Fabio Aiolli

Fabio Aiolli

Università degli Studi di Padova

H-index: 24

Europe-Italy

About Fabio Aiolli

Fabio Aiolli, With an exceptional h-index of 24 and a recent h-index of 17 (since 2020), a distinguished researcher at Università degli Studi di Padova, specializes in the field of Machine Learning.

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

Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer

A systematic review of value-aware recommender systems

Graph-based Explainable Recommendation Systems: Are We Rigorously Evaluating Explanations?

Social support and help-seeking among suicide bereaved: a study with Italian survivors

On the feasibility of crawling-based attacks against recommender systems 1

Novel applications for VAE-based anomaly detection systems

Bayes Point Rule Set Learning

PRL: A game theoretic large margin method for interpretable feature learning

Fabio Aiolli Information

University

Position

___

Citations(all)

1944

Citations(since 2020)

1167

Cited By

1161

hIndex(all)

24

hIndex(since 2020)

17

i10Index(all)

52

i10Index(since 2020)

28

Email

University Profile Page

Università degli Studi di Padova

Google Scholar

View Google Scholar Profile

Fabio Aiolli Skills & Research Interests

Machine Learning

Top articles of Fabio Aiolli

Title

Journal

Author(s)

Publication Date

Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer

Tommaso Carraro

Alessandro Daniele

Fabio Aiolli

Luciano Serafini

2024/3/23

A systematic review of value-aware recommender systems

Alvise De Biasio

Andrea Montagna

Fabio Aiolli

Nicolò Navarin

2023/4/18

Graph-based Explainable Recommendation Systems: Are We Rigorously Evaluating Explanations?

Proceedings of the Workshop on User Perspectives in Human-Centred Artificial Intelligence

Andrea Montagna

Alvise De Biasio

Nicolo' Navarin

Fabio Aiolli

2023

Social support and help-seeking among suicide bereaved: a study with Italian survivors

OMEGA-Journal of death and dying

Lorenza Entilli

Diego De Leo

Fabio Aiolli

Mirko Polato

Ombretta Gaggi

...

2023/6

On the feasibility of crawling-based attacks against recommender systems 1

Journal of Computer Security

Fabio Aiolli

Mauro Conti

Stjepan Picek

Mirko Polato

2022/1/1

Novel applications for VAE-based anomaly detection systems

Luca Bergamin

Tommaso Carraro

Mirko Polato

Fabio Aiolli

2022/7/18

Bayes Point Rule Set Learning

arXiv preprint arXiv:2204.05251

Fabio Aiolli

Luca Bergamin

Tommaso Carraro

Mirko Polato

2022/4/11

PRL: A game theoretic large margin method for interpretable feature learning

Neurocomputing

Mirko Polato

Guglielmo Faggioli

Fabio Aiolli

2022/3/28

Logic tensor networks for top-n recommendation

Tommaso Carraro

Alessandro Daniele

Fabio Aiolli

Luciano Serafini

2022/11/28

An introduction to deep learning in natural language processing: Models, techniques, and tools

Neurocomputing

Ivano Lauriola

Alberto Lavelli

Fabio Aiolli

2022/1/22

Effects of Amorphous Iron and Supercore as Core Material on Electric Field and Torque Characteristics for 450W 8/6 Switched Reluctance Motor

Muhammad R Fabio

Jihad Furqani

Syarif Hidayat

Umar Khayam

2022/11/22

Price direction prediction in financial markets, using Random Forest and Adaboost.

Mohammadmahdi Ghahramani

Fabio Aiolli

2022

Conditioned variational autoencoder for top-n item recommendation

Tommaso Carraro

Mirko Polato

Luca Bergamin

Fabio Aiolli

2022/9/6

Privacy-preserving kernel computation for vertically partitioned data

Mirko Polato

Alberto Gallinaro

Fabio Aiolli

2021

Propositional kernels

Entropy

Mirko Polato

Fabio Aiolli

2021/8/7

Exploring the structure of BERT through Kernel Learning

Ivano Lauriola

Alberto Lavelli

Alessandro Moschitti

Fabio Aiolli

2021/7/18

Learning adaptive representations for entity recognition in the biomedical domain

Journal of biomedical semantics

Ivano Lauriola

Fabio Aiolli

Alberto Lavelli

Fabio Rinaldi

2021/5/17

Using Rule-based system analysis to investigate social support and help-seeking among Italian suicide bereaved

Lorenza Entilli

Diego DE LEO

Fabio Aiolli

Mirko Polato

Ombretta Gaggi

...

2021

Recency aware collaborative filtering for next basket recommendation

Guglielmo Faggioli

Mirko Polato

Fabio Aiolli

2020/7/7

Psychiatric disorders classification with 3D convolutional neural networks

Stefano Campese

Ivano Lauriola

Cristina Scarpazza

Giuseppe Sartori

Fabio Aiolli

2020

See List of Professors in Fabio Aiolli University(Università degli Studi di Padova)