COLANTONIO, SARA
COLANTONIO, SARA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Shedding light on uncertainties in machine learning: formal derivation and optimal model selection
2025 Del Corso, G.; Colantonio, S.; Caudai, C.
Time series scribe: open-source platform for enhanced annotation in multi-channel signal processing
2025 Del Corso, G.; Kanka, S.; Bardelli, S.; Visaggi, P.; Colantonio, S.
U-ProBE: Uncertainty Probabilistic Bayesian Estimate
2025 Bandini, L.; Del Corso, G.; Colantonio, S.; Caudai, C.
A systematic review of few-shot learning in medical imaging
2024 Pachetti, E; Colantonio, S
Adaptive machine learning approach for importance evaluation of multimodal breast cancer radiomic features
2024 Del Corso, G.; Germanese, D.; Caudai, C.; Anastasi, G.; Belli, P.; Formica, A.; Nicolucci, A.; Palma, S.; Pascali, M. A.; Pieroni, S.; Trombadori, C.; Colantonio, S.; Franchini, M.; Molinaro, S.
AI for Photonics and Photonics for AI
2024 Ciacci, G.; D'Andrea, C.; Matteini, P.; Alessi, E. M.; Di Ruzza, S.; Pascali, M. A.; Colantonio, S.; Giannetti, A.; Barucci, A.
ANN uncertainty estimates in assessing fatty liver content from ultrasound data
2024 Del Corso, G.; Pascali, M. A.; Caudai, C.; De Rosa, L.; Salvati, A.; Mancini, M.; Ghiadoni, L.; Bonino, F.; Brunetto, M. R.; Colantonio, S.; Faita, F.
Boosting few-shot learning with disentangled self-supervised learning and meta-learning for medical image classification
2024 Pachetti, E.; Tsaftaris, S. A.; Colantonio, S.
Connectivity-inspired network for context-aware recognition
2024 Carloni, G.; Colantonio, S.
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
2024 Carloni, G.; Tsaftaris, S. A.; Colantonio, S.
EchoLocator: an open source Python package for the standardisation of echographic images in multicentre analysis
2024 Del Corso, G.; De Rosa, L.; Pascali, M. A.; Faita, F.; Colantonio, S.
Exploiting causality signals in medical images: a pilot study with empirical results
2024 Carloni, G.; Colantonio, S.
Facial landmark identification and data preparation can significantly improve the extraction of newborns' facial features
2024 Del Corso, G.; Germanese, D.; Pascali, M. A.; Bardelli, S.; Cuttano, A.; Festante, F.; Guzzetta, A.; Rocchitelli, L.; Colantonio, S.
Few-shot conditional learning: automatic and reliable device classification for medical test equipment
2024 Pachetti, E.; Del Corso, G.; Bardelli, S.; Colantonio, S.
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.
Hallucinating for diagnosing: one-shot medical image classification leveraging score-based generative models
2024 Pachetti, E.; 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.
Multiomics approach for patient stratification and novel target identification in metastatic clear cell renal carcinoma (Meet-URO 31)
2024 Stellato, M.; Procopio, G.; Romei, C.; Colantonio, S.; Cattaneo, L.; Claps, M.; Guadalupi, V.; Sepe, P.; Basso, U.; Buti, S.
NA DAtabase: generator of probabilistic synthetic geometrical shape dataset
2024 Volpini, F.; Caudai, C.; Del Corso, G.; Colantonio, S.
Optimizing medical image segmentation using a priori knowledge in attention mechanism-enriched convolutional neural networks
2024 Buongiorno, Rossana; Colantonio, Sara; Germanese, Danila; Ducange, Pietro
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Shedding light on uncertainties in machine learning: formal derivation and optimal model selection | 1-gen-2025 | Del Corso, G.; Colantonio, S.; Caudai, C. | |
| Time series scribe: open-source platform for enhanced annotation in multi-channel signal processing | 1-gen-2025 | Del Corso, G.; Kanka, S.; Bardelli, S.; Visaggi, P.; Colantonio, S. | |
| U-ProBE: Uncertainty Probabilistic Bayesian Estimate | 1-gen-2025 | Bandini, L.; Del Corso, G.; Colantonio, S.; Caudai, C. | |
| A systematic review of few-shot learning in medical imaging | 1-gen-2024 | Pachetti, E; Colantonio, S | |
| Adaptive machine learning approach for importance evaluation of multimodal breast cancer radiomic features | 1-gen-2024 | Del Corso, G.; Germanese, D.; Caudai, C.; Anastasi, G.; Belli, P.; Formica, A.; Nicolucci, A.; Palma, S.; Pascali, M. A.; Pieroni, S.; Trombadori, C.; Colantonio, S.; Franchini, M.; Molinaro, S. | |
| AI for Photonics and Photonics for AI | 1-gen-2024 | Ciacci, G.; D'Andrea, C.; Matteini, P.; Alessi, E. M.; Di Ruzza, S.; Pascali, M. A.; Colantonio, S.; Giannetti, A.; Barucci, A. | |
| ANN uncertainty estimates in assessing fatty liver content from ultrasound data | 1-gen-2024 | Del Corso, G.; Pascali, M. A.; Caudai, C.; De Rosa, L.; Salvati, A.; Mancini, M.; Ghiadoni, L.; Bonino, F.; Brunetto, M. R.; Colantonio, S.; Faita, F. | |
| Boosting few-shot learning with disentangled self-supervised learning and meta-learning for medical image classification | 1-gen-2024 | Pachetti, E.; Tsaftaris, S. A.; Colantonio, S. | |
| Connectivity-inspired network for context-aware recognition | 1-gen-2024 | Carloni, G.; Colantonio, S. | |
| CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning | 1-gen-2024 | Carloni, G.; Tsaftaris, S. A.; Colantonio, S. | |
| EchoLocator: an open source Python package for the standardisation of echographic images in multicentre analysis | 1-gen-2024 | Del Corso, G.; De Rosa, L.; Pascali, M. A.; Faita, F.; Colantonio, S. | |
| Exploiting causality signals in medical images: a pilot study with empirical results | 1-gen-2024 | Carloni, G.; Colantonio, S. | |
| Facial landmark identification and data preparation can significantly improve the extraction of newborns' facial features | 1-gen-2024 | Del Corso, G.; Germanese, D.; Pascali, M. A.; Bardelli, S.; Cuttano, A.; Festante, F.; Guzzetta, A.; Rocchitelli, L.; Colantonio, S. | |
| Few-shot conditional learning: automatic and reliable device classification for medical test equipment | 1-gen-2024 | Pachetti, E.; Del Corso, G.; Bardelli, S.; Colantonio, S. | |
| 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. | |
| Hallucinating for diagnosing: one-shot medical image classification leveraging score-based generative models | 1-gen-2024 | Pachetti, E.; 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. | |
| Multiomics approach for patient stratification and novel target identification in metastatic clear cell renal carcinoma (Meet-URO 31) | 1-gen-2024 | Stellato, M.; Procopio, G.; Romei, C.; Colantonio, S.; Cattaneo, L.; Claps, M.; Guadalupi, V.; Sepe, P.; Basso, U.; Buti, S. | |
| NA DAtabase: generator of probabilistic synthetic geometrical shape dataset | 1-gen-2024 | Volpini, F.; Caudai, C.; Del Corso, G.; Colantonio, S. | |
| Optimizing medical image segmentation using a priori knowledge in attention mechanism-enriched convolutional neural networks | 1-gen-2024 | Buongiorno, Rossana; Colantonio, Sara; Germanese, Danila; Ducange, Pietro |