Luca Bortolussi

Luca Bortolussi

Università degli Studi di Trieste

H-index: 32

Europe-Italy

About Luca Bortolussi

Luca Bortolussi, With an exceptional h-index of 32 and a recent h-index of 19 (since 2020), a distinguished researcher at Università degli Studi di Trieste, specializes in the field of modelling and simulation, explainable artificial intelligence, machine learning, formal methods, cyber-physical systems.

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

Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures

On the robustness of bayesian neural networks to adversarial attacks

Conformal quantitative predictive monitoring of stl requirements for stochastic processes

Model Abstraction and Conditional Sampling with Score-Based Diffusion Models

MoonLight: a lightweight tool for monitoring spatio-temporal properties

Towards Invertible Semantic-Preserving Embeddings of Logical Formulae

Generative abstraction of Markov population processes

Data-Driven Inference of Chemical Reaction Networks via Graph-Based Variational Autoencoders

Luca Bortolussi Information

University

Position

___

Citations(all)

3198

Citations(since 2020)

1361

Cited By

2401

hIndex(all)

32

hIndex(since 2020)

19

i10Index(all)

76

i10Index(since 2020)

37

Email

University Profile Page

Università degli Studi di Trieste

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Luca Bortolussi Skills & Research Interests

modelling and simulation

explainable artificial intelligence

machine learning

formal methods

cyber-physical systems

Top articles of Luca Bortolussi

Title

Journal

Author(s)

Publication Date

Inference of Probabilistic Programs with Moment-Matching Gaussian Mixtures

Proceedings of the ACM on Programming Languages

Francesca Randone

Luca Bortolussi

Emilio Incerto

Mirco Tribastone

2024/1/5

On the robustness of bayesian neural networks to adversarial attacks

IEEE Transactions on Neural Networks and Learning Systems

Luca Bortolussi

Ginevra Carbone

Luca Laurenti

Andrea Patane

Guido Sanguinetti

...

2024/4/22

Conformal quantitative predictive monitoring of stl requirements for stochastic processes

Francesca Cairoli

Nicola Paoletti

Luca Bortolussi

2023/5/9

Model Abstraction and Conditional Sampling with Score-Based Diffusion Models

Luca Bortolussi

Francesca Cairoli

Francesco Giacomarra

Davide Scassola

2023/9/15

MoonLight: a lightweight tool for monitoring spatio-temporal properties

International Journal on Software Tools for Technology Transfer

Laura Nenzi

Ezio Bartocci

Luca Bortolussi

Simone Silvetti

Michele Loreti

2023/8

Towards Invertible Semantic-Preserving Embeddings of Logical Formulae

arXiv preprint arXiv:2305.03143

Gaia Saveri

Luca Bortolussi

2023/5/3

Generative abstraction of Markov population processes

Theoretical Computer Science

Francesca Cairoli

Fabio Anselmi

Alberto d'Onofrio

Luca Bortolussi

2023/10/25

Data-Driven Inference of Chemical Reaction Networks via Graph-Based Variational Autoencoders

Luca Bortolussi

Francesca Cairoli

Julia Klein

Tatjana Petrov

2023/9/15

Comparison of discrimination and calibration performance of ECG-based machine learning models for prediction of new-onset atrial fibrillation

BMC Medical Research Methodology

Giovanni Baj

Ilaria Gandin

Arjuna Scagnetto

Luca Bortolussi

Chiara Cappelletto

...

2023/7/22

Machine learning approaches for ECG-based models: discrimination and calibration for atrial fibrillation prediction

Giovanni Baj

Ilaria Gandin

Arjuna Scagnetto

Luca Bortolussi

Chiara Cappelletto

...

2023/2/16

CARSO: Blending Adversarial Training and Purification Improves Adversarial Robustness

Emanuele Ballarin

Luca Bortolussi

2023/10/13

CARSO: Counter-Adversarial Recall of Synthetic Observations

arXiv preprint arXiv:2306.06081

Emanuele Ballarin

Alessio Ansuini

Luca Bortolussi

2023/5/25

and Davide Scassola () Allab, University of Trieste, Trieste, Italy lbortolussi@ units. it 9 davide. scassola@ phd. units. it

Quantitative Evaluation of Systems: 20th International Conference, QEST 2023, Antwerp, Belgium, September 20–22, 2023, Proceedings

Luca Bortolussi

Francesca Cairoli

Francesco Giacomarra

2023/9/14

Robot Navigation in Crowded Environments: A Reinforcement Learning Approach

Machines

Matteo Caruso

Enrico Regolin

Federico Julian Camerota Verdù

Stefano Alberto Russo

Luca Bortolussi

...

2023/2/10

Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking

Luca Bortolussi

Francesca Cairoli

Ginevra Carbone

Paolo Pulcini

2023/10/1

Relating implicit bias and adversarial attacks through intrinsic dimension

arXiv preprint arXiv:2305.15203

Lorenzo Basile

Nikos Karantzas

Alberto d'Onofrio

Luca Bortolussi

Alex Rodriguez

...

2023/5/24

Deep Learning Survival Model to Predict Atrial Fibrillation From ECGs and EHR Data

Giovanni Baj

Arjuna Scagnetto

Luca Bortolussi

Giulia Barbati

2023/9/5

Machine Learning methods for the Atmosphere, the Ocean, and the Seabed

Valentina Blasone

Umberto Di Laudo

Gloria Pietropolli

Luca Bortolussi

Silvia Ceramicola

...

2023

Data symmetries and Learning in fully connected neural networks

IEEE Access

Fabio Anselmi

Luca Manzoni

Alberto D’onofrio

Alex Rodriguez

Giulio Caravagna

...

2023/5/10

Learning-based approaches to predictive monitoring with conformal statistical guarantees

Francesca Cairoli

Luca Bortolussi

Nicola Paoletti

2023/10/1

See List of Professors in Luca Bortolussi University(Università degli Studi di Trieste)

Co-Authors

H-index: 42
Federico Fogolari

Federico Fogolari

Università degli Studi di Udine

H-index: 40
Ezio Bartocci

Ezio Bartocci

Technische Universität Wien

H-index: 36
Agostino Dovier

Agostino Dovier

Università degli Studi di Udine

H-index: 36
Alberto Policriti

Alberto Policriti

Università degli Studi di Udine

H-index: 25
Verena Wolf

Verena Wolf

Universität des Saarlandes

H-index: 18
Cristina GUARDIANO

Cristina GUARDIANO

Università degli Studi di Modena e Reggio Emilia

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