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

MA-28: 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: 065 (building: 208)
Chair(s): Gerhard-Wilhelm Weber, Olabode Adewoye

• Preventive maintenance for computerised tomography (CT) scan machines: an anomaly detection approach based on log-data.
  Felipe Maldonado
• Research on profit control strategies of remanufacturing supply chain considering dual sales effort
  Juhong Gao
• Learning Decision-Focused Surrogate for Decision-Dependent Problems with Samples
  Zhuojun Xie, Yiping Fang, Adam ABDIN
• Towards analyzing DNNs by robust adversarial examples created with MILPs
  Rónán Rian Carl Richter, Jörg Rambau

MB-28: 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: 065 (building: 208)
Chair(s): Olabode Adewoye, Gerhard-Wilhelm Weber, Nahid Jafari

• Production, pricing and transshipment control on a backlogging manufacturing system
  Jianjun Xu
• Efficient forecast via transfer learning
  Shumin Ma
• Estimated economic impact of model drift
  Andrew Clark
• Mixed-integer linear optimization for semi-supervised optimal classification trees
  Maria Eduarda Pinheiro, Jan Pablo Burgard, Martin Schmidt

MC-28: 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: 065 (building: 208)
Chair(s): Laura Albert, Gerhard-Wilhelm Weber

• Variable-size mixed-variable black-box optimization for central air conditioning configuration
  Shun Tanaka, Shiho WATANABE, Hiroshi Morita
• Detecting Drug Transfers via the Drop-off Method: A Supervised Model Approach using AIS Data
  Britt van Leeuwen, Maike Nutzel
• Designing small-scale coordination clusters for academic office space usage
  Paul Bouman, Wilco van den Heuvel
• Computable general equilibrium study of migration in Europe: the cases of Germany and Slovakia
  Veronika Mitkova

MD-28: 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: 065 (building: 208)
Chair(s): Laura Albert, Gerhard-Wilhelm Weber

• A hybrid resampling method for imbalanced classification problem
  You-Jin Park
• Context-aware processing rate guided production scheduling: a forecasting embedded branch-and-price heuristic method
  Yige Sun, Sai-Ho Chung, Tsan-Ming Choi
• The Sound of Emotions: An Artificial Intelligence Approach to Predicting Emotions from Musical Selections
  Ron Hirschprung, Ori Leshman, Chen Hajaj
• SynthEco: A digital system for analyzing multi-dimensional mechanisms of human behaviour in a multi-layered and dynamic geospatial environment
  Antonia Gieschen, Raja Sengupta, Duo Zhang, catherine paquet, Fares Belkhiria, Laurette Dubé

TA-06: Advancements of OR-analytics in statistics, machine learning and data science 12
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 1013 (building: 202)
Chair(s): Antonio Mauttone, Gerhard-Wilhelm Weber

• Spatial analysis techniques for diagnosis situational of low birth weight at term in the state of São Paulo
  Diego Eduardo Quagliato Scarelli Cava, Fernando Augusto Silva Marins, Elen Yanina Aguirre Rodríguez, Aneirson Silva, Elias Carlos Aguirre Rodríguez
• Classification for natural language processing
  Ioannis Tsiligkaridis
• Spatio-temporal analysis of variable-density clusters in hot spot policing
  Ben Moews
• Investigating fairness in decisions involving ordinal classification - A COVID-19 case study
  Edward Abel, Sajid Siraj

TA-28: Fairness and responsible AI
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 065 (building: 208)
Chair(s): Tatiana Gridchina, Mikhael Nediak, Yuri Levin, Shimanto Rahman

• Fair mixed effects support vector machine
  João Vitor Pamplona, Jan Pablo Burgard
• A generalized voting game for categorical network choices
  Yueh LIN, Stefano Nasini, Martine Labbé
• Enhancing B2B customer retention: a streamlined profit-driven approach using fairness-inspired pre-processing techniques
  Shimanto Rahman, Bram Janssens, Matthias Bogaert
• Analysing business intelligence adoption through natural language processing: a study of online customer testimonials
  Masoud Fakhimi, Ashkan Lotfipoor, Alex Hagen-Zanker

TB-06: Advancements of OR-Analytics in Statistics, Machine Learning and Data Science 13
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 1013 (building: 202)
Chair(s): Gordon Dash, Nina Kajiji, Gerhard-Wilhelm Weber

• Characterisation of robustness measures for complex networks under attacks
  Reetendra Singh, shivshanker singh patel
• Evidential reasoning-based inference of early-stage information propagation source in large-scale social networks
  Yu-wang Chen, Tao Wen
• Multi-armed bandits games
  Kemal Gursoy
• Diagnostic advancements: machine learning in identifying nontuberculous mycobacteria (NTM) in non-cystic fibrosis bronchiectasis (NCFBr) population
  Chen Hajaj

