A neural model for fuzzy Dempster-Shafer classifiers. - Elisabetta Binaghi; Ignazio Gallo; Paolo Madella (Int. J. Approx. Reason., 2000)

Neural classification of high resolution remote sensing imagery for power transmission lines surveillance. - Elisabetta Binaghi; Ignazio Gallo; Monica Pepe; Pietro Alessandro Brivio; Sergio Musazzi; Alessandra Bassini (IGARSS, 2002)

A cognitive pyramid for contextual classification of remote sensing images. - Elisabetta Binaghi; Ignazio Gallo; Monica Pepe (IEEE Trans. Geosci. Remote. Sens., 2003)

Designing and Enacting Simulations Using Distributed Components. - Alberto Coen-Porisini; Ignazio Gallo; Antonella Zanzi (ISCIS, 2004)

Neural adaptive stereo matching. - Elisabetta Binaghi; Ignazio Gallo; Giuseppe Marino; Mario Raspanti (Pattern Recognit. Lett., 2004)

A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data. - Elisabetta Binaghi; Ignazio Gallo; Mirco Boschetti; Pietro Alessandro Brivio (ICIAP, 2005)

Dense Stereo Matching with Growing Aggregation and Neural Learning. - Ignazio Gallo; Elisabetta Binaghi (VISIGRAPP (Selected Papers), 2006)

Information Extraction and Classification from Free Text Using a Neural Approach. - Ignazio Gallo; Elisabetta Binaghi (CIARP, 2007)

Adaptive image restoration using a local neural approach. - Ignazio Gallo; Elisabetta Binaghi; A. Macchi (VISAPP (1), 2007)

Named Entity Recognition by Neural Sliding Window. - Ignazio Gallo; Elisabetta Binaghi; Moreno Carullo; Nicola Lamberti (Document Analysis Systems, 2008)

Clustering of short commercial documents for the web. - Moreno Carullo; Elisabetta Binaghi; Ignazio Gallo; Nicola Lamberti (ICPR, 2008)

An integrated fuzzy logic and web-based framework for active protocol support. - Elisabetta Binaghi; Ignazio Gallo; Cristina Ghiselli; Luca Levrini; Katia Biondi (Int. J. Medical Informatics, 2008)

Neural disparity computation for dense two-frame stereo correspondence. - Ignazio Gallo; Elisabetta Binaghi; Mario Raspanti (Pattern Recognit. Lett., 2008)

Dense Two-Frame Stereo Correspondence by Self-organizing Neural Network. - Marco Vanetti; Ignazio Gallo; Elisabetta Binaghi (ICIAP, 2009)

Soft Categorization and Annotation of Images with Radial Basis Function Networks. - Moreno Carullo; Elisabetta Binaghi; Ignazio Gallo (VISAPP (2), 2009)

Assigning Automatic Regularization Parameters in Image Restoration. - Ignazio Gallo; Elisabetta Binaghi (VISAPP (1), 2009)

Semi-blind image restoration using a local neural approach. - Ignazio Gallo; Elisabetta Binaghi; Mario Raspanti (Neurocomputing, 2009)

An online document clustering technique for short web contents. - Moreno Carullo; Elisabetta Binaghi; Ignazio Gallo (Pattern Recognit. Lett., 2009)

Neural Image Restoration for Decoding 1-D Barcodes using Common Camera Phones. - Alessandro Zamberletti; Ignazio Gallo; Moreno Carullo; Elisabetta Binaghi (VISAPP (1), 2010)

Decoding 1-D Barcode from Degraded Images Using a Neural Network. - Alessandro Zamberletti; Ignazio Gallo; Moreno Carullo; Elisabetta Binaghi (VISIGRAPP (Selected Papers), 2010)

Object Segmentation Using Multiple Neural Networks for Commercial Offers Visual Search. - Ignazio Gallo; Angelo Nodari; Marco Vanetti (EANN, 2011)

