Papers

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2024

• Eliseo Bao, Anxo Pérez, Javier Parapar. Explainable depression symptom detection in social media. Health Information Science and Systems, vol. 12(1), p. 47, 2024. DOI 10.1007/S13755-024-00303-9.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. Overview of eRisk 2024: Early Risk Prediction on the Internet. In Proceedings of the 15th International Conference of the CLEF Association, Grenoble, France, 2024, Lecture Notes in Computer Science, vol. 14959, pp. 73-92, 2024. DOI 10.1007/978-3-031-71908-0_4.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview). Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2024, Grenoble, France, CEUR Workshop Proceedings, vol. 3740, pp. 759-781, 2024.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. Advances in Information Retrieval, 46th European Conference on Information Retrieval (ECIR 2024), Glasgow, UK, Lecture Notes in Computer Science, vol. 14612, pp. 474-481, 2024. DOI 10.1007/978-3-031-56069-9_65.
• Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar. MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. Proceedings of the 18th International AAAI Conference on Web and Social Media (ICWSM 2024), Buffalo, New York, USA, June 3-6, 2024, pp. 2025-2039, 2024. DOI 10.1609/ICWSM.V18I1.31445.
• Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar. MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection. CoRR, vol. abs/2401.06526, 2024. DOI 10.48550/ARXIV.2401.06526.
• Jorge Gabín, M. Eduardo Ares, Javier Parapar. Enhancing Automatic Keyphrase Labelling with Text-to-Text Transfer Transformer (T5) Architecture: A Framework for Keyphrase Generation and Filtering. CoRR, vol. abs/2409.16760, 2024. DOI 10.48550/ARXIV.2409.16760.

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2023

• David Otero, Javier Parapar, Nicola Ferro. How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, pp. 1960-1970, 2023. DOI 10.1145/3583780.3614916.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. Overview of eRisk 2023: Early Risk Prediction on the Internet. Proceedings of the 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18-21, 2023, Lecture Notes in Computer Science, vol. 14163, pp. 294-315, 2023. DOI 10.1007/978-3-031-42448-9_22.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview). Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), Thessaloniki, Greece, September 18-21, 2023, CEUR Workshop Proceedings, vol. 3497, pp. 611-638, 2023.
• Anxo Pérez, Paloma Piot-Perez-Abadin, Javier Parapar, Álvaro Barreiro. PsyProf: A Platform for Assisted Screening of Depression in Social Media. Proceedings of the 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Lecture Notes in Computer Science, vol. 13982, pp. 300-306, 2023. DOI 10.1007/978-3-031-28241-6_30.
• Jorge Gabín, M. Eduardo Ares, Javier Parapar. Keyword Embeddings for Query Suggestion. Proceedings of the 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Lecture Notes in Computer Science, vol. 13980, pp. 346-360, 2023. DOI 10.1007/978-3-031-28244-7_22.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges. Proceedings of the 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, Lecture Notes in Computer Science, vol. 13982, pp. 585-592, 2023. DOI 10.1007/978-3-031-28241-6_67.
• Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych. Semantic Similarity Models for Depression Severity Estimation. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, pp. 16104-16118, 2023. DOI 10.18653/v1/2023.emnlp-main.1000.
• Anxo Pérez, Javier Parapar, Álvaro Barreiro, Silvia Lopez-Larrosa. BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, pp. 2996-3006, 2023. DOI 10.1145/3539618.3591905.
• Jorge Gabín, M. Eduardo Ares, Javier Parapar. Keyword Embeddings for Query Suggestion. CoRR, vol. abs/2301.08006, 2023. DOI 10.48550/arXiv.2301.08006.
• David Otero, Javier Parapar, Nicola Ferro. How Discriminative Are Your Qrels? How To Study the Statistical Significance of Document Adjudication Methods. CoRR, vol. abs/2308.09340, 2023. DOI 10.48550/arXiv.2308.09340.
• Sara López-Larrosa, Verónica Sánchez-Souto, David E. Losada, Javier Parapar, Álvaro Barreiro, Adolfo P. Ha, E. Mark Cummings. Using machine learning techniques to predict adolescents’ involvement in family conflict. Social Science Computer Review, vol. 41(5), pp. 1581-1607, 2023. DOI 10.1177/08944393231111111.

2022

• Anxo Pérez, Javier Parapar, Álvaro Barreiro. Automatic depression score estimation with word embedding models. Artificial Intelligence in Medicine, vol. 132, 2022. DOI 10.1016/j.artmed.2022.102380.
• David Otero, Patricia Martín-Rodilla, Javier Parapar. Building Cultural Heritage Reference Collections from Social Media through Pooling Strategies: The Case of 2020's Tensions Over Race and Heritage. ACM Journal on Computing and Cultural Heritage, vol. 15(1), 2022. DOI 10.1145/3477604.
• Manuel Couto, Anxo Pérez, Javier Parapar. TemporalWord Embeddings for Early Detection of Signs of Depression. Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), CEUR Workshop Proceedings, vol. 3178, 2022.
• Jorge Gabín, M. Eduardo Ares, Javier Parapar. Exploring Models for Automatic Keyword Labelling of Scientific Documents. Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022), CEUR Workshop Proceedings, vol. 3178, 2022.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. Overview of eRisk 2022: Early Risk Prediction on the Internet. Proceedings of the 13th International Conference of the CLEF Association, Lecture Notes in Computer Science, vol. 13390, pp. 233-256, 2022. DOI 10.1007/978-3-031-13643-6_18.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview). Proceedings of the Working Notes of CLEF 2022, CEUR Workshop Proceedings, vol. 3180, pp. 821-850, 2022.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges. Proceedings of the 44th European Conference on Information Retrieval (ECIR 2022), Lecture Notes in Computer Science, vol. 13186, pp. 436-442, 2022. DOI 10.1007/978-3-030-99739-7_54.
• Anxo Pérez, Neha Warikoo, Kexin Wang, Javier Parapar, Iryna Gurevych. Semantic Similarity Models for Depression Severity Estimation. CoRR, abs/2211.07624, 2022. DOI 10.48550/arXiv.2211.07624.

