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2010 – 2019
- 2015
[j4]Giacomo di Tollo, Stoyan Tanev, Giacomo Liotta, Davide De March:
Using online textual data, principal component analysis and artificial neural networks to study business and innovation practices in technology-driven firms. Comput. Ind. 74: 16-28 (2015)- [p1]Davide De March, Matteo Borrotti, Luca Sartore, Debora Slanzi
, Lorenzo Podestà, Irene Poli:
A Predictive Approach Based on Neural Network Models for Building Automation Systems. Advances in Neural Networks 2015: 253-262 - 2014
- [j3]Matteo Borrotti, Davide De March, Debora Slanzi, Irene Poli:
Designing Lead Optimisation of MMP-12 Inhibitors. Comput. Math. Methods Medicine 2014: 258627:1-258627:8 (2014) - [j2]Davide Ferrari, Matteo Borrotti, Davide De March:
Response improvement in complex experiments by co-information composite likelihood optimization. Stat. Comput. 24(3): 351-363 (2014) - [c2]Debora Slanzi, Matteo Borrotti, Davide De March, Daniele Orlando, Silvio Giove, Irene Poli:
Qualitative Particle Swarm Optimization (Q-PSO) for Energy-Efficient Building Designs. WIVACE 2014: 13-25 - 2012
- [j1]Giacomo di Tollo, Stoyan Tanev, Davide De March, Zheng Ma:
Neural Networks to model the innovativeness perception of co-creative firms. Expert Syst. Appl. 39(16): 12719-12726 (2012) - [c1]Davide De March, Alessandro Filisetti, Elisabetta Sartorato, Emanuele Argese:
Agent-Based Model to Simulate Groundwater Remediation with Nanoscale Zero Valent Iron. ACRI 2012: 351-359
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