A Multi-Neural Network Approach to Image Detection and Segmentation of Gas Meter Counter. - Angelo Nodari; Ignazio Gallo (MVA, 2011)

Learning Object Detection using Multiple Neural Networks. - Ignazio Gallo; Angelo Nodari (VISAPP, 2011)

Affine SPHARM Registration - Neural Estimation of Affine Transformation in Spherical Domain. - Valentina Pedoia; Ignazio Gallo; Elisabetta Binaghi (VISAPP, 2011)

Classification of Segmented Objects through a Multi-net Approach. - Alessandro Zamberletti; Ignazio Gallo; Simone Albertini; Marco Vanetti; Angelo Nodari (ANNPR, 2012)

A mobile visual search application for content based image retrieval in the fashion domain. - Angelo Nodari; Matteo Ghiringhelli; Alessandro Zamberletti; Marco Vanetti; Simone Albertini; Ignazio Gallo (CBMI, 2012)

Fast Tree Leaf Image Retrieval Using a Probabilistic Multi-class Support Vector Machine Classifier. - Ignazio Gallo; Alessandro Zamberletti; Simone Albertini; Angelo Nodari; Marco Vanetti (CLEF (Online Working Notes/Labs/Workshop), 2012)

Automatic visual attributes extraction from web offers images. - Angelo Nodari; Ignazio Gallo; Marco Vanetti (CompIMAGE, 2012)

Unsupervised self-organizing texture descriptor. - Marco Vanetti; Ignazio Gallo; Angelo Nodari (CompIMAGE, 2012)

A New Query Suggestion Algorithm for Taxonomy-based Search Engines. - Roberto Zanon; Simone Albertini; Moreno Carullo; Ignazio Gallo (KDIR, 2012)

Digital privacy: Replacing pedestrians from Google Street View images. - Angelo Nodari; Marco Vanetti; Ignazio Gallo (ICPR, 2012)

Learning Object Segmentation using a Multi Network Segment Classification Approach. - Simone Albertini; Ignazio Gallo; Marco Vanetti; Angelo Nodari (VISAPP (1), 2012)

Robust Angle Invariant 1D Barcode Detection. - Alessandro Zamberletti; Ignazio Gallo; Simone Albertini (ACPR, 2013)

Multi-net System Configuration for Visual Object Segmentation by Error Backpropagation. - Ignazio Gallo; Marco Vanetti; Simone Albertini; Angelo Nodari (IbPRIA, 2013)

Visual Attribute Extraction Using Human Pose Estimation. - Angelo Nodari; Marco Vanetti; Ignazio Gallo (IbPRIA, 2013)

Unsupervised Feature Learning using Self-organizing Maps. - Marco Vanetti; Ignazio Gallo; Angelo Nodari (VISAPP (1), 2013)

GAS meter reading from real world images using a multi-net system. - Marco Vanetti; Ignazio Gallo; Angelo Nodari (Pattern Recognit. Lett., 2013)

Text Localization Based on Fast Feature Pyramids and Multi-Resolution Maximally Stable Extremal Regions. - Alessandro Zamberletti; Lucia Noce; Ignazio Gallo (ACCV Workshops (2), 2014)

High Entropy Ensembles for Holistic Figure-ground Segmentation. - Ignazio Gallo; Alessandro Zamberletti; Simone Albertini; Lucia Noce (BMVC, 2014)

Interactive Object Class Segmentation for Mobile Devices. - Ignazio Gallo; Alessandro Zamberletti; Lucia Noce (SIBGRAPI, 2014)

Automatic Prediction of Future Business Conditions. - Lucia Noce; Alessandro Zamberletti; Ignazio Gallo; Gabriele Piccoli; Joaquin Alfredo Rodriguez (PolTAL, 2014)

Unsupervised feature learning for sentiment classification of short documents. - Simone Albertini; Alessandro Zamberletti; Ignazio Gallo (J. Lang. Technol. Comput. Linguistics, 2014)

