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Deep learning of spatiotemporal patterns for urban mobility prediction using Big Data

Wang, Yun; Currim, Faiz; Ram, Sudha - In: Information systems research : ISR 33 (2022) 2, pp. 579-598

Persistent link: https://www.econbiz.de/10013363077

ROLEX : a novel method for interpretable machine learning using robust local explanations

Kim, Buomsoo; Srinivasan, Karthik; Kong, Sung Hye; Kim, … - In: MIS quarterly 47 (2023) 3, pp. 1303-1332

Persistent link: https://www.econbiz.de/10014422600

A comprehensive analysis of triggers and risk factors for asthma based on machine learning and large heterogeneous data sources

Zhang, Wenli; Ram, Sudha - In: MIS quarterly 44 (2020) 1, pp. 305-349

Persistent link: https://www.econbiz.de/10012203920

Shared Digital Twins : data sovereignty in logistics networks

Haße, Hendrik; van der Valk, Hendrik; Weißenberg, Norbert - In: Data science and innovation in supply chain management …, (pp. 763-795). 2020

Purpose: Digital Twins attract much attention in science and practice, because of their capability to integrate operational data from a wide variety of sources. Thus, providing a complete overview of an asset throughout its entire life cycle. This article develops and demonstrates a Digital...

Persistent link: https://www.econbiz.de/10012388156