Program for stream Analytics and Data Science

MB-12: Data Science and Optimization for Prescriptive Analytics
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Luis Aburto

• Machine Learning To Detect Feasibility in Vehicle Routing Problem
  Rodrigo Morán, Luis Aburto, Felipe Lago, Víctor Gonzalez
• Comparison of Machine Learning methods and Bayesian Hierarchical Model for estimation of elasticities and price optimization
  Xavier Zuazagoitía, Luis Aburto, Marcel Goic
• Using Quantile Forest for Prescriptive Scheduling of Astronomic Image Processing
  Luis Aburto, Rodrigo A. Carrasco, Alfredo Manuel De Rodt Sanchez, Gianfranco Speroni
• Creating pricing rules using a Support Vector approach for robust optimization
  ignacio sanchez, Luis Aburto

MB-14: Reinforcement Learning
Stream: Analytics and Data Science
Room: FENP207 (building FEN-UChile)
Chair(s): Sebastian Santana, Giorgiogiulio Parra

• Automation of a comminution plant through memory-based deep reinforcement learning
  Sebastian Santana
• Reinforcement Learning Applied to Dynamic Clustering
  Ignacio Carvajal, Richard Weber
• A reinforcement learning approach to design fire-resistant forest landscapes
  Tatiana Andrea Castillo Jaimes, Jaime Carrasco, Andrés Weintraub, Lucas Murray

MD-12: Advancements of OR-Analytics in Statistics, Machine Learning and Data Science 1
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Gerhard-Wilhelm Weber

• Semi-supervised clustering via nonsmooth optimization
  Sona Taheri
• Optimization models and algorithms for finding compact and separable clusters
  Adil Bagirov, Sona Taheri
• Machine learning and functional networks brain analysis with a low-cost EEG: Applying on training complex skills.
  Guadalupe Pascal, Julián E. Tornillo, Andrés Redchuk
• Using Shapley value-based estimation to explain the robustness curves for machine learning classifiers
  Sajid Siraj, Guilherme Pelegrina

MD-38: Deep Learning Applications
Stream: Analytics and Data Science
Room: FEN-A1 (building FEN-UChile)
Chair(s): Carla Vairetti

• Chilean confederations’ BERT latent topic modelling of social media: towards rejuvenating their discursive power.
  David Díaz, Daina Bellido de Lina, Carolina Martínez
• Optimal header-body combination for the classification of social media opinions using transformer-based deep learning.
  Alonso Leal, Carla Vairetti, Sebastian Maldonado
• Comparing LSTM, ARIMA, and MLP Models for Stock Price Prediction and Profitability in the IPSA Stock Market Index Components
  TOMAS CARLOS PEÑA VARGAS, David Díaz
• Dealing with noisy labels in text classification: an application in social security
  Carla Vairetti, Sebastian Maldonado, Richard Weber

ME-12: Machine Learning for Business Analytics
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Sebastian Maldonado

• Achieving Nonlinearity and Interpretability in Credit Scoring: The Penalised Tree Ensemble for Region Merging (PERM) Model
  Belen Martin Barragan, Rong Peng, Raffaella Calabrese, Jake Ansell
• Incorporating Usage Data for BtoB Churn Prediction Modeling
  Juliana Sanchez Ramirez, Kristof Coussement, Arno De Caigny, Dries Benoit, Lauren Waardenburg
• Debt collection models based on traditional and causal machine learning
  Catalina Sánchez, Sebastian Maldonado, Carla Vairetti
• An automated prioritization scheme for complaints and inquiries using transformer-based text classification and MCDM
  Sebastian Maldonado, Carla Vairetti, Alonso Leal, Juan Pablo Karmy, Ignacio Aránguiz

ME-38: Multidisciplinary Applications of Data Analytics
Stream: Analytics and Data Science
Room: FEN-A1 (building FEN-UChile)
Chair(s): Ramiro Saltos

