| A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices M Khoroshiltseva, D Slanzi, I Poli Applied energy 184, 1400-1410, 2016 | 134 | 2016 |
| Rising damp in historical buildings: A Venetian perspective L Falchi, D Slanzi, E Balliana, G Driussi, E Zendri Building and Environment 131, 117-127, 2018 | 40 | 2018 |
| Multi-scenario analysis in the Adriatic Sea: A GIS-based Bayesian network to support maritime spatial planning E Furlan, D Slanzi, S Torresan, A Critto, A Marcomini Science of the Total Environment 703, 134972, 2020 | 39 | 2020 |
| Do natural proteins differ from random sequences polypeptides? Natural vs. random proteins classification using an evolutionary neural network D De Lucrezia, D Slanzi, I Poli, F Polticelli, G Minervini PLoS One 7 (5), e36634, 2012 | 31 | 2012 |
| Massive non-natural proteins structure prediction using grid technologies G Minervini, G Evangelista, L Villanova, D Slanzi, D De Lucrezia, I Poli, ... Bmc Bioinformatics 10, 1-9, 2009 | 28 | 2009 |
| Local stakeholders’ narratives about large-scale urban development: The Zhejiang Hangzhou future Sci-Tech City V Anzoise, D Slanzi, I Poli Urban Studies 57 (3), 655-671, 2020 | 27 | 2020 |
| Detection of volatile metabolites of moulds isolated from a contaminated library A Micheluz, S Manente, M Rovea, D Slanzi, GC Varese, G Ravagnan, ... Journal of microbiological methods 128, 34-41, 2016 | 24 | 2016 |
| Designing Lead Optimisation of MMP‐12 Inhibitors M Borrotti, D De March, D Slanzi, I Poli Computational and Mathematical Methods in Medicine 2014 (1), 258627, 2014 | 18 | 2014 |
| The relationship between brand constructs and motivational patterns in crowdfunding decisions. Evidence from university crowdfunding F Fortezza, F Checchinato, D Slanzi Management Research Review 46 (4), 557-578, 2023 | 13 | 2023 |
| Evolutionary Bayesian Network design for high dimensional experiments D Slanzi, I Poli Chemometrics and Intelligent Laboratory Systems 135, 172-182, 2014 | 11 | 2014 |
| 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 |
| Using Twitter data to monitor political campaigns and predict election results S Fano, D Slanzi Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection-15th …, 2018 | 8 | 2018 |
| Querying Bayesian networks to design experiments with application to 1AGY serine esterase protein engineering D Slanzi, D De Lucrezia, I Poli Chemometrics and Intelligent Laboratory Systems 149, 28-38, 2015 | 7 | 2015 |
| On using Bayesian networks for complexity reduction in decision trees A Brogini, D Slanzi Statistical Methods and Applications 19, 127-139, 2010 | 6 | 2010 |
| Le determinanti della valutazione della didattica attraverso il parere degli studenti S Campostrini, L Bernardi, D Slanzi Dottor DIVAGO, Discernere, valutare e governare la nuova universitÃ, 102-122, 2008 | 6 | 2008 |
| Optimization of sustainable, NaCl-resistant and water-repellent renders through evolutionary experimental design L Falchi, D Slanzi, L Speri, I Poli, E Zendri Construction and Building Materials 147, 876-889, 2017 | 5 | 2017 |
| Combining probabilistic dependency models and particle swarm optimization for parameter inference in stochastic biological systems M Forlin, D Slanzi, I Poli Proceedings of the 2011 2nd International Congress on Computer Applications …, 2012 | 5 | 2012 |
| Evolutionary algorithms for complex experimental designs D De March, D Slanzi, I Poli Simulation, 2009 | 5 | 2009 |
| Reducing dimensionality in molecular systems: a Bayesian non-parametric approach V Mameli, N Lunardon, M Khoroshiltseva, D Slanzi, I Poli Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry …, 2017 | 4 | 2017 |
| Artificial Life and Evolutionary Computation. M Pelillo, I Poli, A Roli, R Serra, D Slanzi, M Villani Communications in Computer and Information Science 830, 2018 | 3 | 2018 |
