Workshop Program

AIABI 2021 - 30th November Conference Program

AIABI 2021 program is now in definition.

 

Session 1

  • 9.00 – 9.10: WELCOME SESSION, by Francesco Epifania, Social Thingum
  • 9.10 – 9.40: Invited speaker: Nvidia, by Iuri Frosio and Piero Altoè, Nvidia
  • 9.40 – 10.00: A deep learning based methodology for information extraction from documents in Robotic Process Automation (full | 101),  by Nicola Massarenti, Noovle
  • 10.00 – 10.20: Instagram Images and Videos Popularity Prediction: a Deep Learning-Based Approach (full | 158), by Luca Brunelli and Massimiliano Viola, Statwolf
  • 10.20 – 10.40: EPICS: Pursuing the Quest for Smart Procurement with Artificial Intelligence (full | paper 179), by Angelo Impedovo, Niuma

10.40 – 10.55: Virtual Coffee Break

10.55 – 11.05: Pause

  • 11.05 – 11.25: A machine learning based framework for continuous defect prediction in CI/CD pipelines (full | paper 157), by Nicola Massarenti, Noovle
  • 11.25 – 11.45: Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission (full | paper 167), by Aldo Marzullo, University of Calabria
  • 11.45 – 12.05: Automatic Data Acquisition of the Power line Inspection Using autonomous UAV’s on Simulated Environment (full | 15), by Moayid Ali Zaidi, OsloMet University College
  • 12.05 – 12.25: CMS optimisation with deep learning techniques (full  | paper 191), by Luca Marconi, Social Thingum
  • 12.25 – 12.40: Artificial Intelligence in Customer Management Processes: a design perspective (short | paper 159), by Maurizio Mesenzani, VGS

12.40 – 12.55: Virtual Coffee Break

12.55 – 14.00: Lunch

Session 2

  • 14.00 – 14.30: Invited speaker: “Machine Learning in the Travel Industry: the  lastminute.com case”, by Alessandro Rozza, Lastminute
  • 14.30 – 14.50: A cloud-hosted online learning approach for glycemic index forecasting (full | 103), by Giorgio Lazzarinetti, Noovle
  • 14.50 – 15.05: Recognition of skin diseases and exanthema with deep learning techniques (short | 185), by Luca Marconi, Social Thingum
  • 15.05 – 15.25: Dialog Clustering: a framework for automatic text clustering (full | 100), by Nicola Massarenti, Noovle
  • 15.25 – 15.45: A comparison of machine learning algorithms and tools in prognostic predictive maintenance: a focus on Siamese Neural Network models (full | 104), by Giorgio Lazzarinetti, Noovle
  • 15.45 – 16.05: Rapid analysis of powders based on deep learning, near-infrared and derivative spectroscopy (full | 178), by Tegegn Dagmawi Delelegn, University of Milano-Bicocca

16.05 – 16.20: Virtual Coffee Break

16.20 – 16.30: Pause

  • 16.30 – 16.50: A conversational framework for semantic question answering in customer services with Machine Learning on Knowledge Graph (full | 102) , by Giorgio Lazzarinetti, Noovle
  • 16.50 – 17.05: DSAi: AI powered platform to support the use and mapping of educational content for SLDs students (short | 162), by Guido Di Fraia, IULM University of Milan
  • 17.05 – 17.20: Chatbots with deep learning techniques: the influence of dataset variation on user experience (short | 181), by Simone Deola, Social Thingum
  • 17.20 – 17.40: KCRS: kclustering recommender system for component configuration (full | 192), by Ricardo Matamoros, Social Thingum

17.40 – 17.50: Closing