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2021

• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. Overview of eRisk 2021: Early Risk Prediction on the Internet. CLEF 2021, Lecture Notes in Computer Science, vol. 12880, pp. 324-344, 2021. DOI 10.1007/978-3-030-85251-1_22.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview). CLEF 2021, CEUR Workshop Proceedings, vol. 2936, pp. 864-887, 2021.
• Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani. eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges. ECIR 2021, Lecture Notes in Computer Science, vol. 12657, pp. 650-656, 2021. DOI 10.1007/978-3-030-72240-1_76.
• Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar. Experimental Analysis of the Relevance of Features and Effects on Gender Classification Models for Social Media Author Profiling. ENASE 2021, pp. 103-113, 2021. DOI 10.5220/0010431901030113.
• Paloma Piot-Perez-Abadin, Patricia Martín-Rodilla, Javier Parapar. Gender Classification Models and Feature Impact for Social Media Author Profiling. ENASE 2021, Communications in Computer and Information Science, vol. 1556, pp. 265-287, 2021. DOI 10.1007/978-3-030-96648-5_12.
• Javier Parapar, Filip Radlinski. Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. RecSys 2021, pp. 75-84, 2021. DOI 10.1145/3460231.3474234.
• Javier Parapar, David E. Losada, Álvaro Barreiro. Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation. SAC 2021, pp. 655-664, 2021. DOI 10.1145/3412841.3441945.
• David Otero, Javier Parapar, Álvaro Barreiro. The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems. SAC 2021, pp. 672-680, 2021. DOI 10.1145/3412841.3441947.
• Javier Parapar, Filip Radlinski. Diverse User Preference Elicitation with Multi-Armed Bandits. WSDM 2021, pp. 130-138, 2021. DOI 10.1145/3437963.3441786.

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2020

• Javier Parapar, Filip Radlinski. Diverse User Preference Elicitation with Multi-Armed Bandits. Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Virtual Event, Israel, March 8-12, 2021, pp. 130-138. ACM. DOI 10.1145/3437963.3441786.
• Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells. Assessing ranking metrics in top-N recommendation. Information Retrieval Journal, vol. 23(4), pp. 411-448, 2020. DOI 10.1007/s10791-020-09377-x.
• Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Álvaro Barreiro. Using score distributions to compare statistical significance tests for information retrieval evaluation. JASIST, vol. 71(1), pp. 98-113, 2020. DOI 10.1002/asi.24203.
• Paula López-Otero, Javier Parapar, Álvaro Barreiro. Statistical language models for query-by-example spoken document retrieval. Multimedia Tools and Applications, vol. 79(11-12), pp. 7927-7949, 2020. DOI 10.1007/s11042-019-08522-z.
• David Otero, Javier Parapar, Álvaro Barreiro. Beaver: Efficiently Building Test Collections for Novel Tasks. Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), Samatan, France, July 6-9, 2020, CEUR Workshop Proceedings, vol. 2621, 2020.
• David E. Losada, Fabio Crestani, Javier Parapar. Overview of eRisk 2020: Early Risk Prediction on the Internet. Proceedings of the 11th International Conference of the CLEF Association, Thessaloniki, Greece, September 22-25, 2020. Lecture Notes in Computer Science, vol. 12260, pp. 272-287. Springer. DOI 10.1007/978-3-030-58219-7_20.
• Alfonso Landin, Javier Parapar, Álvaro Barreiro. Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings. Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), Lisbon, Portugal, April 14-17, 2020, Lecture Notes in Computer Science, vol. 12036, pp. 215-222. Springer. DOI 10.1007/978-3-030-45442-5_27.
• Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Shallow Neural Models for Top-N Recommendation. Proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, August 29 - September 8, 2020, pp. 2911-2912. IOS Press. DOI 10.3233/FAIA200449.
• David E. Losada, Fabio Crestani, Javier Parapar. eRisk 2020: Self-harm and Depression Challenges. Proceedings of the 42nd European Conference on Information Retrieval (ECIR 2020), Lisbon, Portugal, April 14-17, 2020, Lecture Notes in Computer Science, vol. 12036, pp. 557-563. Springer. DOI 10.1007/978-3-030-45442-5_72.

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2019

• David E. Losada, Javier Parapar, Álvaro Barreiro. When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections. JASIST, vol. 70(1), pp. 49-60, 2019. DOI 10.1002/asi.24077.
• Javier Parapar, David E. Losada, Manuel A. Presedo-Quindimil, Álvaro Barreiro. Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation. JASIST, pp. 49-60, 2019. DOI 10.1002/asi.24203.
• Alfonso Landin, Daniel Valcarce, Javier Parapar, Álvaro Barreiro. PRIN: A Probabilistic Recommender with Item Priors and Neural Models. Proceedings of the 41st European Conference on Information Retrieval, ECIR 2019, Cologne, Germany, 14 - 18 April, 2019, Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 11437, pp. 133-147, 2019. The original publication is available at SpringerLink.
• Alfonso Landin. Learning User and Item Representations for Recommender Systems. Proceedings of the 41st European Conference on Information Retrieval, ECIR 2019, Cologne, Germany, 14 - 18 April, 2019, Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 11438, pp. 337-342, 2019. The original publication is available at SpringerLink.
• David E. Losada, Fabio Crestani, Javier Parapar. Early detection of risks on the Internet: an exploratory campaign.. Proceedings of the 41st European Conference on Information Retrieval, ECIR 2019, Cologne, Germany, 14 - 18 April, 2019, Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 11438, pp. 259-266, 2019. The original publication is available at SpringerLink.
• Paula López-Otero, Javier Parapar, Álvaro Barreiro. Efficient query-by-example spoken document retrieval combining phone multigram representation and dynamic time warping. Information Processing & Management, vol. 56(1), pp. 43-60, 2019. DOI 10.1016/j.ipm.2018.09.002.

