ORBEL 34

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Schedule


Thursday, 30 January
08:30-09:10Welcome-registration-coffeeB14-B15-B16
09:10-09:30Opening sessionAmphi Cuccaroni
09:30-10:30Plenary session - Adam Letchford (Chair: Martine Labbé)Amphi Cuccaroni
10:30-11:20Coffee breakB14-B15-B16
11:20-12:40Parallel sessions
  Multi-objective Optimization
Chair: Sara Tari
Room: E501
Health-care
Chair: Véronique François
Room: E502
Public Transportation
Chair: Javier Duran Micco
Room: E503
Global Optimization
Chair: Olivier Rigal
Room: E601
Analytics 1
Chair: Rafael Van Belle
Room: E602
12:40-14:10Lunch/ORBEL Board meetingB14-B15-B16/E501
14:10-15:10Parallel sessions
  Air, Rail and Multimodal Transportation
Chair: Paola Paregrini
Room: E501
Game Theory
Chair: Lotte Verdnock
Room: E502
Transportation of People
Chair: Yves Molenbruch
Room: E503
Multi-level Optimization
Chair: Concepcion Dominguez
Room: E601
Analytics 2
Chair: Vedavyas Etikala
Room: E602
15:10-15:50Coffee breakB14-B15-B16
15:50-16:40Parallel sessions
  Sport Timetabling
Chair: Dries Goossens
Room: E501
Project Management and Scheduling
Chair: Fan Yang
Room: E502
Rich Routing and Graphs
Chair: Alexandre Bontems
Room: E503
Logistics
Chair: Yuan Yuan
Room: E601
Analytics 3
Chair: Jari Peeperkorn
Room: E602
16:50-17:30ORBEL general assemblyAmphi Cuccaroni
19:00-20:00CocktailBar Zango
20:30-23:00DinnerLa Terrasse des Ramparts

Friday, 31 January
09:30-10:30Plenary session - Miguel F. Anjos (Chair: Luce Brotcorne)Amphi Cuccaroni
10:30-11:20Coffee breakB14-B15-B16
11:20-12:40Parallel sessions
  Automatic Configuration and Metaheuristics Analysis
Chair: Kenneth Sorensen
Room: E501
Real Life and Integrated Problems
Chair: Jeroen Belien
Room: E502
Warehouse Management
Chair: Harol Mauricio Gamez
Room: E601
Analytics 4
Chair: Noureddine Kouaissah
Room: E602
12:40-14:10LunchB14-B15-B16
14:10-15:10Parallel sessions
  Orbel Award
Chair: Jeroen Belien
Room: E501
Optimization
Chair: Julien Dewez
Room: E502
Trucking Optimization
Chair: Hatice Çalik
Room: E601
Analytics 5
Chair: Diego Olaya
Room: E602
15:10-15:50Coffee breakB14-B15-B16
15:50-16:50Parallel sessions
  Learning and Optimization
Chair: Johan Van Kerckhoven
Room: E501
Lot-sizing and Inventory
Chair: Philippe Chevalier
Room: E502
Rich Routing
Chair: Cristian Aguayo
Room: E601
17:00-17:15ORBEL award and closing sessionAmphi Cuccaroni
17:15-18:30Closing cocktailB14-B15-B16


Thursday 11:20 - 12:40 Multi-objective Optimization
Room E501 - Chair: Sara Tari

Thursday 11:20 - 12:40 Health-care
Room E502 - Chair: Véronique François

Thursday 11:20 - 12:40 Public Transportation
Room E503 - Chair: Javier Duran Micco

Thursday 11:20 - 12:40 Global Optimization
Room E601 - Chair: Olivier Rigal

Thursday 11:20 - 12:40 Analytics 1
Room E602 - Chair: Rafael Van Belle

Thursday 14:10 - 15:10 Air, Rail and Multimodal Transportation
Room E501 - Chair: Paola Pellegrini