Augmented text character proposals and convolutional neural networks for text spotting from scene images. - Alessandro Zamberletti; Ignazio Gallo; Lucia Noce (ACPR, 2015)

Content Extraction from Marketing Flyers. - Ignazio Gallo; Alessandro Zamberletti; Lucia Noce (CAIP (1), 2015)

Robust Angle Invariant GAS Meter Reading. - Ignazio Gallo; Alessandro Zamberletti; Lucia Noce (DICTA, 2015)

Combining Textual and Visual Features to Identify Anomalous User-Generated Content. - Lucia Noce; Ignazio Gallo; Alessandro Zamberletti (Int. J. Comput. Linguistics Appl., 2015)

Neural 1D Barcode Detection Using the Hough Transform. - Alessandro Zamberletti; Ignazio Gallo; Simone Albertini; Lucia Noce (IPSJ Trans. Comput. Vis. Appl., 2015)

Deep Neural Networks for Page Stream Segmentation and Classification. - Ignazio Gallo; Lucia Noce; Alessandro Zamberletti; Alessandro Calefati (DICTA, 2016)

Using Convolutional Neural Networks for Content Extraction from Online Flyers. - Alessandro Calefati; Ignazio Gallo; Alessandro Zamberletti; Lucia Noce (DocEng, 2016)

Embedded Textual Content for Document Image Classification with Convolutional Neural Networks. - Lucia Noce; Ignazio Gallo; Alessandro Zamberletti; Alessandro Calefati (DocEng, 2016)

Query and Product Suggestion for Price Comparison Search Engines based on Query-product Click-through Bipartite Graphs. - Lucia Noce; Ignazio Gallo; Alessandro Zamberletti (WEBIST (1), 2016)

A Query and Product Suggestion Method for Price Comparison Search Engines. - Lucia Noce; Ignazio Gallo; Alessandro Zamberletti; Alessandro Calefati (WEBIST (Revised Selected Papers), 2016)

Multimodal Classification Fusion in Real-World Scenarios. - Ignazio Gallo; Alessandro Calefati; Shah Nawaz (WML@ICDAR, 2017)

Semantic Text Encoding for Text Classification Using Convolutional Neural Networks. - Ignazio Gallo; Shah Nawaz; Alessandro Calefati (WML@ICDAR, 2017)

e-Fair: Aggregation in e-Commerce for Exploiting Economies of Scale. - Pierluigi Gallo; Francesco Randazzo; Ignazio Gallo (CoRR, 2017)

Git Loss for Deep Face Recognition. - Ignazio Gallo; Shah Nawaz; Alessandro Calefati; Muhammad Kamran Janjua (BMVC, 2018)

Hand Written Characters Recognition via Deep Metric Learning. - Shah Nawaz; Alessandro Calefati; Nisar Ahmed; Ignazio Gallo (DAS, 2018)

Image and Encoded Text Fusion for Multi-Modal Classification. - Ignazio Gallo; Alessandro Calefati; Shah Nawaz; Muhammad Kamran Janjua (DICTA, 2018)

A Pipeline to Improve Face Recognition Datasets and Applications. - Ignazio Gallo; Shah Nawaz; Alessandro Calefati; Gabriele Piccoli (IVCNZ, 2018)

E-Fairs: a Cyber-Physical System for Aggregation and Economy of Scale in e-Commerce. - Pierluigi Gallo; Ignazio Gallo (RTSI, 2018)

Revisiting Cross Modal Retrieval. - Shah Nawaz; Muhammad Kamran Janjua; Alessandro Calefati; Ignazio Gallo (CoRR, 2018)

Seeing Colors: Learning Semantic Text Encoding for Classification. - Shah Nawaz; Alessandro Calefati; Muhammad Kamran Janjua; Ignazio Gallo (CoRR, 2018)

Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions. - Muhammad Kamran Janjua; Shah Nawaz; Alessandro Calefati; Ignazio Gallo (CoRR, 2018)

