Annarita D’Addabbo received the Laurea  degree (cum laude) and the Ph.D. degree in Physics from the University of Bari, Bari, Italy, in 1998 and 2010, respectively. Since 1999, she has been with the Italian Research Council, where she is currently a Researcher with the Istituto di Studi sui Sistemi Intelligenti per l’Automazione (ISSIA), Bari. Her main research interests are in the area of pattern recognition and machine learning (classification, regression and estimation, data fusion) with applications both to remote-sensing images and to biological data.


  1. A. D’Addabbo, A. Refice, F. P. Lovergine, G. Pasquariello

    DAFNE: A Matlab toolbox for Bayesian multi-source remote sensing and ancillary data fusion, with application to flood mapping, Computers & geosciences, Vol. 112, 2018

  2. D’Addabbo, A.; Refice, A.; Pasquariello, G.; Lovergine, Francesco P.; Capolongo, D.; Manfreda, S.

    A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data, IEEE transactions on geoscience and remote sensing, Vol. 54, No. 6, June 2016, Pages 3612-3625

  3. A. D’Addabbo and R. Maglietta

    'Parallel Selective Sampling method for imbalanced and large data classification' accepted for publication in Pattern Recognition Letters (2015) 62:61-67; DOI:10.1016/j.patrec.2015.05.008

  4. A. Refice, D. Capolongo, G. Pasquariello, A. D’Addabbo, F. Bovenga, R. Nutricato, F. P. Lovergine, L. Pietranera

    SAR and InSAR for flood monitoring: examples with COSMO-SkyMed data, in IEEE journal of selected topics in applied earth observations and remote sensing, Vol. 7, No. 10, ISSN: 2151-1535, 2014

  5. D’Addabbo A., Palmieri O., Latiano A., Annese V., Mukherjee S., Ancona N.

    RS-SNP: a random-set method for genome-wide association studies, BMC genomics, 2011

  6. A. D’Addabbo, O. Palmieri, R. Maglietta, A.Latiano, S. Mukherjee, V. Annese, N.Ancona

    Discovering genetic variants in Crohn's disease by exploring genomic regions enriched of weak association signals, Digestive and Liver Disease, Vol. 43 (8), pp. 623-631, 2011

  7. D’Addabbo, A., Palmieri, O., Maglietta, R., Latiano, A., Mukherjee, S., Annese, V., Ancona, N.

    Discovering genetic variants in crohn’s disease by exploring genomic regions enriched of weak association signals, Digestive and Liver Disease, 43 (8), pp. 623-631, 2011

  8. D’Addabbo, A., Palmieri, O., Latiano, A., Annese, V., Mukherjee, S., Ancona, N.

    RS-SNP: A random-set method for genome-wide association studies, BMC Genomics, 12, art. no. 166, 2011

  9. Maglietta, R., Distaso, A., Piepoli, A., Palumbo, O., Carella, M., D’Addabbo, A., Mukherjee, S., Ancona, N.

    On the reproducibility of results of pathway analysis in genome-wide expression studies of colorectal cancers, Journal of Biomedical Informatics, 43 (3), pp. 397-406, 2010

  10. Abatangelo, L., Maglietta, R., Distaso, A., D’Addabbo, A., Creanza, T.M., Mukherjee, S., Ancona, N.

    Comparative study of gene set enrichment methods, BMC Bioinformatics, 10, art. no. 1471, p. 275, 2009

  11. D’Addabbo, A., Latiano, A., Palmieri, O., Creanza, M.T., Maglietta, R., Annese, V., Ancona, N.

    Association of genetic profiles to Crohn’s disease by linear combinations of single nucleotide polymorphisms, Artificial Intelligence in Medicine, 46 (2), pp. 131-138, 2009

  12. Piepoli, A., Cotugno, R., Merla, G., Gentile, A., Augello, B., Quitadamo, M., Merla, A., Panza, A., Carella, M., Maglietta, R., D’Addabbo, A., Ancona, N., Fusilli, S., Perri, F., Andriulli, A.

    Promoter methylation correlates with reduced NDRG2 expression in advanced colon tumour, BMC Medical Genomics, 2, art. no. 11, 2009

  13. T. M. Creanza; D. S. Corner; A. D’Addabbo; R. Maglietta; F. Mignone; N. Ancona; G. Pesole

    Statistical assessment of discriminative features for protein-coding and non coding cross-species conserved sequence elements, BMC Bioinformatics, Vol. 10, Issue SUPPL. 6, 16 June 2009


  1. A. D’Addabbo, A. Refice, G. Pasquariello, F. Lovergine

    SAR/Optical Data Fusion for Flood Detection, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016), Beijing, China, July 10-15, 2016

  2. R. Maglietta, A. D’Addabbo, A.M. D’Erchia, G. Pesole and E. Picardi

    "Differentiantial RNA editing inferred by massive transcriptome sequencing", BITS annual meeting 2015, University of Milan, June 3-5, 2015

  3. A. D’Addabbo, A. Refice, G. Pasquariello

    (2014) A Bayesian network approach to perform SAR/InSAR data fusion in a flood detection problem, SPIE SAR Image Analysis, Modeling, and Techniques XIV, Amsterdam, The Netherlands, 22-25 September 2014

  4. D’Addabbo A.; Refice A.; Pasquariello G.; Bovenga F.; Chiaradia M.T.; Nitti D.O.

    (2014) "A Bayesian network for flood detection", IGARSS 2014, Quebec City, Canada, 14-19 July, 2014

  5. A. Refice, G. Pasquariello, A. D’Addabbo, F. Bovenga, R. Nutricato, D. Capolongo, A. Lepera, L. Pietranera, S. Manfreda, A. Cantisani, A. Sole

    (2013) Inundation monitoring through high-resolution SAR/InSAR data and 2D hydraulic simulations, in 33rd EARSeL Symposium, Matera, Italy, 3-6 June 2013

  6. A. Refice, D. Capolongo, A. Lepera, G. Pasquariello, L. Pietranera, F. Volpe, A. D’Addabbo, F. Bovenga

    (2013) SAR and InSAR for flood monitoring: examples with COSMO/SkyMed data, in IEEE International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 20-26 July, 2013