Program for stream Mathematical Optimization for XAI

MB-27: On Mathematical Optimization for Explainable and Fair Machine Learning
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Kseniia Kurishchenko

• Making Black-Boxes Explainable and Fair Through Mathematical Optimization
  Thomas Halskov, Emilio CARRIZOSA, Dolores Romero Morales
• From fair predictions to just decisions
  Elif Ersoy, Enis Kayis
• Fair treatment allocation via tree ensembles
  Kseniia Kurishchenko
• Beyond Efficient Global Optimization: an Algorithm Minimizing Expected Regret
  Zizhou Ouyang, Belen Martin Barragan, Xuefei Lu

MC-27: XAI in Business Processes
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Jari Peeperkorn

• Reducing Cognitive Load in Declarative Business Process Models
  Hugo A. López
• Leveraging Manifold Learning for Constrained Counterfactual Explanations in Process Outcome Prediction
  Jari Peeperkorn, Alexander Stevens
• Exploring Explainable Predictive Process Monitoring
  Andrei Buliga
• Dynamic Condition Response Graphs as Explainable AI in Business Processes
  Thomas Troels Hildebrandt

MD-27: Mathematical Optimization for Counterfactual Explanations
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Jasone Ramírez-Ayerbe

• Counterfactual Explanations for Linear Optimization Problems
  Jannis Kurtz, Ilker Birbil, Dick den Hertog
• Finding Regions of Counterfactual Explanations via Robust Optimization
  Donato Maragno
• Multistage counterfactual decisions
  Emilio CARRIZOSA, Jasone Ramírez-Ayerbe, Dolores Romero Morales
• One-for-many Counterfactual Explanations by Column Generation
  Jasone Ramírez-Ayerbe, Andrea Lodi

TA-27: Counterfactual Analysis Across Diverse Domains
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Jasone Ramírez-Ayerbe

• Counterfactual Analysis for Explicability and Fault prevention of Complex Energy Systems
  Martina Fischetti, Emilio CARRIZOSA, Juan Miguel Morales
• Contributions of surrogate models and counterfactual explanations to marketplace blackbox audits
  Benoit Rottembourg, Jeanne Mouton, Jordan Thieyre
• Counterfactual Analysis and Target Setting in Benchmarking
  Dolores Romero Morales, Peter Bogetoft, Jasone Ramírez-Ayerbe

TB-27: Advances in Process Mining
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Jari Peeperkorn

• Balancing Realism and Simplicity: A Synthetic Dataset Approach for Comprehensive Model Benchmarking in Prescriptive Process Monitoring
  Jakob De Moor
• Approaches for multi-perspective trace clustering explainability
  Yannis Bertrand, Jochen De Weerdt, Estefanía Serral
• Introducing SuTraN: A Transformer-Based Encoder-Decoder Model for Enhanced Suffix Prediction in Business Process Monitoring
  Brecht Wuyts

TC-27: Mathematical Optimization for Trustworthy Machine Learning
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Connor Lawless

• Slowly varying regression under sparsity
  Vassilis Digalakis
• Improving pricing strategies on a branch-and-price algorithm for the hyper-rectangular clustering problem with axis-parallel clusters
  Diego Delle Donne, Javier Marenco, Eduardo Moreno
• An Optimization-Based Order-and-Cut Approach for Fair Clustering of Data Sets
  Hrayer Aprahamian
• Fair Minimum Representation Clustering
  Connor Lawless

TD-27: Feature attribution and selection for XAI
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Vanesa Guerrero

• Shapley value analysis for revealing molecular signature in Raman Spectra
  Marco Piazza, Enza Messina, Mauro Passacantando
• Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree
  Giulia Di Teodoro, Marta Monaci, Laura Palagi
• Feature Selection for Regression Neural Network using Mathematical Programming
  Georgios Liapis, Sophia Tsoka, Lazaros Papageorgiou
• Selecting variables in additive models as linear or non-linear terms
  Vanesa Guerrero, Manuel Navarro García, Maria Durban, Arturo del Cerro

WA-27: Learning Analytics using Mathematical Optimization and XAI
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Nidia Guadalupe Lopez Flores, María Óskarsdóttir, Anna Sigridur Islind

• Where am I in the course? Student-facing dashboard for Conceptual Modeling Education
  Elena Tiukhova, Charlotte Verbruggen, Tinne De Laet, Bart Baesens, Monique Snoeck
• Sequence mining algorithm for students failure classification in multiple blended courses scenarios
  Joaquín Roa, Cecilia Saint-Pierre, Thomas Peet
• A network-based recommender system to enhance learning in educational games
  Eva Ósk Gunnarsdóttir, Anna Ingólfsdóttir, Antonio Puron, María Óskarsdóttir, Sebastian Maldonado

WB-27: Unraveling the Black Box: Advances in Model Explainability
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Sandra Benítez-Peña

• An in-processing and optimization-based method for a fair geographical regression
  Pepa Ramirez Cobo
• Enhancing interpretability in Twin Support Vector Machines via variable selection
  Sandra Benítez-Peña
• Visualizing outliers in functional data with new versions of the epigraph and the hypograph indices
  Belén Pulido Bravo, Alba M. Franco-Pereira, Rosa Elvira Lillo Rodríguez
• Explaining hidden variable interactions inside a model: a comparison study between different methods.
  Pablo Morala, Jenny Alexandra Cifuentes Quintero, Rosa Elvira Lillo Rodríguez, Iñaki Ucar

WC-27: Machine Learning and Ensemble Learning with optimization methods
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Emilio CARRIZOSA, Sureyya Ozogur-Akyuz

• Conic Functions: Theory and Applications in Machine Learning
  Gurkan Ozturk, Emre Çimen, Zehra Kamisli Ozturk
• Machine-learning-based policy for the dynamic pricing of substitutable itineraries
  Yue Su, Axel Parmentier, Antoine Désir
• Interpretable Ensemble Learners for Explainable Business Analytics
  Eren Berk Aytac, Koen W. De Bock, Sureyya Ozogur-Akyuz
• Incremental Accelerated Hyperbolic Smoothing Clustering Method: Computational Results
  Adilson Elias Xavier, Vinicius Layter Xavier

WD-27: Machine Learning for and with Mathematical Optimization
Stream: Mathematical Optimization for XAI
Room: 047 (building: 208)
Chair(s): Cristina Molero-Río

• Contextual Stochastic Optimization using Mirror Progressive Hedging
  Luca Ferrarini, Louis Bouvier, Axel Parmentier, vincent leclere
• A data-based approach for solving the Rank Pricing Problem
  M. Asuncion Jimenez-Cordero, Salvador Pineda Morente, Juan Miguel Morales
• Hierarchical clustering with Mixed Integer Linear Optimization Models
  Lorena Nácher, Mercedes Landete, Marina Leal Palazón, Vanesa Guerrero, Martine Labbé
• On the optimization of risk scores for continuous predictors
  Cristina Molero-Río, Claudia D'Ambrosio