Roberto Todeschini

About Roberto Todeschini

Roberto Todeschini, With an exceptional h-index of 62 and a recent h-index of 41 (since 2020), a distinguished researcher at Università degli Studi di Milano-Bicocca, specializes in the field of mathematical chemistry, chemometrics, QSAR, molecular descriptors, chemoinformatics.

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

Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial

Chemical space and molecular descriptors for QSAR studies

Classification-based machine learning approaches to predict the taste of molecules: A review

Evaluation of classification performances of minimum spanning trees by 13 different metrics

Multi-task neural networks and molecular fingerprints to enhance compound identification from LC-MS/MS data

Authenticity and Chemometrics Basics

Roberto Todeschini Information

University

Position

- Full professor of chemometrics

Citations(all)

26206

Citations(since 2020)

9801

Cited By

20308

hIndex(all)

62

hIndex(since 2020)

41

i10Index(all)

168

i10Index(since 2020)

97

Email

University Profile Page

Università degli Studi di Milano-Bicocca

Google Scholar

View Google Scholar Profile

Roberto Todeschini Skills & Research Interests

mathematical chemistry

chemometrics

QSAR

molecular descriptors

chemoinformatics

Top articles of Roberto Todeschini

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

Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial

Cecile Valsecchi

Francesca Grisoni

Viviana Consonni

Davide Ballabio

Roberto Todeschini

2023/2/8

Chemical space and molecular descriptors for QSAR studies

Viviana Consonni

Davide Ballabio

Roberto Todeschini

2023/1/1

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

Evaluation of classification performances of minimum spanning trees by 13 different metrics

MATCH communications in mathematical and in computer chemistry

Roberto Todeschini

Cecile Valsecchi

2022

Multi-task neural networks and molecular fingerprints to enhance compound identification from LC-MS/MS data

Molecules

Viviana Consonni

Fabio Gosetti

Veronica Termopoli

Roberto Todeschini

Cecile Valsecchi

...

2022/9/8

Authenticity and Chemometrics Basics

Viviana Consonni

Roberto Todeschini

Fabio Gosetti

Davide Ballabio

2022/12/22

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

Identification of Photodegradation Products of Escitalopram in Surface Water by HPLC-MS/MS and Preliminary Characterization of Their Potential Impact on the Environment

Separations

Veronica Termopoli

Viviana Consonni

Davide Ballabio

Roberto Todeschini

Marco Orlandi

...

2022/10/5

Enhanced LC-MS/MS spectra matching through multitask neural networks and molecular fingerprints

C Valsecchi

G Baccolo

M Caserta

M Barbagallo

F Gosetti

...

2021

A MATLAB toolbox for multivariate regression coupled with variable selection

Chemometrics and Intelligent Laboratory Systems

Viviana Consonni

Giacomo Baccolo

Fabio Gosetti

Roberto Todeschini

Davide Ballabio

2021/6/15

Parsimonious optimization of multitask neural network hyperparameters

Molecules

Cecile Valsecchi

Viviana Consonni

Roberto Todeschini

Marco Emilio Orlandi

Fabio Gosetti

...

2021/11/30

Deep Ranking Analysis by Power Eigenvectors (DRAPE): A study on the human, environmental and economic wellbeing of 154 countries

Measuring and Understanding Complex Phenomena: Indicators and their Analysis in Different Scientific Fields

Cecile Valsecchi

Roberto Todeschini

2021

CATMoS: collaborative acute toxicity modeling suite

Environmental health perspectives

Kamel Mansouri

Agnes L Karmaus

Jeremy Fitzpatrick

Grace Patlewicz

Prachi Pradeep

...

2021/4/30

Nuclear receptor modulators: Catching information by machine learning

Biomedical Science and Engineering

Cecile Valsecchi

Francesca Grisoni

Viviana Consonni

Davide Ballabio

Roberto Todeschini

2021/9/29

4.25-chemometrics for QSAR modeling

Roberto Todeschini

Viviana Consonni

Davide Ballabio

Francesca Grisoni

2020

Geographical identification of Chianti red wine based on ICP-MS element composition

Food chemistry

Benedetta Bronzi

Claudio Brilli

Gian Maria Beone

Maria Chiara Fontanella

Davide Ballabio

...

2020/6/15

Similarity/Diversity Indices on Incidence Matrices Containing Missing Values

MATCH Communications in Mathematical and in Computer Chemistry

Cecile Valsecchi

Roberto Todeschini

2020

CoMPARA: collaborative modeling project for androgen receptor activity

Environmental Health Perspectives

Kamel Mansouri

Nicole Kleinstreuer

Ahmed M Abdelaziz

Domenico Alberga

Vinicius M Alves

...

2020/2/7

See List of Professors in Roberto Todeschini University(Università degli Studi di Milano-Bicocca)

Co-Authors

H-index: 47
Viviana Consonni

Viviana Consonni

Università degli Studi di Milano-Bicocca

H-index: 40
Davide Ballabio

Davide Ballabio

Università degli Studi di Milano-Bicocca

H-index: 33
Francesca Grisoni

Francesca Grisoni

Technische Universiteit Eindhoven

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