Alessandro Farinelli

Alessandro Farinelli

Università degli Studi di Verona

H-index: 35

Europe-Italy

About Alessandro Farinelli

Alessandro Farinelli, With an exceptional h-index of 35 and a recent h-index of 25 (since 2020), a distinguished researcher at Università degli Studi di Verona, specializes in the field of Artificial Intelligence, Multi Agent Systems, Multi-Robot systems, Decentralized Optimization.

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

Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach

Enumerating safe regions in deep neural networks with provable probabilistic guarantees

Analyzing Adversarial Inputs in Deep Reinforcement Learning

Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation

Ride-Sharing in Medical Transportations: Dealing with Temporal Requirements

Reinforcement learning applications in environmental sustainability: a review

Planning and Inverse Kinematics of Hyper-Redundant Manipulators with VO-FABRIK

An attention model for the formation of collectives in real-world domains

Alessandro Farinelli Information

University

Position

assistant professor of Computer Science

Citations(all)

5515

Citations(since 2020)

2408

Cited By

3938

hIndex(all)

35

hIndex(since 2020)

25

i10Index(all)

109

i10Index(since 2020)

68

Email

University Profile Page

Università degli Studi di Verona

Google Scholar

View Google Scholar Profile

Alessandro Farinelli Skills & Research Interests

Artificial Intelligence

Multi Agent Systems

Multi-Robot systems

Decentralized Optimization

Top articles of Alessandro Farinelli

Title

Journal

Author(s)

Publication Date

Learning Logic Specifications for Policy Guidance in POMDPs: an Inductive Logic Programming Approach

Journal of Artificial Intelligence Research

Daniele Meli

Alberto Castellini

Alessandro Farinelli

2024/2/28

Enumerating safe regions in deep neural networks with provable probabilistic guarantees

AAAI Conference on Artificial Intelligence (AAAI)

Luca Marzari

Davide Corsi

Enrico Marchesini

Alessandro Farinelli

Ferdinando Cicalese

2024

Analyzing Adversarial Inputs in Deep Reinforcement Learning

arXiv preprint arXiv:2402.05284

Davide Corsi

Guy Amir

Guy Katz

Alessandro Farinelli

2024/2/7

Mind the Error! Detection and Localization of Instruction Errors in Vision-and-Language Navigation

arXiv preprint arXiv:2403.10700

Francesco Taioli

Stefano Rosa

Alberto Castellini

Lorenzo Natale

Alessio Del Bue

...

2024/3/15

Ride-Sharing in Medical Transportations: Dealing with Temporal Requirements

CEUR WORKSHOP PROCEEDINGS

Giovanni Alberto Beltrame

Carlo Combi

Alessandro Farinelli

Roberto Posenato

Giuseppe Pozzi

2024

Reinforcement learning applications in environmental sustainability: a review

Maddalena Zuccotto

Alberto Castellini

Davide La Torre

Lapo Mola

Alessandro Farinelli

2024/3/12

Planning and Inverse Kinematics of Hyper-Redundant Manipulators with VO-FABRIK

arXiv preprint arXiv:2403.05399

Cristian Morasso

Daniele Meli

Yann Divet

Salvatore Sessa

Alessandro Farinelli

2024/3/8

An attention model for the formation of collectives in real-world domains

Artificial Intelligence

Adrià Fenoy

Filippo Bistaffa

Alessandro Farinelli

2024/3/1

Constrained reinforcement learning and formal verification for safe colonoscopy navigation

Davide Corsi

Luca Marzari

Ameya Pore

Alessandro Farinelli

Alicia Casals

...

2023/10/1

HMM-based anomaly interpretation for intelligent robots in Industry 4.0

Alberto Castellini

Cristian Morasso

Alessandro Farinelli

2023

Inductive Logic Programming For Transparent Alignment With Multiple Moral Values

CEUR WORKSHOP PROCEEDINGS

Celeste Veronese

Daniele Meli

Filippo Bistaffa

Manel Rodríguez-Soto

Alessandro Farinelli

...

2023

The Post-pandemic Effects on IoT for Safety: The Safe Place Project

Federico Cunico

Luigi Capogrosso

Alberto Castellini

Francesco Setti

Patrik Pluchino

...

2023/4/17

Adversarial Data Augmentation for HMM-based Anomaly Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence

Alberto Castellini

Francesco Masillo

Davide Azzalini

Francesco Amigoni

Alessandro Farinelli

2023/8/7

Tabular Model Learning in Monte Carlo Tree Search

Proceedings of IPS

Alberto Castellini

Davide Bragantini

Davide Rossignolo

Federico Segala

Alessandro Farinelli

2023

Learning logic specifications for soft policy guidance in pomcp

arXiv preprint arXiv:2303.09172

Giulio Mazzi

Daniele Meli

Alberto Castellini

Alessandro Farinelli

2023/3/16

Scalable safe policy improvement via monte carlo tree search

Alberto Castellini

Federico Bianchi

Edoardo Zorzi

Thiago D Simao

Alessandro Farinelli

...

2023/7/3

Safe and Efficient Reinforcement Learning for Environmental Monitoring

Federico Bianchi

Davide Corsi

Luca Marzari

Daniele Meli

Francesco Trotti

...

2023

Unsupervised active visual search with monte carlo planning under uncertain detections

arXiv preprint arXiv:2303.03155

Francesco Taioli

Francesco Giuliari

Yiming Wang

Riccardo Berra

Alberto Castellini

...

2023/3/6

An online path planner based on POMDP for UAVs

Francesco Trotti

Alessandro Farinelli

Riccardo Muradore

2023/6/13

Scaling# DNN-Verification Tools with Efficient Bound Propagation and Parallel Computing

arXiv preprint arXiv:2312.05890

Luca Marzari

Gabriele Roncolato

Alessandro Farinelli

2023/12/10

See List of Professors in Alessandro Farinelli University(Università degli Studi di Verona)

Co-Authors

H-index: 134
Nick Jennings

Nick Jennings

Imperial College London

H-index: 94
Milind Tambe

Milind Tambe

Harvard University

H-index: 58
Alex Rogers

Alex Rogers

University of Oxford

H-index: 58
Daniele Nardi

Daniele Nardi

Sapienza Università di Roma

H-index: 51
Sarvapali D. (Gopal) Ramchurn

Sarvapali D. (Gopal) Ramchurn

University of Southampton

H-index: 46
Luca Iocchi

Luca Iocchi

Sapienza Università di Roma

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