Search Results - subject:"multitask"

ESG Metrics in management compensation systems : an agency theory perspective

Ewert, Ralf; Wagenhofer, Alfred - In: Swiss journal of business 79 (2025) 1, pp. 13-26

With growing public and policy-makers' attention to en vironmental, social, and governance (ESG) disclosures, a natural question is how management compensation systems should include ESG metrics. This paper selectively reviews and discusses insights from agency theory on the design of optimal...

Persistent link: https://www.econbiz.de/10015442988

Advancing loss reserving : a hybrid neural network approach for individual claim development prediction

Schneider, Judith Christiane; Schwab, Brandon - In: The journal of risk & insurance 92 (2025) 2, pp. 389-423

Persistent link: https://www.econbiz.de/10015472097

Flow shop scheduling with inter-stage flexibility and blocking constraints

Nicosia, Gaia; Pacifici, Andrea; Pferschy, Ulrich; … - In: Computers & operations research : an international journal 184 (2025), pp. 1-20

Persistent link: https://www.econbiz.de/10015519598

Mortality forecasting via multi-task neural networks

De Mori, Luca; Haberman, Steven; Millossovich, Pietro; … - In: ASTIN bulletin : the journal of the International … 55 (2025) 2, pp. 313-331

Persistent link: https://www.econbiz.de/10015450035

MaaSformer-MMOE: multi-task transformer under mixture-of-experts framework for MaaS bundle customization

Xi, Haoning; Shao, Zhiqi; Hensher, David A.; Nelson, John D. - 2025

Persistent link: https://www.econbiz.de/10015331315

Optimal degree of remote work

Bertram, Justus; Ruhnke, Carsten S.; Schöndube, Jens Robert - 2024

As a new work style remote work has become an increasingly important factor for firms and their employees. Employees potentially benefit from a higher flexibility when working remotely. Firms can make use of this non-financial benefit to increase their attractiveness on the job market and to...

Persistent link: https://www.econbiz.de/10014540030

Sequential sentence classification in research papers using cross-domain multi-task learning

Brack, Arthur; Entrup, Elias; Stamatakis, Markos; … - In: International Journal on Digital Libraries 25 (2024) 2, pp. 377-400

suggest a novel uniform deep learning architecture and multi-task learning for cross-domain sequential sentence classification … learning and multi-task learning. (3) We compare the results of the two best models using qualitative examples in a case study … k -means clustering. (5) Our comprehensive experimental results indicate that when using the proposed multi-task …

Persistent link: https://www.econbiz.de/10015358803

Incrementality representation learning : synergizing past experiments for intervention personalization

Huang, Ta-Wei; Ascarza, Eva; Israeli, Ayelet - 2024

Persistent link: https://www.econbiz.de/10014556605

Multi-task forecasting of the realized volatilities of agricultural commodity prices

Gupta, Rangan; Pierdzioch, Christian - 2024

Persistent link: https://www.econbiz.de/10014553246

Evidence on quality spillovers from speed enhancing policies in the workplace

Hill, Alexandra; Beatty, Timothy K. M. - In: Economic inquiry 62 (2024) 4, pp. 1520-1538

Persistent link: https://www.econbiz.de/10015123784