no code implementations • 26 Sep 2023 • Francesco Conti, Davide Moroni, Maria Antonietta Pascali
In this work, we develop a pipeline that associates Persistence Diagrams to digital data via the most appropriate filtration for the type of data considered.
no code implementations • 7 Sep 2023 • Francesco Conti, Martina Banchelli, Valentina Bessi, Cristina Cecchi, Fabrizio Chiti, Sara Colantonio, Cristiano D'Andrea, Marella de Angelis, Davide Moroni, Benedetta Nacmias, Maria Antonietta Pascali, Sandro Sorbi, Paolo Matteini
The cerebrospinal fluid (CSF) of 19 subjects who received a clinical diagnosis of Alzheimer's disease (AD) as well as of 5 pathological controls have been collected and analysed by Raman spectroscopy (RS).
1 code implementation • 4 Sep 2023 • Gabriele Martino, Davide Moroni, Massimo Martinelli
Autoencoders are certainly among the most studied and used Deep Learning models: the idea behind them is to train a model in order to reconstruct the same input data.
1 code implementation • 27 Jul 2023 • Ali Reza Omrani, Davide Moroni
Thanks to High Dynamic Range (HDR) imaging methods, the scope of photography has seen profound changes recently.
no code implementations • 6 Dec 2022 • Ali Reza Omrani, Davide Moroni
However, unfortunately, most methods for generating an HDR image from Multi-Exposure images only concentrate on how to combine different exposures and do not have any focus on choosing the best details of each image.
no code implementations • Frontiers in Artificial Intelligence 2022 • Antonio Bruno, Davide Moroni, Riccardo Dainelli, Leandro Rocchi, Silvia Morelli, Emilio Ferrari, Piero Toscano, Massimo Martinelli
Our method was tested on PlantVillage, a public reference dataset used for benchmarking models' performances for crop disease diagnostic, considering both its original and augmented versions.
Ranked #1 on Image Classification on PlantVillage
no code implementations • 8th International Workshop Image Mining: Theory and Applications 2022 • Antonio Bruno, Davide Moroni, Massimo Martinelli
Ensembling is a very well-known strategy consisting in fusing several different models to achieve a new model for classification or regression tasks.
no code implementations • Expert Systems, Wiley 2023 • Antonio Bruno, Davide Moroni, Massimo Martinelli
In recent times, with the exception of sporadic cases, the trend in Computer Vision is to achieve minor improvements compared to considerable increases in complexity.
Ranked #1 on Image Classification on Oxford-IIIT Pets
no code implementations • 4 Aug 2020 • Mario D'Acunto, Massimo Martinelli, Davide Moroni
Our contribution to the classification of osteosarcoma cells is made as follows: a DL approach is applied to discriminate human Mesenchymal Stromal Cells (MSCs) from osteosarcoma cells and to classify the different cell populations under investigation.