TB-28: 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: 065 (building: 208)
Chair(s): Hector Cancela, Gerhard-Wilhelm Weber

• How to improve accessories sales forecasting of a medium-sized Swiss enterprise? A comparison between statistical methods and machine learning algorithms
  Agneta Ramosaj, Nicolas Ramosaj, Marino Widmer
• How transport mode choices are influenced and what they mean for sustainable mobility: a data-driven study of the Asprela University Campus
  Sayeh Fooladi Mahani, Beatriz Brito Oliveira, Lia Patrício, Vera Miguéis, Maria Antónia Carravilla, José Fernando Oliveira
• The dynamic travelling salesman problem with time-dependent and stochastic travel times: a deep reinforcement learning approach
  Dawei Chen, Christina Imdahl, David Lai, Tom van Woensel
• Evaluating diversion and treatment policies for opioid use disorder
  Laura Albert

TC-06: Advancements of OR-analytics in statistics, machine learning and data science 14
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 1013 (building: 202)
Chair(s): Nina Kajiji, Gordon Dash, Gerhard-Wilhelm Weber

• A comparative study of large-margin strategies for Active Learning
  Annabella Astorino, Antonio Fuduli
• Utilising decision-making methods and online tools to accelerate sustainable renovation investments: Insights from a stakeholder engagement approach
  Aikaterini Papapostolou, Ioanna Andreoulaki, Vasilis Kotrogiannis, John Psarras
• Performance comparison of machine learning models in detecting the best-performing methods for the resource-constrained single-and multi-project scheduling problem
  Weikang Guo, Mario Vanhoucke, José Coelho
• Assignment optimization with decision-dependent completion times for trademark application evaluation
  Shabnam Kilic, Ozlem Karsu, Taghi Khaniyev

TC-28: 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: 065 (building: 208)
Chair(s): Adil Bagirov, Gerhard-Wilhelm Weber, Sona Taheri, İsmail Özcan

• Geometry and deep learning-based methods comparison for segmentation of trees in aerial laser scan point clouds
  Povilas Treigys, Kasparas Karlauskas
• The shortest path problem with path constraints
  Nan Xu, Zhang Miaomiao, Yicong Qin, Hao Zhang
• A framework for modelling view change in Byzantine fault-tolerance network
  Yifei Xie, Btissam Er-Rahmadi, Xiao Chen, Tiejun Ma, Jane Hillston
• Civil aviation route-planning method based on improved restricted searching area algorithm
  Zhang Miaomiao, Nan Xu

TD-06: Advancements of OR-analytics in statistics, machine learning and data science 15
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 1013 (building: 202)
Chair(s): Paul Harper, Jinal Parikh

• A methodology of predict-interpret-suggest for used car pricing
  Qihao Wu, Yong-Hong Kuo
• A network-based model for dynamic analysis of the banking sector
  Riccardo Bastianutti
• Source Condition Double Robust Inference on Functionals of Inverse Problems
  Nathan Kallus

TD-28: Advancements of OR-analytics in statistics, machine learning and data science 7
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 065 (building: 208)
Chair(s): Hector Cancela, Gerhard-Wilhelm Weber

• A new centrality measure for misinformation diffusion
  Safiye Şeyma Kaya Gezmiş, Zeynep Aksin, Barış Yıldız
• Limited memory bundle DC algorithm for sparse pairwise kernel learning
  Napsu Karmitsa, Kaisa Joki, Antti Airola, Tapio Pahikkala
• Beyond the Pearson’s correlation coefficient: a general-purpose measure for quantifying the dependency between random variables
  Rob van der Mei, Guus Berkelmans, Joris Pries, Sandjai Bhulai
• Data envelopment analysis with machine learning in healthcare efficiency: a prematurity study
  Fernando Marins, Elias Carlos Aguirre Rodríguez, Elen Yanina Aguirre Rodríguez, Diego Eduardo Quagliato Scarelli Cava, Luiz Fernando Costa Nascimento, Aneirson Francisco da Silva, Anderson Rodrigo de Queiroz

WA-06: Advancements of OR-analytics in statistics, machine learning and data science 16
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 1013 (building: 202)
Chair(s): Helper Zhou, Bruno Kamdem, Gerhard-Wilhelm Weber

• Applying multiple indicators to assess the relationship between finance and human factors
  Betül Kalaycı
• Identifying high-risk job advertisements on social media to help mitigate labour exploitation.
  Preeti Sharma, Mahnaz Hosseinzadeh, Sajid Siraj
• Employing artificial intelligence in healthcare: a systematic approach for the detection of mental disorders via social media analysis
  Qing Yin, Yunya Song, Xian Yang
• Stochastic scheduling in the presence of side data - case: surgery planning
  Ricardo Otero, Erik Demeulemeester

