Archivio Istituzionale della RicercaFICARRA, ELISA
W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
2023 Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa
A survey on data integration for multi-omics sample clustering
2022 Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G.
Identifying the oncogenic potential of gene fusions exploiting miRNAs
2022 Lovino, Marta; Montemurro, Marilisa; Barrese, VENERE SABRINA; Ficarra, Elisa
LaRA 2: parallel and vectorized program for sequence–structure alignment of RNA sequences
2022 Winkler, Jörg.; Urgese, Gianvito.; Ficarra, Elisa.; Reinert, Knut
A Bayesian approach to Expert Gate Incremental Learning
2021 Mieuli, Valerio; Ponzio, Francesco; Mascolini, Alessio; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa
A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images
2021 Mascolini, Alessio; Puzzo, S.; Incatasciato, G.; Ponzio, F.; Ficarra, E.; Di Cataldo, S.
Exploration of Convolutional Neural Network models for source code classification
2021 Barchi, F.; Parisi, E.; Urgese, G.; Ficarra, E.; Acquaviva, A.
Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions
2021 DI CATALDO, Santa; Vinco, Sara; Urgese, Gianvito; Calignano, Flaviana; Ficarra, Elisa; Macii, Alberto; Macii, Enrico
PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity
2021 Montemurro, Marilisa; Grassi, Elena; Pizzino, Carmelo Gabriele; Bertotti, Andrea; Ficarra, Elisa; Urgese, Gianvito
BioSeqZip: a collapser of NGS redundant reads for the optimisation of sequence analysis
2020 Urgese, Gianvito; Parisi, Emanuele; Scicolone, Orazio; Di Cataldo, Santa; Ficarra, Elisa
Cytoarchitectural analysis of the neuron-to-glia association in the dorsal root ganglia of normal and diabetic mice
2020 Ciglieri, Elisa; Vacca, Maurizia; Ferrini, Francesco; Atteya, Mona A; Aimar, Patrizia; Ficarra, Elisa; Di Cataldo, Santa; Merighi, Adalberto; Salio, Chiara
DEEPrior: a deep learning tool for the prioritization of gene fusions
2020 Lovino, Marta; Ciaburri, Maria Serena; Urgese, Gianvito; Di Cataldo, Santa; Ficarra, Elisa
Effective evaluation of clustering algorithms on single-cell CNA data
2020 Montemurro, Marilisa; Urgese, Gianvito; Grassi, Elena; Pizzino, Carmelo Gabriele; Bertotti, Andrea; Ficarra, Elisa
Exploiting "uncertain" deep networks for data cleaning in digital pathology
2020 Ponzio, Francesco; Deodato, Giacomo; Macii, Enrico; DI CATALDO, Santa; Ficarra, Elisa
Multi-omics classification on kidney samples exploiting uncertainty-aware models
2020 Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa
Predicting the oncogenic potential of gene fusions using convolutional neural networks
2020 Lovino, Marta; Urgese, Gianvito; Macii, Enrico; DI CATALDO, Santa; Ficarra, Elisa
Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network
2020 Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo
A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans
2019 Lovino, Marta; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa
Aneuploid acute myeloid leukemia exhibits a signature of genomic alterations in the cell cycle and protein degradation machinery
