Efficient Receivers for q-ary LDPC Coded Signals over Partial Response Channels. - Andrea Marinoni; Pietro Savazzi (ICC, 2010)

On q-ary LDPC Code Design for a Low Error Floor. - Andrea Marinoni; Pietro Savazzi; Richard D. Wesel (GLOBECOM, 2011)

Efficient detection and decoding of q-ary LDPC coded signals over partial response channels. - Andrea Marinoni; Pietro Savazzi; Paolo Gamba (EURASIP J. Wirel. Commun. Netw., 2013)

Kimimila: A New Model to Classify NGS Short Reads by Their Allele Origin. - Andrea Marinoni; Ettore Rizzo; Paolo Gamba; Riccardo Bellazzi; Ivan Limongelli (ICHI, 2014)

Non-linear hyperspectral unmixing by polytope decomposition. - Andrea Marinoni; Paolo Gamba (WHISPERS, 2014)

Integrating multiple nonlinear estimators into hyperspectral unmixing. - Andrea Marinoni; Javier Plaza; Antonio Plaza; Paolo Gamba (WHISPERS, 2014)

Inferring air quality maps from remotely sensed data to exploit georeferenced clinical onsets: The Pavia 2013 case. - Andrea Marinoni; Arianna Dagliati; Riccardo Bellazzi; Paolo Gamba (IGARSS, 2015)

Nonlinear endmember extraction in earth observations and astroinformatics data interpretation and compression. - Andrea Marinoni; Paolo Gamba (IGARSS, 2015)

On the effect of nonlinear mixing in hyperspectral images of human settlements. - Andrea Marinoni; Paolo Gamba (JURSE, 2015)

On The Correlation Between Geo-Referenced Clinical Data And Remotely Sensed Air Pollution Maps. - Arianna Dagliati; Andrea Marinoni; Carlo Cerra; Paolo Gamba; Riccardo Bellazzi (MedInfo, 2015)

Order-∞ nonlinear hyperspectral unmixing by sinusoidal polytope decomposition. - Andrea Marinoni; Paolo Gamba (WHISPERS, 2015)

Characterizing dark spectra in mercury surface observations by nonlinear hyperspectral modeling. - Andrea Marinoni; Rachel L. Klima; Paolo Gamba (WHISPERS, 2015)

A kinetic model-based algorithm to classify NGS short reads by their allele origin. - Andrea Marinoni; Ettore Rizzo; Ivan Limongelli; Paolo Gamba; Riccardo Bellazzi (J. Biomed. Informatics, 2015)

A Novel Approach for Efficient p-Linear Hyperspectral Unmixing. - Andrea Marinoni; Paolo Gamba (IEEE J. Sel. Top. Signal Process., 2015)

An Efficient Approach for Local Affinity Pattern Detection in Remotely Sensed Big Data. - Andrea Marinoni; Paolo Gamba (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Nonlinear Hyperspectral Unmixing Using Nonlinearity Order Estimation and Polytope Decomposition. - Andrea Marinoni; Javier Plaza; Antonio Plaza; Paolo Gamba (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

On the detection of linear mixtures in hyperspectral images. - Andrea Marinoni; Antonio J. Plaza; Paolo Gamba (IGARSS, 2016)

Identification of mafic minerals on Mars by nonlinear hyperspectral unmixing. - Andrea Marinoni; Harold Clenet (WHISPERS, 2016)

An iterative enhancement of higher order nonlinear mixture model for accurate hyperspectral unmixing. - Andrea Marinoni; Javier Plaza; Antonio Plaza; Paolo Gamba (WHISPERS, 2016)

A New Algorithm for Bilinear Spectral Unmixing of Hyperspectral Images Using Particle Swarm Optimization. - Wenfei Luo; Lianru Gao; Antonio Plaza; Andrea Marinoni; Bin Yang 012; Liang Zhong; Paolo Gamba; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Accurate Detection of Anthropogenic Settlements in Hyperspectral Images by Higher Order Nonlinear Unmixing. - Andrea Marinoni; Paolo Gamba (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Harmonic Mixture Modeling for Efficient Nonlinear Hyperspectral Unmixing. - Andrea Marinoni; Antonio Plaza; Paolo Gamba (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

