Publications

Publications in Peer Reviewed Journals

1. 1.     Dimitri G.M. , Trambusti Alberto, “Precision Agriculture for Wine Production: A Machine Learning Approach to Link Climate Change and Wine Quality”, accepted and in Press at Heliyon, Elsevier, 2024. (Impact Factor: 4.0, Scimago: Q1, Scopus: 86%) 

2. Abady, L., Dimitri, G.M., and Barni,M. "A One-Class Classifier for the Detection of GAN Manipulated Multi-Spectral Satellite Images." Remote Sensing 16.5 (2024): 781.

3. Vozzi, F., Pedrelli, L., Dimitri, G. M., Micheli, A., Persiani, E., Piacenti, M., ... & Morales, M. A. (2024). Echo state networks for the recognition of type 1 Brugada syndrome from conventional 12-LEAD ECG. Heliyon (Journal Impact Factor: 4.0) 

4. Castelli, T., Mocenni, C., Dimitri, G.M., A machine learning approach to assess Sustainable Development Goals food performances: The Italian case. PLOS ONE. 19. e0296465. 10.1371/journal.pone.0296465, (2024), (Journal Impact Score: 3.58, Journal Impact Factor: 3.752)

5. Andreini, P., Bonechi S., Dimitri G.M. "Enhancing glomeruli segmentation through cross-species pre-training." Neurocomputing 563 (2024): 126947.  (all authors contributed equally, i.e. I am the first author) (Journal Impact Factor 5.779)

6.     Vitanza, E.*, Dimitri, G. M.*, & Mocenni, C.* (2023). A multi-modal machine learning approach to detect extreme rainfall events in Sicily. Scientific Reports, 13(1), 6196 (* all the authors contributed equally, i.e. I am a first author) (Journal Impact Score: 4.54, Journal Impact Factor: 4.38)

7.      Pucci, F., Fedele,P., and Dimitri, G.M. "Speech emotion recognition with artificial intelligence for contact tracing in the COVID‐19 pandemic." Cognitive Computation and Systems, IET, 5.1 (2023): 71-85 (Journal Impact Factor 4.89)

8.      Bianchini,M., and Dimitri, G.M. "Deep learning techniques for biomedical data processing." Intelligent Decision Technologies  (2023): 1-18 (Journal Impact Factor: 0.2)

9.   Miconi Federico*, Dimitri G.M.* “A machine learning approach to model and predict the electric vehicles scenario: the Italian case”,  PloS ONE (2023) (Journal Impact Score: 3.58, Journal Impact Factor: 3.752) *Authors Contributed Equally

10.     Guerranti, Filippo, and Giovanna Maria Dimitri. "A Comparison of Machine Learning Approaches for Predicting Employee Attrition." Applied Sciences 13.1 (2023): 267, (Journal Impact Score: 3.67, Journal Impact Factor:2.838)

11.     Dimitri G.M., “A Short Survey on Deep Learning for Multimodal Integration: Applications, Future Perspectives and Challenges”, Computers 2022, 11(11), 163; https://doi.org/10.3390/computers11110163 (Journal Impact Score: 2.75, Journal Impact Factor: 2.604)

12.    Dimitri, G.M. et al. “NMR Spectroscopy Combined with Machine Learning Approaches for Age Prediction in Healthy and Parkinson’s Disease Cohorts through Metabolomic Fingerprints”, Appl. Sci. 2022, 12(18), 8954; https://doi.org/10.3390/app12188954 (Journal Impact Score: 3.67, Journal Impact Factor:2.838)

13.   Dimitri, Giovanna Maria, et al. "Multimodal and multicontrast image fusion via deep generative models." Information Fusion 88, Elsevier (2022): 146-160. (Journal Impact Score: 18.92, Impact Factor: 17.564)

14.  Dimitri, G.M., et al. "Deep Learning Approaches for the Segmentation of Glomeruli in Kidney Histopathological Images." Mathematics 10.11 (2022): 1934 (Journal Impact Score.: 2.84, Journal Impact Factor.: 1.74)

15.  Bongini, P., Pancino, N., Dimitri, G. M., Bianchini, M., Scarselli, F., & Lio, P. (2022). Modular multi--source prediction of drug side--effects with DruGNN. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (Journal Impact Score: 2.85, Journal Impact Factor:3.71)

