Towards a Tool for Teaching Geometry to Children, AI Communications, 28(1): 73 – 86. DOI: 10.3233/AIC-140614. [Bibtex]

• [11] Falomir Z., Museros L., Gonzalez-Abril L., Sanz I. (2013), A Model for Qualitative Colour Comparison Using Interval Distances, Displays, 34: 250-257. DOI: 10.1016/j.displa.2013.07.004. [BibTex]

• [10] Falomir Z., Gonzalez-Abril L., Museros L., Ortega J. (2013), Measures of Similarity between Objects from a Qualitative Shape Description, Spatial Cognition and Computation, 13:181-218. DOI: 10.1080/13875868.2012.700463. [BibTex]

• [9] Falomir Z., Museros L., Gonzalez-Abril L., Velasco F. (2013), Measures of Similarity between Qualitative Descriptions of Shape, Colour and Size Applied to Mosaic Assembling, J. Vis. Commun. Image R. 24: 388–396. DOI: 10.1016/j.jvcir.2013.01.013 [BibTex]

• [8] Falomir, Z., Museros L., Castelló V., Gonzalez-Abril L. (2013), Qualitative Distances and Qualitative Image Descriptions for Representing Indoor Scenes in Robotics, Pattern Recognition Letters, 38: 731–743. DOI: 10.1016/j.patrec.2012.08.012. [BibTex]

• [7] Falomir Z. (2012), Qualitative Distances and Qualitative Description of Images for Indoor Scene Description and Recognition in Robotics, AI Communications, 25: 387–389, DOI: 10.3233/AIC-2012-0535. [BibTex]

• [6] Falomir Z., Arregui M., Madueño F., Corella D., Coltell O. (2012), Automation of Food Questionnaires in Medical Studies: a state-of-the-art review and future prospects, Computers in Biology and Medicine, 42, 964–974, DOI: 10.1016/j.compbiomed.2012.07.008. [BibTex]

• [5] Falomir Z., Museros L., Gonzalez-Abril L., Escrig M. T., Ortega J. A. (2012). A Model for Qualitative Description of Images based on Visual and Spatial Features, Computer Vision and Image Understanding, 116: 698-714. DOI: 10.1016/j.cviu.2012.01.007. [BibTex]

• [4] Museros L., Falomir Z., Velasco F.,Gonzalez-Abril L., Martí I. (2012). 2D Qualitative Shape Matching applied to Ceramic Mosaics Assembling, Journal of Intelligent Manufacturing, 23 (5): 1973–1983. DOI: 10.1007/s10845-011-0524-6. [BibTex]

• [3] Falomir Z., Jiménez-Ruiz E., Escrig M. T., Museros L. (2011), Describing Images using Qualitative Models and Description Logics, Spatial Cognition and Computation, 11(1): 45–74. DOI: 10.1080/13875868.2010.545611. [BibTex]

• [2] Falomir Z., Castelló V., Escrig M. T., Peris J. C. (2011), Fuzzy Distance Sensor Data Integration and Interpretation, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems(IJUFKS), 19 (3): 499–528. DOI: 10.1142/S0218488511007106.  [BibTex]

• [1] Museros L., Gonzalez-Abril L., Velasco F., Falomir Z (2010). A Pragmatic Qualitative Approach for Juxtaposing Shapes, Journal of Universal Computer Science (J.UCS), 16(11): 1410-1424. DOI: 10.3217/jucs-016-11-1410. [BibTex]

Books

• Falomir Z. Qualitative Distances and Qualitative Description of Images for Indoor Scene Description and Recognition in Robotics, Universitat Jaume I (Spain) and Universität Bremen (Germany):

  • Tesis Doctorals en Xarxa, ISBN 978-84-695-3694-0, http://www.tdx.cat/handle/10803/52897

  • Staats und Universität Bibliotek Bremen (SuUB): http://nbn-resolving.de/urn:nbn:de:gbv:46-00103603-11

• Falomir Z. and Museros L., Representaciones Cualitativas de Colores y Formas para la Automatización del Ensamblaje de Mosaicos Cerámicos por Similitud: Estudio en Castellón, City of Castellón Award on Experimental Science and Technology, ISBN 978-84-16155-17-0, Ayuntamiento de Castellón de la Plana, Spain.   