On the direct assessment of endmember fractions in hyperspectral images. - Andrea Marinoni; Paolo Gamba (IGARSS, 2017)

Nonnegative sparse autoencoder for robust endmember extraction from remotely sensed hyperspectral images. - Yuanchao Su; Andrea Marinoni; Jun Li 009; Antonio Plaza; Paolo Gamba (IGARSS, 2017)

Nonlinear hyperspectral unmixing based on normalized P-linear algorithm. - Maofeng Tang; Lianru Gao; Andrea Marinoni; Bing Zhang 001 (IGARSS, 2017)

Higher Order Nonlinear Hyperspectral Unmixing for Mineralogical Analysis Over Extraterrestrial Bodies. - Andrea Marinoni; Harold Clenet (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Unsupervised Data Driven Feature Extraction by Means of Mutual Information Maximization. - Andrea Marinoni; Paolo Gamba (IEEE Trans. Computational Imaging, 2017)

An Information Theory-Based Scheme for Efficient Classification of Remote Sensing Data. - Andrea Marinoni; Gianni Cristian Iannelli; Paolo Gamba (IEEE Trans. Geosci. Remote. Sens., 2017)

A Novel Preunmixing Framework for Efficient Detection of Linear Mixtures in Hyperspectral Images. - Andrea Marinoni; Antonio Plaza; Paolo Gamba (IEEE Trans. Geosci. Remote. Sens., 2017)

Structural Optimization For Accurate Characterization Of Urban Areas In Hyperspectral Datasets. - Andrea Marinoni; Paolo Gamba (IGARSS, 2018)

Discovering Temporal Patterns of Air Quality in Different Parts of Europe with Data Driven Feature Extraction. - Andrea Marinoni; Paolo Gamba; Daniele De Vecchi; Devis Tuia (IGARSS, 2018)

Deep Auto-Encoder Network for Hyperspectral Image Unmixing. - Yuanchao Su; Jun Li 009; Antonio Plaza; Andrea Marinoni; Paolo Gamba; Yuancheng Huang (IGARSS, 2018)

Stacked Nonnegative Sparse Autoencoders for Robust Hyperspectral Unmixing. - Yuanchao Su; Andrea Marinoni; Jun Li 009; Javier Plaza; Paolo Gamba (IEEE Geosci. Remote. Sens. Lett., 2018)

Multiharmonic Postnonlinear Mixing Model for Hyperspectral Nonlinear Unmixing. - Maofeng Tang; Bing Zhang 001; Andrea Marinoni; Lianru Gao; Paolo Gamba (IEEE Geosci. Remote. Sens. Lett., 2018)

An Improved Spatial and Temporal Reflectance Unmixing Model to Synthesize Time Series of Landsat-Like Images. - Jianhang Ma; Wenjuan Zhang 003; Andrea Marinoni; Lianru Gao; Bing Zhang 001 (Remote. Sens., 2018)

Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network. - Xuran Pan; Lianru Gao; Andrea Marinoni; Bing Zhang 001; Fan Yang; Paolo Gamba (Remote. Sens., 2018)

Integrating Spatial Information in the Normalized P-Linear Algorithm for Nonlinear Hyperspectral Unmixing. - Maofeng Tang; Lianru Gao; Andrea Marinoni; Paolo Gamba; Bing Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Estimating Nonlinearities in p-Linear Hyperspectral Mixtures. - Andrea Marinoni; Javier Plaza; Antonio Plaza; Paolo Gamba (IEEE Trans. Geosci. Remote. Sens., 2018)

Assessment of Polarimetric Variability by Distance Geometry for Enhanced Classification of Oil Slicks Using SAR. - Andrea Marinoni; Martine Mostervik Espeseth; Paolo Gamba; Camilla Brekke; Torbjørn Eltoft (IGARSS, 2019)

Mapping Mineral Abundances on the Moon Surface using Chang'E-1 IIM Data. - David Marzi; Andrea Marinoni; Paolo Gamba (IGARSS, 2019)

Human settlement and infrastructure monitoring with hyperspectral imaging. - Andrea Marinoni; Uta Heiden; Paolo Gamba (JURSE, 2019)

Bilinear normal mixing model for spectral unmixing. - Wenfei Luo; Lianru Gao; Ruihao Zhang; Andrea Marinoni; Bing Zhang 001 (IET Image Process., 2019)

Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples. - Shuyuan Xu; Jun Li 009; Mahdi Khodadadzadeh; Andrea Marinoni; Paolo Gamba; Bo Li 006 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Improving Reliability in Nonlinear Hyperspectral Unmixing by Multidimensional Structural Optimization. - Andrea Marinoni; Paolo Gamba (IEEE Trans. Geosci. Remote. Sens., 2019)

DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing. - Yuanchao Su; Jun Li 009; Antonio Plaza; Andrea Marinoni; Paolo Gamba; Somdatta Chakravortty (IEEE Trans. Geosci. Remote. Sens., 2019)

Addressing Reliability of Multimodal Remote Sensing to Enhance Multisensor Data Fusion and Transfer Learning. - Andrea Marinoni; Saloua Chlaily; Christian Jutten (IGARSS, 2020)

On the Optimal Design of Convolutional Neural Networks for Earth Observation Data Analysis by Maximization of Information Extraction. - Andrea Marinoni; Gianni Cristian Iannelli; Salman Khaleghian; Paolo Gamba (IGARSS, 2020)

Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning. - Yao Liu 012; Lianru Gao; Chenchao Xiao; Ying Qu 001; Ke Zheng; Andrea Marinoni (Remote. Sens., 2020)

Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps. - Zhicheng Wang; Lina Zhuang; Lianru Gao; Andrea Marinoni; Bing Zhang 001; Michael K. Ng 001 (Remote. Sens., 2020)

A Novel Rayleigh Dynamical Model for Remote Sensing Data Interpretation. - Fábio M. Bayer; Débora M. Bayer; Andrea Marinoni; Paolo Gamba (IEEE Trans. Geosci. Remote. Sens., 2020)

Combined InSAR and Terrestrial Structural Monitoring of Bridges. - Sivasakthy Selvakumaran; Cristian Rossi; Andrea Marinoni; Graham Webb; John Bennetts; Elena Barton; Simon Plank; Campbell R. Middleton (IEEE Trans. Geosci. Remote. Sens., 2020)

Uncertainty-Aware Graph-Based Multimodal Remote Sensing Detection of Out-Of-Distribution Samples. - Iain Rolland; Andrea Marinoni; Sivasakthy Selvakumaran (CIKM Workshops, 2021)

On the Exploitation of Heterophily in Graph-Based Multimodal Remote Sensing Data Analysis. - Catherine Taelman; Saloua Chlaily; Eduard Khachatrian; Fons van der Sommen; Andrea Marinoni (CIKM Workshops, 2021)

Unsupervised Band Selection for Hyperspectral Datasets by Double Graph Laplacian Diagonalization. - Eduard Khachatrian; Saloua Chlaily; Torbjørn Eltoft; Paolo Gamba; Andrea Marinoni (IGARSS, 2021)

Structural Health Monitoring on Urban Areas by Using Multi Temporal Insar and Deep Learning. - Gabriel Martín; Sivasakthy Selvakumaran; Andrea Marinoni; Zahra Sadeghi; Campbell R. Middleton (IGARSS, 2021)

A Noise-Aware Deep Learning Model for Sea Ice Classification Based on Sentinel-1 Sar Imagery. - Habib Ullah; Salman Khaleghian; Thomas Krämer; Torbjørn Eltoft; Andrea Marinoni (IGARSS, 2021)

On Enhanced Ensemble Learning for Multimodal Remote Sensing Data Analysis by Capacity Optimization. - Saloua Chlaily; Dino Ienco; Christian Jutten; Andrea Marinoni (SSP, 2021)

Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction. - Andrea Marinoni; Saloua Chlaily; Eduard Khachatrian; Torbjørn Eltoft; Sivasakthy Selvakumaran; Mark Girolami; Christian Jutten (CoRR, 2021)

Improving Global Forest Mapping by Semi-automatic Sample Labeling with Deep Learning on Google Earth Images. - Qian Shi 001; Xiaolei Qin; Lingyu Sun; Zitao Shen; Xiaoping Liu 001; Xiaocong Xu; Jiaxin Tian; Rong Liu; Andrea Marinoni (CoRR, 2021)

