Dynamic interface for machine vision systems. - Domenico Tegolo; Biagio Lenzitti; Francesco Isgrò; Vito Di Gesù (ICPR (3), 1994)

Projective Rectification Without Epipolar Geometry. - Francesco Isgrò; Emanuele Trucco (CVPR, 1999)

On Robust Rectification for Uncalibrated Images. - Francesco Isgrò; Emanuele Trucco (ICIAP, 1999)

Robust estimation of motion, structure and focal length from two views of a translating scene. - Francesco Isgrò; Emanuele Trucco (Pattern Recognit. Lett., 1999)

A General Rank-2 Parameterization of the Fundamental Matrix. - Francesco Isgrò; Emanuele Trucco (ICPR, 2000)

Towards Teleconferencing by View Synthesis and Large-Baseline Stereo. - Francesco Isgrò; Emanuele Trucco; Li-Qun Xu (ICIAP, 2001)

A Genetic Algorithm for Scratch Removal in Static Images. - Domenico Tegolo; Francesco Isgrò (ICIAP, 2001)

Scratch detection and removal from static images using simple statistics and genetic algorithms. - Domenico Tegolo; Francesco Isgrò (ICIP (1), 2001)

A fast and reliable planar registration method with applications to document stitching. - Maurizio Pilu; Francesco Isgrò (BMVC, 2002)

Fast and robust planar registration by early consensus with applications to document stitching. - Maurizio Pilu; Francesco Isgrò (WACV, 2002)

Finding essential features for tracking starfish in a video sequence. - Vito Di Gesù; Francesco Isgrò; Domenico Tegolo; Emanuele Trucco (ICIAP, 2003)

A fast and robust image registration method based on an early consensus paradigm. - Francesco Isgrò; Maurizio Pilu (Pattern Recognit. Lett., 2004)

Three-dimensional image processing in the future of immersive media. - Francesco Isgrò; Emanuele Trucco; Oliver Schreer (IEEE Trans. Circuits Syst. Video Technol., 2004)

Silhouette encoding and synthesis using elliptic Fourier descriptors, and applications to videoconferencing. - Benedetto Ballarò; Francesco Isgrò; Domenico Tegolo (J. Vis. Lang. Comput., 2004)

An Open System for 3D Data Acquisition from Multiple Sensor. - Francesco Isgrò; Francesca Odone; Alessandro Verri (CAMP, 2005)

Restoration of Vertical Line Scratches with a Distributed Genetic Algorithm. - Francesco Isgrò; Domenico Tegolo (CAMP, 2005)

Large Baseline Matching of Scale Invariant Features. - Elisabetta Delponte; Francesco Isgrò; Francesca Odone; Alessandro Verri (ICIAP, 2005)

SVD-matching using SIFT features. - Elisabetta Delponte; Francesco Isgrò; Francesca Odone; Alessandro Verri (Graph. Model., 2006)

Fast convergence for spectral clustering. - Marco Aiello 003; F. Andreozzi; Ezio Catanzariti; Francesco Isgrò; Matteo Santoro (ICIAP, 2007)

A distributed genetic algorithm for restoration of vertical line scratches. - Francesco Isgrò; Domenico Tegolo (Parallel Comput., 2008)

A Semi-automated Method for the Measurement of the Fetal Nuchal Translucency in Ultrasound Images. - Ezio Catanzariti; Giovanni Fusco 004; Francesco Isgrò; Salvatore Masecchia; Roberto Prevete; Matteo Santoro (ICIAP, 2009)

Combining Fuzzy C-Mean and Normalized Convolution for Cloud Detection in IR Images. - Anna Anzalone; Francesco Isgrò; Domenico Tegolo (WILF, 2009)

A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. - Anna Anzalone; Giovanni Fusco 004; Francesco Isgrò; Emanuela Orlandi; Roberto Prevete; Giuseppa Sciortino; Domenico Tegolo; Cesare Valenti (CBMS, 2013)