Binary Classification Using Pairs of Minimum Spanning Trees or N-Ary Trees. - Riccardo La Grassa; Ignazio Gallo; Alessandro Calefati; Dimitri Ognibene (CAIP (2), 2019)

Reading Meter Numbers in the Wild. - Alessandro Calefati; Ignazio Gallo; Shah Nawaz (DICTA, 2019)

Picture What You Read. - Ignazio Gallo; Shah Nawaz; Alessandro Calefati; Riccardo La Grassa; Nicola Landro (DICTA, 2019)

A Classification Methodology Based on Subspace Graphs Learning. - Riccardo La Grassa; Ignazio Gallo; Alessandro Calefati; Dimitri Ognibene (DICTA, 2019)

Deep Latent Space Learning for Cross-Modal Mapping of Audio and Visual Signals. - Shah Nawaz; Muhammad Kamran Janjua; Ignazio Gallo; Arif Mahmood; Alessandro Calefati (DICTA, 2019)

Do Cross Modal Systems Leverage Semantic Relationships? - Shah Nawaz; Muhammad Kamran Janjua; Ignazio Gallo; Arif Mahmood; Alessandro Calefati; Faisal Shafait (ICCV Workshops, 2019)

Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity Recognition. - Omer Arshad; Ignazio Gallo; Shah Nawaz; Alessandro Calefati (ICDAR, 2019)

Are These Birds Similar: Learning Branched Networks for Fine-grained Representations. - Shah Nawaz; Alessandro Calefati; Moreno Caraffini; Nicola Landro; Ignazio Gallo (IVCNZ, 2019)

Dynamic Decision Boundary for One-class Classifiers applied to non-uniformly Sampled Data. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (DICTA, 2020)

Visual Word Embedding for Text Classification. - Ignazio Gallo; Shah Nawaz; Nicola Landro; Riccardo La Grassa (ICPR Workshops (6), 2020)

Improving the Efficient Neural Architecture Search via Rewarding Modifications. - Ignazio Gallo; Gabriele Magistrali; Nicola Landro; Riccardo La Grassa (IVCNZ, 2020)

Image and Text fusion for UPMC Food-101 using BERT and CNNs. - Ignazio Gallo; Gianmarco Ria; Nicola Landro; Riccardo La Grassa (IVCNZ, 2020)

Can a powerful neural network be a teacher for a weaker neural network? - Nicola Landro; Ignazio Gallo; Riccardo La Grassa (CoRR, 2020)

σ2R Loss: a Weighted Loss by Multiplicative Factors using Sigmoidal Functions. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (CoRR, 2020)

Mixing ADAM and SGD: a Combined Optimization Method. - Nicola Landro; Ignazio Gallo; Riccardo La Grassa (CoRR, 2020)

EnGraf-Net: Multiple Granularity Branch Network with Fine-Coarse Graft Grained for Classification Task. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (CAIP (1), 2021)

Learning to Navigate in the Gaussian Mixture Surface. - Riccardo La Grassa; Ignazio Gallo; Calogero Vetro; Nicola Landro (CAIP (1), 2021)

Cross-Modal Speaker Verification and Recognition: A Multilingual Perspective. - Shah Nawaz; Muhammad Saad Saeed; Pietro Morerio; Arif Mahmood; Ignazio Gallo; Muhammad Haroon Yousaf; Alessio Del Bue (CVPR Workshops, 2021)

Combining Optimization Methods Using an Adaptive Meta Optimizer. - Nicola Landro; Ignazio Gallo; Riccardo La Grassa (Algorithms, 2021)

Is One Teacher Model Enough to Transfer Knowledge to a Student Model? - Nicola Landro; Ignazio Gallo; Riccardo La Grassa (Algorithms, 2021)

Learn class hierarchy using convolutional neural networks. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (Appl. Intell., 2021)

Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop Mapping. - Ignazio Gallo; Riccardo La Grassa; Nicola Landro; Mirco Boschetti (ISPRS Int. J. Geo Inf., 2021)

σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (Neurocomputing, 2022)

