E. Binaghi

发表

Fuzzy Dempster–Shafer reasoning for rule‐based classifiers

E. Binaghi, P. Madella, Paolo Madella, 1999 .

Vegetation burning in the year 2000: Global burned area estimates from SPOT VEGETATION data

J. Pereira, S. Flasse, J. Grégoire, 2004 .

A neural model for fuzzy Dempster-Shafer classifiers

Ignazio Gallo, Elisabetta Binaghi, Paolo Madella, 2000, Int. J. Approx. Reason..

Slope Instability Zonation: a Comparison Between Certainty Factor and Fuzzy Dempster–Shafer Approaches

F. Pergalani, A. Rampini, E. Binaghi, 1998 .

Retrieval of vegetation understory information fusing hyperspectral and panchromatic airborne data

M. Boschetti, P. Brivio, E. Binaghi, 2003 .

A Neural Adaptive Model for feature selection and hyperspectral data classification

M. Boschetti, E. Binaghi, I. Gallo, 2004 .

Study of the Prognostic Relevance of Longitudinal Brain Atrophy in Post-traumatic Diffuse Axonal Injury Using Graph-Based MRI Segmentation Techniques

S. Balbi, V. Pedoia, E. Binaghi, 2014 .

3D analysis of SEM images of corrosion casting using adaptive stereo matching

S. Sangiorgi, M. Raspanti, E. Binaghi, 2007, Microscopy research and technique.

Indexing and Fuzzy Logic-Based Retrieval of Color Images

Raimondo Schettini, Elisabetta Binaghi, Isabella Gagliardi, 1991, Visual Database Systems.

Snow cover thickness estimation by using radial basis function networks

V. Pedoia, E. Binaghi, M. Guglielmin, 2012 .

RESTING STATE FMRI FUNCTIONAL CONNECTIVITY ANALYSIS USING SOFT COMPETITIVE LEARNING ALGORITHMS

E. Binaghi, A. Vergani, S. Strocchi, 2018 .

Breast Lesion Detection from Mammograms Using Deep Convolutional Neural Networks

E. Binaghi, M. Marcon, Gloria Gonella, 2020, ESSE.

ADAPTIVE IMAGE RESTORATION USING A LOCAL NEURAL

E. Binaghi, I. Gallo, A. Macchi, 2010 .

An online document clustering technique for short web contents

Ignazio Gallo, Elisabetta Binaghi, Moreno Carullo, 2009, Pattern Recognit. Lett..

Clustering of short commercial documents for the web

Ignazio Gallo, Elisabetta Binaghi, Moreno Carullo, 2008, 2008 19th International Conference on Pattern Recognition.

Machine Learning and Link Analysis for Web Content Mining

Elisabetta Binaghi, Moreno Carullo, E. Binaghi, 2010, KDIR.

A cognitive pyramid for contextual classification of remote sensing images

Ignazio Gallo, Elisabetta Binaghi, Monica Pepe, 2003, IEEE Trans. Geosci. Remote. Sens..

Integration of scale-space filtering and neural techniques for high resolution remote sensing image classification

Ignazio Gallo, Elisabetta Binaghi, Monica Pepe, 2003, SPIE Remote Sensing.

Key Sample Point Selection: An Improvement of Shape Context Algorithm in Image Retrieval

Ignazio Gallo, Angelo Nodari, Moreno Carullo, 2010 .

A Cloud Fuzzy Logic Framework for Oral Disease Risk Assessment

Elisabetta Binaghi, Luca Levrini, Gloria Gonella, 2018, WILF.

Fuzzy contextual classification of multisource remote sensing images

Elisabetta Binaghi, Anna Rampini, Paolo Madella, 1997, IEEE Trans. Geosci. Remote. Sens..

Fuzzy decision making in the classification of multisource remote sensing data

Elisabetta Binaghi, Anna Rampini, A. Rampini, 1993 .

A Global Inventory of Burned Areas at 1 Km Resolution for the Year 2000 Derived from Spot Vegetation Data

Elisabetta Binaghi, Daniela Stroppiana, Pietro Alessandro Brivio, 2004 .

Fuzzy reasoning approach to similarity evaluation in image analysis

Raimondo Schettini, Elisabetta Binaghi, Anna Della Ventura, 1993, Int. J. Intell. Syst..

SEMANTIC WEB MEETS VIRTUAL MUSEUMS : THE DOMUS NATURAE PROJECT

Elisabetta Binaghi, Alberto Trombetta, Loris Bozzato, 2005 .

Investigating the Behaviour of Machine Learning Techniques to Segment Brain Metastases in Radiation Therapy Planning

Elisabetta Binaghi, Gloria Gonella, Paola Nocera, 2019, Applied Sciences.

Automatic Segmentation of MR Brain Tumor Images using Support Vector Machine in Combination with Graph Cut

Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi, 2014, IJCCI.

APPLICATION OF MULTIRESOLUTION REMOTE SENSING IMAGE ANALYSIS AND NEURAL TECHNIQUES TO POWER LINES SURVEILLANCE

Ignazio Gallo, Elisabetta Binaghi, Monica Pepe, 2003 .

Neural classification of high resolution remote sensing imagery for power transmission lines surveillance

Ignazio Gallo, Elisabetta Binaghi, Pietro Alessandro Brivio, 2002, IEEE International Geoscience and Remote Sensing Symposium.

