Conti, Francesco
Conti, Francesco
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
A bridge between persistent homology and group equivariant non-expansive operators: theory and applications
2024 Conti, F.; Frosini, P.; Moroni, D.; Pascali, M. A.
Advancing sustainability: research initiatives at the Signals and Images Lab
2024 Bruno, A.; Caudai, C.; Conti, F.; Leone, G. R.; Magrini, M.; Martinelli, M.; Moroni, D.; Muhammad A., Ch; Papini, O.; Pascali, M. A.; Pieri, G.; Reggiannini, M.; Righi, M.; Salerno, E.; Scozzari, A.; Tampucci, M.
Drivers of vascular plant, bryophyte and lichen richness in grasslands along a precipitation gradient (central Apennines, Italy)
2024 Cancellieri, L.; Sperandii, M. G.; Rosati, L.; Bellisario, B.; Franceschini, C.; Aleffi, M.; Bartolucci, F.; Becker, T.; Belonovskaya, E.; Berastegi, A.; Biurrun, I.; Brunetti, M.; Buckle, C.; Che, R.; Conti, F.; Dembicz, I.; Fanni, S.; Fantinato, E.; Frank, D.; Frattaroli, A. R.; Garcia-Mijangos, I.; Guglielmino, A.; Janisova, M.; Maestri, S.; Magnes, M.; Potenza, G.; Primi, R.; Sobolev, N.; Tsarevskaya, N.; Vacca, A.; Dengler, J.; Filibeck, G.
From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment
2024 Berti, A.; Buongiorno, R.; Carloni, G.; Caudai, C.; Conti, F.; Del Corso, G.; Germanese, D.; Moroni, D.; Pachetti, E.; Pascali, M. A.; Colantonio, S.
Harnessing topological machine learning in Raman spectroscopy: perspectives for Alzheimer’s disease detection via cerebrospinal fluid analysis
2024 Conti, F.; Banchelli, M.; Bessi, V.; Cecchi, C.; Chiti, F.; Colantonio, S.; D'Andrea, C.; de Angelis, M.; Moroni, D.; Nacmias, B.; Pascali, M. A.; Sorbi, S.; Matteini, P.
Alzheimer disease detection from Raman spectroscopy of the cerebrospinal fluid via topological machine learning
2023 Conti, F; Banchelli, M; Bessi, V; Cecchi, C; Chiti, F; Colantonio, S; D'Andrea, C; de Angelis, M; Moroni, D; Nacmias, B; Pascali, Ma; Sorbi, S; Matteini, P
Alzheimer disease detection from Raman spectroscopy of the cerebrospinal fluid via topological machine learning
2023 Conti, F; Banchelli, M; Bessi, V; Cecchi, C; Chiti, F; Colantonio, S; D'Andrea, C; de Angelis, M; Moroni, D; Nacmias, B; Pascali, Ma; Sorbi, S; Matteini, P