Proceedings

• Zoe Falomir, George M. Coghill and Wei Pang (2018), Proc. of the 31st International Workshop on Qualitative Reasoning (QR'18), Co-located at Int'l Joint Conference on Artificial Intelligence (IJCAI'18), Stockholm, Sweden.

• Ana-Maria Olteteanu, Zoe Falomir (eds.): Proc. of the 2nd Symposium on Problem-solving, Creativity and Spatial Reasoning in Cognitive Systems (ProSocrates 2017), Hanse-Wissenschaftkolleg (HWK), Institute of Advanced Study, Delmenhorst, Germany, July 20-12, CEUR-WS.org/Vol-1869, urn:nbn:de:0074-1869-2.

• Zoe Falomir, Juan Antonio Ortega (eds.): Proc. of the XVIII Workshop on Qualitative Systems and Applications in Diagnosis, Robotics and Ambient Intelligence (JARCA 2016), Almería, Spain, June 23-29, 2016, CEUR-WS.org/Vol-1812, urn:nbn:de:0074-1812-6.

• Thomas Barkowsky, Zoe Falomir Llansola, Holger Schultheis, Jasper van de Ven (eds.): Proceedings of the 13th Biannual Conference of the German Cognitive Science Society (KogWis'16).

  • urn:nbn:de:gbv:46-00105521-19

  • http://elib.suub.uni-bremen.de/peid=P00105521

Book Chapters

1. V. Casales-Garcia, Z. Falomir, L. Museros, I. Sanz, D. M. Llido, and L. Gonzalez-Abril. Analysing Food-porn Images for Users’ Engagement in the Food Business. A. Cortés et al. (eds). Frontiers in Artificial Intelligence and Applications, Artificial Intelligent Research and Development, vol. 356, pages 67-70, DOI:10.3233/FAIA220316, 2022. IOS Press, ISBN  978-1-64368-327-0.

2. Falomir Z., Costa V., On the rationality of explanations in classification algorithms, Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, vol. 339, pp. 445-454, 2021. ISSBN: 978-1-64368-211-2, DOI: 10.3233/FAIA210165, 2021.

3. Museros L., Sanz I., Falomir Z., Buenaño M. P., Gonzalez-Abril L. Extracting Feeling and Life-Style Semantics from Hotel Images Using Colour Harmony. In Sabater-Mir et al. (Eds.) Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, vol. 319, pp. 347 - 355, IOS Press, ISBN 978-1-64368-014-9. DOI 10.3233/FAIA190145, 2019.

4. Costa V., Dellunde P., Falomir Z., Style painting classifier based on Horn clauses and explanations (SHE). In Z. Falomir et al. (Eds.), Artificial Intelligence Research and Development,  Frontiers in Artificial Intelligence and Applications, vol. 308, pp. 37--46, IOS Press, ISBN 978-1-61499-918-8, DOI: 10.3233/978-1-61499-918-8-37, 2018.

5. Corcoba V., Falomir Z., Mohamed N., Using Wearable Sensors to Detect Workload on Driving Simulated Scenarios. In Z. Falomir et al. (Eds.), Artificial Intelligence Research and Development,  Frontiers in Artificial Intelligence and Applications, vol. 308, pp. 287--296, IOS Press, ISBN 978-1-61499-918-8, DOI: 10.3233/978-1-61499-918-8-287, 2018.

6. Freksa C., Barkowsky T., Dylla F., Falomir Z., Olteteanu A-M., van de Ven J., 2018, Spatial problem solving and cognition, in: Zacks J, Taylor H, eds, Representations in Mind and World, 156-183, New York: Routledge, Taylor and Francis. ISBN: 978-1-138-82970-1.

7. Falomir Z., Museros L., Sanz I., Luque A., Gonzalez-Abril, L., Comparing Qualitative Descriptors with Different Granularities and Reference Systems. In I. Aguiló et al. (Eds.), Recent Advances in Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, vol. 300, pp. 136-145, IOS Press, ISSN 0922-6389, ISBN 978-1-61499-805-1, DOI: 10.3233/978-1-61499-806-8-136, 2017.