A neural adaptive model for hyperspectral data classification under minimal training conditions

Ignazio Gallo, Elisabetta Binaghi, Mirco Boschetti, 2004, SPIE Remote Sensing.

A hybrid approach to fuzzy land cover mapping

Elisabetta Binaghi, Anna Rampini, Pietro Alessandro Brivio, 1996, Pattern Recognit. Lett..

Mapping burned surfaces in Sub-Saharan Africa based on multi-temporal neural classification

Ignazio Gallo, Elisabetta Binaghi, Pietro Alessandro Brivio, 2003 .

A Soft Davies-Bouldin Separation Measure

Elisabetta Binaghi, Alberto A. Vergani, E. Binaghi, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A System to Filter Unwanted Messages from OSN User Walls

Barbara Carminati, Elena Ferrari, Elisabetta Binaghi, 2013, IEEE Transactions on Knowledge and Data Engineering.

Fuzzy Dempster-Shafer reasoning for rule-based classifiers

Elisabetta Binaghi, Paolo Madella, E. Binaghi, 1999, Int. J. Intell. Syst..

A vision‐based, 3D reconstruction technique for scanning electron microscopy: Direct comparison with atomic force microscopy

Ignazio Gallo, Elisabetta Binaghi, Mario Raspanti, 2005, Microscopy research and technique.

Snow cover thickness estimation using radial basis function networks

Elisabetta Binaghi, Valentina Pedoia, A. Guidali, 2013 .

Semi-blind image restoration using a local neural approach

Ignazio Gallo, Elisabetta Binaghi, Mario Raspanti, 2008, Neurocomputing.

Investigating the Behaviour of Neural and Fuzzy-Statistical Classifiers in Sub-Pixel Land Cover Estimations

Elisabetta Binaghi, Anna Rampini, Pietro Alessandro Brivio, 1999 .

Fuzzy neural network model for the estimation of subpixel land cover composition

Elisabetta Binaghi, Anna Rampini, Pietro Alessandro Brivio, 1998, Remote Sensing.

A knowledge-based environment for assessment of color similarity

Raimondo Schettini, Elisabetta Binaghi, Anna Della Ventura, 1990, [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence.

Resting state fMRI analysis using unsupervised learning algorithms

Elisabetta Binaghi, Alberto A. Vergani, Samuele Martinelli, 2019, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Comparison of the multilayer perceptron with neuro-fuzzy techniques in the estimation of cover class mixture in remotely sensed data

Elisabetta Binaghi, Palma Blonda, Anna Rampini, 2001, IEEE Trans. Geosci. Remote. Sens..

Neural adaptive stereo matching

Giuseppe Marino, Ignazio Gallo, Elisabetta Binaghi, 2004, Pattern Recognit. Lett..

A System to Filter Unwanted Messages from OSN User Walls

E. Ferrari, E. Binaghi, B. Carminati, 2013, IEEE Transactions on Knowledge and Data Engineering.

Glacial retreat in the 1980s in the Breonie, Aurine and Pusteresi groups (eastern Alps, Italy) in Landsat TM images

Elisabetta Binaghi, Anna Rampini, R. Rabagliati, 1999 .

An integrated fuzzy logic and web-based framework for active protocol support

Ignazio Gallo, Elisabetta Binaghi, Luca Levrini, 2008, Int. J. Medical Informatics.

Collection and fuzzy estimation of truth labels in glial tumour segmentation studies

Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi, 2016, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Approximate Reasoning and Multistrategy Learning for Multisource Remote Sensing Data Interpretation

Ignazio Gallo, Elisabetta Binaghi, Anna Rampini, 1999 .

Meningioma and peritumoral edema segmentation of preoperative MRI brain scans

Elisabetta Binaghi, Valentina Pedoia, Sergio Balbi, 2018, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Automatic MRI 2D brain segmentation using graph searching technique

Elisabetta Binaghi, Valentina Pedoia, V. Pedoia, 2013, International journal for numerical methods in biomedical engineering.

Affine SPHARM Registration - Neural Estimation of Affine Transformation in Spherical Domain

Ignazio Gallo, Elisabetta Binaghi, Valentina Pedoia, 2011, VISAPP.

Empirical learning for fuzzy knowledge acquisition

Elisabetta Binaghi, E. Binaghi, 1992 .

Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data

Elisabetta Binaghi, Mauro Guglielmin, Andrea Guidali, 2010, IDEAL.

Spectral/spatial data fusion and neural networks for vegetation understory information extraction from hyperspectral airborne images

Ignazio Gallo, Elisabetta Binaghi, Mirco Boschetti, 2004, SPIE Remote Sensing.

Learning of Uncertain Classification Rules in Medical Diagnosis

Elisabetta Binaghi, E. Binaghi, 1991, ECSQARU.

Learning of Uncertain Classification Rules in Biomedical Images: The Case of Colposcopic Images

Elisabetta Binaghi, Anna Rampini, A. Rampini, 1991, IPMI.

A fuzzy set-based accuracy assessment of soft classification

Elisabetta Binaghi, Anna Rampini, Pietro Alessandro Brivio, 1999, Pattern Recognit. Lett..

Glial brain tumor detection by using symmetry analysis

Elisabetta Binaghi, Valentina Pedoia, Renzo Minotto, 2012, Medical Imaging.