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Program for stream Data Science and Analytics (contributed)
Sunday
Monday
Monday, 8:30-10:00
MA-28: Data Science and Analytics - Methodology III
Stream: Data Science and Analytics (contributed)
Room: Virtual Room 28
Chair(s):
Maeng Daeju
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Time Series Fault Detection and Diagnosis Using A Two-Stage Attention-Based Recurrent Neural Network in Copper Refining Manufacturing
Jae-Jin Yoo, Jun-Geol Baek, yunsung Moon, Kyesun Park -
Instance-dependent cost-sensitive learning: Do we really need it?
Toon Vanderschueren, Bart Baesens, Wouter Verbeke, Tim Verdonck -
Clustering-based representative multivariate time series creation
Gabor Tamas, Elisabeth Zehendner, David Schmaranzer, Emel Arikan, Gerald Reiner -
Masked-CNN : CNN-based Class Probability Correction using Mask Image
Maeng Daeju, Jun-Geol Baek
Monday, 10:30-12:00
MB-28: Data Science and Analytics - Methodology I
Stream: Data Science and Analytics (contributed)
Room: Virtual Room 28
Chair(s):
Cheolsoon Park
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Geometric multidimensional scaling for multidimensional data visualization
Gintautas Dzemyda, Martynas Sabaliauskas -
Redundancy in big data: towards a trade-off between convergence and performance
Christian Colot -
A machine learning approach to verify the effectiveness of multi-parameter evolutionary optimization algorithms
Christos-Georgios Xanthopoulos, Pantelis Lappas, Manolis Kritikos -
Improved Anomaly Scoring for Anomaly Detection Using Auto Encoder based Unsupervised Learning from Unlabeled Data
Cheolsoon Park, Jun-Geol Baek
Monday, 12:30-14:00
MC-28: Data Science and Analytics - Finance, efficiency and security
Stream: Data Science and Analytics (contributed)
Room: Virtual Room 28
Chair(s):
Nouri (Nourhan) Sakr
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Investment Efficiency Analysis of European Education and Health Sectors
Edo Omic, Etleva Gjonca -
Development of a data-driven application to depict the socioeconomic effects of transportation
Dimitrios Dimitriou, MARIA SARTZETAKI, Aristi Karagkouni -
Methods for reducing the number of alerts about fraudulent transactions in the bank
Kseniia Ilchenko -
Combinatorial Scheduling for Adaptive Machine Learning in Cybersecurity
Nouri (Nourhan) Sakr, Cynthia Phillips, Ojas Parekh, Clifford Stein
Monday, 14:30-16:00
MD-28: Data Science and Analytics - Applications in Marketing
Stream: Data Science and Analytics (contributed)
Room: Virtual Room 28
Chair(s):
Alicia Zanfrillo
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An aspect-based sentiment analysis system to analyze customers’ reviews from food and beverage opinion and review webpages
Anastasios Liapakis, Theodore Tsiligiridis, Constantine Yialouris, Constantina Kostopoulou -
Analysis of Customer Response Patterns in Direct Marketing Campaigns: A Gibbs Sampling Approach
Young H. Chun -
Configuration of the glocal responsibility profile with unsupervised learning techniques for value creation
Alicia Zanfrillo, Rebeca Yuan, Ezequiel Gribaudo, Victoria Leuci, Carola Sosa -
Liner health prediction using intelligent two-stage machine learning models
Sourav Bhunia, Shoban Babu Balasubramani, Tuhin Kanti Mondal
Tuesday
Tuesday, 10:30-12:00
TB-27: Data Science and Analytics - Applications 1
Stream: Data Science and Analytics (contributed)
Room: Virtual Room 27
Chair(s):
Monisha Bhattacharya
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Large-Scale Process Monitoring
Volker Kraft -
Hourly Temperature Data do not support the Views of the Climate Deniers, Sceptics, and Trivializers: Evidence from Barrow Alaska
Kevin Forbes -
Minimizing Bias in AI based recommender systems
Monisha Bhattacharya, Shantanu Biswas, Saikat Chakraborty, Gunjan Bansal
Tuesday, 12:30-14:00
TC-03: Data Science and Analytics - On site session
Stream: Data Science and Analytics (contributed)
Room: Bulding A, Room 3A
Chair(s):
Lisa Schetgen
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Does multiple periodicity exist within a trading activity?
Josip Arneric -
Forecasting the rail freight transport intensity on Corridor X
Milos Milenkovic, Natasa Milosavljevic, Bojovic Nebojsa, Dejan Lutovac -
Conceptualising the potential of big data analytics to facilitate discrete-event simulation modelling in smart mobility
Mario Jadric, Maja Cukusic -
Developing a detection and interpretation tool for rumors regarding COVID-19 on Twitter
Lisa Schetgen, Bram Janssens, Matthias Bogaert
Tuesday, 14:30-16:00
TD-54: Data Science and Analytics - Methodology II
Stream: Data Science and Analytics (contributed)
Room: Virtual Room 54
Chair(s):
Annabella Astorino
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Solving the Knapsack Problem Using Reinforcement Learning Techniques
Samuel Benford, Mohammad Dehghani -
Dynamic L1 Regression
Botan Citil -
A multi-sphere approach for Multiple Instance Learning classification
Matteo Avolio, Annabella Astorino, Antonio Fuduli -
Multiple Instance Learning by Polyhedral Approaches
Annabella Astorino, Matteo Avolio, Antonio Fuduli
Wednesday
Wednesday, 8:30-10:00
WA-27: Data Science and Analytics - Applications in Transportation
Stream: Data Science and Analytics (contributed)
Room: Virtual Room 27
Chair(s):
Luigi De Giovanni
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Route based Driving Range Prediction of Electric Vehicles by using Static and Dynamic Data
Hilal YILMAZ, Betul Yagmahan -
Maintenance Add-on to Logistics: Data fusion for a reduced logistics footprint
Dino Spirtovic, Rob Brink -
A Deep Imitation Learning Approach for Solving the E-commerce Box-Sizing Problem
Shanthan Kandula, Srikumar Krishnamoorthy, Debjit Roy -
Mining optimal trajectories for the Air Traffic Flow Management Problem
Luigi De Giovanni, Martino Echerle, Guglielmo Lulli
Wednesday, 10:30-12:00
WB-27: Data Science and Analytics - Applications 2
Stream: Data Science and Analytics (contributed)
Room: Virtual Room 27
Chair(s):
Seunghwan Song
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Contrastive CNN for Mixed-type Pattern Recognition with Single-type Pattern on Wafer Bin Maps
Yunseon Byun, Jun-Geol Baek -
Multitask learning for data-driven wind farm management and condition-based maintenance
Angela Meyer -
Prediction of Wet Bulb Globe Temperature using Machine Learning
CHANG LU, Yeboon Yun, Min Yoon -
Latent Mapping Adversarial Networks in Manufacturing Defect Synthesis
Seunghwan Song, Jun-Geol Baek