8. Falomir Z., A Qualitative Image Descriptor QIDL+N to obtain Logics and Narratives Applied to Ambient Intelligent Systems. In A. Aztiria, J.C. Augusto and A. Orlandini, State of the Art on AI Applied to Ambient Intelligence, Frontiers in Artificial Intelligence and Applications, vol. 298, pp. 153-171, IOS Press, ISSN 0922-6389, ISBN 978-1-61499-803-7, DOI: 10.3233/978-1-61499-804-4-153, 2017.

9. Museros L., Sanz I., Falomir Z., Gonzalez-Abril L., A Qualitative Color Harmony Theory. In A. Nebot et al. (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, vol. 288, pp 98-107, IOS Press, ISBN 978-1-61499-695-8, DOI: 10.3233/978-1-61499-696-5-98, 2016.

10. Falomir Z., Museros L., Sanz I., Gonzalez-Abril L. Guessing Art Styles using Qualitative Colour Descriptors. In E. Armengol et al. (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, vol. 2077, IOS Press, ISBN 978-1-61499-578-4, ISSN 0922-6389, pp. 227-236. DOI: 10.3233/978-1-61499-578-4-227, 2015.

11. Olteteanu A.-M., Falomir Z., A Compound Remote Associate Test Solver based on Language Data. In L. Museros et al. (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press, Vol. 269,  pp. 249-252 , ISBN 978-1-61499-451-0, ISSN 0922-6389, DOI: 10.3233/978-1-61499-452-7-249, October 2014.

12. Museros L., Sanz I., Gonzalez-Abril L., Falomir Z. Validating and Customizing a Colour Naming Theory. In L. Museros et al. (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press, Vol. 269, pp. 169-179, ISBN 978-1-61499-451-0, ISSN 0922-6389, DOI: 10.3233/978-1-61499-452-7-169, October 2014.

13. Falomir Z., Towards Cognitive Image Interpretation – Qualitative Descriptors, Domain Knowledge and Narrative Generation. In K. Gibert, V. Botti and R. Reig-Bolaño (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press, Vol. 256, pp. 77-86, ISBN 978-1-61499-319-3, ISSN 0922-6389, DOI: 10.3233/978-1-61499-320-9-77, October 2013.

14. Museros L., Falomir Z., Sanz I., L. Gonzalez-Abril, An Approach for Sketch Retrieval based on Qualitative Shape Similarity Matching. In K. Gibert, V. Botti and R. Reig-Bolaño (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press, Vol. 256, pp. 259-262, ISBN 978-1-61499-319-3, ISSN 0922-6389, October 2013. DOI: 10.3233/978-1-61499-320-9-259.

15. Falomir Z., Museros L., Ródenas P., Sanz I., Towards Object Descriptions in Natural Language from Qualitative Models. In D. Riaño, E. Onaindia, M. Cazorla (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press, Vol. 248, pp. 59-68, ISBN 978-1-61499-138-0, ISSN 0922-6389, October 2012. DOI: 10.3233/978-1-61499-139-7-59.

16. Museros L., Sanz I., Falomir Z., A First Approximation to a Cognitive Icon Query By Example Search Engine. In Cèsar Fernández, Hector Geffner, Felip Manyà (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press, Vol. 232, pp. 159-168, ISBN 978-1-60750-841-0, ISSN 0922-6389, October 2011.  DOI: 10.3233/978-1-60750-842-7-159.

17. Falomir Z., Martí I., Viana W., Museros L., Escrig M. T., A Pragmatic Approach for Qualitative Shape and Qualitative Colour Similarity Matching. In René Alquézar, Antonio Moreno and Josep Aguilar (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press, Vol. 220, pp. 281-290, ISBN 978-1-60750-642-3, ISSN 0922-6389, October 2010.  DOI: 10.3233/978-1-60750-643-0-281.

18. Falomir Z., Almazán J., Grande J., Museros L., Escrig M. T., A Similarity Calculus for Comparing Qualitative Shape Descriptions. In Sandra Sandri, Miquel Sànchez-Marrè and Ulises Cortés (Eds): Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press, Vol. 202, pp. 318-326, ISBN 978-1-60750-061-2, ISSN 0922-6389, October 2009. DOI: 10.3233/978-1-60750-061-2-318.

19. Falomir Z., Escrig M. T., Peris J. C., Castelló V., Distance Sensor Data Integration and Prediction. In Cecilio Angulo and Lluís Godo (Eds.), Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press. Vol. 163, pp. 339-348, ISBN 978-1-58603-798-7, ISSN 0922-6389, October 2007.