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2018

• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Document-based and Term-based Linear Methods for Pseudo-Relevance Feedback. Applied Computing Review, vol. 18(4), pp. 5-17, 2018.
• Paula López-Otero, Laura Docio-Fernandez. GTM-IRLab Systems for Albayzin 2018 Search on Speech Evaluation. Proceedings of IberSPEECH 2018, pp. 240-244, Barcelona, Spain, 21 - 23 November, 2018. DOI 10.21437/IberSPEECH.2018-50.
• Paula López-Otero, Laura Docio-Fernandez. Converted Mel-Cepstral Coefficients for Gender Variability Reduction in Query-by-Example Spoken Document Retrieval. Proceedings of IberSPEECH 2018, pp. 240-244, Barcelona, Spain, 21 - 23 November, 2018. DOI 10.21437/IberSPEECH.2018-18.
• Daniel Valcarce, Igo Brilhante, Jose Antonio Macedo, Franco Maria Nardini, Raffaele Perego, Chiara Renso. Item-driven group formation. Online Social Networks and Media, vol. 8, pp. 17-31, 2018. DOI 10.1016/j.osnem.2018.10.002.
• Daniel Valcarce, Alejandro Bellogín, Javier Parapar, Pablo Castells. On the Robustness and Discriminative Power of IR Metrics for Top-N Recommendation. Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, pp. 260-268, Vancouver, Canada, 2 - 7 October, 2018. DOI 10.1145/3240323.3240347.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Finding and Analysing Good Neighbourhoods to Improve Collaborative Filtering. Knowledge-Based Systems, vol. 159, pp. 193-202, 2018. DOI 10.1016/j.knosys.2018.06.030.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A MapReduce implementation of posterior probability clustering and relevance models for recommendation. Engineering Applications of Artificial Intelligence, vol. 75, pp. 114-124, 2018. DOI 10.1016/j.engappai.2018.08.006.
• Paula López-Otero, Laura Docio-Fernandez, Antonio Cardenal-López. Using Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classification. Proceedings 2018, vol. 2(8), 1183. DOI 10.3390/proceedings2181183.
• Alfonso Landin, Eva Suárez-García, Daniel Valcarce. When Diversity Met Accuracy: A Story of Recommender Systems. Proceedings 2018, vol. 2(8), 1178. DOI 10.3390/proceedings2181178.
• Eva Suárez-García, Alfonso Landin, Daniel Valcarce, Álvaro Barreiro. Term Association Measures for Memory-based Recommender Systems. Proceedings of the 5th Spanish Conference on Information Retrieval, CERI 2018, Article 6, Zaragoza, Spain, 25 - 27 June, 2018. DOI 10.1145/3230599.3230606.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Query Expansion as a Matrix Factorization Problem: Extended Abstract. Proceedings of the 5th Spanish Conference on Information Retrieval, CERI 2018, Article 6, Zaragoza, Spain, 25 - 27 June, 2018. DOI 10.1145/3230599.3230603.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. LiMe: Linear Methods for Pseudo-Relevance Feedback. Proceedings of the 33st Annual ACM Symposium on Applied Computing, SAC 2018, pp. 678-687, Pau, France, 9 - 13 April, 2018. DOI 10.1145/3167132.3167207.
• Javier Tejedor, Doroteo T. Toledano, Paula López-Otero, Laura Docio-Fernandez, Jorge Proença, Fernando Perdigão, Fernando García-Granada, Emilio Sanchis, Anna Pompili, Alberto Abad. ALBAYZIN Query-by-example Spoken Term Detection 2016 evaluation. EURASIP Journal on Audio, Speech, and Music Processing, 2018, no. 2, pp. 1-25, 2018. DOI 10.1186/s13636-018-0125-9.
• David E. Losada, Javier Parapar, Álvaro Barreiro. A Rank Fusion Approach based on Score Distributions for Prioritizing Relevance Assessments in Information Retrieval Evaluation. Information Fusion, 39, pp. 56-71, 2018. DOI 10.1016/j.inffus.2017.04.001.

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2017

• Javier Tejedor, Doroteo T. Toledano, Paula López-Otero, Laura Docio-Fernandez, Luis Serrano, Inma Hernaez, Alejandro Coucheiro-Limeres, Javier Ferreiros, Julia Olcoz, Jorge Llombart. ALBAYZIN 2016 spoken term detection evaluation: an international open competitive evaluation in Spanish. EURASIP Journal on Audio, Speech, and Music Processing, 2017, no. 22, 1-23, 2017. DOI 10.1186/s13636-017-0119-z.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Axiomatic Analysis of Language Modelling of Recommender Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 25, no suppl. 2, pp. 113-128, 2017. DOI 10.1142/S0218488517400141.
• David E. Losada, Javier Parapar. Psychological Features for Automatic Text Summarization. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 25, no suppl. 2, pp. 129-150, 2017. DOI 10.1142/S0218488517400153.
• David E. Losada, Fabio Crestani, Javier Parapar. CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations. Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, 11 - 14 September, 2017.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Combining Top-N Recommenders with Metasearch Algorithms. Proceedings of the 40th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2017, pp. 805-808, Shinjuku, Tokyo, Japan, 7 - 11 August, 2017. DOI 10.1145/3077136.3080647.
• David E. Losada, Javier Parapar, Álvaro Barreiro. Multi-Armed Bandits for Adjudicating Documents in Pooling-Based Evaluation of Information Retrieval Systems. Information Processing and Management, 53(3), 1005-1025, 2017. DOI 10.1016/j.ipm.2017.04.005.

