Program for stream Advancements of OR-analytics in statistics, machine learning and data science

MD-34: Advancements of OR-analytics in statistics, machine learning and data science 1
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: Michael Sadler LG10
Chair(s): Bruno Kamdem, Sadia Samar Ali, Gerhard-Wilhelm Weber

• A cluster impurity‑based hybrid resampling for imbalanced classification problems
  You-Jin Park
• An Ensemble-Based Machine Learning Approach to Increase the Robustness of Forecast Combination Weights
  Veronika Wachslander, Thomas Setzer
• Analyzing and Visualizing Job Skill Requirements on Job Search Websites
  Li-Ching Ma, Cheng-Syuan Lin
• Exact and Heuristic Solution Approaches for Clustering with Localized Feature Selection
  Cem Iyigün, Sinan Gürel, Gozdenur Buyuk

TA-34: Advancements of OR-analytics in statistics, machine learning and data science 2
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: Michael Sadler LG10
Chair(s): Helper Zhou, Dolores Romero Morales, Gerhard-Wilhelm Weber

• Stratified Treatment Optimization under Partial Observation Scarcity across Patient Subgroups
  Haiyan Yu
• AI-Driven Primal-Dual Optimization for Solving European Option Pricing Model
  Snehashish Chakraverty, Bhubaneswari Mishra
• Privacy-Preserving Resource Allocation: Near-Optimal Algorithms and Public Policy Implications
  Du Chen, Geoffrey A. Chua, Victor Jose
• Deep Reinforcement Learning for Multi-Echelon Inventory Management with Markov-Modulated Demand, Lead Times, and Transshipment Crossing
  Fatemeh Fakhredin, Joern Meissner

TB-34: Advancements of OR-analytics in statistics, machine learning and data science 3
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: Michael Sadler LG10
Chair(s): Achal Goyal

• OR - More Than Just Optimisation
  Joseph Brennan, Jon McLoone
• Neural Network Optimization using Evolutionary Computation
  Ioannis Tsiligkaridis
• Efficient Usage of Machine Learning-Based Approaches to Improve the Solvability of Linear Programming Problems
  Ronit Neogy, Jitamitra Desai
• Joint Issuing and Replenishment for Perishable Products Using Deep Reinforcement Learning
  Achal Goyal, Vinay Reddy

TC-34: Advancements of OR-analytics in statistics, machine learning and data science 4
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: Michael Sadler LG10
Chair(s): Olabode Adewoye, Cem Iyigün, Gerhard-Wilhelm Weber

• Risk Assessment of Condition-Based Maintenance Contracts
  Stijn Loeys, Melvin Drent, Robert Boute, Collin Drent, Katrien Antonio
• Spatial-Temporal Prediction Models and Grid Resilience Study Using National-Scale Electricity Outage Datasets
  Feng Qiu
• An interpretable machine learning approach to day-ahead extreme electricity price forecast with imbalanced data
  Jingchuan Ma, Yu-wang Chen, Fanlin Meng
• Value-oriented forecast reconciliation for renewables in electricity markets
  Honglin Wen, Pierre Pinson

TD-34: Advancements of OR-analytics in statistics, machine learning and data science 5
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: Michael Sadler LG10
Chair(s): Jinal Parikh, R. M. Kazakov, Gerhard-Wilhelm Weber, Emilio CARRIZOSA

• How LLM Reshaped Complex OR Problem Solving?
  YUAN WANG
• A Mathematical Programming Approach to Hierarchical Clustering
  Lavinia Amorosi, Justo Puerto, Carlos Valverde
• Optimizing ICU Operations with Digital Twins and Machine Learning: Enhancing Decision-Making and Resource Management
  Margarida Parrado, Luís Lapão
• On Recommender Methods in E-Learning
  Alejandro Fuster-Lopez, Jesús Martínez Cruz, Pablo Guerrero-García, Eligius M.T. Hendrix

WA-34: Advancements of OR-analytics in statistics, machine learning and data science 6
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: Michael Sadler LG10
Chair(s): Roberto Rossi, Soumen Kumar Das, Gerhard-Wilhelm Weber

• Robust Product Recommendations via Graph-Driven Co-Occurrence Analysis and Adaptive User Clustering
  Serhat Mirkan Acar, ATAKAN YILMAZ, Egemen Karabiyik
• Enhanced Behavioral Weighting and Explainable Clustering for Adaptive Recommendation Systems
  ATAKAN YILMAZ, Serhat Mirkan Acar, Egemen Karabiyik
• From Raw Data To Real Impact: Unlocking Efficiencies for Prisoner Rehabilitation with Data Science, ML and OR
  Roger Brown
• Alternating Minimization for Least Square Estimation in Additive Semi-parametric Regression with Monotone Constraints
  Anand Kumar, Radhenduska Srivastava, K. S. Mallikarjuna Rao

WB-34: Theory of Knowledge, Technology, and Innovation
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: Michael Sadler LG10
Chair(s): Januj Juneja, A. D. Amar

• Grow Organically or Through Acquisition to Create Value for the Firm
  A. D. Amar, Januj Juneja
• What Explains the Use of Business Analytics? A Comprehensive Analysis of the Ability, Opportunity, and Motivation of Firms’ Use of Business Analytics
  Bernd Brandl, Gokce Basbug, Barbara Bechter, Ulrike Leopold-Wildburger
• Building a RAG pipeline from scratch
  Hisham Taj, Alice Saunders
• Integration of Support Vector Machines and Mean-Variance Optimization
  Roy Kwon

WC-34: Business Applications of Knowledge and Technology
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: Michael Sadler LG10
Chair(s): A. D. Amar

• Learning Primal Heuristics for 0-1 Knapsack Interdiction Problems
  Luca Ferrarini, Stefano Gualandi, Axel Parmentier
• Evaluating traditional ML models in predicting uncertainty of real estate prices
  Jose A. Rodriguez-Serrano
• Identification of Circadian Cycle Disruptors in Night Shift Workers Using Machine Learning Models
  Karen Nino, Julián Calixto, Sepideh Abolghasem, Dagoberto Castillo

WD-34: Applications of Knowledge Work Technology
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: Michael Sadler LG10
Chair(s): A. D. Amar

• Adapting a DFGSP Algorithm to Maximize Knowledge Worker Satisfaction
  Januj Juneja, A. D. Amar
• Optimizing Workforce Allocation with Evolutionary Artificial Intelligence: A Case Study in Intelligent Job Scheduling
  Abimbola Falodu, Alina Patelli, Aniko Ekart, Charlotte Burton
• Systematic Literature Review of Validation and Verification of Simulation Models in Business and Manufacturing using Topic Modelling and Scientometric Analysis
  Deepesh Gotherwal, Pritam Ranjan
• Designing the Information Entropy Performance Indicator (IEPI): A DSRM-Based Approach to Managing Process Uncertainty in Business Operations
  Apostolos Mouzakitis, Anastasios Liapakis