Workshop Program

DARLI-AP@EDBT-ICDT_2023

Workshop Date: March 28th, 2023
Time zone: Eastern European Time – EET Time Zone (Standard Time)

Session chair (in-presence): Dr. Genoveva Vargas-Solar

 

14:30 -- 14:40 Opening

14:40 -- 15:30 Keynote speech: "Real-Time Intelligent Systems for Urban Real-Life Applications" by Prof. Vana Kalogeraki (Department of Informatics, University of Economics and Business)

15:30 - 16:00 SESSION I: Research and Application Papers

GeoRoBERTa: A Transformer-based Approach for Semantic Address Matching 
by Yassine Guermazi, Sana Sellami and Omar Boucelma.

Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human Activities 
by Arik Ermshaus, Sunita Singh and Ulf Leser.     
   

16:00 -- 16:30 Coffee Break

16:30-18:30 SESSION II: Research and Application Papers

Amarelli’s Industry 4.0 Transformation with IoT and Digital Advertisement: Optimizing Operations and Engaging Customers 
by Fabrizio Giuliano, Simona Ester Rombo, Mariella Bonomo, Salvatore Iiritano, Luigi Granata, Massimiliano Ruffolo and Ilenia Tinnirello.

Strategies for creating knowledge graphs to depict a multi-perspective Queer communities representation 
by Louann Coste, Flora Helmers, Hamamache Kheddouci, Léo Le Nestour, Mahsa Niazi and Genoveva Vargas-Solar.

Learning Confidence Intervals for Feature Importance: A Fast Shapley-based Approach  
by Davide Napolitano, Lorenzo Vaiani and Luca Cagliero.

Translating data science queries from natural language into graph analytics queries using NLDS-QL 
by Genoveva Vargas-Solar, Karim Dao and Javier A. Espinosa-Oviedo.

Data-driven energy demand forecasting for electric vehicle charging infrastructure
by Silvia Meddi, Sara Cavaglion, Tania Cerquitelli, Emanuele Manfredi, Andrea Regalia, Raffaele Menolascino and Guido Zardo.
    
Recommendation Systems in Libraries: an Application with Heterogeneous Data Sources 
by Alessandro Speciale, Greta Vallero, Luca Vassio and Marco Mellia.

Detection of anomalous trajectories for vehicle traffic data  
by Angelos Moavinis, Anastasios Gounaris and Ioannis Constantinou.

Forecasting Li-ion battery State of Charge using Long-Short-Term-Memory network 
by Irene Capodicasa and Tania Cerquitelli.

18:30 Closing

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