Matteo Bodini

In memoriam: Prof. Ottavio M. D'Antona

I am Ph.D. student at the Department of Computer Science "Giovanni Degli Antoni" of the University of Milan. I am also member of INdAM (National Institute for Advanced Mathematics "Francesco Severi") in the GNCS group (National Group for Scientific Computing), and I serve as Associate Editor for Annals of Biostatistics & Biometric Applications.

I received my M.Sc., full marks with honors, in Computer Science from the University of Milan in July 2018, discussing a thesis entitled "Probabilistic Dynamical Models for the Analysis of Affective Facial Expressions" (pdf available).

My current research interests span many fields of machine learning and pattern recognition, with particular focus on deep learning methods. At the moment, my main research effort is to address the task of heart diseases recognition through the analysis of ECG signals, using deep learning. I am also interested in signal processing and time series analysis and I am working on entropy measures, with applications to medical industry.

I can be reached at matteo.bodini@unimi.it.

Matteo Bodini, Ph.D. student
Università degli Studi di Milano
Dept. of Computer Science "Giovanni Degli Antoni"
Via Celoria 18, Milano, 20133 Italy
Room 6022 - Phone +39 02 503 16297
News

[09/08/2019] My paper "Aspect Extraction from Bangla Reviews Through Stacked Auto-Encoders" has been accepted for pubblication in Data, MDPI. The paper is available here.

[12/07/2019] The Issue n.42 of the Analyzing Medical Parameters for Solutions (AMPS-QT) journal, with my contributions, is now online. It is available here.

[28/06/2019] My paper "Will the Machine Like Your Image? Automatic Assessment of Beauty in Images with Machine Learning Techniques" has been accepted for pubblication in Inventions, MDPI. The paper is available here.

[14/05/2019] I have become member of the editorial board of Annals of Biostatistics & Biometric Applications, Iris publishers, as Associate Editor.

[05/03/2019] I will be Teaching Assistant for the courses of Coding for Data Science and Data Management and Machine learning, statistical learning, deep learning and artificial intelligence, courses at the Department of Economics, Management and Quantitative Methods, for the academic year 2018/2019 (grant: ID 551 - DR 985/2019 - 05/03/2019).

[05/03/2019] I have become member of INdAM (Istituto Nazionale di Alta Matematica "Francesco Severi") in the GNCS group (Gruppo Nazionale per il Calcolo Scientifico).

Journal papers

Aspect Extraction from Bangla Reviews Through Stacked Auto-Encoders
Matteo Bodini
Data. 2019; 4(3):121.
[paper]

The AMPS Quarterly - Issue n.42 - 2Q2019
Fabio Badilini, Roberto Sassi, and Matteo Bodini
Analyzing Medical Parameters for Solutions (AMPS-QT). 2019; Issue n.42.
[paper]

Will the Machine Like Your Image? Automatic Assessment of Beauty in Images with Machine Learning Techniques
Matteo Bodini
Inventions. 2019; 4(3):34.
[paper, BibTeX]

Can We Measure the Beauty of an Image?
Matteo Bodini
Annals of Biostatistics & Biometric Applications. 2019; 2(3).
[paper]

A Review of Facial Landmark Extraction in 2D Images and Videos Using Deep Learning
Matteo Bodini
Big Data and Cognitive Computing. 2019; 3(1):14.
[paper, BibTeX]
Conference papers

Probabilistic Nonlinear Dimensionality Reduction through Gaussian Process Latent Variable Models: an Overview
Matteo Bodini
Computer-Aided Developements in Electronics and Communication (CADEC), 2019
[preprint, to appear in CRC Press, Taylor & Francis Group]

Sound Classification and Localization in Service Robots with Attention Mechanisms
Matteo Bodini
Computer-Aided Developements in Electronics and Communication (CADEC), 2019
[preprint, to appear in CRC Press, Taylor & Francis Group]

Automatic Assessment of the Aesthetic Value of an Image with Machine Learning Techniques
Matteo Bodini
International Conference on ISMAC in Computational Vision and Bio-Engineering (ISMAC - CVB), 2019
[preprint, to appear in Lecture Notes in Computational Vision and Biomechanics, Springer]

Predictive sampling of facial expression dynamics driven by a latent action space
Giuseppe Boccignone, Matteo Bodini, Vittorio Cuculo, and Giuliano Grossi
IEEE 14th International Conference on Signal Image Technology & Internet Based Systems (SITIS), 2018
[paper, preprint, slides, BibTeX]

Single Sample Face Recognition by Sparse Recovery of Deep-learned LDA Features
Matteo Bodini, Alessandro D'Amelio, Giuliano Grossi, Raffaella Lanzarotti, and Jianyi Lin
Advanced Concepts for Intelligent Vision Systems (ACIVS), 2018
[paper, preprint, slides, code, BibTeX]

A New Proof of Dobiński’s Formula via an ad hoc Algebraic Structure
Matteo Bodini, Ottavio M. D’Antona, and Mauro Torelli
COMBINATORICS, 2018
[abstract, preprint, slides]