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Francesco Isgrò
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2020 – today
- 2024
- [j18]Andrea Apicella
, Francesco Isgrò
Hidden classification layers: Enhancing linear separability between classes in neural networks layers. Pattern Recognit. Lett. 177: 69-74 (2024) - [c41]Khim Cathleen Saddi, Domenico Miglino, Francesco Isgrò, Tim van Emmerik, Salvatore Manfreda:
Balancing Accuracy and Efficiency for River Plastic Monitoring. IGARSS 2024: 3836-3840 - [c40]Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaia, Lutgarda Bozzetto, Umberto Bracale, Egidio De Benedetto, Paolo De Blasiis, Antonio Esposito, Francesco Isgrò, Giacomo Lus, Nicola Moccaldi, Roberto Peltrini, Roberto Prevete, Simona Raim:
Advancing Healthcare Through AI: Innovations in Monitoring and Diagnostic Technologies at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab). Ital-IA 2024: 336-341 - [i12]Andrea Apicella
Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning. CoRR abs/2401.13796 (2024) - [i11]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
Towards a general framework for improving the performance of classifiers using XAI methods. CoRR abs/2403.10373 (2024) - [i10]Andrea Pollastro, Francesco Isgrò, Roberto Prevete:
SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder. CoRR abs/2406.17537 (2024) - 2023
- [j17]Andrea Apicella
On the effects of data normalization for domain adaptation on EEG data. Eng. Appl. Artif. Intell. 123(Part A): 106205 (2023) - [j16]Andrea Apicella
Adaptive filters in Graph Convolutional Neural Networks. Pattern Recognit. 144: 109867 (2023) - [j15]Pasquale Arpaia
Uncertainty Analysis in Cryptographic Key Recovery for Machine Learning-Based Power Measurements Attacks. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [c39]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
SHAP-based Explanations to Improve Classification Systems. XAI.it@AI*IA 2023: 76-86 - [c38]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
An XAI-Based Masking Approach to Improve Classification Systems. BEWARE@AI*IA 2023: 79-83 - [c37]Andrea Apicella
Dynamic Local Filters in Graph Convolutional Neural Networks. ICIAP (2) 2023: 406-417 - [c36]Andrea Apicella
Toward the Improvement of Probabilistic Classifiers Using Ontologies. MetroXRAINE 2023: 664-669 - [c35]Andrea Apicella
Strategies to Exploit XAI to Improve Classification Systems. xAI (1) 2023: 147-159 - [i9]Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Strategies to exploit XAI to improve classification systems. CoRR abs/2306.05801 (2023) - [i8]Andrea Apicella
Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes. CoRR abs/2306.06146 (2023) - 2022
- [j14]Andrea Apicella
A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels. IEEE Access 10: 117411-117428 (2022) - [j13]Andrea Apicella
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems. Knowl. Based Syst. 255: 109725 (2022) - [c34]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Toward the Application of XAI Methods in EEG-based Systems. XAI.it@AI*IA 2022: 1-15 - [c33]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: 83-88 - [i7]Andrea Apicella, Francesco Isgrò, Andrea Pollastro
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. CoRR abs/2210.01081 (2022) - [i6]Andrea Apicella
Toward the application of XAI methods in EEG-based systems. CoRR abs/2210.06554 (2022) - 2021
- [j12]Andrea Apicella
A survey on modern trainable activation functions. Neural Networks 138: 14-32 (2021) - [i5]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Dynamic Filters in Graph Convolutional Neural Networks. CoRR abs/2105.10377 (2021) - [i4]Andrea Apicella, Francesco Isgrò, Roberto Prevete:
A general approach for Explanations in terms of Middle Level Features. CoRR abs/2106.05037 (2021) - 2020
- [j11]Andrea Apicella
Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods. Int. J. Neural Syst. 30(8): 2050040:1-2050040:17 (2020) - [c32]Andrea Apicella
A General Approach to Compute the Relevance of Middle-Level Input Features. ICPR Workshops (3) 2020: 189-203 - [i3]Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete:
A survey on modern trainable activation functions. CoRR abs/2005.00817 (2020) - [i2]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
A general approach to compute the relevance of middle-level input features. CoRR abs/2010.08639 (2020)
2010 – 2019
- 2019
- [j10]Andrea Apicella
A simple and efficient architecture for trainable activation functions. Neurocomputing 370: 1-15 (2019) - [j9]Anna Anzalone
Methods to Retrieve the Cloud-Top Height in the Frame of the JEM-EUSO Mission. IEEE Trans. Geosci. Remote. Sens. 57(1): 304-318 (2019) - [c31]Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, Alessio Vietri:
Sparse Dictionaries for the Explanation of Classification Systems. PIE@CAiSE 2019 - [c30]Andrea Apicella, Francesco Isgrò, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini:
Explaining classification systems using sparse dictionaries. ESANN 2019 - [c29]Andrea Apicella
Contrastive Explanations to Classification Systems Using Sparse Dictionaries. ICIAP (1) 2019: 207-218 - [i1]Andrea Apicella, Francesco Isgrò, Roberto Prevete:
A simple and efficient architecture for trainable activation functions. CoRR abs/1902.03306 (2019) - 2018
- [j8]Andrea Apicella
Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification. Inf. 9(10): 252 (2018) - [c28]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: 49 - 2017
- [c27]Andrea Apicella
Exploiting Context Information for Image Description. ICIAP (1) 2017: 320-331 - [c26]Andrea Apicella
Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution. ICIAP (1) 2017: 637-647 - [c25]Andrea Apicella
Integrating a Priori Probabilistic Knowledge into Classification for Image Description. WETICE 2017: 197-199 - 2016
- [j7]Anita Alicante
Unsupervised entity and relation extraction from clinical records in Italian. Comput. Biol. Medicine 72: 263-275 (2016) - [c24]Anna Corazza, Francesco Isgrò, Luca Longobardo, Roberto Prevete
A machine learning approach for predictive maintenance for mobile phones service providers. 3PGCIC 2016: 717-726 - [c23]Anita Alicante, Anna Corazza, Francesco Isgrò, Stefano Silvestri:
Relation Mining from Clinical Records. CLiC-it/EVALITA 2016 - [c22]Anna Anzalone, Francesco Isgrò:
A Multi-spectral Stereo Method to Retrieve Cloud top Height applied to Geostationary Satellite images. CompSysTech 2016: 190-197 - 2015
- [c21]Massimiliano Di Mella, Francesco Isgrò
Face Recognition from Robust SIFT Matching. ICIAP (2) 2015: 299-308 - 2014
- [c20]Anita Alicante
Unsupervised Information Extraction from Italian Clinical Records. InMed 2014: 340-349 - 2013
- [c19]Francesco Isgrò
Segmentation of nailfold capillaries from microscopy video sequences. CBMS 2013: 227-232 - [c18]Anna Anzalone
A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. CBMS 2013: 239-244
2000 – 2009
- 2009
- [c17]Ezio Catanzariti, Giovanni Fusco, Francesco Isgrò
A Semi-automated Method for the Measurement of the Fetal Nuchal Translucency in Ultrasound Images. ICIAP 2009: 613-622 - [c16]Anna Anzalone
Combining Fuzzy C-Mean and Normalized Convolution for Cloud Detection in IR Images. WILF 2009: 140-147 - 2008
- [j6]Francesco Isgrò
A distributed genetic algorithm for restoration of vertical line scratches. Parallel Comput. 34(12): 727-734 (2008) - 2007
- [c15]Marco Aiello
Fast convergence for spectral clustering. ICIAP 2007: 641-646 - 2006
- [j5]Elisabetta Delponte, Francesco Isgrò
SVD-matching using SIFT features. Graph. Model. 68(5-6): 415-431 (2006) - 2005
- [c14]Francesco Isgrò, Francesca Odone, Alessandro Verri:
An Open System for 3D Data Acquisition from Multiple Sensor. CAMP 2005: 52-57 - [c13]Francesco Isgrò, Domenico Tegolo:
Restoration of Vertical Line Scratches with a Distributed Genetic Algorithm. CAMP 2005: 249-254 - [c12]Elisabetta Delponte, Francesco Isgrò
Large Baseline Matching of Scale Invariant Features. ICIAP 2005: 794-801 - [c11]Elisabetta Delponte, Francesco Isgrò, Francesca Odone, Alessandro Verri:
SVD-Matching using SIFT Features. VVG 2005: 125-132 - 2004
- [j4]Francesco Isgrò
A fast and robust image registration method based on an early consensus paradigm. Pattern Recognit. Lett. 25(8): 943-954 (2004) - [j3]Francesco Isgrò
Three-dimensional image processing in the future of immersive media. IEEE Trans. Circuits Syst. Video Technol. 14(3): 288-303 (2004) - [j2]Benedetto Ballarò, Francesco Isgrò
Silhouette encoding and synthesis using elliptic Fourier descriptors, and applications to videoconferencing. J. Vis. Lang. Comput. 15(5): 391-408 (2004) - 2003
- [c10]Vito Di Gesù, Francesco Isgrò
Finding essential features for tracking starfish in a video sequence. ICIAP 2003: 504-509 - 2002
- [c9]Maurizio Pilu, Francesco Isgrò:
A fast and reliable planar registration method with applications to document stitching. BMVC 2002: 1-10 - [c8]Maurizio Pilu, Francesco Isgrò
Fast and robust planar registration by early consensus with applications to document stitching. WACV 2002: 245-250 - 2001
- [c7]Francesco Isgrò
Towards Teleconferencing by View Synthesis and Large-Baseline Stereo. ICIAP 2001: 198-203 - [c6]Domenico Tegolo
A Genetic Algorithm for Scratch Removal in Static Images. ICIAP 2001: 507-511 - [c5]Domenico Tegolo, Francesco Isgrò:
Scratch detection and removal from static images using simple statistics and genetic algorithms. ICIP (1) 2001: 265-268 - 2000
- [c4]Francesco Isgrò, Emanuele Trucco:
A General Rank-2 Parameterization of the Fundamental Matrix. ICPR 2000: 1868-1871
1990 – 1999
- 1999
- [j1]Francesco Isgrò, Emanuele Trucco:
Robust estimation of motion, structure and focal length from two views of a translating scene. Pattern Recognit. Lett. 20(8): 847-854 (1999) - [c3]Francesco Isgrò, Emanuele Trucco:
Projective Rectification Without Epipolar Geometry. CVPR 1999: 1094-1099 - [c2]Francesco Isgrò
On Robust Rectification for Uncalibrated Images. ICIAP 1999: 297-302 - 1994
- [c1]Domenico Tegolo, Biagio Lenzitti, Francesco Isgrò, Vito Di Gesù:
Dynamic interface for machine vision systems. ICPR (3) 1994: 323-326
Coauthor Index
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last updated on 2024-10-09 21:28 CEST by the dblp team
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