Industry Track

Accepted Talks

  • Towards operational transfer application of Deep Reinforcement Learning to Large Area Coverage using Earth Observation satellite scheduling
    Adrien Hadj-Salah
    IRT Saint-Exupéry; Airbus Defence & Space

  • CD-SEM image denoising with unsupervised machine learning for better defect inspection and metrology
    Bappaditya Dey, Sandip Halder, Kasem Khalil, Philippe Leray, Magdy A. Bayoumi
    IMEC

  • Visual Recommendations at bol.com
    Barrie Kersbergen
    bol.com

  • Finding Data Scientist Challenges in using ML Platform
    Vijay Agneeswaran, Chandra Mohan Meena, Rajesh Shreedhar Bhat
    Walmart Labs

  • Human-Machine collaboration in semiconductor manufacturing: Opportunities and Challenge
    Dimitra Gkorou, Maialen Larranaga, Alexander Ypma, Robert Jan van Wijk
    ASML

  • Voice Assistant ASR Bootstrapping
    Manuel Giollo, Ali Orkan Bayer, Sergio Duarte Torres, Deniz Günceler, Yulan Liu, Volker Leutnant
    Amazon Alexa

  • Intent classification in Deutsche Telekom's Hallo Magenta Voice Assistant
    Mattheus van Iterson, Ralf Kirchherr, Sofia Nikitaki, Leonard Plotkin, Andrea Schnall
    Deutsche Telekom AG

  • Text Extraction from Product Images
    Anirban Chatterjee, Pranay Dugar, Rajesh Shreedhar Bhat, Vijay Agneeswaran
    Walmart Labs

  • Distributional Regression for Cost-Optimized Demand Forecasting in e-Grocery
    Robert Pesch
    inovex GmbH

  • Normalizing our norms for Machine Learning development processes
    Turan Bulmus
    Google Cloud

Invited Talks

  • The Challenges of Setting ML in Production
    Maryse Colson, Sabri Skhiri
    EuraNova

  • The Flemish AI Research Program
    Sabine Demey
    imec-UGent

  • IDLab: Why data are the most important assets you have
    Wouter Haerick
    IDLab, UGent-imec