Workshop Program
Workshop Date: March 29th, 2022
Time zone: Central European Standard Time
9:30 -- 9:40 Opening
9:40 -- 10:30 Keynote speech: "From data pipelines to data products: The way to go" by Dr. Khalid Belhajjame (Université Paris-Dauphine, France)
10:30 -- 11:45 Session I
- Trusted Data Forever: Is AI the Answer? by Emanuele Frontoni, Marina Paolanti, Tracey P. Lauriault, Michael Stiber, Luciana Duranti, and Muhammad Abdul-Mageed.
- NeuTraL: Neural Transfer Learning for Personalized Ranking by Rasaq Otunba
- On Customer Data Deduplication: Lessons Learned from a R&D Project in the Financial Sector by Pawel Boinski, Mariusz Sienkiewicz, Bartosz Bebel, Robert Wrembel, Dariusz Galezowski and Waldemar Graniszewski.
- Consolidation of Massive Medical Emergency Events With Heterogeneous Situational Context Data Sources by Thomas James Tiam-Lee, Rui Henriques, José Costa, Vasco Manquinho, and Helena Galhardas.
- Sensitivity of Robot-Aided Remote Object Detection in Forests by Moad Idrissi, Ambreen Hussain, Taufiq Asyhari, Ahmed Osman, Bidushi Barua, Raouf Abozariba, Adel Aneiba, and Rehan Bhana.
11:45 -- 12:00 Break
12:00 -- 13:45 Session II
- Intelligent integration of heterogeneous data for answering analytics queries in multi-cloud environments by Genoveva Vargas-Solar, Chirine Ghedira-Guegan, and Nadia Bennani.
- Exploring waste-collection fleet data: challenges in a real-world use case by Simone Monaco, Paolo Bethaz, Daniele Apiletti, Fabrizio Pio Baldini, Carlo Caso, and Tania Cerquitelli.
- Reference Sources in Clearing Customer Data: Conclusions from a R&D Project by Mariusz Sienkiewicz.
- A data narrative about tuberculosis pandemic in Gabon by Raymond Ondzigue Mbenga, Veronika Peralta, Thomas Devogele, Faten El Outa, Sydney Maghendji Nzondo, and Edgard Brice Ngoungou.
- Predicting job execution time on a high-performance computing cluster using a hierarchical data-driven methodology by Paolo Bethaz, Bartolomeo Vacchetti, Enrica Capitelli, Vladi Nosenzo, Luca Chiosso, and Tania Cerquitelli.
- Gender Differences in Early Career Performance Reviews: a Text Mining Study by Shivangi Chopra and Lukasz Golab.
- A Framework for German-English Machine Translation with GRU RNN by Levi Corallo, Guanghui Li, Kenna Reagan, Abhishek Saxena, Aparna Varde, and Brandon Wilde.
13:45 -- 14:00 Closing