• Location of emergency services for traffic accidents considering congestion: A case study of the metropolitan area of Puebla
  Ricardo Aceves-García, Zaida E Alarcón Bernal
• Generalized Black Hole Clustering for Earthquake Swarm Detection
  Ramiro Saltos, Richard Weber
• Optimization models for crime analytics applied to social networks
  Richard Weber, Alex Barrales-Araneda, Fredy Troncoso
• Benchmarking methods on different text classification tasks
  Manon Reusens, Jonathan Tonglet, Alexander Stevens, Johannes De Smedt, Wouter Verbeke, Seppe vanden Broucke, Bart Baesens

TB-12: Novel Developments in Machine Learning
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Julio López, Sebastian Maldonado

• A prescriptive analytics approach to staffing via hierarchical time series and stochastic optimization
  Juan Pablo Karmy, Juan Perez, Sebastian Maldonado, Carla Vairetti
• Comparing decision-focused learning and optimization under uncertainty in the decision-making process.
  Victor Bucarey
• The Cobb-Douglas Learning Machine
  Miguel Carrasco, Julio López, Sebastian Maldonado
• Formulations for classification problem based on minimax probability machine
  Julio López, Sebastian Maldonado, Miguel Carrasco

TB-14: Mathematical Optimization for XAI IV
Stream: Analytics and Data Science
Room: FENP207 (building FEN-UChile)
Chair(s): Jasone Ramírez-Ayerbe

• Contextual uncertainty sets in Robust Optimization
  Nuria Gómez-Vargas, Rafael Blanquero, Emilio CARRIZOSA
• Fairness in Bayesian Logistic Regression through Variational Inference
  Rafael Jiménez-Llamas, Emilio CARRIZOSA, Pepa Ramírez-Cobo
• Counterfactual Solutions Plans
  Emilio CARRIZOSA, Jasone Ramírez-Ayerbe, Dolores Romero Morales
• Counterfactual Analysis for Benchmarking: a bilevel optimization approach
  Jasone Ramírez-Ayerbe, Peter Bogetoft, Dolores Romero Morales

TD-12: Mathematical Optimization for XAI V
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Thomas Halskov

• Algorithm Selection: Learning for Spatial Branching
  Brais González Rodríguez, Bissan Ghaddar, Ignacio Gómez-Casares, Julio González-Díaz, Beatriz Pateiro-López, Sofía Rodríguez-Ballesteros
• Non-convex optimization methods for finding regret-minimization predictions
  Sophia Calderón Pimienta, Gonzalo Munoz, Victor Bucarey, Frédéric Semet
• Valuing Data Using Multi-Source Distributionally Robust Optimization
  Juan Miguel Morales, Robert Mieth
• Wasserstein SVM: Support Vector Machines Made Fair
  Thomas Halskov, Dolores Romero Morales, Emilio CARRIZOSA

TD-14: Mathematical Optimization for XAI VI
Stream: Analytics and Data Science
Room: FENP207 (building FEN-UChile)
Chair(s): Connor Lawless

• Fairness without Imputation: A Decision Tree Approach for Fair Prediction with Missing Values
  Haewon Jeong, Hao Wang, Flavio Calmon
• Interpretable Clustering with Constraints
  Eldan Cohen, Pouya Shati, Sheila McIlraith
• Explaining decisions in contextual stochastic optimization
  Alexandre Forel, Thibaut Vidal, Axel Parmentier
• Cluster Explanation Via Polyhedral Descriptions
  Connor Lawless, Oktay Gunluk

TE-12: Learning Analytics
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Sebastian Maldonado

• Investigating stability of student-at-risk prediction model across years by means of XAI
  Elena Tiukhova, Pavani Vemuri, Nidia Guadalupe Lopez Flores, Anna Sigríður Islind, María Óskarsdóttir, Stephan Poelmans, Bart Baesens, Monique Snoeck
• Engineering students' strategies and tactics observed through LMS interactions
  Sergio Celis, Esteban Villalobos, Juan Ross
• Data-driven dynamic predictive model, to assess the probability of students failing online/blended courses
  Cecilia Saint-Pierre, Thomas Peet, Galina Deeva, Richard Weber

TE-14: Advancements of OR-Analytics in Statistics, Machine Learning and Data Science 2
Stream: Analytics and Data Science
Room: FENP207 (building FEN-UChile)
Chair(s): Gerhard-Wilhelm Weber, Dolores Romero Morales

