Æȷοì
Alejandro Ramos Soto
Alejandro Ramos Soto
CSO @ InVerbis Analytics SL
inverbisanalytics.comÀÇ À̸ÞÀÏ È®ÀεÊ
Á¦¸ñ
Àοë
Àοë
¿¬µµ
Linguistic descriptions for automatic generation of textual short-term weather forecasts on real prediction data
A Ramos-Soto, AJ Bugarin, S Barro, J Taboada
IEEE Transactions on Fuzzy Systems 23 (1), 44-57, 2014
1262014
On the role of linguistic descriptions of data in the building of natural language generation systems
A Ramos-Soto, A Bugarín, S Barro
Fuzzy Sets and Systems 285, 31-51, 2016
1032016
Adapting simplenlg to spanish
A Ramos-Soto, J Janeiro-Gallardo, AB Diz
Proceedings of the 10th international conference on natural language ¡¦, 2017
442017
An exploratory study on the benefits of using natural language for explaining fuzzy rule-based systems
JM Alonso, A Ramos-Soto, E Reiter, K van Deemter
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
312017
Towards textual reporting in learning analytics dashboards
A Ramos-Soto, M Lama, B Vázquez-Barreiros, A Bugarín, M Mucientes, ...
2015 IEEE 15th international conference on advanced learning technologies ¡¦, 2015
312015
Enriching linguistic descriptions of data: A framework for composite protoforms
A Ramos-Soto, P Martin-Rodilla
Fuzzy Sets and Systems 407, 1-26, 2021
262021
Evaluation of a Data‐To‐Text System for Verbalizing a Learning Analytics Dashboard
A Ramos‐Soto, B Vazquez‐Barreiros, A Bugarín, A Gewerc, S Barro
International Journal of Intelligent Systems 32 (2), 177-193, 2017
262017
Adapting simplenlg to galician language
A Cascallar-Fuentes, A Ramos-Soto, AB Diz
Proceedings of the 11th international conference on natural language ¡¦, 2018
252018
Explainable AI beer style classifier
JM Alonso, A Ramos-Soto, C Castiello, C Mencar
CEUR WORKSHOP PROCEEDINGS 2151, 2018
252018
Fuzzy sets across the natural language generation pipeline
A Ramos-Soto, A Bugarín, S Barro
Progress in artificial intelligence 5, 261-276, 2016
232016
On the role of fuzzy quantified statements in linguistic summarization of data
F Diaz-Hermida, A Ramos-Soto, A Bugarin
Intelligent Systems Design and Applications (ISDA), 2011 11th International ¡¦, 2011
212011
Characterizing quantifier Fuzzification mechanisms: a behavioral guide for applications
F Díaz-Hermida, M Pereira-Farina, JC Vidal, A Ramos-Soto
Fuzzy Sets and Systems 345, 1-23, 2018
162018
Automatic linguistic descriptions of meteorological data a soft computing approach for converting open data to open information
A Ramos-Soto, A Bugarín, S Barro, F Díaz-Hermida
2013 8th Iberian Conference on Information Systems and Technologies (CISTI), 1-6, 2013
152013
On the role of fuzzy quantified statements in linguistic summarization
F D©¥az-Hermida, A Ramos-Soto, A Bugar©¥n
Proceedings of 11th International Conference on. Intelligent Systems Design ¡¦, 2011
152011
Automatic generation of textual short-term weather forecasts on real prediction data
A Ramos-Soto, A Bugarín, S Barro, J Taboada
International Conference on Flexible Query Answering Systems, 269-280, 2013
142013
Natural language generation and fuzzy sets: An exploratory study on geographical referring expression generation
A Ramos-Soto, N Tintarev, R De Oliveira, E Reiter, K Van Deemter
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 587-594, 2016
102016
Automatic generation of air quality index textual forecasts using a data-to-text approach
A Ramos-Soto, A Bugarín, S Barro, N Gallego, C Rodríguez, I Fraga, ...
Advances in Artificial Intelligence: 16th Conference of the Spanish ¡¦, 2015
92015
An empirical approach for modeling fuzzy geographical descriptors
A Ramos-Soto, JM Alonso, E Reiter, K van Deemter, A Gatt
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017
82017
An experimental study on the behaviour of fuzzy quantification models
A Cascallar-Fuentes, A Ramos-Soto, A Bugarín-Diz
ECAI 2020, 267-274, 2020
72020
A model based on computational perceptions for the generation of linguistic descriptions of data
A Ramos-Soto, M Pereira-Fariña, A Bugarín, S Barro
2015 IEEE international conference on Fuzzy systems (FUZZ-IEEE), 1-8, 2015
72015
ÇöÀç ½Ã½ºÅÛÀÌ ÀÛµ¿µÇÁö ¾Ê½À´Ï´Ù. ³ªÁß¿¡ ´Ù½Ã ½ÃµµÇØ ÁÖ¼¼¿ä.
ÇмúÀÚ·á 1–20