Thursday 14:10 - 15:10 Game Theory
Room E502 - Chair: Lotte Verdnock

Thursday 14:10 - 15:10 Transportation of People
Room E503 - Chair: Yves Molenbruch

Thursday 14:10 - 15:10 Multi-level Optimization
Room E601 - Chair: Concepcion Dominguez

Thursday 14:10 - 15:10 Analytics 2
Room E602 - Chair: Vedavyas Etikala
  • Machine learning methods for short-term Probability of Default
    Lize Coenen (Vrije Universiteit Brussel)
    Co-authors: Wouter Verbeke, Tias Guns
    Abstract:
    Probability of default estimation via machine learning on historical data is widely studied in credit risk modeling, where risk is estimated by the probability of an entire company or person to default on a loan. In this work, we investigated the use of machine learning for a finer-grained risk estimation task, namely spot factoring. Here, the goal is to estimate the likelihood that a single invoice will be paid in an acceptable timeframe. In this case, risk is more related to when the invoice was paid (if ever), compared to the contractual payment date, that is, the overdueness of an invoice. Based on this observation, we investigate three different machine learning tasks that can be suitable for estimating this risk: binary classification for a predetermined overdue days cutoff; regression of the overdue days; and learning-to-rank which learns to optimize the risk-related ranking of all instances rather than predicting a value. We describe different ways of modeling these tasks and evaluate them on real-life spot factoring data, with measures specific to each of the learning tasks. As the goal is to evaluate the tasks, rather than the learning methods, we compare them for three different families of learning methods: linear models, support vector machines and gradient-boosted trees. To better answer the question of the suitability of the different tasks for spot factoring, we perform a profit-driven evaluation that shows that regression models can lead to higher profits and better spread out the risk than classification and ranking models for spot factoring.
  • Applying Deep Learning for an intelligent Data Quality Platform
    Jeroen Frans (KU Leuven)
  • Extracting Explainable Business Decision Models
    Vedavyas Etikala (KU Leuven)
    Co-authors: Jan Vanthienen

Thursday 15:50 - 16:50 Sport Timetabling
Room E501 - Chair: Dries Goossens

Thursday 15:50 - 16:50 Project Management and Scheduling
Room E502 - Chair: Fan Yang

Thursday 15:50 - 16:50 Rich Routing and Graphs
Room E503 - Chair: Alexandre Bontems

Thursday 15:50 - 16:50 Logistics
Room E601 - Chair: Silia Mertens

Thursday 15:50 - 16:50 Analytics 3
Room E602 - Chair: Jari Peeperkorn

Friday 11:20 - 12:40 Automatic Configuration and Metaheuristics Analysis
Room E501 - Chair: Kenneth Sorensen

Friday 11:20 - 12:40 Real Life and Integrated Problems
Room E502 - Chair: Jeroen Belien

Friday 11:20 - 12:40 Warehouse Management
Room E601 - Chair: Harol Mauricio Gamez

Friday 11:20 - 12:40 Analytics 4
Room E602 - Chair: Noureddine Kouaissah

Friday 14:10 - 15:10 Orbel Award
Room E501 - Chair: Jeroen Belien

    Friday 14:10 - 15:10 Optimization
    Room E502 - Chair: Julien Dewez

    Friday 14:10 - 15:10 Trucking Optimization
    Room E601 - Chair: Hatiz Çalik

    Friday 14:10 - 15:10 Analytics 5
    Room E602 - Chair: Diego Olaya

    Friday 15:50 - 16:50 Learning and Optimization
    Room E501 - Chair: Jorik Jooken

    Friday 15:50 - 16:50 Lot-sizing and Inventory
    Room E502 - Chair: Philippe Chevalier

    Friday 15:50 - 16:50 Rich Routing
    Room E601 - Chair: Cristian Aguayo

     
     
      ORBEL - Conference chairs: Diego Cattaruzza and Maxime Ogier