• Automatizing abstract screening in literature reviews
  Angel Ruiz, Julia Isabel Serrato Fonseca, Ana María Anaya-Arenas
• An exploratory study with roll rate analysis on current/checking account balance: is there an absorbing state of distress?
  Rui Ying Goh, Galina Andreeva, Yi Cao
• Graph neural network-based sparse aware recommendation system
  Dong Hyun Lim, So Young Sohn
• DyLoPro: Profiling the Dynamics of Event Logs
  Brecht Wuyts, Hans Weytjens, Jochen De Weerdt, Seppe vanden Broucke

HB-12: Advancements of OR-Analytics in Statistics, Machine Learning and Data Science 3
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Gerhard-Wilhelm Weber, Emilio CARRIZOSA

• Enhanced Terrain Classification: Supervised Autoencoder and Bayes Optimization Approach
  Tiny Du Toit, Hennie Kruger, Annette van der Merwe
• Evaluation of performance indicators based on Machine Learning models compared to traditional indicators to perform ICU efficiency analysis
  Igor Peres, Guilherme Ferrari, Amanda Quintairos e Silva, Vicente Dantas, Jorge Salluh
• Machine Learning Prediction of University Degree Dropout: Which role plays the student's preference?
  Marina Segura, Jorge Daniel Mello-Román, Adolfo Hernandez, Baldomero Segura
• Evaluating Time-Frequency Transforms in a CNN-based Algorithm for the Detection of Gravitational Waves from core-collapsed Supernovae
  Lucas Villavicencio, Benjamín Ramos Tapia, Patricio Maturana, Mauricio Moyano, Guillermo Cabrera-Guerrero

HB-14: Analytics in Retail
Stream: Analytics and Data Science
Room: FENP207 (building FEN-UChile)
Chair(s): Bárbara Díaz

• The Effect of Pregnancy and Childbirth on Consumption Behavior
  Veronica Diaz, Ricardo Montoya, Oded Netzer
• Synthetic control evaluation as a predictive tool for estimating the demand of new sellers in e-commerce platforms
  Bárbara Díaz, Luis Aburto, Felipe Lago, Diego Machado
• Applying machine learning in product categorization for e-commerce. A Latin American technology-based case study.
  Pablo B. Savian, Andrea G. Seminario, Milagros Tevez Sauco, Julián E. Tornillo, Guadalupe Pascal

HE-12: Predictive Analytics of Time Series
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Olga Usuga

• Predictive analytics for the remaining useful life of electric vehicle batteries
  Olga Usuga, Catherine Rincón, Carmen Patino-Rodriguez, Fernando Guevara, Freddy Hernandez
• Nowcasting GDP by prefecture using monthly data
  Nariyasu Yamasawa
• Time Series Forecast Model Accuracy and Validation: A Case Study
  Xin James He

FA-12: Risk Prediction
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Hector Cancela

• Uncertainty and scenario reduction in material resources allocation in the scheduling of offshore rigs: a machine learning approach
  Rachel Ventriglia, Leonardo S. L. Bastos, Luana Mesquita Carrilho, João Gabriel Gelli, Gabriela Ribas Klein, Guilherme Almeida
• Improving Bayesian Network Learning for Project Risk Management Using Deep Generative Models on Small Datasets
  Duvan Camilo David Higuita, Ken-ichi Suzuki
• Prediction of Rail Remaining Lifetime Using Machine Learning
  Rodrigo de Alvarenga Rosa, Gledson Rocha, Bruna Santos Neves
• Variance and computational effort of the Creation Spectrum and the F- Monte Carlo network reliability estimation methods
  Hector Cancela, Leslie Murray, Gerardo Rubino

FB-12: Analytics for Decision Making
Stream: Analytics and Data Science
Room: FENP201 (building FEN-UChile)
Chair(s): Mariko Ito

• Characteristics in point process of collective decision-making and group performance
  Mariko Ito
• Deep Contolled Learning for Inventory Control
  Tarkan Temizoz
• Data science for digital transformation: application and insights towards Industry 5.0
  Julián E. Tornillo, Guadalupe Pascal, Federico Walas Mateo, Andrés Redchuk
• One Analytical Framework of Societal Risk Transfer along the Event Evolution
  Xijin Tang, Zhihua Yan