Davide Ballabio

发表

A Dynamic MOLMAP approach for pattern classification in three-way data

Mahdi Vasighi, M Talebi, Davide Ballabio, 2018 .

Evaluation of model predictive ability by external validation techniques

Davide Ballabio, Roberto Todeschini, Viviana Consonni, 2010 .

Data for: Deep Ranking Analysis by Power Eigenvectors (DRAPE): a polypharmacology case study

Davide Ballabio, Viviana Consonni, Cecile Valsecchi, 2020 .

Comparison of approaches to define Applicability Domain for the application of QSAR models

Davide Ballabio, Kamel Mansouri, R Todeschini, 2011 .

A comparative study on different methods for applicability domain assessment

Davide Ballabio, Roberto Todeschini, Consonni, 2013 .

Mapping of Activity through Dichotomic Scores (MADS): A new chemoinformatic approach to detect activity‐rich structural regions

Davide Ballabio, Roberto Todeschini, Viviana Consonni, 2018 .

RECENT ADVANCEMENTS TO DEFINE THE APPLICABILITY DOMAIN OF QSAR MODELS

Davide Ballabio, R Todeschini, Consonni, 2012 .

On the application of chemometrics for the study of acoustic-mechanical properties of crispy bakery products

Davide Ballabio, Laura Piazza, J. Gigli, 2007 .

Optimisation of counter-propagation artificial neural networks by means of genetic algorithms

Davide Ballabio, Roberto Todeschini, M Visaghi, 2010 .

Deep Ranking Analysis by Power Eigenvectors (DRAPE): A wizard for ranking and multi-criteria decision making

Davide Ballabio, Francesca Grisoni, Roberto Todeschini, 2019, Chemometrics and Intelligent Laboratory Systems.

Chapter 9 The DART (Decision Analysis by Ranking Techniques) Software

Davide Ballabio, Roberto Todeschini, Alberto Manganaro, 2008 .

Deep Ranking Analysis by Power Eigenvectors (DRAPE): A polypharmacology case study

Davide Ballabio, Viviana Consonni, Roberto Todeschini, 2020 .

Characterization of the traditional Cypriot spirit Zivania by means of Counterpropagation Artificial Neural Networks

Davide Ballabio, Roberto Todeschini, Rebecca Kokkinofta, 2007 .

The Kohonen and CP-ANN toolbox: A collection of MATLAB modules for Self Organizing Maps and Counterpropagation Artificial Neural Networks

Davide Ballabio, Roberto Todeschini, Viviana Consonni, 2009 .

Recent Advances in High-Level Fusion Methods to Classify Multiple Analytical Chemical Data

Davide Ballabio, Roberto Todeschini, Viviana Consonni, 2019, Data Handling in Science and Technology.

Introduction to MOLE DB - on-line Molecular Descriptors Database

Davide Ballabio, Roberto Todeschini, Viviana Consonni, 2009 .

A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure

Davide Ballabio, D. Ballabio, 2015 .

A MATLAB toolbox for Self Organizing Maps and supervised neural network learning strategies

Mahdi Vasighi, Davide Ballabio, D. Ballabio, 2012 .

Amperometric electronic tongue for food analysis

Davide Ballabio, Saverio Mannino, Matteo Scampicchio, 2008 .

Recent advances in consensus modelling of multiple analytical chemical data

Davide Ballabio, Roberto Todeschini, Consonni, 2015 .

Genetic Algorithms for architecture optimisation of Counter-Propagation Artificial Neural Networks

Mahdi Vasighi, Davide Ballabio, Viviana Consonni, 2011 .

High-level data fusion: perspectives in QSAR and analytical applications

Davide Ballabio, 2017 .

Oblique rotation of factors: a novel pattern recognition strategy to classify fluorescence excitation-emission matrices of human blood plasma for early diagnosis of colorectal cancer.

Mahdi Vasighi, Davide Ballabio, Mohsen Kompany-Zareh, 2016, Molecular bioSystems.