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2016

• David E. Losada, Javier Parapar. Injecting Multiple Psychological Features into Standard Text Summarisers. Proceedings of the 4th Spanish Conference on Information Retrieval, CERI'16, Article 3, Granada, Spain, June 14-16, 2016. The original publication is available at ACM Portal.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Additive Smoothing for Relevance-Based Language Modelling of Recommender Systems. Proceedings of the 4th Spanish Conference on Information Retrieval, CERI'16, Article 9, Granada, Spain, June 14-16, 2016. The original publication is available at ACM Portal. Best Student Paper
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Computing Neighbourhoods with Language Models in a Collaborative Filtering Scenario. Proceedings of the 7th Italian Information Retrieval Workshop, IIR'16, Venice, Italy, May 30-31, 2016. The original publication is available at CEUR-WS.
• David E. Losada, Javier Parapar, Álvaro Barreiro. Feeling Lucky? Multi-armed Bandits for Ordering Judgements in Pooling-based Evaluation. Proceedings of the 31st ACM Symposium on Applied Computing, SAC 2016, pp. 1027-1034, Pisa, 4 - 8 April, 2016. The original publication is available at ACM Portal.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Item-Based Relevance Modelling of Recommendations for Getting Rid of Long Tail Products. Knowledge-Based Systems, vol. 103, pp. 41-51, 2016. DOI 10.1016/j.knosys.2016.03.021.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Efficient Pseudo-Relevance Feedback Methods for Collaborative Filtering Recommendation. Proceedings of the 38th European Conference on Information Retrieval, ECIR 2016, Padua, Italy, 20 - 23 March, 2016, Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 9626, pp. 602-613, 2016. The original publication is available at SpringerLink.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. Language Models for Collaborative Filtering Neighbourhoods. Proceedings of the 38th European Conference on Information Retrieval, ECIR 2016, Padua, Italy, 20 - 23 March, 2016, Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 9626, pp. 614-625, 2016. The original publication is available at SpringerLink.

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2015

• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A Distributed Recommendation Platform for Big Data. Journal of Universal Computer Science 21(13), pp. 1810-1829, 2015. DOI 10.3217/jucs-021-13-1810.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A Study of Priors for Relevance-Based Language Modelling of Recommender Systems . Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, pp. 237-240, Vienna, Austria, 16 - 20 September, 2015. DOI 10.1145/2792838.2799677.
• Daniel Valcarce. Exploring Statistical Language Models for Recommender Systems. Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, pp. 375-378, Vienna, Austria, 16 - 20 September, 2015. DOI 10.1145/2792838.2796547.
• Jose M. Chenlo, Javier Parapar, David E. Losada, José Santos. Finding a Needle in the Blogosphere: An Information Fusion Approach for Blog Distillation Search. Information Fusion, vol. 23, pp. 58-68 2015. ISSN: 1566-2535.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. A Study of Smoothing Methods for Relevance-Based Language Modelling of Recommender Systems. Proceedings of the 37th European Conference on Information Retrieval, ECIR 2015, Vienna, Austria, 29 March - 2 April, 2015, Advances in Information Retrieval, Lecture Notes in Computer Science, vol. 9022, pp. 346-351, 2015. The original publication is available at SpringerLink.
• M. Teresa Iglesias, Manuel A. Presedo-Quindimil. Correlación Epistática: un estudio de simulación. XXXV Congreso Nacional de Estadística e Investigación Operativa, SEIO2015, Pamplona, Spain, 26 - 29 May, 2015.

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2014

• Javier Parapar, Manuel A. Presedo-Quindimil, Álvaro Barreiro. Score Distributions for Pseudo Relevance Feedback (manuscript). Information Sciences 273, pp. 171-181, 2014. ISSN 0020-0255.
• Javier Parapar, David E. Losada, Álvaro Barreiro. Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms. Journal of Universal Computer Science 20(2), pp. 213-239, 2014. ISSN 0948-695X.
• Daniel Valcarce, Javier Parapar, Álvaro Barreiro. When Recommenders Met Big Data: an Architectural Proposal and Evaluation. Proceedings of the 3rd Spanish Conference on Information Retrieval, CERI'14, pp. 73-84, A Coruña, Spain, June 19-20, 2014. ISBN 978-84-9749-591-2.

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2013

• Javier Parapar, Alejandro Bellogín, Pablo Castells, Álvaro Barreiro. Relevance-Based Language Modelling for Recommender Systems. Information Processing and Management, vol. 49, issue 4, pp. 966-980, 2013. ISSN 0306-4573.
• Alejandro Bellogín, Javier Parapar, Pablo Castells. Probabilistic Collaborative Filtering with Negative Cross Entropy. Proceedings of the 7th ACM Conference on Recommender Systems, pp. 387-390, ACM RecSys 2013, Hong Kong, October 2013 ISBN: 978-1-4503-2409-0. The original publication is available at ACM Portal.
• José M. G. Chenlo, Javier Parapar, David E. Losada. Comments-Oriented Query Expansion for Opinion Retrieval in Blogs. Proceedings of the 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, Spain, September 2013. Lecture Notes in Computer Science vol. 8109, pp. 32-41. ISBN 978-3-642-40642-3. The original publication is available at SpringerLink.

