Gabriele Candiani

27 papers C 6Journal 11Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	Active Learning Strategies for Remote Sensing Estimation of Agronomic Parameters with Limited Calibration Data. IGARSS Donato Amitrano, Gabriele Candiani, Luca Cicala, Marco De Mizio, Francesco Tufano
2024	—	`conf`	Crop Traits Retrival from Prisma Imagery with Machine Learning: A Comparison of Data Driven and Hybrid Approach with a Multi-Year Multi-Crop Dataset. WHISPERS Gabriele Candiani, Francesco Nutini, Lorenzo Parigi, Monica Pepe, Mirco Boschetti
2024	—	`conf`	Retrieval of Wheat Traits from Prisma Data Through Neural Networks with Different Training Setups. WHISPERS Lorenzo Parigi, Gabriele Candiani, Mirco Boschetti
2024	J	`jnl`	Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA and Dimensionality Reduction Techniques for Transferring Hyperspectral Proximal-Based Model to Airborne Images. Remote. Sens. Ramin Heidarian Dehkordi, Gabriele Candiani, Francesco Nutini, Federico Carotenuto, Beniamino Gioli, Carla Cesaraccio, Mirco Boschetti
2024	C	`conf`	Towards crop traits estimation from hyperspectral data: evaluation of neural network models trained with real multi-site data or synthetic RTM simulations. FedCSIS Lorenzo Parigi, Gabriele Candiani, Ignazio Gallo, Piero Toscano, Mirco Boschetti
2024	J	`jnl`	Vegetation Biomass and Nitrogen Content Estimation Using Ensembles: Regression and Active Learning Strategies for Field Sampling Reduction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Donato Amitrano, Gabriele Candiani, Luca Cicala, Marco De Mizio, Francesco Tufano
2023	—	`conf`	Assessing Wheat Yield and Grain Protein Content with Machine Learning and Satellite Hyperspectral Data: Multi-Year Explorative Analysis. WHISPERS Marina Ranghetti, Mirco Boschetti, Francesco Nutini, Micol Rossini, Gabriele Candiani
2023	J	`jnl`	Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images. Remote. Sens. Ignazio Gallo, Mirco Boschetti, Anwar Ur Rehman, Gabriele Candiani
2023	J	`jnl`	The Influence of Plasmodesmata Number and Opening State on Molecular Transports in Plants. IEEE Trans. Mol. Biol. Multi Scale Commun. Beatrice Ruzzante, Alessandro Piscopo, Svyatoslav Salo, Maurizio Magarini, Gabriele Candiani
2022	J	`jnl`	Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission. Remote. Sens. Gabriele Candiani, Giulia Tagliabue, Cinzia Panigada, Jochem Verrelst, Valentina Picchi, Juan Pablo Rivera Caicedo, Mirco Boschetti
2022	—	`conf`	Multi Crop Estimation of LAI from Sentinel-2 VIs with Parametric Regression Approach: Comparison of Performances and VIs Sensitivity. ASITA Margherita De Peppo, Francesco Nutini, Gabriele Candiani, Giorgio Ragaglini, Andrea Taramelli, Federico Filipponi, Mirco Boschetti
2022	—	`conf`	Retrieving Biophysical And Biochemical Crop Traits Using Continuum-Removed Absorption Features From Hyperspectral Proximal Sensing. WHISPERS Ramin Heidarian Dehkordi, Francesco Nutini, Simone Mereu, Gabriele Candiani, Margherita De Peppo, Mirco Boschetti
2021	C	`conf`	Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation. IGARSS Jochem Verrelst, Charlotte De Grave, Eatidal Amin, Pablo Reyes, Miguel Morata, Enrique Portales, Santiago Belda, Giulia Tagliabue, Cinzia Panigada, Mirco Boschetti, Gabriele Candiani, Karl Segl, Stephane Guillasso, Katja Berger, Matthias Wocher, Tobias Hank, Uwe Rascher, Claudia Isola