16.  Zago, E.*, Dal Molin, A.*, Dimitri, G. M.*, Xumerle, L., Pirazzini, C., Bacalini, M. G., ... & Nardini, C. (2022). Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson’s disease patients. Scientific Reports, 12(1), 1-13. (* all the authors contributed equally, i.e. I am a first author) (Journal Impact Score: 4.54, Journal Impact Factor: 4.38)

17.  Pancino, N.; Graziani, C.; Lachi, V.; Sampoli, M.L.; Ștefǎnescu, E.; Bianchini, M.; Dimitri, G.M. A Mixed Statistical and Machine Learning Approach for the Analysis of Multimodal Trail Making Test Data. Mathematics 2021, 9, 3159. https://doi.org/10.3390/math9243159 (Journal Impact Score.: 2.84, Journal Impact Factor.: 1.74)

18.  Bonechi,S.…., Dimitri G.M “ Segmentation of aorta 3D CT images based on 2D convolutional neural networks”, Electronics, MDPI (2021) (Journal Impact Score: 0.38, Journal Impact Factor: 2.39)

19.  Dimitri, G.M. , et al. "Modelling Brain–Heart Crosstalk Information in Patients with Traumatic Brain Injury." Neurocritical Care (2021): 1-13. (Journal Impact Score: 2.69, Journal Impact Factor: 3.2)

20.  Azevedo, T.*, Dimitri, G. M*., Lió, P., & Gamazon, E. R. (2021). Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits. npj Systems Biology and Applications, 7(1), 1-13 (authors contributed equally, i.e. I am the first author) (Journal Impact Score: 3.97, Journal Impact Factor: 4.18)

21.  Spiga, O.*, Cicaloni, V.*, Dimitri, G.M., et al, Machine Learning application for patient stratification and phenotype/genotype investigation in rare disease, Briefings in Bioinformatics, Oxford (2021) (Journal Impact Score: 9.15, Journal Impact Factor: 11.62)

22.  Pirazzini,Chiara,…Dimitri, G.M.,… et al. "A Geroscience approach for Parkinson’s Disease: conceptual framework and design of PROPAG-AGEING project." Mechanisms of Ageing and Development (2020): 111426., Elsevier (Journal Impact Score: 5.432, Journal Impact Factor: 5.43)

23.  Cicaloni, V., Spiga, O., Dimitri, G.M., Maiocchi, R., Millucci, L., Giustarini, D., Bernardini G., Bernini A., Marzocchi B., Braconi D.& Santucci, A. (2019). Interactive alkaptonuria database: investigating clinical data to improve patient care in a rare disease. The FASEB Journal, fj-201901529R. (2019) (Journal Impact Score: 5.02, Journal Impact Factor: 5.19)

24.  Maj, C., Azevedo, T., Giansanti, V., Borisov, O., Dimitri, G.M., Spasov, S., Pietro Lio’ & Merelli, I. (2019). Integration of machine learning methods to dissect genetically imputed transcriptomic profiles in Alzheimer’s Disease. Frontiers in Genetics, 10, 726. (Journal Impact Score: 4.37, Journal Impact Factor: 3.78)

25.  Dimitri, G. M., Agrawal S., Young A., Donnelly J., Liu X., Smielewski P., Hutchinson P., Czosnyka M., Lió P., Haubrich C. "A multiplex network approach for the analysis of intracranial pressure and heart rate data in traumatic brain injured patients." Applied Network Science 2.1 (2017): 29, Springer Editions. (Journal Impact Score: 2.65)

26.  Bianchini, M., Dimitri, G. M., Maggini, M., Scarselli, F. (2018). Deep Neural Networks for Structured Data. In Computational Intelligence for Pattern Recognition (pp. 29-51). Springer, Cham.

27.   Dimitri, G.M., Lio’ P., "DrugClust: A machine learning approach for drugs side effects prediction." Computational Biology and Chemistry 68 (2017): 204-210, Elsevier. (Journal Impact Score: 3.69, Journal Impact Factor: 2.87)

Publications in Conference Proceedings

28.  Alamayreh, O., Wang, J., Dimitri, G.M. et al., “A Siamese Based System For City Verification” , accepted for publication at ECAI (Krakow 2023) (https://ecai2023.eu/)

29.  Dimitri G.M. et al, “WeAIR: Wearable Swarm Sensors for Air Quality Monitoring to Foster Citizens' Awareness of Climate Change”, accepted at IEEE MetroXRAINE 2023 conference (Milan 2023, https://metroxraine.org/) 

