| Using machine learning to explore shared genetic pathways and possible endophenotypes in autism spectrum disorder D Di Giovanni, R Enea, V Di Micco, A Benvenuto, P Curatolo, ... Genes 14 (2), 313, 2023 | 9 | 2023 |
| Clustering analysis supports the detection of biological processes related to autism spectrum disorder L Emberti Gialloreti, R Enea, V Di Micco, D Di Giovanni, P Curatolo Genes 11 (12), 1476, 2020 | 9 | 2020 |
| GENOMA: GENeric ontology matching architecture R Enea, MT Pazienza, A Turbati AI* IA 2015 Advances in Artificial Intelligence: XIVth International …, 2015 | 3 | 2015 |
| IDRA: An ontology driven Cognitive Computing System. R Enea DC@ ISWC, 2017 | 2 | 2017 |
| A novel data-driven approach reveals gene networks and biological processes underlying autism LE Gialloreti, R Enea, V Di Micco, D Di Giovanni, P Curatolo | 1 | 2020 |
| How to Support Human Operator in" Uncertainty" Managing during the Ontology Learning Process R Enea, MT Pazienza, A Turbati, A Colantonio Companion Proceedings of the The Web Conference 2018, 1147-1154, 2018 | 1 | 2018 |
| A novel data-driven approach reveals gene networks and biological processes underlying autism L EMBERTI GIALLORETI, R Enea, V Di Micco, D Di Giovanni, P Curatolo GENES, 2020 | | 2020 |
| EMMI Enquiry Model for Medical Investigation R Enea, MT Pazienza, A Turbati 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019 | | 2019 |
| Conceptual Knowledge Management: The Case of Biomedical Information. R Enea, MT Pazienza, A Turbati, D Vitiello JOWO, 2017 | | 2017 |
