From Text to Topics in Healthcare Records: An Unsupervised Graph Partitioning Methodology. - M. Tarik Altuncu; Erik Mayer; Sophia N. Yaliraki; Mauricio Barahona (CoRR, 2018)

Content-driven, unsupervised clustering of news articles through multiscale graph partitioning. - M. Tarik Altuncu; Sophia N. Yaliraki; Mauricio Barahona (CoRR, 2018)

Optimizing the Access to Healthcare Services in Dense Refugee Hosting Urban Areas: A Case for Istanbul. - M. Tarik Altuncu; Ayse Seyyide Kaptaner; Nur Sevencan (Data for Refugees Challenge, 2019)

Policy Implications of the D4R Challenge. - Albert Ali Salah; M. Tarik Altuncu; Selim Balcisoy; Erika Frydenlund; Marco Mamei; Mehmet Ali Akyol; Kerem Yavuz Arslanli; Ivon Bensason; Christine Boshuijzen-van Burken; Paolo Bosetti; Jeremy Boy; Tugba Bozcaga; et al. (Data for Refugees Challenge, 2019)

From free text to clusters of content in health records: an unsupervised graph partitioning approach. - M. Tarik Altuncu; Erik Mayer; Sophia N. Yaliraki; Mauricio Barahona (Appl. Netw. Sci., 2019)

Optimizing the Access to Healthcare Services in Dense Refugee Hosting Urban Areas: A Case for Istanbul. - M. Tarik Altuncu; Ayse Seyyide Kaptaner; Nur Sevencan (CoRR, 2019)

Extracting information from free text through unsupervised graph-based clustering: an application to patient incident records. - M. Tarik Altuncu; Eloise Sorin; Joshua D. Symons; Erik Mayer; Sophia N. Yaliraki; Francesca Toni; Mauricio Barahona (CoRR, 2019)

Graph-Based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles. - M. Tarik Altuncu; Sophia N. Yaliraki; Mauricio Barahona (COMPLEX NETWORKS (2), 2020)