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2012

• Javier Parapar, Álvaro Barreiro. Language Modelling of Constraints for Text Clustering. Proceedings of the 34th European Conference on Information Retrieval Research ECIR 2012, Barcelona, Spain, April 2012, Lecture Notes in Computer Science vol. 7224, pp. 352-363, 2012. The original publication is available at SpringerLink.
• Alejandro Bellogín, Javier Parapar. Using Graph Partitioning Techniques for Neighbour Selection in User-Based Collaborative Filtering. Proceedings of the 6th ACM Conference on Recommender Systems, pp. 213-216, ACM RecSys 2012, Dublin, Ireland, September 2012. The original publication is available at ACM Portal. Best Short Paper
• Javier Parapar, David E. Losada, Álvaro Barreiro. A learning-based approach for the identification of sexual predators in chat logs . CLEF 2012 Evaluation Labs and Workshop Online Working Notes. PAN 2012, Rome, Italy, September 2012. ISBN 978-88-904810-3-1, ISSN 2038-4963.
• M. Eduardo Ares, Javier Parapar, Álvaro Barreiro. An Experimental Study of Constrained Clustering Effectiveness in Presence of Erroneous Constraints. Information Processing and Management 48(3) pp. 537-551, 2012.
• Ismael Hasan, Javier Parapar, Álvaro Barreiro. Improving the Extraction of Text in PDFs by Simulating the Human Reading Order. Journal of Universal Computer Science, 18(5), pp.623-649 2012.
• Javier Parapar, María M. Vidal, José Santos. Finding the Best Parameter Setting: Particle Swarm Optimisation. Proceedings of the 2nd Spanish Conference on Information Retrieval, CERI'12, pp. 49-60, Valencia, Spain, June 17-19, 2012.
• M. Eduardo Ares, Álvaro Barreiro. Constrained Text Clustering with Word Trigrams. Proceedings of the 2nd Spanish Conference on Information Retrieval, CERI'12, pp. 13-24, Valencia, Spain, June 17-19, 2012.
• Javier Parapar, Álvaro Barreiro. Análisis de herramientas para la docencia práctica en Recuperación de Información. 9th International Forum on the Quality Assessment of Higher Education and Research (FECIES 2012), pp. 833-839, 2012.

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2011

• Roi Blanco, Christina Lioma. Graph-based term weighting for information retrieval. Information Retrieval, 2011. The original publication is available at SpringerLink.
• Javier Parapar, Álvaro Barreiro. A Cluster Based Pseudo Feedback Technique which Exploits Good and Bad Clusters. Proc. of the 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, 7-11 November 2011, Tenerife, Spain. Lecture Notes in Artifical Intelligence 7023, pp. 403-412, 2011. The original publication is available at SpringerLink.
• Javier Parapar, Álvaro Barreiro. Promoting Divergent Terms in the Estimation of Relevance Models. Proceedings of the Third International Conference on the Theory of Information Retrieval, ICTIR 2011, 12-14 September 2011, Bertinoro, Italy. Lecture Notes in Computer Science vol. 6931, pp. 77-88, 2011. The original publication is available at SpringerLink.
• M. Eduardo Ares, Javier Parapar, Álvaro Barreiro. Improving text clustering with social tagging. Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media ICWSM 2011, 17-21 July, Barcelona. The original publication is available at AAAI.
• Renato de Freitas Bulcão-Neto, José Antonio Camacho-Guerrero, Márcio Dutra, Álvaro Barreiro, Javier Parapar, Alessandra Alaniz Macedo. The use of latent semantic indexing to mitigate OCR effects of related document images. Journal of Universal Computer Science, vol. 17, no. 1, pp. 64-80, 2011.
• M. Eduardo Ares, Javier Parapar, Álvaro Barreiro. Agrupamiento documental, en F. Cacheda Seijo, J.M. Fernández.Luna y J. Huete (eds.). Recuperación de Información: un enfoque práctico y multidisciplinar. Capítulo 12, pp. 393-418, RA-MA, RA-MA, Septiembre 2011.

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2010

• Roi Blanco, Álvaro Barreiro. Probabilistic static pruning of inverted files. ACM Transactions on Information Systems, vol 28(1), 1-33, 2010.
• Javier Parapar, Jorge-López-Castro, Álvaro Barreiro. Blog Snippets: A Comments-Biased Approach. Proceedings of the 33rd ACM International Conference on Research and Development in Information Retrieval SIGIR'10, Geneva, Switzerland, July 19-23, pp. 711-712, 2010. The original publication is available at ACM Portal.
• Ronald T. Fernández, Javier Parapar, David E. Losada, Álvaro Barreiro. Where to Start Filtering Redundancy? A Cluster-Based Approach. Proceedings of the 33rd ACM International Conference on Research and Development in Information Retrieval SIGIR'10, Geneva, Switzerland, July 19-23, pp.735-736, 2010. The original publication is available at ACM Portal.
• M. Eduardo Ares, Javier Parapar, Álvaro Barreiro. Improving Alternative Text Clustering Quality in the Avoiding Bias Task with Spectral and Flat Partition Algorithms. Proceedings of the 21st International Conference on Database and Expert Systems Applications DEXA'10, Bilbao, Spain, August 30 - September 3 2010, Lecture Notes in Computer Science, vol. 6262, Part II, pp. 407-421, 2010. The original publication is available at SpringerLink.
• Javier Parapar, Jorge-López-Castro, Álvaro Barreiro. Blog Posts and Comments Extraction and Impact on Retrieval Effectiveness. Proceedings of the 1st Spanish Conference on Information Retrieval CERI'10, Madrid, Spain, June 15-17, pp.5-16, 2010.
• David Lojo, David E. Losada, Álvaro Barreiro. Evaluación de técnicas de Aprendizaje Activo para codificación CIE-9-MC de informes de alta hospitalaria. Proceedings of the 1st Spanish Conference on Information Retrieval CERI'10, Madrid, Spain, June 15-17, pp. 171-182, 2010.
• Renato de Freitas Bulcão-Neto, José Antonio Camacho-Guerrero, Álvaro Barreiro, Javier Parapar, Alessandra Alaniz Macedo. An Automatic Linking Service of Document Images Reducing the Effects of OCR Errors with Latent Semantics. Proceedingsof the 25th ACM Symposium On Applied Computing, ACM SAC 2010, pp. 13-17, Switzerland, March 22-26 2010. The original publication is available at ACM Portal.
• Ismael Hassan, Javier Parapar, Álvaro Barreiro. Lexisla: a legislative Information Retrieval System. Proceedings of PLN-E 2010, Workshop NLP in the Enterprise: Envisioning the Next 10 Years, SEPLN 2010, Valencia, September 7, 2010, CEUR Workshop Proceedings, vol-697, pp. 1-4. The original publication is available at the workshop site.
• Xosé R. De la Puente, Ismael Hassan. mOCRa: Mobile OCR Application. Proceedings of PLN-E 2010, Workshop NLP in the Enterprise: Envisioning the Next 10 Years, SEPLN 2010, Valencia, September 7, 2010. CEUR Workshop Proceedings, vol-697, pp. 5-8. The original publication is available at the workshop site

