Loris Nanni

Loris Nanni

Università degli Studi di Padova

H-index: 57

Europe-Italy

About Loris Nanni

Loris Nanni, With an exceptional h-index of 57 and a recent h-index of 38 (since 2020), a distinguished researcher at Università degli Studi di Padova, specializes in the field of Pattern recognition, Machine learning.

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

Computer-Implemented Method for Detecting a Microsleep State of Mind of a Person by Processing at Least One EEG Trace Using an Artificial Intelligence Algorithm and System …

Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors

Automatic Classification of Infant’s Cry Using Data Balancing and Hierarchical Classification Techniques

Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features

Deep ensembles and data augmentation for semantic segmentation

Ensembles of convolutional neural networks and transformers for polyp segmentation

Heterogeneous Ensemble for Medical Data Classification

Exploring the Potential of Ensembles of Deep Learning Networks for Image Segmentation

Loris Nanni Information

University

Position

Dipartimento di Ingegneria dell'Informazione - (Padua) - Italy

Citations(all)

12305

Citations(since 2020)

5625

Cited By

8850

hIndex(all)

57

hIndex(since 2020)

38

i10Index(all)

200

i10Index(since 2020)

114

Email

University Profile Page

Università degli Studi di Padova

Google Scholar

View Google Scholar Profile

Loris Nanni Skills & Research Interests

Pattern recognition

Machine learning

Top articles of Loris Nanni

Title

Journal

Author(s)

Publication Date

Computer-Implemented Method for Detecting a Microsleep State of Mind of a Person by Processing at Least One EEG Trace Using an Artificial Intelligence Algorithm and System …

2024/1/18

Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of Local Descriptors

Applied Computing and Informatics

Sheryl Brahnam

Loris Nanni

Shannon McMurtrey

Alessandra Lumini

Rick Brattin

...

2023/1/12

Automatic Classification of Infant’s Cry Using Data Balancing and Hierarchical Classification Techniques

Matheus HC Sudul

Rafael L Aguiar

Yandre MG Costa

Sheryl Brahnam

Shannon McMurtrey

...

2023/6/27

Cancer Identification in Enteric Nervous System Preclinical Images Using Handcrafted and Automatic Learned Features

Neural Processing Letters

Gustavo Z Felipe

Lucas O Teixeira

Rodolfo M Pereira

Jacqueline N Zanoni

Sara RG Souza

...

2023/10

Deep ensembles and data augmentation for semantic segmentation

Loris Nanni

Alessandra Lumini

Andrea Loreggia

Sheryl Brahnam

Daniela Cuza

2023/1/1

Ensembles of convolutional neural networks and transformers for polyp segmentation

Sensors

Loris Nanni

Carlo Fantozzi

Andrea Loreggia

Alessandra Lumini

2023/5/12

Heterogeneous Ensemble for Medical Data Classification

Analytics

Loris Nanni

Sheryl Brahnam

Andrea Loreggia

Leonardo Barcellona

2023/9/4

Exploring the Potential of Ensembles of Deep Learning Networks for Image Segmentation

Information

Loris Nanni

Alessandra Lumini

Carlo Fantozzi

2023/12/12

Digital Recognition of Breast Cancer Using TakhisisNet: An Innovative Multi-Head Convolutional Neural Network for Classifying Breast Ultrasonic Images

Loris Nanni

Alessandra Lumini

Gianluca Maguolo

2023

Coupling RetinaFace and Depth Information to Filter False Positives

Applied Sciences

Loris Nanni

Sheryl Brahnam

Alessandra Lumini

Andrea Loreggia

2023/2/25

Improving Foraminifera Classification Using Convolutional Neural Networks with Ensemble Learning

Signals

Loris Nanni

Giovanni Faldani

Sheryl Brahnam

Riccardo Bravin

Elia Feltrin

2023/7/17

Building ensemble of deep networks: convolutional networks and transformers

IEEE Access

Loris Nanni

Andrea Loreggia

Leonardo Barcellona

Stefano Ghidoni

2023/11/6

A standardized approach for skin detection: Analysis of the literature and case studies

Loris Nanni

Andrea Loreggia

Alessandra Lumini

Alberto Dorizza

2023/2/6

Building Ensemble of Resnet for Dolphin Whistle Detection

Applied Sciences

Loris Nanni

Daniela Cuza

Sheryl Brahnam

2023/7/10

Improving existing segmentators performance with zero-shot segmentators

Loris Nanni

Daniel Fusaro

Carlo Fantozzi

Alberto Pretto

2023/7/26

Varied image data augmentation methods for building ensemble

IEEE Access

Riccardo Bravin

Loris Nanni

Andrea Loreggia

Sheryl Brahnam

Michelangelo Paci

2023/1/25

Deep-Learning-Based Human Chromosome Classification: Data Augmentation and Ensemble

Information

Mattia D’Angelo

Loris Nanni

2023/7/9

Comparison of Different Methods for Building Ensembles of Convolutional Neural Networks

Electronics

Loris Nanni

Andrea Loreggia

Sheryl Brahnam

2023/10/27

Convolutional neural networks for the identification of African lions from individual vocalizations

Neural Advances in Processing Nonlinear Dynamic Signals 27

Barbara Cannas

Sara Carcangiu

Alessandra Fanni

Ivan Lupelli

Fulvio Militello

...

2019

Polyp segmentation with deep ensembles and data augmentation

Loris Nanni

Daniela Cuza

Alessandra Lumini

Andrea Loreggia

Sheryl Brahman

2022/9/27

See List of Professors in Loris Nanni University(Università degli Studi di Padova)

Co-Authors

H-index: 71
Julian FIERREZ

Julian FIERREZ

Universidad Autónoma de Madrid

H-index: 63
Javier Ortega-Garcia

Javier Ortega-Garcia

Universidad Autónoma de Madrid

H-index: 51
Alessandra Lumini

Alessandra Lumini

Università degli Studi di Bologna

H-index: 46
dario maio

dario maio

Università degli Studi di Bologna

H-index: 40
Sheryl Brahnam

Sheryl Brahnam

Missouri State University

H-index: 38
Raffaele Cappelli

Raffaele Cappelli

Università degli Studi di Bologna

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