2019 Simonetti, Giorgia; Padella, Antonella; do Valle, Italo Farìa; Fontana, Maria Chiara; Fonzi, Eugenio; Bruno, Samantha; Baldazzi, Carmen; Guadagnuolo, Viviana; Manfrini, Marco; Ferrari, Anna; Paolini, Stefania; Papayannidis, Cristina; Marconi, Giovanni; Franchini, Eugenia; Zuffa, Elisa; Laginestra, Maria Antonella; Zanotti, Federica; Astolfi, Annalisa; Iacobucci, Ilaria; Bernardi, Simona; Sazzini, Marco; Ficarra, Elisa; Hernandez, Jesus Maria; Vandenberghe, Peter; Cools, Jan; Bullinger, Lars; Ottaviani, Emanuela; Testoni, Nicoletta; Cavo, Michele; Haferlach, Torsten; Castellani, Gastone; Remondini, Daniel; Martinelli, Giovanni
Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology
2019 Ponzio, Francesco; Urgese, Gianvito; Ficarra, Elisa; DI CATALDO, Santa
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| W2WNet: A two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality / Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - 214:(2023), p. 119121. [10.1016/j.eswa.2022.119121] | 1-gen-2023 | Ponzio, FrancescoMacii, EnricoFicarra, ElisaDi Cataldo, Santa | 1-s2.0-S095741742202139X-main.pdf; W2WNet__a_two_module_probabilistic_Convolutional_Neural_Network_with_embedded_data_cleansing_functionality.pdf |
| A survey on data integration for multi-omics sample clustering / Lovino, M.; Randazzo, V.; Ciravegna, G.; Barbiero, P.; Ficarra, E.; Cirrincione, G.. - In: NEUROCOMPUTING. - ISSN 0925-2312. - ELETTRONICO. - 488:(2022), pp. 494-508. [10.1016/j.neucom.2021.11.094] | 1-gen-2022 | Lovino M.Randazzo V.Ciravegna G.Ficarra E.Cirrincione G. + | Randazzo-ASurvey.pdf |
| Identifying the oncogenic potential of gene fusions exploiting miRNAs / Lovino, Marta; Montemurro, Marilisa; Barrese, VENERE SABRINA; Ficarra, Elisa. - In: JOURNAL OF BIOMEDICAL INFORMATICS. - ISSN 1532-0464. - 129:(2022). [10.1016/j.jbi.2022.104057] | 1-gen-2022 | Marta LovinoMarilisa MontemurroVenere Sabrina BarreseElisa Ficarra | 1-s2.0-S1532046422000739-main.pdf |
| LaRA 2: parallel and vectorized program for sequence–structure alignment of RNA sequences / Winkler, Jörg.; Urgese, Gianvito.; Ficarra, Elisa.; Reinert, Knut. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - ELETTRONICO. - 23:1(2022), pp. 1-22. [10.1186/s12859-021-04532-7] | 1-gen-2022 | Urgese, Gianvito.Ficarra, Elisa. + | s12859-021-04532-7.pdf |
| A Bayesian approach to Expert Gate Incremental Learning / Mieuli, Valerio; Ponzio, Francesco; Mascolini, Alessio; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa. - (2021), pp. 1-7. (Intervento presentato al convegno 2021 International Joint Conference on Neural Networks (IJCNN) tenutosi a Shenzhen (China) nel 18-22 July 2021) [10.1109/IJCNN52387.2021.9534204]. | 1-gen-2021 | Ponzio, FrancescoMascolini, AlessioMacii EnricoFicarra, ElisaDi Cataldo, Santa + | IJCNN.pdf; A_Bayesian_approach_to_Expert_Gate_Incremental_Learning.pdf |
| A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images / Mascolini, Alessio; Puzzo, S.; Incatasciato, G.; Ponzio, F.; Ficarra, E.; Di Cataldo, S. - In: Progresses in Artificial Intelligence and Neural Systems. Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F.C., Pasero E.. - Singapore : Springer, Singapore, 2021. - ISBN 978-981-15-5093-5. - pp. 125-136 [10.1007/978-981-15-5093-5_12] | 1-gen-2021 | MASCOLINI, ALESSIOF. PonzioE. FicarraS. Di Cataldo + | A_Novel_POC_Framework_for_ConvNets_on_WSIs.pdf; WIRN_2019.pdf |
| Exploration of Convolutional Neural Network models for source code classification / Barchi, F.; Parisi, E.; Urgese, G.; Ficarra, E.; Acquaviva, A.. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - ELETTRONICO. - 97:(2021), p. 104075. [10.1016/j.engappai.2020.104075] | 1-gen-2021 | Urgese G.Ficarra E. + | 1-s2.0-S0952197620303353-main.pdf |