30.  “Investigating the Impact of Extreme Rainfall Events on Individual Perception of Climate Change", Vitanza, E., Dimitri, G.M., Mocenni, C., accepted for presentation at the 2023 International Symposium on Nonlinear Theory and its Applications, Catania, September 26–29, 2023 (http://nolta2023.org)

31.  Barni, M., Costanzo, A., Dimitri, G.M., & Tondi, B. . "A GPU-accelerated algorithm for copy move detection in large-scale satellite images." Image and Signal Processing for Remote Sensing XXIX. Vol. 12733. SPIE, 2023. : https://spie.org/esi 

32.  “A Preliminary Evaluation of Machine Learning Models for the Diagnosis of Brugada Syndrome from ECG-Extracted Features”, Micheli, A., Dimitri, G.M., et al., accepted at WIRN (INDEXED BY SCOPUS Springer Series Smart Innovation, Systems and Technologies)

33.  Chessa S., Dimitri G.M., Gori, M., Kochan A., “WoA: an infrastructural, web-based approach to digital agriculture" accepted at ISAmI Conference 2023 and will be included in the proceedings published by Springer LNNS.

34.  Alamayreh, O., Dimitri G.M., et al. "Which country is this picture from? New data and methods for DNN-based country recognition." ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023 (p.p. 1-5)

35. Andreini, P, Dimitri G.M., “Deep Semantic Segmentation Models in Computer Vision”,  Proceedings of the  European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges 5-7 Ottobre 2022

36.  Abady, Lydia, Dimitri, Giovanna Maria, Barni, Mauro (2022). Detection and Localization of GAN Manipulated Multi-spectral Satellite Images. In: ESANN 2022. p. 339-344, Bruges, Belgium, 5-7 October, 2022, doi: 10.14428/esann/2022.ES2022-39 -

37.  Meconcelli D., Bonechi S., Dimitri G.M., “Deep Learning Approaches for mice glomeruli segmentation”, Accepted at ESANN European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges 5-7 Ottobre 2022

38. Dimitri, G. M., Gallicchio, C., Micheli, A., Morales, M. A., Ungaro, E., & Vozzi, F. (2021). A preliminary evaluation of Echo State Networks for Brugada syndrome classification. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 01-08). IEEE.

39.  Spasov, S. E., Campbell, A., Dimitri, G.M., Di Stefano, A., & Lio, P. (2021, April). TG-DGM Conference: Clustering Brain Activity using a Temporal Graph Deep Generative Model. In Medical Imaging with Deep Learning.

40.  Ciano, G., Dimitri, G.M. et al. "SlAide2Voice: a new educational tool for students with visual disabilities." teleXbe. 2021.

41.  Dimitri, G.M., et al. "Unsupervised stratification in neuroimaging through deep latent embeddings." 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2020.

42.  Dimitri, G.M., et al. "Introducing brain-heart crosstalks information in clinical decision support systems for TBI patients, through ICM+." 2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). IEEE, 2020.

43.  Dimitri, G.M., Beqiri, E., Czosnyka, M., Ercole, A., Smielewski, P., Liò, P., & CENTER-TBI High Resolution Sub- Study Participants and Investigators,. Analysing cardio-cerebral crosstalks in an adult cohort from CENTER-TBI. Acta Neurochirurgica: Supplementum (2020)

44.  Kusztos, R., Dimitri, G.M., and Lio’ P. "Neural Models for Brain Networks Connectivity Analysis." International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics. Springer, Cham, 2018.

45.  Dimitri, G. M., Agrawal S., Young A., Donnelly J., Liu X., Smielewski P., Hutchinson P., Czosnyka M., Lió P., Haubrich C. ”Simultaneous transients of intracranial pressure and heart rate in traumatic brain injury: Methods of analysis." Intracranial Pressure & Neuromonitoring XVI. Springer, Cham, (2018). 147-151.

46.  Rossi, A., Tiezzi, M., Dimitri, G. M., Bianchini, M., Maggini, M., Scarselli, F. Inductive–Transductive Learning with Graph Neural Networks. In IAPR Workshop on Artificial Neural Networks in Pattern Recognition (pp. 201-212). Springer, Cham., (2018, September).

47.  Dimitri, G. M. "The impact of syntax highlighting in sonic pi." Proceedings of the 26th Annual Conference of the Psychology of Programming Interest Group (PPIG 2015). 2015.