Segmentation of nailfold capillaries from microscopy video sequences. - Francesco Isgrò; Francesco Pane; Giuseppe Porzio; Raffaele Pennarola; Elena Pennarola (CBMS, 2013)

Unsupervised Information Extraction from Italian Clinical Records. - Anita Alicante; Anna Corazza; Francesco Isgrò; Stefano Silvestri (InMed, 2014)

Face Recognition from Robust SIFT Matching. - Massimiliano Di Mella; Francesco Isgrò (ICIAP (2), 2015)

A machine learning approach for predictive maintenance for mobile phones service providers. - Anna Corazza; Francesco Isgrò; Luca Longobardo; Roberto Prevete (3PGCIC, 2016)

Relation Mining from Clinical Records. - Anita Alicante; Anna Corazza; Francesco Isgrò; Stefano Silvestri (CLiC-it/EVALITA, 2016)

A Multi-spectral Stereo Method to Retrieve Cloud top Height applied to Geostationary Satellite images. - Anna Anzalone; Francesco Isgrò (CompSysTech, 2016)

Unsupervised entity and relation extraction from clinical records in Italian. - Anita Alicante; Anna Corazza; Francesco Isgrò; Stefano Silvestri (Comput. Biol. Medicine, 2016)

Exploiting Context Information for Image Description. - Andrea Apicella 001; Anna Corazza; Francesco Isgrò; Giuseppe Vettigli (ICIAP (1), 2017)

Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution. - Andrea Apicella 001; Francesco Isgrò; Daniel Riccio (ICIAP (1), 2017)

Integrating a Priori Probabilistic Knowledge into Classification for Image Description. - Andrea Apicella 001; Anna Corazza; Francesco Isgrò; Giuseppe Vettigli (WETICE, 2017)

Ethics-aware Data Governance (Vision Paper). - 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; et al. (SEBD, 2018)

Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification. - Andrea Apicella 001; Anna Corazza; Francesco Isgrò; Giuseppe Vettigli (Inf., 2018)

Sparse Dictionaries for the Explanation of Classification Systems. - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete; Guglielmo Tamburrini; Alessio Vietri (PIE@CAiSE, 2019)

Explaining classification systems using sparse dictionaries. - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete; Andrea Sorrentino; Guglielmo Tamburrini (ESANN, 2019)

Contrastive Explanations to Classification Systems Using Sparse Dictionaries. - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete; Guglielmo Tamburrini (ICIAP (1), 2019)

A simple and efficient architecture for trainable activation functions. - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete (Neurocomputing, 2019)

Methods to Retrieve the Cloud-Top Height in the Frame of the JEM-EUSO Mission. - Anna Anzalone; Mario Edoardo Bertaina; Susana Briz; Claudio Cassardo; Roberto Cremonini; Antonio J. de Castro; Silvia Ferrarese; Francesco Isgrò; Fernando López; Ilaria Tabone (IEEE Trans. Geosci. Remote. Sens., 2019)

A General Approach to Compute the Relevance of Middle-Level Input Features. - Andrea Apicella 001; Salvatore Giugliano; Francesco Isgrò; Roberto Prevete (ICPR Workshops (3), 2020)

Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods. - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete; Guglielmo Tamburrini (Int. J. Neural Syst., 2020)

Dynamic Filters in Graph Convolutional Neural Networks. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (CoRR, 2021)

A general approach for Explanations in terms of Middle Level Features. - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete (CoRR, 2021)

A survey on modern trainable activation functions. - Andrea Apicella 001; Francesco Donnarumma; Francesco Isgrò; Roberto Prevete (Neural Networks, 2021)

XAI Approach for Addressing the Dataset Shift Problem: BCI as a Case Study (short paper). - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete (BEWARE@AI*IA, 2022)

Toward the Application of XAI Methods in EEG-based Systems. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (XAI.it@AI*IA, 2022)

A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels. - Andrea Apicella 001; Pasquale Arpaia; Francesco Isgrò; Giovanna Mastrati; Nicola Moccaldi (IEEE Access, 2022)

