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Risk profiling from the European statistics on accidents at work (ESAW) accidents′ databases. A case study in construction sites

pubblicato su: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH - 2019

Lombardi M., Fargnoli M., Parise G.

Predicting lorawan behavior. How machine learning can help

pubblicato su: COMPUTERS - 2020

Cuomo F., Garlisi D., Martino A., Martino A.

A Clustering approach for profiling LoRaWAN IoT devices

pubblicato su: Ambient Intelligence. AmI 2019. - 2019

Valtorta Jacopo Maria, Martino Alessio, Cuomo Francesca, Garlisi Domenico

Efficient approaches for solving the large-scale k-medoids problem: Towards structured data

pubblicato su: Computational Intelligence - 2019

Martino Alessio, Rizzi Antonello, Frattale Mascioli Fabio Massimo

Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction

pubblicato su: SOFT COMPUTING - 2020

Di Noia Antonio., Martino Alessio., Montanari Paolo., Rizzi Antonello

Efficient approaches for solving the large-scale k-medoids problem

pubblicato su: - 2017

Martino Alessio, Rizzi Antonello, Frattale Mascioli Fabio Massimo

HELLS and CDCA7 comprise a bipartite nucleosome remodeling complex defective in ICF syndrome

pubblicato su: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA - 2018

Jenness C., Giunta S., Muller M. M., Kimura H., Muir T. W., Funabiki H.

Computational Architecture of the Parieto-Frontal Network Underlying Cognitive-Motor Control in Monkeys

pubblicato su: ENEURO - 2017

Caminiti Roberto, Borra Elena, VISCO COMANDINI Federica, BATTAGLIA MAYER Alessandra, Averbeck Bruno B, Luppino Giuseppe

Riding the adolescence. personality subtypes in young moped riders and their association with risky driving attitudes and behaviors

pubblicato su: FRONTIERS IN PSYCHOLOGY - 2019

Lucidi Fabio, Mallia Luca, Giannini Anna Maria, Sgalla Roberto, Lazuras Lambros, Chirico Andrea, Alivernini Fabio, Girelli Laura, Violani Cristiano

Cluster analysis of microclimate data to optimize the number of sensors for the assessment of indoor environment within museums

pubblicato su: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL - 2018

Siani Anna Maria, Frasca Francesca, Di Michele Marta, Bonacquisti Valerio, Fazio Eugenio

The relationship between maladaptive personality functioning and problematic technology use in adolescence: a cluster analysis approach

pubblicato su: SCANDINAVIAN JOURNAL OF PSYCHOLOGY - 2020

Amendola Simone, Spensieri Valentina, Biuso Giuseppe Stefano, Cerutti Rita

Profiling the acute effects of modified risk products. Evidence from the SUR-VAPES (Sapienza University of Rome-Vascular Assessment of Proatherosclerotic Effects of Smoking) cluster study

pubblicato su: CURRENT ATHEROSCLEROSIS REPORTS - 2020

Frati G., Carnevale R., Nocella C., Peruzzi M., Marullo A. G. M., De Falco E., Chimenti I., Cammisotto V., Valenti V., Cavarretta E., Carrizzo A., Versaci F., Vitali M., Protano C., Roever L., Giordano A., Sciarretta S., Biondi-Zoccai G.

Exploring how innovation strategies at time of crisis influence performance: a cluster analysis perspective

pubblicato su: TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT - 2018

Ausloos Marcel, BARTOLACCI FRANCESCA, CASTELLANO NICOLA GIUSEPPE, CERQUETI ROY

fclust: An R Package for Fuzzy Clustering

pubblicato su: THE R JOURNAL - 2019

Ferraro MARIA BRIGIDA, Giordani Paolo, Serafini Alessio

A Mean Field Games model for finite mixtures of Bernoulli and categorical distributions

pubblicato su: JOURNAL OF DYNAMICS AND GAMES - 2021

Aquilanti Laura, Cacace Simone, Camilli Fabio, De Maio Raul

Chemometric Approach to a Rapid Attenuated Total Reflection Fourier Transform Infrared Analysis of Complex Heroin-Based Mixtures

pubblicato su: APPLIED SPECTROSCOPY - 2020

Stevanović Nataša Radosavljević, Jovanović Milena, Marini Federico, Ražić Slavica

Heterogeneity in the demand-growth relationship at the firm level. The role of demand sources and innovation/knowledge characteristics

pubblicato su: ECONOMICS OF INNOVATION AND NEW TECHNOLOGY - 2020

Caravella Serenella., Crespi Francesco, Guarascio Dario, Tubiana Matteo

Forest ecological heterogeneity determines contrasting relationships between crown defoliation and tree diversity

pubblicato su: FOREST ECOLOGY AND MANAGEMENT - 2019

Iacopetti Giovanni, Bussotti Filippo, Selvi Federico, Maggino Filomena, Pollastrini Martina

Linking forest diversity and tree health: preliminary insights from a large-scale survey in Italy

pubblicato su: FOREST ECOSYSTEMS - 2018

Bussotti Filippo, Feducci Matteo, Iacopetti Giovanni, Maggino Filomena, Pollastrini Martina, Selvi Federico

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