20. Falomir Z., Peris J. C., Escrig M. T., Building a Local Hibrid Map from Sensor Data Fusion. In M. Polit, T. Talbert, B. López and J. Meléndez, Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press. Vol. 146, pp. 203-210, ISBN 1-58603-663-7, ISSN 0922-6389, Octubre 2006.

21. Falomir Z., Escrig M. T., Qualitative multi-sensor data fusion. In Jordi Vitrià, Petia Radeva, Isabel Aguiló, Recent Advances in Artificial Intelligence Research and Development, Frontiers in Artificial Intelligence and Applications, IOS Press. Vol. 113, pp. 259-266, ISBN 1-58603-466-9, ISSN 0922-6389, October 2004.

Last International Conferences

1. V. Casales-Garcia, L. Museros, Z. Falomir, I. Sanz, and L. González Abril (2022). Categorization of Food Images by Analysing the Harmony of their Qualitative Colour Palettes. 35th International Workshop on Qualitative Reasoning (QR 2022). Co-located at IJCAI/ECAI, Vienna, Austria.

2. Falomir Z., Improving Spatial Reasoning in Intelligent Systems: Challenges. Invited talk at 15th Int. Conf. on Modelling Decisions for Artificial Intelligence (MDAI 2018, CORE Rank C), Lecture Notes in Artificial Intelligence, Vol. 11144, p. XVIII-XXII, Palma de Mallorca, Spain, October 15 -1 8, 2018. ISSN:0302-9743, ISBN: 978-3-030-00201-5. DOI: 10.1007/978-3-030-00202-2.

3. Falomir Z. and Wattanakul N. From Qualitative Spatial Features of Motion towards Narratives for Video Description, 15th International Conference on Modelling Decisions for Artificial Intelligence MDAI 2018,  pp. 69 - 83, Palma de Mallorca, Spain, October 15 - 18, 2018. ISBN: 978-84-09-05005-5. Download Data.

4. Falomir Z. and Gonzalez-Abril L. (2017), A Fuzzy Colour Model Sensitive to the Context: Study cases using PRAGR and logics. In V. Torra et al. (Eds): Proc. Int. Conf. on Modelling Decisions for AI (MDAI), Lecture Notes on Artificial Intelligence (LNAI), vol. 10571, pp. 207-219, DOI: 10.1007/978-3-319-67422-3_18, ISSN 0302-9743, ISBN 978-3-319-67421-6, Springer, Kitakyushu, Japan. Ranking CORE Rank C

5. Falomir Z., Angulo C.,  A Qualitative Spatial Descriptor of Group-Robot Interactions. In Eliseo Clementini, Maureen Donnelly, May Yuan, Christian Kray, Paolo Fogliaroni, and Andrea Ballatore, editors, 13th Interna tional Conference on Spatial Information Theory (COSIT 2017), volume 86 of Leibniz International Proceedings in Informatics (LIPIcs), pages 3:1–3:14, Dagstuhl, Germany, 2017. Schloss Dagstuhl–Leibniz-Zentrum fuer Informatik.  ISSN: 1868-8969, ISBN: 978-3-95977-043-9, doi: 10.4230/LIPIcs.COSIT.2017.3 Download. Ranking GII-GRIN-SCIE (GGS), class 2, A-.

6. Falomir Z., A Qualitative Image Descriptor QIDL+ Applied to Ambient Intelligent Systems. In Proc. 12th International Conference on Intelligent Environments, London, UK, pp. 9-15, IEEE Computer Society, ISBN 978-1-5090-4056-8/16, DOI 10.1109/IE.2016.11, 2016.

7. Falomir Z. and Oliver E. Q3D-Game: A Tool for Training Users’ 3D Spatial Skills. In P. Novais and S. Konomi (Eds.), Ambient Intelligence and Smart Environments (AISE) book series, Vol. 21, Intelligent Environments 2016, 2nd Int’l Symposium on Future Intelligent Educational Environments and Learning (SOFIEE'16), pp. 187-196, doi:10.3233/978-1-61499-690-3-187, IOS Press, ISSN 1875-4163, ISBN 978-1-61499-689-7. http://ebooks.iospress.nl/volumearticle/45174

8. Falomir Z. and Oliver E., Towards Improving Users’ 3D Spatial Skills using a Qualitative 3D Descriptor and a Computer Game, In. Proc 13th Biannual Conference of the German Society for Cognitive Science (KogWis) 26 - 30 September 2016, Bremen, Germany.

