AIM Research Center on Quantitative Methods in AI-driven Business
Publications
« Towards Argumentative Multicriteria Reverse auctions »
Brigui-Chtioui, I., « Towards Argumentative Multicriteria Reverse auctions », Proceedings of the International Conference of Knowledge Management, Information and Knowledge Systems (KMIKS 2017), Hammamet, 2017.
Approximate NORTA simulations for virtual sample generation.Expert Systems with Applications, 73: 69-81 p.
Coqueret, Guillaume. 2017. Approximate NORTA simulations for virtual sample generation.Expert Systems with Applications, 73: 69-81 p.
An integrated data analysis of configurations of supply chain integration.
Liu, Jiawen, Zhang, Jinlong, , Gong, Yeming. 2018. An integrated data analysis of configurations of supply chain integration.Cluster Computing, FORTH
Enriching demand forecasts with managerial information to improve inventory replenishment decisions: exploiting judgment and fostering learning.
Rekik, Yacine, Glock, Christoph H., Syntetos, Aris. 2017. Enriching demand forecasts with managerial information to improve inventory replenishment decisions: exploiting judgment and fostering learning.European Journal of Operational Research, 261 (1): 182-194 p. Read...
« Intelligent digital learning : Agent-based recommender system »
Brigui-Chtioui, I., Caillou, P., Negre, E., « Intelligent digital learning : Agent-based recommender system », Proceedings of the International Conference on Machine Learning and Cybernetics, ICMLC 2017, Singapore, 2017
Travel time models for split-platform automated storage and retrieval systems.
Liu, Tian, Gong, Yeming, , de Koster, René . 2018. Travel time models for split-platform automated storage and retrieval systems.International Journal of Production Economics, 197: 197-214 p.
Bot-In-Time Delivery for Robotic Mobile Fulfillment Systems.
Yuan, Zhe, Gong, Yeming. 2017. Bot-In-Time Delivery for Robotic Mobile Fulfillment Systems.IEEE Transactions on Engineering Management, 64 (1): 83-93 p. Read more >
Machine learning in explaining nonprofit organizations’ participation: a driving factors analysis approach.
Gong, Zhanxue, Li, Zhanxue, , Liu, Jiawen, , Gong, Yeming. 2018. Machine learning in explaining nonprofit organizations’ participation: a driving factors analysis approach.Neural Computing and Applications, FORTH Read more >
The emergence of neuromarketing investigated through online public communications.
Levallois, Clément, Smidts, Ale, , Wouters, Paul. 2019. The emergence of neuromarketing investigated through online public communications (2002–2008).Business History, FORTH Read more >
Modelling (and learning from) inventory inaccuracies in e-retailing/B2B contexts.
Rekik, Yacine, Syntetos, Aris, , Glock, Christoph H.. 2019. Modelling (and learning from) inventory inaccuracies in e-retailing/B2B contexts. Decision Sciences, 50 (6): 1184-1223 p. Read more >
Automated flexible transfer line design problem: Sequential and reconfigurable stages with parallel machining cells.
He, Cong, Guan, Zailin, , Gong, Yeming, , Wang, Chuangjian, , Yue, Lei. 2019. Automated flexible transfer line design problem: Sequential and reconfigurable stages with parallel machining cells. Journal of Manufacturing Systems, 52 part A: 157-171 p. Read more >
A Financial Fraud Detection Indicator for Investors
Maillet, Bertrand, Bernard, Philippe, , El Mekkaoui de Freitas, Najat. 2019. A Financial Fraud Detection Indicator for Investors: An IDeA.Annals of Operations Research, FORTH Read more >
Optimal Design and Planning for Compact Automated Parking Systems.
Wu, Guangmei, Xu, Xianhao, , Gong, Yeming, , de Koster, René , , Zou, Bipan. 2019. Systems. European Journal of Operational Research, 273 (3): 948-967 p. Read more >
Machine learning for factor investing
Guillaume Coqueret and Tony Guida, Machine learning for factor investing - CRC Chapman Hall expected September 2020