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2009

• M. Eduardo Ares, Javier Parapar, Álvaro Barreiro. Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links. Proceedings of the 2nd International Conference on the Theory of Information Retrieval ICTIR 2009, Cambridge, UK. Lecture Notes in Computer Science 5766, pp. 322-329, 2009. The original publication is available at SpringerLink.
• Christina Lioma, Roi Blanco, Raquel Mochales-Palau, Marie-Francine Moens. A Belief Model of Query Difficulty that uses Subjective Logic. Proceedings of the 2nd International Conference on the Theory of Information Retrieval ICTIR 2009, Cambridge, UK. Lecture Notes in Computer Science 5766, pp. 92-103, 2009. The original publication is available at SpringerLink.
• Christina Lioma, Roi Blanco, Marie-Francine Moens. A Logical Inference Approach to Query Expansion with Social Tags. Proceedings of the 2nd International Conference on the Theory of Information Retrieval ICTIR 2009, Cambridge, UK, Lecture Notes in Computer Science 5766, pp.358-361, 2009. The original publication is available at SpringerLink.
• Javier Parapar, David E. Losada, Álvaro Barreiro. Compression-based document length prior for language models. Proceedigns of the 32nd ACM International Conference on Research and Development in Information Retrieval SIGIR'09, pp. 652-653, Boston, July 19-23 2009. The original publication is available at ACM Portal.
• Roi Blanco, Christina Lioma. Mixed monolingual homepage finding in 34 languages: the role of language script and search domain. Information Retrieval 12(3), pp. 324-351, June 2009.
• Christina Lioma, Roi Blanco. Part of speech based term weighting for information retrieval. Proceedings of the 31st European Conference on Information Retrieval Research ECIR 2009, Toulouse, France. Lecture Notes in Computer Science, vol. 5478, pp. 412-423, 2009. The original publication is available at SpringerLink.
• Javier Parapar, Álvaro Barreiro. Evaluation of text clustering algorithms with n-gram-based document fingerprints. Proceedings of the 31st European Conference on Information Retrieval Research ECIR 2009, Toulouse, France, April 2009, Lecture Notes in Computer Science vol. 5478, pp. 645-653, 2009. The original publication is available at SpringerLink.
• Javier Parapar, Ana Freire, Álvaro Barreiro. Revisiting n-gram based models for retrieval in degraded large collections. Proceedings of the 31st European Conference on Information Retrieval Research ECIR 2009, Toulouse, France, April 2009. Lecture Notes in Computer Science vol. 5478, pp. 680-684, 2009. The original publication is available at SpringerLink.
• Raúl Ramos, Álvaro Barreiro. Enabling the Grid for experiments in distributed information retrieval. Proceedings of the first EELA-2 Conference, CIEMAT pubs, pp. 21-30, Bogotá, Colombia, February 2009.
• David Lojo, David E. Losada, Álvaro Barreiro. CIE-9-MC code classification with knn and SVM. Proceedings of IWINAC 2009 Part II. Lecture Notes in Computer Science 5602, pp. 499-508, Santiago, June 2009. The original publication is available at SpringerLink.
• M. Eduardo Ares, Álvaro Barreiro. Using a rank fusion technique to improve shot boundary detection effectiveness. Proceedings of the twelve International Conference on Computer Aided System Theory, EUROCAST 2009, Lecture Notes in Computer Science 5717, pp. 247-254, Las Palmas de Gran Canaria, February 2009. The original publication is available at SpringerLink.

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2008

• Javier Parapar, Álvaro Barreiro. Winnowing-based text clustering. Proceedings of 17th ACM Conference on Information and Knowledge Management CIKM 2008, pp. 1353-1354, Napa Valley, California, October 2008. The original publication is available at ACM Portal.
• Roi Blanco, Fabrizio Silvestri. ECIR 2008 Workshop on Efficiency Issues in Information Retrieval SIGIR Forum 42(1) pp. 59-62.
• Roi Blanco, Fabrizio Silvestri (organizers). EIIR Efficiency Issues in Information Retrieval Workshop, 30th European Conference on Information Retrieval Research ECIR 2008, Glasgow, UK, April 2008.
• Roi Blanco, Álvaro Barreiro. Probabilistic documents length priors for language models. Proceedings 30th European Conference on Information Retrieval Research ECIR 2008, Glasgow, UK, April 2008. Lecture Notes in Computer Science, Vol: 4956, pp. 394-405. The original publication is available at SpringerLink.
• Ismael Hasan, Javier Parapar, Roi Blanco. Segmentation of legislative documents using a domain-specific lexicon. Proceedings DEXA WS FlexDBIST 2008 pp. 665-669, Torino, IT, September 2008.
• Javier Parapar, Álvaro Barreiro. The Information Retrieval Lab at the University of A Coruña. BCS-IRSG Informer, Vol 25 , pp. 5-7, ISSN: 0950-4974.