| Optimizing Quality Inspection and Control in Powder Bed Metal Additive Manufacturing: Challenges and Research Directions / DI CATALDO, Santa; Vinco, Sara; Urgese, Gianvito; Calignano, Flaviana; Ficarra, Elisa; Macii, Alberto; Macii, Enrico. - In: PROCEEDINGS OF THE IEEE. - ISSN 0018-9219. - ELETTRONICO. - 109:4(2021), pp. 326-346. [10.1109/JPROC.2021.3054628] | 1-gen-2021 | Santa Di CataldoSara VincoGianvito UrgeseFlaviana CalignanoElisa FicarraAlberto MaciiEnrico Macii | FINAL VERSION.pdf; 09347446.pdf |
| PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity / Montemurro, Marilisa; Grassi, Elena; Pizzino, Carmelo Gabriele; Bertotti, Andrea; Ficarra, Elisa; Urgese, Gianvito. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - ELETTRONICO. - 22:1(2021), pp. 1-21. [10.1186/s12859-021-04277-3] | 1-gen-2021 | Montemurro, MarilisaFicarra, ElisaUrgese, Gianvito + | s12859-021-04277-3.pdf |
| BioSeqZip: a collapser of NGS redundant reads for the optimisation of sequence analysis / Urgese, Gianvito; Parisi, Emanuele; Scicolone, Orazio; Di Cataldo, Santa; Ficarra, Elisa. - In: BIOINFORMATICS. - ISSN 1367-4803. - ELETTRONICO. - 36:9(2020), pp. 2705-2711. [10.1093/bioinformatics/btaa051] | 1-gen-2020 | Urgese, GianvitoParisi, EmanueleScicolone, OrazioDi Cataldo, SantaFicarra, Elisa | bioinformatics_36_9_2705.pdf |
| Cytoarchitectural analysis of the neuron-to-glia association in the dorsal root ganglia of normal and diabetic mice / Ciglieri, Elisa; Vacca, Maurizia; Ferrini, Francesco; Atteya, Mona A; Aimar, Patrizia; Ficarra, Elisa; Di Cataldo, Santa; Merighi, Adalberto; Salio, Chiara. - In: JOURNAL OF ANATOMY. - ISSN 0021-8782. - 267:5(2020), pp. 988-997. [10.1111/joa.13252] | 1-gen-2020 | Ficarra, ElisaDi Cataldo, Santa + | JANAT-2020-0197.R1_Proof_hi.pdf; Journal of Anatomy - 2020 - Ciglieri - Cytoarchitectural analysis of the neuron‐to‐glia association in the dorsal root.pdf |
| DEEPrior: a deep learning tool for the prioritization of gene fusions / Lovino, Marta; Ciaburri, Maria Serena; Urgese, Gianvito; Di Cataldo, Santa; Ficarra, Elisa. - In: BIOINFORMATICS. - ISSN 1367-4803. - ELETTRONICO. - 36:10(2020), pp. 3248-3250. [10.1093/bioinformatics/btaa069] | 1-gen-2020 | Lovino, MartaCiaburri, Maria SerenaUrgese, GianvitoDi Cataldo, SantaFicarra, Elisa | bioinformatics_36_10_3248.pdf |
| Effective evaluation of clustering algorithms on single-cell CNA data / Montemurro, Marilisa; Urgese, Gianvito; Grassi, Elena; Pizzino, Carmelo Gabriele; Bertotti, Andrea; Ficarra, Elisa. - ELETTRONICO. - (2020). (Intervento presentato al convegno ICBBE 2020 - 7th International Conference on Biomedical and Bioinformatics Engineering tenutosi a Kyoto nel 06-09 novembre 2020) [10.1145/3444884.3444886]. | 1-gen-2020 | Montemurro, MarilisaUrgese, GianvitoFicarra, Elisa + | ICBBE2020.pdf |
| Exploiting "uncertain" deep networks for data cleaning in digital pathology / Ponzio, Francesco; Deodato, Giacomo; Macii, Enrico; DI CATALDO, Santa; Ficarra, Elisa. - (2020), pp. 1139-1143. (Intervento presentato al convegno IEEE International Symposium on Biomedical Imaging tenutosi a Coralville (USA) nel 3-7 Aprile 2020) [10.1109/ISBI45749.2020.9098605]. | 1-gen-2020 | Francesco PonzioGiacomo DeodatoEnrico MaciiSanta Di CataldoElisa Ficarra | 09098605.pdf |
