Explainable Analytics for Operational Research

被引:0
|
作者
De Bock, Koen W. [1 ]
Coussement, Kristof [2 ]
De Caigny, Arno [2 ]
机构
[1] Audencia Business Sch, 8 Route Joneliere, F-44312 Nantes, France
[2] Univ Lille, IESEG Sch Management, CNRS, UMR 9221,LEM Lille Econ Management, 3 Rue Digue, F-59000 Lille, France
关键词
D O I
10.1016/j.ejor.2024.04.015
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
引用
收藏
页码:243 / 248
页数:6
相关论文
共 50 条
  • [31] Explainable Deep Learning: A Visual Analytics Approach with Transition Matrices
    Radiuk, Pavlo
    Barmak, Olexander
    Manziuk, Eduard
    Krak, Iurii
    MATHEMATICS, 2024, 12 (07)
  • [32] explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning
    Spinner, Thilo
    Schlegel, Udo
    Schaefer, Hanna
    El-Assady, Mennatallah
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2020, 26 (01) : 1064 - 1074
  • [33] Explainable subgradient tree boosting for prescriptive analytics in operations management
    Notz, Pascal M.
    Pibernik, Richard
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 312 (03) : 1119 - 1133
  • [34] Explainable expected goal models for performance analysis in football analytics
    Cavus, Mustafa
    Biecek, Przemyslaw
    2022 IEEE 9TH INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA), 2022, : 947 - 955
  • [35] Explainable spatially explicit geospatial artificial intelligence in urban analytics
    Liu, Pengyuan
    Zhang, Yan
    Biljecki, Filip
    ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE, 2024, 51 (05) : 1104 - 1123
  • [36] The Synergy of Explainable AI and Learning Analytics in Shaping Educational Insights
    Mohammed, Belghachi
    IAENG International Journal of Computer Science, 2024, 51 (09) : 1355 - 1366
  • [37] Telecom traffic pumping analytics via explainable data science
    Irarrazaval, Maria Elisa
    Maldonado, Sebastian
    Perez, Juan
    Vairetti, Carla
    DECISION SUPPORT SYSTEMS, 2021, 150
  • [38] EventAction: A Visual Analytics Approach to Explainable Recommendation for Event Sequences
    Du, Fan
    Plaisant, Catherine
    Spring, Neil
    Crowley, Kenyon
    Shneiderman, Ben
    ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS, 2019, 9 (04)
  • [39] eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics
    Vaccari, Ivan
    Carlevaro, Alberto
    Narteni, Sara
    Cambiaso, Enrico
    Mongelli, Maurizio
    IEEE ACCESS, 2022, 10 : 83949 - 83970
  • [40] A Conceptual Framework for HPC Operational Data Analytics
    Netti, Alessio
    Shin, Woong
    Ott, Michael
    Wilde, Torsten
    Bates, Natalie
    2021 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER 2021), 2021, : 596 - 603