Modelling Probabilistic Inference Networks and Classification in Probabilistic Datalog. - Miguel Martinez-Alvarez; Thomas Roelleke (SUM, 2010)

A Descriptive Approach to Classification. - Miguel Martinez-Alvarez; Thomas Roelleke (ICTIR, 2011)

On the Probabilistic Logical Modelling of Quantum and Geometrically-Inspired IR. - Fabrizio Smeraldi; Miguel Martinez-Alvarez; Ingo Frommholz; Thomas Roelleke (IIR, 2011)

Descriptive modelling of text classification and its integration with other IR tasks. - Miguel Martinez-Alvarez (SIGIR, 2011)

Semi-automatic Document Classification: Exploiting Document Difficulty. - Miguel Martinez-Alvarez; Sirvan Yahyaei; Thomas Roelleke (ECIR, 2012)

Investigating the Use of Extractive Summarisation in Sentiment Classification. - Marco Bonzanini; Miguel Martinez-Alvarez; Thomas Roelleke (IIR, 2012)

Opinion summarisation through sentence extraction: an investigation with movie reviews. - Marco Bonzanini; Miguel Martinez-Alvarez; Thomas Roelleke (SIGIR, 2012)

Document Difficulty Framework for Semi-automatic Text Classification. - Miguel Martinez-Alvarez; Alejandro Bellogín; Thomas Roelleke (DaWaK, 2013)

Mathematical Specification and Logic Modelling in the context of IR. - Miguel Martinez-Alvarez; Marco Bonzanini; Thomas Roelleke (ICTIR, 2013)

The D2Q2 Framework: On the Relationship and Combination of Language Modelling and TF-IDF. - Thomas Roelleke; Hany Azzam; Marco Bonzanini; Miguel Martinez-Alvarez; Mounia Lalmas (LWA, 2013)

Extractive summarisation via sentence removal: condensing relevant sentences into a short summary. - Marco Bonzanini; Miguel Martinez-Alvarez; Thomas Roelleke (SIGIR, 2013)

On the modelling of ranking algorithms in probabilistic datalog. - Thomas Roelleke; Marco Bonzanini; Miguel Martinez-Alvarez (DBRank@VLDB, 2013)

Mind the Gap: Is Industry the Missing Piece of the Puzzle? - Miguel Martinez-Alvarez (MindTheGap@iConference, 2014)

Knowledge-enhanced text classification: descriptive modelling and new approaches. - Miguel Martinez-Alvarez (2014)

Signal: Advanced Real-Time Information Filtering. - Miguel Martinez-Alvarez; Udo Kruschwitz; Wesley Hall; Massimo Poesio (ECIR, 2015)

What do a Million News Articles Look like? - David P. A. Corney; Dyaa Albakour; Miguel Martinez-Alvarez; Samir Moussa (NewsIR@ECIR, 2016)

First International Workshop on Recent Trends in News Information Retrieval (NewsIR'16). - Miguel Martinez-Alvarez; Udo Kruschwitz; Gabriella Kazai; Frank Hopfgartner; David P. A. Corney; Ricardo Campos 001; Dyaa Albakour (ECIR, 2016)

Report on the 1st International Workshop on Recent Trends in News Information Retrieval (NewsIR16). - Miguel Martinez-Alvarez; Udo Kruschwitz; Gabriella Kazai; Frank Hopfgartner; David P. A. Corney; Ricardo Campos 001; Dyaa Albakour (SIGIR Forum, 2016)

On the Long-Tail Entities in News. - José Esquivel; Dyaa Albakour; Miguel Martinez-Alvarez; David P. A. Corney; Samir Moussa (ECIR, 2017)

A Data Collection for Evaluating the Retrieval of Related Tweets to News Articles. - Axel Suarez; Dyaa Albakour; David P. A. Corney; Miguel Martinez-Alvarez; José Esquivel (ECIR, 2018)

Report on the 2nd International Workshop on Recent Trends in News Information Retrieval (NewsIR'18). - Dyaa Albakour; David P. A. Corney; Julio Gonzalo; Miguel Martinez-Alvarez; Barbara Poblete; Andreas Vlachos 001 (SIGIR Forum, 2018)

Recognising Summary Articles. - Mark Fisher; Dyaa Albakour; Udo Kruschwitz; Miguel Martinez-Alvarez (ECIR (1), 2019)

Automatic Media Analysis: From Monitoring to Insights. - Miguel Martinez-Alvarez (Text2Story@ECIR, 2019)