Two New Datasets for Italian-Language Abstractive Text Summarization. - Nicola Landro; Ignazio Gallo; Riccardo La Grassa; Edoardo Federici (Inf., 2022)

OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees. - Riccardo La Grassa; Ignazio Gallo; Nicola Landro (Pattern Recognit. Lett., 2022)

An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of Mars. - Riccardo La Grassa; Ignazio Gallo; Cristina Re; Gabriele Cremonese; Nicola Landro; Claudio Pernechele; Emanuele Simioni; Mattia Gatti (Remote. Sens., 2022)

Hyperspectral Data Compression Using Fully Convolutional Autoencoder. - Riccardo La Grassa; Cristina Re; Gabriele Cremonese; Ignazio Gallo (Remote. Sens., 2022)

Enhancing crop segmentation in satellite image time-series with transformer networks. - Ignazio Gallo; Mattia Gatti; Nicola Landro; Christian Loschiavo; Mirco Boschetti; Riccardo La Grassa; Anwar Ur Rehman (ICMV, 2023)

Distortion-aware super-resolution for planetary exploration images. - Nicola Landro; Ignazio Gallo; Filippo Pelosi; Riccardo La Grassa; Anwar Ur Rehman (ICMV, 2023)

A Food Package Recognition Framework for Enhancing Efficiency Leveraging the Object Detection Model. - Anwar Ur Rehman; Ignazio Gallo; Pengue Lorenzo (ICAC, 2023)

A template-independent approach for information extraction in real estate documents. - Nicola Landro; Gabriele Destro; Stefano Taverni; Ignazio Gallo (Ital-IA, 2023)

Deep Object Detection of Crop Weeds: Performance of YOLOv7 on a Real Case Dataset from UAV Images. - Ignazio Gallo; Anwar Ur Rehman; Ramin Heidarian Dehkordi; Nicola Landro; Riccardo La Grassa; Mirco Boschetti (Remote. Sens., 2023)

YOLOLens: A Deep Learning Model Based on Super-Resolution to Enhance the Crater Detection of the Planetary Surfaces. - Riccardo La Grassa; Gabriele Cremonese; Ignazio Gallo; Cristina Re; Elena Martellato (Remote. Sens., 2023)

Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images. - Ignazio Gallo; Mirco Boschetti; Anwar Ur Rehman; Gabriele Candiani (Remote. Sens., 2023)

Towards crop traits estimation from hyperspectral data: evaluation of neural network models trained with real multi-site data or synthetic RTM simulations. - Lorenzo Parigi; Gabriele Candiani; Ignazio Gallo; Piero Toscano; Mirco Boschetti (FedCSIS, 2024)

Thinking is Like Processing a Sequence of Spatial and Temporal Words. - Ignazio Gallo; Silvia Corchs (IJCNN, 2024)

A Large Dataset to Enhance Skin Cancer Classification With Transformer-Based Deep Neural Networks. - Mirco Gallazzi; Sara Biavaschi; Alessandro Bulgheroni; Tommaso M. Gatti; Silvia Corchs; Ignazio Gallo (IEEE Access, 2024)

Enhancing Crop Segmentation in Satellite Image Time Series with Transformer Networks. - Ignazio Gallo; Mattia Gatti; Nicola Landro; Christian Loschiavo; Mirco Boschetti; Riccardo La Grassa (CoRR, 2024)

Improving Classification in Skin Lesion Analysis Through Segmentation. - Mirco Gallazzi; Anwar Ur Rehman; Silvia Corchs; Ignazio Gallo (ICPRAM, 2025)

Chameleon: A Multimodal Learning Framework Robust to Missing Modalities. - Muhammad Irzam Liaqat; Shah Nawaz; Muhammad Zaigham Zaheer; Muhammad Saad Saeed; Hassan Sajjad 001; Tom De Schepper; Karthik Nandakumar; Muhammad Haris Khan; Ignazio Gallo; Markus Schedl (Int. J. Multim. Inf. Retr., 2025)