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agostino.diciaccio@uniroma1.it
Agostino Di Ciaccio
Professore Ordinario
Struttura:
DIPARTIMENTO DI SCIENZE STATISTICHE
E-mail:
agostino.diciaccio@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Optimal coding of high-cardinality categorical data in machine learning
Statistical Models and Methods for Data Science
2023
Old and New Perspectives on Optimal Scaling
Analysis of Categorical Data from Historical Perspectives – Essays in Honour of Shizuhiko Nishisato
2023
Optimal Coding of Categorical Data in Machine Learning
Studies in Classification, Data Analysis and Knowledge Organization
2022
Multi-input deep Neural Networks to Estimate Population from Satellite Imagery
Abstracts of Conference of European Statistics Stakeholders 2022
2022
Prevalence and features of delirium in older patients admitted to rehabilitation facilities: a multicenter study
AGING CLINICAL AND EXPERIMENTAL RESEARCH
2022
Deep Learning to Jointly Analyze Images and Clinical Data for Disease Detection
Studies in Classification, Data Analysis, and Knowledge Organization
2021
Neural Networks for high cardinality categorical data
Cladag 2021, Book of Abstracts and Short Papers
2021
Deep learning to jointly analyze images and clinical data for disease detection
Studies in Classification, Data Analysis and Knowledge Organization
2020
Categorical Encoding for Machine Learning
2020
AI APPLICATIONS IN THE BUILDING PROCESS
The human dimension of building energy performance
2019
An application of deep learning to chest disease detection using images and clinical data
Statistical evaluation sistems at 360°: techniques, technologies and new frontiers.
2019
INSOLVENCY PREDICTION ANALYSIS OF ITALIAN SMALL FIRMS BY DEEP LEARNING
INTERNATIONAL JOURNAL OF DATA MINING AND KNOWLEDGE MANAGEMENT PROCESS
2019
CLASSIFY X-RAY IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
CLADAG 2019 Book of Short Papers
2019
Insolvency prediction by deep learning
Statistics and Data Science - New developments for business and industrial applications
2018
The internship programme for EMOS students: a structured approach
New Techniques and Technologies for Statistics 2017
2017
Deep learning for supervised classification
RIVISTA ITALIANA DI ECONOMIA, DEMOGRAFIA E STATISTICA
2016
La statistica nell'era dei big-data
2016
Statistics in the Big Data era
RIVISTA ITALIANA DI ECONOMIA, DEMOGRAFIA E STATISTICA
2016
Ensemble Learning for Classification
2015
Missing data imputation by Multitree
2015
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