| Optimised design of energy efficient building façades via evolutionary neural networks G Zemella, D De March, M Borrotti, I Poli Energy and Buildings 43 (12), 3297-3302, 2011 | 108 | 2011 |
| Neural networks to model the innovativeness perception of co-creative firms G Di Tollo, S Tanev, Z Ma Expert Systems with Applications 39 (16), 12719-12726, 2012 | 36 | 2012 |
| Evolutionary experiments for self-assembling amphiphilic systems M Forlin, I Poli, D De March, N Packard, G Gazzola, R Serra Chemometrics and Intelligent Laboratory Systems 90 (2), 153-160, 2008 | 30 | 2008 |
| Using online textual data, principal component analysis and artificial neural networks to study business and innovation practices in technology-driven firms G Di Tollo, S Tanev, G Liotta, D De March Computers in Industry 74, 16-28, 2015 | 19 | 2015 |
| Designing lead optimisation of MMP-12 inhibitors M Borrotti, D De March, D Slanzi, I Poli Computational and Mathematical Methods in Medicine 2014, 2014 | 18 | 2014 |
| Design of adaptive Elman networks for credit risk assessment M Corazza, D De March, G Di Tollo Quantitative Finance 21 (2), 323-340, 2021 | 10 | 2021 |
| An evolutionary predictive approach to design high dimensional experiments D De March, M FORLIN, D Slanzi, I Poli Artificial Life and Evolutionary Computation, 81-88, 2010 | 9 | 2010 |
| Response improvement in complex experiments by co-information composite likelihood optimization D Ferrari, M Borrotti, D De March Statistics and Computing 24, 351-363, 2014 | 8 | 2014 |
| Determining the relationship between co-creation and innovation by neural networks G di Tollo, S Tanev, KM Slim, D De March Complexity in Economics: Cutting Edge Research, 49-62, 2014 | 5 | 2014 |
| T‐optimality and neural networks: a comparison of approaches for building experimental designs R Berni, D De March, FM Stefanini Applied Stochastic Models in Business and Industry 29 (5), 454-467, 2013 | 5 | 2013 |
| Evolutionary algorithms for complex experimental designs D De March, D Slanzi, I Poli Simulation, 2009 | 5 | 2009 |
| Using online innovation metrics to cluster co-creative firms by SOMs D De March, G di Tollo, S Tanev ISPIM Conference Proceedings, 1, 2012 | 3 | 2012 |
| Statistical models for high dimensional data: selection and assessment D De March | 3 | 2011 |
| Probabilistic graphical models in high dimensional systems D Slanzi, D De March, I Poli Simulation, 557-560, 2009 | 3 | 2009 |
| Evolutionary probabilistic graphical models in high dimensional data analysis D Slanzi, D De March, I Poli European Regional Meeting of the International Society for Business and …, 2009 | 3 | 2009 |
| Bayesian networks for high dimensional experiments D Slanzi, I Poli, D De March, M Forlin Working paper 20, European centre for living technology, Venice, workshop on …, 2008 | 3 | 2008 |
| A predictive approach based on neural network models for building automation systems D De March, M Borrotti, L Sartore, D Slanz, L Podestà, I Poli Advances in Neural Networks: Computational and Theoretical Issues, 253-262, 2015 | 2 | 2015 |
| Qualitative particle swarm optimization (q-pso) for energy-efficient building designs D Slanzi, M Borrotti, D De March, D Orlando, S Giove, I Poli Advances in Artificial Life and Evolutionary Computation: 9th Italian …, 2014 | 2 | 2014 |
| Agent-Based Model to Simulate Groundwater Remediation with Nanoscale Zero Valent Iron D De March, A Filisetti, E Sartorato, E Argese Cellular Automata: 10th International Conference on Cellular Automata for …, 2012 | 1 | 2012 |
| A Predictive Evolutionary Approach to Design Biochemical Experiments M Forlin, D De March, D Slanzi, I Poli Risk and Prediction, 2007 | 1 | 2007 |
