Davide Ballabio

About Davide Ballabio

Davide Ballabio, With an exceptional h-index of 40 and a recent h-index of 31 (since 2020), a distinguished researcher at Università degli Studi di Milano-Bicocca, specializes in the field of chemometrics, multivariate analysis, analytical chemistry, qsar, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Effectiveness of molecular fingerprints for exploring the chemical space of natural products

Kernel-based mapping of reliability in predictions for consensus modelling

Chemical space and Molecular Descriptors for QSAR studies

Characterization of pyrite weathering products by Raman hyperspectral imaging and chemometrics techniques

Classification-based Machine Learning Approaches to Predict the Taste of Molecules: A Review

Condensed Phase Membrane Introduction Mass Spectrometry: A Direct Alternative to Fully Exploit the Mass Spectrometry Potential in Environmental Sample Analysis

Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF‐SIMS and Self‐Organizing maps

Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial

Davide Ballabio Information

University

Position

___

Citations(all)

7494

Citations(since 2020)

4198

Cited By

4901

hIndex(all)

40

hIndex(since 2020)

31

i10Index(all)

88

i10Index(since 2020)

67

Email

University Profile Page

Google Scholar

Davide Ballabio Skills & Research Interests

chemometrics

multivariate analysis

analytical chemistry

qsar

machine learning

Top articles of Davide Ballabio

Title

Journal

Author(s)

Publication Date

Effectiveness of molecular fingerprints for exploring the chemical space of natural products

Journal of Cheminformatics

Davide Boldini

Davide Ballabio

Viviana Consonni

Roberto Todeschini

Francesca Grisoni

...

2024/3/25

Kernel-based mapping of reliability in predictions for consensus modelling

Chemometrics and Intelligent Laboratory Systems

Viviana Consonni

Roberto Todeschini

Marco Orlandi

Davide Ballabio

2024/2/13

Chemical space and Molecular Descriptors for QSAR studies

Viviana Consonni

Davide Ballabio

Roberto Todeschini

2023/1/1

Characterization of pyrite weathering products by Raman hyperspectral imaging and chemometrics techniques

Microchemical Journal

Enmanuel Cruz Muñoz

Fabio Gosetti

Davide Ballabio

Sergio Andò

Olivia Gómez-Laserna

...

2023/7/1

Classification-based Machine Learning Approaches to Predict the Taste of Molecules: A Review

Cristian Rojas

Davide Ballabio

Viviana Consonni

Diego Suárez-Estrella

Roberto Todeschini

2023/5/26

Condensed Phase Membrane Introduction Mass Spectrometry: A Direct Alternative to Fully Exploit the Mass Spectrometry Potential in Environmental Sample Analysis

Journal of the American Society for Mass Spectrometry

Gregory W Vandergrift

William Lattanzio-Battle

Erik T Krogh

Chris G Gill

2020/3/2

Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF‐SIMS and Self‐Organizing maps

Adv. Mater. Interfaces

P. Wong

S. Y.

Hook

A. L.

Gardner

...

2023

Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial

Cecile Valsecchi

Francesca Grisoni

Viviana Consonni

Davide Ballabio

Roberto Todeschini

2023/2/8

From the streets to the judicial evidence: determination of traditional illicit substances in drug seizures by a rapid and sensitive UHPLC-MS/MS-based platform

Molecules

Fabio Gosetti

Viviana Consonni

Davide Ballabio

Marco Emilio Orlandi

Angelo Amodio

...

2022/12/25

Enhanced Visualization and Interpretation of XMCD-PEEM Data Using SOM-RPM Machine Learning

Advanced Materials Interfaces

SY Wong

SL Harmer

W Gardner

AK Schenk

D Ballabio

...

2023

Effect of data preprocessing and machine learning hyperparameters on mass spectrometry imaging models

Journal of Vacuum Science & Technology A

Wil Gardner

David A Winkler

David LJ Alexander

Davide Ballabio

Benjamin W Muir

...

2023

Authenticity and Chemometrics Basics

Viviana Consonni

Roberto Todeschini

Fabio Gosetti

Davide Ballabio

2022/12/22

Comparison of machine learning approaches for the classification of elution profiles

Chemometrics and Intelligent Laboratory Systems

Giacomo Baccolo

Huiwen Yu

Cecile Valsecchi

Davide Ballabio

Rasmus Bro

2023/12/15

ChemTastesDB: A Curated Database of Molecular Tastants

Food Chemistry: Molecular Sciences

Cristian Rojas

Davide Ballabio

Karen Pacheco Sarmiento

Elisa Pacheco Jaramillo

Mateo Mendoza

...

2022/2/21

NMR spectroscopy and chemometric models to detect a specific non-porcine ruminant contaminant in pharmaceutical heparin

Journal of Pharmaceutical and Biomedical Analysis

Erika Colombo

Lucio Mauri

Maria Marinozzi

Timothy R Rudd

Edwin A Yates

...

2022

Expanding antineoplastic drugs surface monitoring profiles: enhancing of zwitterionic hydrophilic interaction methods

Separations

Stefano Dugheri

Nicola Mucci

Donato Squillaci

Elisabetta Bucaletti

Giovanni Cappelli

...

2022/1/29

Response Surface Methodology Approach to Evaluate the Effect of Transition Metals and Oxygen on Photo-Degradation of Methionine in a Model Wine System Containing Riboflavin

Journal of Agricultural and Food Chemistry

Daniela Fracassetti

Davide Ballabio

Melissa Mastro

Antonio Tirelli

David W Jeffery

2022

Evaluation of the predictivity of Acute Oral Toxicity (AOT) structure-activity relationship models

Regulatory Toxicology and Pharmacology

D Ballabio K Gromek

W Hawkins

Z Dunn

M Gawlik

2022

Improving bitter pit prediction by the use of X-ray fluorescence (XRF): A new approach by multivariate classification

Frontiers in Plant Science

Claudia Moggia

Manuel A Bravo

Ricardo Baettig

Marcelo Valdés

Sebastián Romero-Bravo

...

2022/11/30

Predicting molecular activity on nuclear receptors by multitask neural networks

Journal of Chemometrics

Cecile Valsecchi

Magda Collarile

Francesca Grisoni

Roberto Todeschini

Davide Ballabio

...

2022/2

See List of Professors in Davide Ballabio University(Università degli Studi di Milano-Bicocca)

Co-Authors

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