On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (CoRR, 2022)

Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems. - Andrea Apicella 001; Salvatore Giugliano; Francesco Isgrò; Roberto Prevete (Knowl. Based Syst., 2022)

SHAP-based Explanations to Improve Classification Systems. - Andrea Apicella 001; Salvatore Giugliano; Francesco Isgrò; Roberto Prevete (XAI.it@AI*IA, 2023)

An XAI-Based Masking Approach to Improve Classification Systems. - Andrea Apicella 001; Salvatore Giugliano; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (BEWARE@AI*IA, 2023)

Dynamic Local Filters in Graph Convolutional Neural Networks. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (ICIAP (2), 2023)

Toward the Improvement of Probabilistic Classifiers Using Ontologies. - Andrea Apicella 001; Anna Corazza; Francesco Isgrò; Roberto Prevete (MetroXRAINE, 2023)

Strategies to Exploit XAI to Improve Classification Systems. - Andrea Apicella 001; Luca Di Lorenzo; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (xAI (1), 2023)

Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes. - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete (CoRR, 2023)

On the effects of data normalization for domain adaptation on EEG data. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (Eng. Appl. Artif. Intell., 2023)

Uncertainty Analysis in Cryptographic Key Recovery for Machine Learning-Based Power Measurements Attacks. - Pasquale Arpaia; Francesco Caputo; Antonella Cioffi; Antonio Esposito 002; Francesco Isgrò (IEEE Trans. Instrum. Meas., 2023)

Adaptive filters in Graph Convolutional Neural Networks. - Andrea Apicella 001; Francesco Isgrò; Andrea Pollastro; Roberto Prevete (Pattern Recognit., 2023)

Improving the Performance of Already Trained Classifiers Through an Automatic Explanation-Based Learning Approach. - Andrea Apicella 001; Salvatore Giugliano; Francesco Isgrò; Roberto Prevete (DS (2), 2024)

Balancing Accuracy and Efficiency for River Plastic Monitoring. - Khim Cathleen Saddi; Domenico Miglino; Francesco Isgrò; Tim van Emmerik; Salvatore Manfreda (IGARSS, 2024)

Advancing Healthcare Through AI: Innovations in Monitoring and Diagnostic Technologies at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab). - Giovanni Annuzzi; Andrea Apicella 001; Pasquale Arpaia; Lutgarda Bozzetto; Umberto Bracale; Egidio De Benedetto; Paolo De Blasiis; Antonio Esposito 002; Francesco Isgrò; Giacomo Lus; Nicola Moccaldi; Roberto Peltrini; et al. (Ital-IA, 2024)

Accurate Energy Measurements for Tiny Machine Learning Workloads. - Pasquale Arpaia; Luigi Capobianco; Francesco Caputo; Antonella Cioffi; Antonio Esposito 002; Francesco Isgrò; Nicola Moccaldi; Danilo Pau; David Siorpaes; Ettore Toscano (MetroXRAINE, 2024)

Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning. - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete (CoRR, 2024)

Towards a general framework for improving the performance of classifiers using XAI methods. - Andrea Apicella 001; Salvatore Giugliano; Francesco Isgrò; Roberto Prevete (CoRR, 2024)

SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder. - Andrea Pollastro; Francesco Isgrò; Roberto Prevete (CoRR, 2024)

Hidden classification layers: Enhancing linear separability between classes in neural networks layers. - Andrea Apicella 001; Francesco Isgrò; Roberto Prevete (Pattern Recognit. Lett., 2024)

IMPACTX: Improving Model Performance by Appropriately predicting CorrecT eXplanations. - Andrea Apicella 001; Salvatore Giugliano; Francesco Isgrò; Roberto Prevete (CoRR, 2025)

Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer. - Valentina Brancato; Mario Verdicchio; Carlo Cavaliere; Francesco Isgrò; Marco Salvatore; Marco Aiello 003 (BMC Medical Imaging, 2025)