9. Freksa C., Olteteanu A-M., Ali A.L., Barkowsky T., van de Ven J., Dylla F., Falomir Z., Towards Spatial Reasoning with Strings and Pins, 4th Annual Conference on Advances in Cognitive Systems, June 23-26, Evanston, Illinois, 2016.

10. Ali A.L., Schmid F., Falomir Z., Freksa C., Towards Guided Classification for Volunteered Geographic Information, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., Vol. II-3/W5, pp. 211-217, DOI: 10.5194/isprsannals-II-3-W5-211-2015, 2015.

11. Falomir, Z., A qualitative model for reasoning about 3D objects using depth and different perspectives. In T. Lechowski, P. Wałęga, M. Zawidzki, ed.: , 1st Workshop on Logics for Qualitative Modelling and Reasoning (LQMR). Federated Conference on Computer Science and Information Systems (FedCSIS), Volume 7 of Annals of Computer Science and Information Systems., Published by PTI (2015), pp. 3–11, ISBN 978-83-60810-78-1, DOI: 10.15439/2015F370.

12. Falomir Z. and Rahman S. From Qualitative Descriptors of Movement towards Spatial Logics for Videos. In G. Azzopardi et al. (Eds.) Proceedings of the 3rd Workshop onRecognition and Action for Scene Understanding (REACTS), co-located at 16th International Conference of Computer Analysis of Images and Patterns (CAIP), ISBN 978-84-606-9592-9, pp. 119-128, Malta, September 2015.

13. Falomir Z., A Qualitative Model for Describing 3D Objects using Depth. In Spatio Temporal Dynamics (STeDy) Workshop at International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, July 2015.

14. Falomir Z., Museros L., Gonzalez-Abril L., Towards a Similarity between Qualitative Image Descriptions for Comparing Real Scenes. In: Qualitative Representations for Robots, AAAI Spring Symposium Series, pp. 42-49, ISBN 978-1-57735-646-2, Stanford University, Palo Alto, California, USA, 24-26 March 2014.

15. Falomir Z., An Approach for Scene Interpretation using Qualitative Descriptors, Semantics and Domain Knowledge. In: Knowledge Representation and Reasoning in Robotics, AAAI Spring Symposium Series, pp. 95-98, ISBN 978-1-57735-645-5, Stanford University, Palo Alto, California, USA, 24-26 March 2014.

16. Falomir Z., Towards Scene Understanding using Contextual Knowledge and Spatial Logics. In 2nd International Workshop on Recognition and Action for Scene Understanding, (REACTS’2013), York, United Kingdom, ISBN 978-84-616-7092-5, pp. 85-100, 30th August 2013.

17. Falomir Z., Museros L., Gonzalez-Abril L., Wolter D., and Freksa C. Towards Cognitive Image Interpretation by Mixing Qualitative Image Descriptions and Feature Object Detectors. In 27th International Workshop on Qualitative Reasoning (QR’13), pp. 47-54, Etelsen, Germany, 27-30 August 2013.

18. Museros L., Falomir Z., Sanz I., Gonzalez-Abril L., Traffic Sign Recognition with Qualitative Theories. In 27th International Workshop on Qualitative Reasoning (QR’13), pp. 55-62, Etelsen, Germany, 27-30 August 2013.

19. Falomir Z., Museros L., Ortega J. A., Velasco F. A Model for Qualitative Colour Description and Comparison. 25th International Workshop on Qualitative Reasoning (QR), co-located at the 22nd Joint International Conference on Artificial Intelligence (IJCAI), pp. 17-25, Barcelona, Spain, 16-18 July 2011.

20. Museros L., Falomir Z., Gonzalez-Abril L., Velasco F. A Qualitative Shape Description Scheme for Generating New Manufactured Shapes. 25th International Workshop on Qualitative Reasoning (QR), co-located at the 22nd Joint International Conference on Artificial Intelligence (IJCAI), pp. 116-124, Barcelona, Spain, 16-18 July 2011.