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A machine learning framework for interpretable predictions in patient pathways : the case of predicting ICU admission for patients with symptoms of sepsis

Zilker, Sandra; Weinzierl, Sven; Kraus, Mathias; … - In: Health care management science : a new journal serving … 27 (2024) 2, pp. 136-167

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A novel business process prediction model using a deep learning method

Mehdiyev, Nijat; Evermann, Joerg; Fettke, Peter - In: Business & information systems engineering 62 (2020) 2, pp. 143-157

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MindMiner : uncovering linguistic markers of mind perception as a new lens to understand consumer-smart object relationships

Hartmann, Jochen; Bergner, Anouk; Hildebrand, Christian - In: Journal of consumer psychology : JCP ; the official … 33 (2023) 4, pp. 645-667

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Forecasting corporate financial performance with deep learning and interpretable ALE method : evidence from China

Liang, Longyue; Liu, Bo; Su, Zhi; Cai, Xuanye - In: Journal of forecasting 43 (2024) 7, pp. 2540-2571

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The power of brand selfies

Hartmann, Jochen; Heitmann, Mark; Schamp, Christina; … - In: Journal of marketing research 58 (2021) 6, pp. 1159-1177

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FinBERT : a large language model for extracting information from financial text

Huang, Allen; Wang, Hui; Yang, Yi - In: Contemporary accounting research : the journal of the … 40 (2023) 2, pp. 806-841

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Guided Diverse Concept Miner (GDCM) : uncovering relevant constructs for managerial insights from text

Lee, Dokyun; Cheng, Zhaoqi; Mao, Chengfeng; Manzoor, Emaad - In: Information systems research : ISR 36 (2025) 1, pp. 370-393

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Machine learning applications to land and structure valuation

Mayer, Michael; Bourassa, Steven C.; Hoesli, Martin; … - In: Journal of Risk and Financial Management 15 (2022) 5, pp. 1-24

interpretability for some covariates while letting other covariates remain a "black box". An important example is hedonic property … practical applications that require greater interpretability. This problem can be resolved by certain structured additive … structure valuation, with very encouraging results regarding both interpretability and predictive performance. …

Persistent link: https://www.econbiz.de/10014332394

Neural networks for partially linear quantile regression

Zhong, Qixian; Wang, Jane-Ling - In: Journal of business & economic statistics : JBES ; a … 42 (2024) 2, pp. 603-614

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Price elasticity estimation for deep learning-based choice models : an application to air itinerary choices

Acuna-Agost, Rodrigo; Thomas, Eoin; Lhéritier, Alix - In: Journal of revenue and pricing management 20 (2021) 3, pp. 213-226

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