2017	J	`jnl`	Characterization of Fine Metal Particles Derived from Shredded WEEE Using a Hyperspectral Image System: Preliminary Results. Sensors Gabriele Candiani, Nicoletta Picone, Loredana Pompilio, Monica Pepe, Marcello Colledani
2015	J	`jnl`	A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity. Remote. Sens. Mar Bisquert, Gloria Bordogna, Agnès Bégué, Gabriele Candiani, Maguelonne Teisseire, Pascal Poncelet
2015	—	`conf`	Characterization of fine metal particles using hyperspectral imaging in automatic weee recycling systems. WHISPERS Gabriele Candiani, Nicoletta Picone, Loredana Pompilio, Monica Pepe, Marcello Colledani
2015	C	`conf`	Geolithological mapping of carbonate system deposits for hydrocarbon exploration using hyperspectral imagery. IGARSS Monica Pepe, Mirco Boschetti, Gabriele Candiani, Paolo Villa, Fabrizio Piero Righetti, Valentina Clementi
2015	J	`jnl`	Mapping of Asbestos Cement Roofs and Their Weathering Status Using Hyperspectral Aerial Images. ISPRS Int. J. Geo Inf. Chiara Cilia, Cinzia Panigada, Micol Rossini, Gabriele Candiani, Monica Pepe, Roberto Colombo
2014	J	`jnl`	Evaporative Fraction as an Indicator of Moisture Condition and Water Stress Status in Semi-Arid Rangeland Ecosystems. Remote. Sens. Francesco Nutini, Mirco Boschetti, Gabriele Candiani, Stefano Bocchi, Pietro Alessandro Brivio
2014	—	`conf`	Hyperdimensional data exploitation through parametric reduction. WHISPERS Loredana Pompilio, Monica Pepe, Gabriele Candiani
2014	J	`jnl`	Mapping Asbestos-Cement Roofing with Hyperspectral Remote Sensing over a Large Mountain Region of the Italian Western Alps. Sensors Federico Frassy, Gabriele Candiani, Marco Rusmini, Pieralberto Maianti, Andrea Marchesi, Francesco Rota Nodari, Giorgio Dalla Via, Carlo Albonico, Marco Gianinetto
2012	C	`conf`	Airborne remote sensing for mapping asbestos roofs in aosta valley. IGARSS Federico Frassy, Gabriele Candiani, Pieralberto Maianti, Andrea Marchesi, Francesco Rota Nodari, Marco Rusmini, Carlo Albonico, Marco Gianinetto
2012	J	`jnl`	BOMBER: A tool for estimating water quality and bottom properties from remote sensing images. Comput. Geosci. Claudia Giardino, Gabriele Candiani, Mariano Bresciani, ZhongPing Lee, Stefano Gagliano, Monica Pepe
2012	C	`conf`	High-resolution SAR and high-resolution optical data integration for sub-urban land-cover classification. IGARSS Marco Rusmini, Gabriele Candiani, Federico Frassy, Pieralberto Maianti, Andrea Marchesi, Francesco Rota Nodari, Luigi Dini, Marco Gianinetto
2010	—	`conf`	Off-line Data Assimilation to provide the best estimate of tropospheric ozone concentrations by means of EnKF. CDC Gabriele Candiani, Claudio Carnevale, Giovanna Finzi, Enrico Pisoni, Marialuisa Volta
2009	—	`conf`	Assimilation of Chemical Ground Measurements in Air Quality Modeling. LSSC Gabriele Candiani, Claudio Carnevale, Enrico Pisoni, Marialuisa Volta
2009	—	`conf`	Optimal interpolation to re-analyse PM10 concentration modelling simulations. CDC Gabriele Candiani, Claudio Carnevale, Veronica Filisina, Giovanna Finzi, Enrico Pisoni, Marialuisa Volta

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.