Analysis of sea surface temperature maps via topological machine learning
2023 Conti, F; Papini, O; Moroni, D; Pieri, G; Reggiannini, M; Pascali, M A
Raman spectroscopy and topological machine learning for cancer grading
2023 Conti F.; D'Acunto M.; Caudai C.; Colantonio C.; Gaeta R.; Moroni D.; Pascali M.A.
A topological machine learning pipeline for classification
2022 Conti, F; Moroni, D; Pascali, Ma
A topological pipeline for machine learning
2022 Conti F.
On the construction of group equivariant non-expansive operators via permutants and symmetric functions
2022 Conti, F; Frosini, P; Quercioli, N
SI-Lab annual research report 2021
2022 Righi, M; Leone, GIUSEPPE RICCARDO; Carboni, A; Caudai, C; Colantonio, S; Kuruoglu, ERCAN ENGIN; Leporini, B; Magrini, M; Paradisi, P; Pascali, MARIA ANTONIETTA; Pieri, G; Reggiannini, M; Salerno, E; Scozzari, A; Tonazzini, A; Fusco, G; Galesi, G; Martinelli, M; Pardini, F; Tampucci, M; Berti, A; Bruno, A; Buongiorno, R; Carloni, G; Conti, F; Germanese, D; Ignesti, G; Matarese, F; Omrani, A; Pachetti, E; Papini, O; Benassi, A; Bertini, G; Coltelli, P; Tarabella, L; Straface, S; Salvetti, O; Moroni, D
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A bridge between persistent homology and group equivariant non-expansive operators: theory and applications | 1-gen-2024 | Conti, F.; Frosini, P.; Moroni, D.; Pascali, M. A. | |
Advancing sustainability: research initiatives at the Signals and Images Lab | 1-gen-2024 | Bruno, A.; Caudai, C.; Conti, F.; Leone, G. R.; Magrini, M.; Martinelli, M.; Moroni, D.; Muhammad A., Ch; Papini, O.; Pascali, M. A.; Pieri, G.; Reggiannini, M.; Righi, M.; Salerno, E.; Scozzari, A.; Tampucci, M. | |
Drivers of vascular plant, bryophyte and lichen richness in grasslands along a precipitation gradient (central Apennines, Italy) | 1-gen-2024 | Cancellieri, L.; Sperandii, M. G.; Rosati, L.; Bellisario, B.; Franceschini, C.; Aleffi, M.; Bartolucci, F.; Becker, T.; Belonovskaya, E.; Berastegi, A.; Biurrun, I.; Brunetti, M.; Buckle, C.; Che, R.; Conti, F.; Dembicz, I.; Fanni, S.; Fantinato, E.; Frank, D.; Frattaroli, A. R.; Garcia-Mijangos, I.; Guglielmino, A.; Janisova, M.; Maestri, S.; Magnes, M.; Potenza, G.; Primi, R.; Sobolev, N.; Tsarevskaya, N.; Vacca, A.; Dengler, J.; Filibeck, G. | |
From Covid-19 detection to cancer grading: how medical-AI is boosting clinical diagnostics and may improve treatment | 1-gen-2024 | Berti, A.; Buongiorno, R.; Carloni, G.; Caudai, C.; Conti, F.; Del Corso, G.; Germanese, D.; Moroni, D.; Pachetti, E.; Pascali, M. A.; Colantonio, S. | |
Harnessing topological machine learning in Raman spectroscopy: perspectives for Alzheimer’s disease detection via cerebrospinal fluid analysis | 1-gen-2024 | Conti, F.; Banchelli, M.; Bessi, V.; Cecchi, C.; Chiti, F.; Colantonio, S.; D'Andrea, C.; de Angelis, M.; Moroni, D.; Nacmias, B.; Pascali, M. A.; Sorbi, S.; Matteini, P. | |
Alzheimer disease detection from Raman spectroscopy of the cerebrospinal fluid via topological machine learning | 1-gen-2023 | Conti, F; Banchelli, M; Bessi, V; Cecchi, C; Chiti, F; Colantonio, S; D'Andrea, C; de Angelis, M; Moroni, D; Nacmias, B; Pascali, Ma; Sorbi, S; Matteini, P | |
Alzheimer disease detection from Raman spectroscopy of the cerebrospinal fluid via topological machine learning | 1-gen-2023 | Conti, F; Banchelli, M; Bessi, V; Cecchi, C; Chiti, F; Colantonio, S; D'Andrea, C; de Angelis, M; Moroni, D; Nacmias, B; Pascali, Ma; Sorbi, S; Matteini, P | |
Analysis of sea surface temperature maps via topological machine learning | 1-gen-2023 | Conti, F; Papini, O; Moroni, D; Pieri, G; Reggiannini, M; Pascali, M A | |
Raman spectroscopy and topological machine learning for cancer grading | 1-gen-2023 | Conti F.; D'Acunto M.; Caudai C.; Colantonio C.; Gaeta R.; Moroni D.; Pascali M.A. | |
A topological machine learning pipeline for classification | 1-gen-2022 | Conti, F; Moroni, D; Pascali, Ma | |
A topological pipeline for machine learning | 1-gen-2022 | Conti F. | |
On the construction of group equivariant non-expansive operators via permutants and symmetric functions | 1-gen-2022 | Conti, F; Frosini, P; Quercioli, N | |
SI-Lab annual research report 2021 | 1-gen-2022 | Righi, M; Leone, GIUSEPPE RICCARDO; Carboni, A; Caudai, C; Colantonio, S; Kuruoglu, ERCAN ENGIN; Leporini, B; Magrini, M; Paradisi, P; Pascali, MARIA ANTONIETTA; Pieri, G; Reggiannini, M; Salerno, E; Scozzari, A; Tonazzini, A; Fusco, G; Galesi, G; Martinelli, M; Pardini, F; Tampucci, M; Berti, A; Bruno, A; Buongiorno, R; Carloni, G; Conti, F; Germanese, D; Ignesti, G; Matarese, F; Omrani, A; Pachetti, E; Papini, O; Benassi, A; Bertini, G; Coltelli, P; Tarabella, L; Straface, S; Salvetti, O; Moroni, D |