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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.pdfW2WNet__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.pdfA_Bayesian_approach_to_Expert_Gate_Incremental_Learning.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.pdf09347446.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
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, 2020. - ISBN 978-981-15-5093-5. - pp. 125-136 [10.1007/978-981-15-5093-5_12] 1-gen-2020 MASCOLINI, ALESSIOF. PonzioE. FicarraS. Di Cataldo + A_Novel_POC_Framework_for_ConvNets_on_WSIs.pdfWIRN_2019.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.pdfJournal 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.pdfLovino2020_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.pdfFusioni_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.pdfbookExtracted_Unsupervised Multi-omic Data Fusion.pdfNeural 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