WA-28: Advancements of OR-analytics in statistics, machine learning and data science 8
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 065 (building: 208)
Chair(s): Sona Taheri, Adil Bagirov, Gerhard-Wilhelm Weber, İsmail Özcan

• Solving scheduling problems in real-time through deep learning methods
  Imanol Echeverria, Roberto Santana, Maialen Murua
• A network clustering model for multiple selection questions in opinion surveys
  Stefano Benati, Justo Puerto
• Refining the performance metrics and related mathematical operators for ordinal classification problems
  Sajid Siraj, Edward Abel
• Outranking hypercuboid learning approach for classification problems
  Nabil Belacel

WB-06: Advancements of OR-analytics in statistics, machine learning and data science 17
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 1013 (building: 202)
Chair(s): Nahid Jafari, Gerhard-Wilhelm Weber

• ESG factors driven asset management: a multi-layered approach for enhanced returns and risk mitigation
  Salah AYARI, Hayette Gatfaoui
• Integrated optimization of operations and capacity strategy for drayage procurement in first-mile & LCL container logistics
  George Vassos
• Resource-constrained transmission maintenance scheduling problem
  Amira Dems, Alain Côté, Mohamed Gaha, Quentin Cappart, Franklin Nguewouo

WB-28: Advancements of OR-analytics in statistics, machine learning and data science 9
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 065 (building: 208)
Chair(s): Milagros Baldemor, Gerhard-Wilhelm Weber

• Stochastic reoptimisation model for inventory management
  Zahra Namazian, John Betts, Peter Stuckey
• Natural gas demand forecasting in Mexico with machine learning algorithms to support making decision process during energy transition
  Sergio Ibarra, Aida Huerta-Barrientos
• Solving the two dimensional strip packing problem using reinforcement learning framework
  Fatih Burak Akcay, Maxence Delorme
• Prediction of exchange rate changes with monetary policy indexation of FOMC meeting minutes
  Jia-Hau Guo, Guan-Yu Lai

WC-06: Advancements of OR-analytics in statistics, machine learning and data science 18
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 1013 (building: 202)
Chair(s): Anand Subramanian, Kathryn E. Stecke

• Understanding the structure and dynamics of the global vaccine product trade network.
  Rui Zheng, Luis Ospina-Forero, Yu-wang Chen
• From docket to data: unpacking judicial congestion using process- and queue-mining
  Shany Azaria
• Integrating machine learning in measuring multidimensional energy poverty: new insights from a survey analysis in Europe
  Rahil dejkam, Reinhard Madlener
• An artificial neural networks model to production rate estimation of short and medium sized serial production lines
  Mehmet Ulaş KOYUNCUOĞLU

WC-28: Advancements of OR-analytics in statistics, machine learning and data science 10
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 065 (building: 208)
Chair(s): Jinal Parikh, Gerhard-Wilhelm Weber

• Greenhouse gases levels prediction using artificial neural networks
  Hugo Valadares Siqueira, Thiago Antonini Alves, Tiago Emmanuel Nunes Braga, Ricardo Godoi, Yara Tadano
• Forecasting mobile sources risks using artificial neural networks
  Thiago Antonini Alves, Hugo Valadares Siqueira, Tiago Emmanuel Nunes Braga, Deivdy Silva, Yago Honda, Yara Tadano
• Simulator-based surrogate optimisation: an enhanced framework for surrogate modelling and optimisation
  Yu Liu, Fabricio Oliveira
• Optimization with a multi-objective IRP model of the perishable supply chain for fast food restaurants, case of 3PL in Bogota D.C.
  JAVIER ENRIQUE MANTILLA ROSAS, Javier Arturo Orjuela Castro, Juan Pablo Orejuela Cabrera

WD-06: Advancements of OR-analytics in statistics, machine learning and data science 19
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 1013 (building: 202)
Chair(s): Elise del Rosario, Jinal Parikh

• How to compute confidence intervals for quasi-Monte Carlo estimators
  Pierre L'Ecuyer, Marvin K. Nakayama, Art B. Owen, Bruno Tuffin
• Bootstrap approach to quantifying uncertainty in index tracking and enhanced indexation
  Hakim Mezali
• Classification in a vector space with the infinity norm
  Milena Venkova, Seán McGarraghy

WD-28: Advancements of OR-analytics in statistics, machine learning and data science 11
Stream: Advancements of OR-analytics in statistics, machine learning and data science
Room: 065 (building: 208)
Chair(s): Antonio Mauttone, Gerhard-Wilhelm Weber

• Bayesian optimisation for facility location problems
  Niyati Seth, Michael Fop
• A hybrid genetic algorithm for non-regular flexible job shop arising from deconstruction applications
  Corentin Juvigny
• Electrical energy demand forecasting for Türkiye
  M. Mücahit DENK, Ceyda Oguz