| Multi-omics classification on kidney samples exploiting uncertainty-aware models / Lovino, Marta; Bontempo, Gianpaolo; Cirrincione, Giansalvo; Ficarra, Elisa. - ELETTRONICO. - 12464:(2020), pp. 32-42. (Intervento presentato al convegno International Conference on Intelligent Computing (ICIC2020) tenutosi a Bari (Online) nel Oct 10-11th 2020) [10.1007/978-3-030-60802-6_4]. | 1-gen-2020 | Marta LovinoGiansalvo CirrincioneElisa Ficarra + | Multi_omics_classification_on_kidney_samplesexploiting_uncertainty_aware_models_short_version.pdf; Lovino2020_Chapter_Multi-omicsClassificationOnKid.pdf |
| Predicting the oncogenic potential of gene fusions using convolutional neural networks / Lovino, Marta; Urgese, Gianvito; Macii, Enrico; DI CATALDO, Santa; Ficarra, Elisa (LECTURE NOTES IN COMPUTER SCIENCE). - In: Computational Intelligence Methods for Bioinformatics and BiostatisticsELETTRONICO. - [s.l] : Springer International Publishing, 2020. - ISBN 978-3-030-34584-6. - pp. 277-284 [10.1007/978-3-030-34585-3_24] | 1-gen-2020 | LOVINO, MARTAGianvito UrgeseEnrico MaciiSanta Di CataldoElisa Ficarra | 10.1007_978-3-030-34585-3.pdf; Fusioni_Springer_LNBI (1).pdf |
| Unsupervised Multi-Omic Data Fusion: the Neural Graph Learning Network / Barbiero, Pietro; Lovino, Marta; Siviero, Mattia; Ciravegna, Gabriele; Randazzo, Vincenzo; Ficarra, Elisa; Cirrincione, Giansalvo. - ELETTRONICO. - 12463:(2020), pp. 172-182. (Intervento presentato al convegno 16th International Conference on Intelligent Computing, ICIC 2020 tenutosi a Bari (ita) nel Ottobre 2020) [10.1007/978-3-030-60799-9_15]. | 1-gen-2020 | Marta LovinoGabriele CiravegnaVincenzo RandazzoElisa FicarraGiansalvo Cirrincione + | ICIC_2020_barbiero_Lovino.pdf; bookExtracted_Unsupervised Multi-omic Data Fusion.pdf; Neural Graph Learning for Multi-Omic Data Fusion_4_cameraReady.pdf |
| A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans / Lovino, Marta; Urgese, Gianvito; Macii, Enrico; Di Cataldo, Santa; Ficarra, Elisa. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - ELETTRONICO. - 20:7(2019), pp. 1-13. [10.3390/ijms20071645] | 1-gen-2019 | Lovino, MartaUrgese, GianvitoMacii, EnricoDi Cataldo, SantaFicarra, Elisa | ijms-20-01645-v2.pdf |
| Aneuploid acute myeloid leukemia exhibits a signature of genomic alterations in the cell cycle and protein degradation machinery / Simonetti, Giorgia; Padella, Antonella; do Valle, Italo Farìa; Fontana, Maria Chiara; Fonzi, Eugenio; Bruno, Samantha; Baldazzi, Carmen; Guadagnuolo, Viviana; Manfrini, Marco; Ferrari, Anna; Paolini, Stefania; Papayannidis, Cristina; Marconi, Giovanni; Franchini, Eugenia; Zuffa, Elisa; Laginestra, Maria Antonella; Zanotti, Federica; Astolfi, Annalisa; Iacobucci, Ilaria; Bernardi, Simona; Sazzini, Marco; Ficarra, Elisa; Hernandez, Jesus Maria; Vandenberghe, Peter; Cools, Jan; Bullinger, Lars; Ottaviani, Emanuela; Testoni, Nicoletta; Cavo, Michele; Haferlach, Torsten; Castellani, Gastone; Remondini, Daniel; Martinelli, Giovanni. - In: CANCER. - ISSN 0008-543X. - ELETTRONICO. - 125:5(2019), pp. 712-725. [10.1002/cncr.31837] | 1-gen-2019 | Ficarra, Elisa + | Simonetti_et_al-2019-Cancer.pdf |
| Dealing with Lack of Training Data for Convolutional Neural Networks: The Case of Digital Pathology / Ponzio, Francesco; Urgese, Gianvito; Ficarra, Elisa; DI CATALDO, Santa. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 8:3(2019). [10.3390/electronics8030256] | 1-gen-2019 | Francesco PonzioGianvito UrgeseElisa FicarraSanta Di Cataldo | electronics-08-00256.pdf |