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2007

• Javier Parapar, Álvaro Barreiro. An Effective and Efficient Web News Extraction Technique for an Operational NewsIR System. XIII Conferencia de la Asociación Española para la Inteligencia Artificial CAEPIA - TTIA 2007. Actas Vol II, pp. 319-328, Salamanca, Spain. 12-16 November 2007.
• Isabel Moskowich-Spiegel, Javier Parapar. Writing Science, Compiling Science: The Coruña Corpus of English Scientific Writing. XXXI Congreso Internacional de la Asociación Española De Estudios Anglo-Norteamericanos, AEDEAN 2007. A Coruña, Spain. 14-17 November 2007. Accepted paper, in press.
• Javier Parapar. Generating News Summaries at Indexing Time. BCS IRSG Symposium: Future Directions in Information Access, FDIA 2007, Glasgow, Scotland. 28-29 August 2007. Poster session and publication, BCS eWic ISSN 1477-9358.
• Javier Parapar, Isabel Moskowich-Spiegel. The Coruña Corpus Tool. Presented in XXIII Congreso de la Sociedad Española de Procesamiento del Lenguaje Natural, SEPLN 2007, Sevilla, Spain, 10-12 September 2007. Published in Revista del Procesamiento de Lenguaje Natural Vol 39, pp. 289-290, ISSN: 1135-5948.
• Javier Parapar, Álvaro Barreiro. NowOnWeb: A NewsIR System. Presented in XXIII Congreso de la Sociedad Española de Procesamiento del Lenguaje Natural, SEPLN 2007, Sevilla, Spain, 10-12 September 2007. Published in Revista del Procesamiento de Lenguaje Natural Vol 39, pp. 287-288, ISSN: 1135-5948.
• Roi Blanco, Álvaro Barreiro. Boosting static pruning of inverted files. Poster session of the 28th ACM International Conference on Research and Development in Information Retrieval, SIGIR 2007. Amsterdam, The Netherlands, July 23-27, 2007. The original publication is available at ACM Portal.
• Roi Blanco, Christina Lioma. Random Walk Term Weighting for Information Retrieval. 28th ACM International Conference on Research and Development in Information Retrieval SIGIR 2007. Amsterdam, The Netherlands, July 23-27, 2007. The original publication is available at ACM Portal.
• Roi Blanco, Álvaro Barreiro. Static pruning of terms in inverted files. Proceedings 29th European Conference on Information Retrieval Research ECIR2007, Rome, Italy, April 2007. Lecture Notes in Computer Science, Vol: 4425, pp. 64-75. The original publication is available at SpringerLink.
• José M. Casanova, Manuel A. Presedo-Quindimil, Álvaro Barreiro. Overall comparison at standard levels of recall of multiple retrieval methods with the Friedman test. Proceedings 29th European Conference on Information Retrieval Research ECIR2007, Rome, Italy, April 2007. Lecture Notes in Computer Science, Vol: 4425, pp. 683-685. The original publication is available at SpringerLink.
• Javier Parapar, José M. Casanova, Álvaro Barreiro. Now On Web: News Search and Summarization. EUROCAST 2007. Lecture Notes in Computer Science LNCS Vol.4739 pp. 225-232 ISBN: 978-3-540-75866-2. Las Palmas de Gran Canaria, Spain, February 12-16, 2007. Extended Abstract, EUROCAST 2007 Extended Abstracts, pp. 79-80 ISBN: 978-84-690-3603-7.

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2006

• David Parapar, Álvaro Barreiro. Addendum to our ECIR 2006 paper: Results with the TREC 2004 Novelty Track dataset.
• David Parapar, Álvaro Barreiro. Sentence retrieval with LSI and topic identification. Proceedings 28th European Conference on Information Retrieval Research, ECIR 2006, London UK, April 10-12 2006, LNCS 3936, pp. 119-130. The original publication is available at SpringerLink.
• Roi Blanco, Álvaro Barreiro. TSP and cluster-based solutions to the reassignment of document identifiers, Information Retrieval, 9(4), 499-517, September 2006.
• David E. Losada, Álvaro Barreiro. Negations and document length in logical retrieval (extended version). Information Systems 31(7), pp. 610-620 November 2006. The original publication is available at ScienceDirect.

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2005

• Roi Blanco, Álvaro Barreiro. Characterization of a simple case of the reassignment of document identifiers as a pattern sequencing problem. Poster session of the 28th ACM International Conference on Research and Development in Information Retrieval, Proceedings of ACM-SIGIR 2005, pp. 587-588, Salvador, Brasil, August 2005. The original publication is available at ACM Portal.
• Roi Blanco, Álvaro Barreiro. Document identifier reassignment through dimensionality reduction. Proceedings of the 27th European Conference on Information Retrieval Research, ECIR 2005, Santiago, Spain, March 2005, Lecture Notes in Computer Science 3408, pp. 375-387, 2005. The original publication is available at SpringerLink.
• David Parapar, Álvaro Barreiro, D.E. Losada. Query expansion using Wordnet with a logical model of Information Retrieval. Proceedings of the IADIS International Conference on Applied Computing 2005, vol. I pp. 487-494, Algarve, Portugal, February 2005.
• Manuel A. Presedo-Quindimil, Álvaro Barreiro. Evaluación de estrategias en Recuperación de Información, Actas I Congreso de Estadística e Investigación Operativa de Galicia y Norte de Portugal, Guimaraes, Portugal, Octubre 2005.
• Roi Blanco, Álvaro Barreiro. A software architecture for efficient document identifier reassignment. Proceedings of Intelligent Information Processing Workshop EUROCAST 2005, Lecture Notes in Computer Science 3643, pp. 254-262, 2005. Las Palmas de Gran Canaria, Spain, February 2005.