A graph representation based on fluid diffusion model for multimodal data analysis: theoretical aspects and enhanced community detection. - Andrea Marinoni; Christian Jutten; Mark Girolami (CoRR, 2021)

Sea Ice Classification of SAR Imagery Based on Convolution Neural Networks. - Salman Khaleghian; Habib Ullah; Thomas Krämer; Nick Hughes 001; Torbjørn Eltoft; Andrea Marinoni (Remote. Sens., 2021)

ExtremeEarth Meets Satellite Data From Space. - Desta Haileselassie Hagos; Theofilos Kakantousis; Vladimir Vlassov; Sina Sheikholeslami; Tianze Wang; Jim Dowling; Claudia Paris; Daniele Marinelli; Giulio Weikmann; Lorenzo Bruzzone; Salman Khaleghian; Thomas Krämer; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Automatic Selection of Relevant Attributes for Multi-Sensor Remote Sensing Analysis: A Case Study on Sea Ice Classification. - Eduard Khachatrian; Saloua Chlaily; Torbjørn Eltoft; Wolfgang Dierking; Frode Dinessen; Andrea Marinoni (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Multimodal Feature Selection Method for Remote Sensing Data Analysis Based on Double Graph Laplacian Diagonalization. - Eduard Khachatrian; Saloua Chlaily; Torbjørn Eltoft; Andrea Marinoni (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Deep Semisupervised Teacher-Student Model Based on Label Propagation for Sea Ice Classification. - Salman Khaleghian; Habib Ullah; Thomas Krämer; Torbjørn Eltoft; Andrea Marinoni (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Capacity and Limits of Multimodal Remote Sensing: Theoretical Aspects and Automatic Information Theory-Based Image Selection. - Saloua Chlaily; Mauro Dalla Mura; Jocelyn Chanussot; Christian Jutten; Paolo Gamba; Andrea Marinoni (IEEE Trans. Geosci. Remote. Sens., 2021)

Impacts of Gas Flaring to the Vegetation Changes in West Siberia Area and Timan Pechora Basins. - Yubao Qiu; Feng Xiahou; Guoqiang Jia; Andrea Marinoni; Qinghuan Li; Huadong Guo (IGARSS, 2022)

Remote Sensing for Search and Rescue Operations: Two Methods Studying the 2020 Beirut Blast. - Sivasakthy Selvakumaran; Iain Rolland; Luke Cullen; Andrea Marinoni (IGARSS, 2022)

AFSD: Adaptive Feature Space Distillation for Distributed Deep Learning. - Salman Khaleghian; Habib Ullah; Einar Broch Johnsen; Anders Andersen; Andrea Marinoni (IEEE Access, 2022)

Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions. - Mengxi Liu; Qian Shi 001; Andrea Marinoni; Da He; Xiaoping Liu 001; Liangpei Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Incorporating Reliability in Graph Information Propagation by Fluid Dynamics Diffusion: A case of Multimodal Semisupervised Deep Learning. - Andrea Marinoni; Marine Mercier; Qian Shi 001; Sivasakthy Selvakumaran; Mark Girolami (ICASSP, 2023)

Improving embedding of graphs with missing data by soft manifolds. - Andrea Marinoni; Pietro Lio'; Alessandro Barp; Christian Jutten; Mark Girolami (CoRR, 2023)

A Generalized Geodesic Distance-Based Approach for Analysis of SAR Observations Across Polarimetric Modes. - Debanshu Ratha; Andrea Marinoni; Torbjørn Eltoft (IEEE Trans. Geosci. Remote. Sens., 2023)

On Measures of Uncertainty in Classification. - Saloua Chlaily; Debanshu Ratha; Pigi Lozou; Andrea Marinoni (IEEE Trans. Signal Process., 2023)

Responsible AI for Earth Observation. - Pedram Ghamisi; Weikang Yu; Andrea Marinoni; Caroline M. Gevaert; Claudio Persello; Sivasakthy Selvakumaran; Manuela Girotto; Benjamin P. Horton; Philippe Rufin; Patrick Hostert; Fabio Pacifici; Peter M. Atkinson (CoRR, 2024)

Graph-Based Propagation for Multispectral Remote Sensing Image Completion. - Iain Rolland; Sivasakthy Selvakumaran; Andrea Marinoni (IEEE Trans. Geosci. Remote. Sens., 2025)