Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment co-authored by Flavio Giobergia (Politecnico di Torino, Italy), Luca Cagliero (Politecnico di Torino, Italy), Paolo Garza (Politecnico di Torino, Italy) and Elena Baralis (Politecnico di Torino, Italy).

Culture-aware Point-of-Interest Category Completion in a Global Location-Based Social Network Database without Access to User Data co-authored by Nikolaos Lagos (Naver Labs Europe, France) and Ioan Calapodescu (Naver Labs Europe, France).

Reddit Mining to Understand Gendered Movements co-authored by Abeer Khan (University of Waterloo, Canada) and Lukasz Golab (University of Waterloo, Canada).

AdsISee: Advertisement Detection and Tracking for Sponsorship Evaluation in Soccer Matches co-authored by Alexander Westermann (Zurich University of Applied Sciences, Switzerland), Philipp Krayer (Zurich University of Applied Sciences, Switzerland) and Andreas Weiler (Zurich University of Applied Sciences, Switzerland).

Evaluating espresso coffee quality by means of time-series feature engineering co-authored by Daniele Apiletti (Politecnico di Torino, Italy), Eliana Pastor (Politecnico di Torino, Italy), Riccardo Callà (Politecnico di Torino, Italy) and Elena Baralis (Politecnico di Torino, Italy).

A Cognitive Automation Approach for a Smart Lending and Early Warning Application co-authored by Ermelinda Oro (High Performance Computing and Networking Institute of the National Research Council, Italy), Massimo Ruffolo (High Performance Computing and Networking Institute of the National Research Council, Italy) and Fausto Pupo (Altilia, Italy).

Regular Pattern and Anomaly Detection on Corporate Transaction Time Series co-authored by Francesca Soro (Politecnico di Torino, Italy), Marco Mellia (Politecnico di Torino, Italy) and Nicolò Russo (Unicredit S.p.A., Austria).

Data-driven vs knowledge-driven inference of health outcomes in the ageing population: a case study co-authored by Davide Ferrari (University of Modena and Reggio Emilia, Italy), Giovanni Guaraldi (University of Modena and Reggio Emilia, Italy), Federica Mandreoli (University of Modena and Reggio Emilia, Italy), Riccardo Martoglia (University of Modena and Reggio Emilia, Italy), Jovana Milić (University of Modena and Reggio Emilia, Italy), and Paolo Missier (Newcastle University, UK).

Machine Learning Supported Next-Maintenance Prediction for Industrial Vehicles co-authored by Sachit Mishra (Politecnico di Torino, Italy), Luca Vassio (Politecnico di Torino, Italy), Luca Cagliero (Politecnico di Torino, Italy), Marco Mellia (Politecnico di Torino, Italy), Elena Baralis (Politecnico di Torino, Italy), Riccardo Loti (Tierra S.p.a, Italy), and Lucia Salvatori (Tierra S.p.a, Italy).

Reddit Mining to Understand Women's Issues in STEM co-authored by Allison Jacobs (University of Waterloo, Canada), Shivangi Chopra (University of Waterloo, Canada), and Lukasz Golab (University of Waterloo, Canada).

Exploring the Auto Model Competition Patterns in China’s Auto Market based on Complex Networks Theory co-authored by Sheng Zhang (College of Artificial Intelligence Beijing Normal University, China), Haoyang Che (College of Artificial Intelligence Beijing Normal University, China), Jiacai Zhang (College of Artificial Intelligence Beijing Normal University, China) and Yucong Duan (College of Information Science and Technology, China).

Forecasting Corporate Financial Time Series using Multi-phase Attention Recurrent Neural Networks co-authored by Shuhei Yoshimi (Kobe University, Japan) and Koji Eguchi (Hiroshima University, Japan).

GooDBye: a Good Graph Database Benchmark - an Industry Experience co-authored by Piotr Matyjaszczyk (Poznan University of Technology, Poland), Przemyslaw Rosowski (Poznan University of Technology, Poland), and Robert Wrembel (Poznan University of Technology, Poland).

A Balanced Solution for the Partition-based Spatial Merge Join in MapReduce co-authored by Sara Migliorini (University of Verona, Italy) and Alberto Belussi (University of Verona, Italy).

Question Answering on OLAP-like Data Sources co-authored by Nadine Steinmetz (Technische Universität Ilmenau, Germany), Samar Shahabi-Ghahfarokhi (Technische Universität Ilmenau, Germany) and Kai-Uwe Sattler (Technische Universität Ilmenau, Germany).