Francesco Isgrò

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 42

Top Topics

Linear Separability

Classification Systems

Machine Learning

Top Venues

Publications

Andrea Pollastro, Francesco Isgrò, Roberto Prevete
SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder. CoRR (2024)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
Hidden classification layers: Enhancing linear separability between classes in neural networks layers. Pattern Recognit. Lett. 177 (2024)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning. CoRR (2024)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
Towards a general framework for improving the performance of classifiers using XAI methods. CoRR (2024)
Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Strategies to exploit XAI to improve classification systems. CoRR (2023)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Dynamic Local Filters in Graph Convolutional Neural Networks. ICIAP (2) (2023)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Adaptive filters in Graph Convolutional Neural Networks. Pattern Recognit. 144 (2023)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
An XAI-Based Masking Approach to Improve Classification Systems. BEWARE@AI*IA (2023)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes. CoRR (2023)
Pasquale Arpaia, Francesco Caputo, Antonella Cioffi, Antonio Esposito, Francesco Isgrò
Uncertainty Analysis in Cryptographic Key Recovery for Machine Learning-Based Power Measurements Attacks. IEEE Trans. Instrum. Meas. 72 (2023)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
SHAP-based Explanations to Improve Classification Systems. XAI.it@AI*IA (2023)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
On the effects of data normalization for domain adaptation on EEG data. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Andrea Apicella, Anna Corazza, Francesco Isgrò, Roberto Prevete
Toward the Improvement of Probabilistic Classifiers Using Ontologies. MetroXRAINE (2023)
Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Strategies to Exploit XAI to Improve Classification Systems. xAI (1) (2023)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Toward the application of XAI methods in EEG-based systems. CoRR (2022)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems. Knowl. Based Syst. 255 (2022)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. CoRR (2022)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
XAI Approach for Addressing the Dataset Shift Problem: BCI as a Case Study (short paper). BEWARE@AI*IA (2022)
Andrea Apicella, Pasquale Arpaia, Francesco Isgrò, Giovanna Mastrati, Nicola Moccaldi
A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels. IEEE Access 10 (2022)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Toward the Application of XAI Methods in EEG-based Systems. XAI.it@AI*IA (2022)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
A general approach for Explanations in terms of Middle Level Features. CoRR (2021)
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete
A survey on modern trainable activation functions. Neural Networks 138 (2021)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Dynamic Filters in Graph Convolutional Neural Networks. CoRR (2021)
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete
A survey on modern trainable activation functions. CoRR (2020)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
A general approach to compute the relevance of middle-level input features. CoRR (2020)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
A General Approach to Compute the Relevance of Middle-Level Input Features. ICPR Workshops (3) (2020)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini
Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods. Int. J. Neural Syst. 30 (8) (2020)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, Alessio Vietri
Sparse Dictionaries for the Explanation of Classification Systems. PIE@CAiSE (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini
Explaining classification systems using sparse dictionaries. ESANN (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
A simple and efficient architecture for trainable activation functions. CoRR (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini
Contrastive Explanations to Classification Systems Using Sparse Dictionaries. ICIAP (1) (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
A simple and efficient architecture for trainable activation functions. Neurocomputing 370 (2019)
Anna Anzalone, Mario Edoardo Bertaina, Susana Briz, Claudio Cassardo, Roberto Cremonini, Antonio J. de Castro, Silvia Ferrarese, Francesco Isgrò, Fernando López, Ilaria Tabone
Methods to Retrieve the Cloud-Top Height in the Frame of the JEM-EUSO Mission. IEEE Trans. Geosci. Remote. Sens. 57 (1) (2019)
Letizia Tanca, Paolo Atzeni, Davide Azzalini, Ilaria Bartolini, Luca Cabibbo, Luca Calderoni, Paolo Ciaccia, Valter Crescenzi, Juan Carlos De Martin, Selina Fenoglietto, Donatella Firmani, Sergio Greco, Francesco Isgrò, Dario Maio, Davide Martinenghi, Maristella Matera, Paolo Merialdo, Cristian Molinaro, Marco Patella, Roberto Prevete, Elisa Quintarelli, Antonio Santangelo, Andrea Tagarelli, Guglielmo Tamburrini, Riccardo Torlone