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2004

• David E. Losada, Álvaro Barreiro. Negations and document length in logical retrieval. Proceedings of the 11th International Symposium on String Processing and Information Retrieval (SPIRE 2004), Padova, Italy, October 2004. Lecture Notes in Computer Science 3246, pp. 196-207, 2004. The original publication is available at SpringerLink.
• David E. Losada, Álvaro Barreiro. Negations as a high precision mechanism. Proceedings of the 26th European Conference on Information Retrieval Research, ECIR 2004, Sunderland, UK, April 2004, Proceedings Vol. 2 Poster Abstracts, pp. 11-12.

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2003

• Álvaro Barreiro, David E. Losada. A theoretical study of logical retrieval in terms of a characterisation of knowledge revision. ACM SIGIR 2003 Workshop on Mathematical/Formal Methods in Information Retrieval, Toronto, Canada, July 28-Agust 1, 2003.
• Álvaro Barreiro, David E. Losada. Análisis de la medida de distancia entre documentos y consultas en el modelo lógico de Recuperación de Información PLBR. II Jornadas de Tratamiento y Recuperación de la Información JOTRI 2003, pp. 257-264, Leganés, Madrid, Septiembre 2003.
• David E. Losada, Álvaro Barreiro. Embedding Term Similarity and Inverse Document Frequency into a Logical Model of Information Retrieval. Journal of the American Society for Information Science and Technology, 54(4), pp. 285-301, 2003.
• David E. Losada, Álvaro Barreiro. Propositional logic representations for documents and queries: a large-scale evaluation. Proceedings of the 25th European Conference on Information Retrieval Research, ECIR 2003, Pisa, Italy, April 2003. Lecture Notes in Computer Science, vol 2633, pp. 219-234. The original publication is available at SpringerLink.

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2001

• David E. Losada, Álvaro Barreiro. A logical model for information retrieval based on Propositional Logic and Belief Revision. The Computer Journal, 44(5), pp. 410-424, 2001.
• David E. Losada, Álvaro Barreiro. An homogeneous framework to model relevance feedback. Poster session of the 24th ACM International Conference on Research and Development in Information Retrieval, ACM-SIGIR'2001, pp. 422-423, New Orleans, USA, September 2001. The original publication is available at ACM Portal.
• David E. Losada, Álvaro Barreiro. Rating the impact of logical representations on retrieval performance. Third International Workshop on Logical and Uncertainty Models for Information Systems LUMIS 2001, Proceedings of the 12nd International Workshop on Database and Expert System Applications DEXA 2001, pp. 247-253, Munich, Germany, September 2001.

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2000

• David E. Losada, Álvaro Barreiro. Efficient algorithms for ranking documents represented as DNF formulas. ACM SIGIR 2000 Workshop on Mathematical/Formal Methods in Information Retrieval, Athens, Greece, July 24-28, published in Technology Letters, 4(1), pp. 16-24, 2000.
• David E. Losada, Álvaro Barreiro. Retrieval Situations and Belief Change. Second International Workshop on Logical and Uncertainty Models for Information Systems LUMIS 2000, Proceedings of the 11th International Workshop on Database and Expert System Applications DEXA 2000, pp. 531-537, Greenwich, London, September 6-8, 2000.
• David E. Losada, Álvaro Barreiro. Implementing Document Ranking within a Logical Framework. Proceedings of 7th International Symposium on String Processing and Information Retrieval (SPIRE 2000), pp. 188-198, Corunna, Spain, Setember 27-29, 2000. The original publication is available at IEEE Xplore.

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1999

• David E. Losada, Álvaro Barreiro. Conceptualisation of a Belief Revision Approach to Information Retrieval. Poster session of the IEEE Seminar on Searching for Information: Artificial Intelligence and Information Retrieval Approaches, pp. 18/1-18/3, Glasgow, UK, November 1999.
• David E. Losada, Álvaro Barreiro. Using a Belief Revision Operator for Document Ranking in Extended Boolean Models. Proceedings of the 22nd ACM International Conference on Research and Development in Information Retrieval, SIGIR'99, pp. 66-73, Berkeley, USA, August 15- 19, 1999. The original publication is available at ACM Portal.
• Álvaro Barreiro, David E. Losada, Raúl Ramos. TWebS: An application of Terminological Logics in Web Searching. Actas IV Congreso ISKO-España EOCONSID'99, pp. 253-259, Granada, Abril 22-24, 1999.

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1998

• David E. Losada, Raúl Ramos, Álvaro Barreiro. A Terminological Approach to Resource Discovery Mechanisms. Proceedings of the 6th Iberoamerican Conference on Artifical Intelligence IBERAMIA-98 (ODT), pp. 3-16, Lisboa, October 5-9, 1998.

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1997

• Álvaro Barreiro, Raúl Ramos, Pedro Cabalar. Un Modelo Terminológico para el problema de Recuperación de Datos. Actas de la VII Conferencia de la Asociación Española para la Inteligencia Artificial CAEPIA'97, pp. 745-754, Málaga, Noviembre 1997.