Ethics-aware Data Governance (Vision Paper). SEBD (2018)
Andrea Apicella, Anna Corazza, Francesco Isgrò, Giuseppe Vettigli
Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification. Inf. 9 (10) (2018)
Andrea Apicella, Anna Corazza, Francesco Isgrò, Giuseppe Vettigli
Exploiting Context Information for Image Description. ICIAP (1) (2017)
Andrea Apicella, Francesco Isgrò, Daniel Riccio
Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution. ICIAP (1) (2017)
Andrea Apicella, Anna Corazza, Francesco Isgrò, Giuseppe Vettigli
Integrating a Priori Probabilistic Knowledge into Classification for Image Description. WETICE (2017)
Anita Alicante, Anna Corazza, Francesco Isgrò, Stefano Silvestri
Unsupervised entity and relation extraction from clinical records in Italian. Comput. Biol. Medicine 72 (2016)
Anna Anzalone, Francesco Isgrò
A Multi-spectral Stereo Method to Retrieve Cloud top Height applied to Geostationary Satellite images. CompSysTech (2016)
Anita Alicante, Anna Corazza, Francesco Isgrò, Stefano Silvestri
Relation Mining from Clinical Records. CLiC-it/EVALITA (2016)
Anna Corazza, Francesco Isgrò, Luca Longobardo, Roberto Prevete
A machine learning approach for predictive maintenance for mobile phones service providers. 3PGCIC (2016)
Massimiliano Di Mella, Francesco Isgrò
Face Recognition from Robust SIFT Matching. ICIAP (2) (2015)
Anita Alicante, Anna Corazza, Francesco Isgrò, Stefano Silvestri
Unsupervised Information Extraction from Italian Clinical Records. InMed (2014)
Anna Anzalone, Giovanni Fusco, Francesco Isgrò, Emanuela Orlandi, Roberto Prevete, Giuseppa Sciortino, Domenico Tegolo, Cesare Valenti
A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. CBMS (2013)
Francesco Isgrò, Francesco Pane, Giuseppe Porzio, Raffaele Pennarola, Elena Pennarola
Segmentation of nailfold capillaries from microscopy video sequences. CBMS (2013)
Anna Anzalone, Francesco Isgrò, Domenico Tegolo
Combining Fuzzy C-Mean and Normalized Convolution for Cloud Detection in IR Images. WILF (2009)
Ezio Catanzariti, Giovanni Fusco, Francesco Isgrò, Salvatore Masecchia, Roberto Prevete, Matteo Santoro
A Semi-automated Method for the Measurement of the Fetal Nuchal Translucency in Ultrasound Images. ICIAP (2009)
Francesco Isgrò, Domenico Tegolo
A distributed genetic algorithm for restoration of vertical line scratches. Parallel Comput. 34 (12) (2008)
Marco Aiello, F. Andreozzi, Ezio Catanzariti, Francesco Isgrò, Matteo Santoro
Fast convergence for spectral clustering. ICIAP (2007)
Elisabetta Delponte, Francesco Isgrò, Francesca Odone, Alessandro Verri
SVD-matching using SIFT features. Graph. Model. 68 (5-6) (2006)
Elisabetta Delponte, Francesco Isgrò, Francesca Odone, Alessandro Verri
Large Baseline Matching of Scale Invariant Features. ICIAP (2005)
Elisabetta Delponte, Francesco Isgrò, Francesca Odone, Alessandro Verri
SVD-Matching using SIFT Features. VVG (2005)
Francesco Isgrò, Domenico Tegolo
Restoration of Vertical Line Scratches with a Distributed Genetic Algorithm. CAMP (2005)
Francesco Isgrò, Francesca Odone, Alessandro Verri
An Open System for 3D Data Acquisition from Multiple Sensor. CAMP (2005)
Benedetto Ballarò, Francesco Isgrò, Domenico Tegolo
Silhouette encoding and synthesis using elliptic Fourier descriptors, and applications to videoconferencing. J. Vis. Lang. Comput. 15 (5) (2004)
Francesco Isgrò, Maurizio Pilu
A fast and robust image registration method based on an early consensus paradigm. Pattern Recognit. Lett. 25 (8) (2004)
Francesco Isgrò, Emanuele Trucco, Oliver Schreer
Three-dimensional image processing in the future of immersive media. IEEE Trans. Circuits Syst. Video Technol. 14 (3) (2004)
Vito Di Gesù, Francesco Isgrò, Domenico Tegolo, Emanuele Trucco
Finding essential features for tracking starfish in a video sequence. ICIAP (2003)
Maurizio Pilu, Francesco Isgrò
A fast and reliable planar registration method with applications to document stitching. BMVC (2002)
Maurizio Pilu, Francesco Isgrò
Fast and robust planar registration by early consensus with applications to document stitching. WACV (2002)
Domenico Tegolo, Francesco Isgrò
Scratch detection and removal from static images using simple statistics and genetic algorithms. ICIP (1) (2001)
Domenico Tegolo, Francesco Isgrò
A Genetic Algorithm for Scratch Removal in Static Images. ICIAP (2001)
Francesco Isgrò, Emanuele Trucco, Li-Qun Xu
Towards Teleconferencing by View Synthesis and Large-Baseline Stereo. ICIAP (2001)
Francesco Isgrò, Emanuele Trucco
A General Rank-2 Parameterization of the Fundamental Matrix. ICPR (2000)
Francesco Isgrò, Emanuele Trucco
On Robust Rectification for Uncalibrated Images. ICIAP (1999)
Francesco Isgrò, Emanuele Trucco
Projective Rectification Without Epipolar Geometry. CVPR (1999)
Francesco Isgrò, Emanuele Trucco
Robust estimation of motion, structure and focal length from two views of a translating scene. Pattern Recognit. Lett. 20 (8) (1999)
Domenico Tegolo, Biagio Lenzitti, Francesco Isgrò, Vito Di Gesù
Dynamic interface for machine vision systems. ICPR (3) (1994)