Article

Varzandian, A., Razo, M. A. S., Sanders, M. R., Atmakuru, A. and Di Fatta, G. (2021) Classification-biased apparent brain age for the prediction of Alzheimer's disease. Frontiers in Neuroscience, 15. 673120. ISSN 1662-453X doi: https://doi.org/10.3389/fnins.2021.673120

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Mitchell, R. and Di Fatta, G. (2019) Simplex basis function based sparse least squares support vector regression. Neurocomputing, 330. pp. 394-402. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2018.11.025

Mariani, M. ORCID: https://orcid.org/0000-0002-7916-2576, Di Fatta, G. and Di Felice, M. (2019) Understanding customer satisfaction with services by leveraging big data: the role of services attributes and consumers’ cultural background. IEEE Access, 7. pp. 8195-8208. ISSN 2169-3536 doi: https://doi.org/10.1109/ACCESS.2018.2887300

Al Ghamdi, S. and Di Fatta, G. (2019) Efficient clustering techniques on Hadoop and Spark. International Journal of Big Data Intelligence, 6 (3/4). pp. 269-290. ISSN 2053-1389 doi: https://doi.org/10.1504/IJBDI.2019.10018592

Katti, A., Di Fatta, G., Naughton, T. and Engelmann, C. (2018) Epidemic failure detection and consensus for extreme parallelism. International Journal of High Performance Computing Applications, 32 (5). pp. 729-743. ISSN 1094-3420 doi: https://doi.org/10.1177/1094342017690910

Le, T., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gaber, M. M., Gomes, J. B. and Di Fatta, G. (2017) On expressiveness and uncertainty awareness in rule-based classification for data streams. Neurocomputing, 265. 127- 141. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2017.05.081

Poonpakdee, P. and Di Fatta, G. (2017) Robust and efficient membership management in large-scale dynamic networks. Future Generation Computer Systems, 75. pp. 85-93. ISSN 0167-739X doi: https://doi.org/10.1016/j.future.2017.02.033

Salehe, B. R., Jones, C. I. ORCID: https://orcid.org/0000-0001-7537-1509, Di Fatta, G. and McGuffin, L. ORCID: https://orcid.org/0000-0003-4501-4767 (2017) RAPIDSNPs: A new computational pipeline for rapidly identifying key genetic variants reveals previously unidentified SNPs that are significantly associated with individual platelet responses. PLoS ONE, 12 (4). e0175957. ISSN 1932-6203 doi: https://doi.org/10.1371/journal.pone.0175957

Bron, E. E., Smits, M., van der Flier, W. M., Vrenken, H., Barkhof, F., Scheltens, P., Papma, J. M., Steketee, R. M.E., Orellana, C. M., Meijboom, R., Pinto, M., Meireles, J. R., Garrett, C., Bastos-Leite, A. J., Abdulkadir, A., Ronneberger, O., Amoroso, N., Bellotti, R., Cárdenas-Peña, D., Álvarez-Meza, A. M., Dolph, C. V., Iftekharuddin, K. M., Eskildsen, S. F., Coupé, P., Fonov, V. S., Franke, K., Gaser, C., Ledig, C., Guerrero, R., Tong, T., Gray, K. R., Moradi, E., Tohka, J., Routier, A., Durrleman, S., Sarica, A., Di Fatta, G., Sensi, F., Chincarini, A., Smith, G. M., Stoyanov, Z. V., Sørensen, L., Nielsen, M., Tangaro, S., Inglese, P., Wachinger, C., Reuter, M., van Swieten, J. C., Niessen, W. J. and Klein, S. (2015) Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge. NeuroImage, 111. pp. 562-579. ISSN 1053-8119 doi: https://doi.org/10.1016/j.neuroimage.2015.01.048

Fortino, G., Parisi, D., Pirrone, V. and Di Fatta, G. (2014) BodyCloud: a SaaS approach for community body sensor networks. Future Generation Computer Systems, 35. pp. 62-79. ISSN 0167-739X doi: https://doi.org/10.1016/j.future.2013.12.015

Fiannaca, A., La Rosa, M., Di Fatta, G., Gaglio, S., Rizzo, R. and Urso, A. (2014) The BioDICE Taverna plugin for clustering and visualization of biological data: a workflow for molecular compounds exploration. Journal of Cheminformatics, 6 (1). 24. ISSN 1758-2946 doi: https://doi.org/10.1186/1758-2946-6-24

Fortino, G., Di Fatta, G., Pathan, M. and Vasilakos, A. V. (2014) Cloud-assisted body area networks: state-of-the-art and future challenges. Wireless Networks, 20 (7). pp. 1925-1938. ISSN 1022-0038 doi: https://doi.org/10.1007/s11276-014-0714-1

Liotta, A. and Di Fatta, G. (2014) Data mining for monitoring and managing systems and networks. Journal of Network and Systems Management, 22 (2). pp. 147-149. ISSN 1064-7570 doi: https://doi.org/10.1007/s10922-014-9306-8

Di Fatta, G. and Haworth, G. ORCID: https://orcid.org/0000-0001-9896-1448 (2013) Skilloscopy: Bayesian modeling of decision makers' skill. Systems, Man, and Cybernetics: Systems, IEEE Transactions on, 43 (6). pp. 1290-1301. ISSN 0018-9472 doi: https://doi.org/10.1109/TSMC.2013.2252893

Katti, A. and Di Fatta, G. (2013) Dynamic group communication for large-scale parallel data mining. Concurrent Engineering, 21 (3). pp. 227-234. ISSN 1063-293X doi: https://doi.org/10.1177/1063293X13495551

Fiannaca, A., Di Fatta, G., Rizzo, R., Urso, A. and Gaglio, S. (2013) Simulated annealing technique for fast learning of SOM networks. Neural Computing and Applications, 22 (5). 889-899 . ISSN 0941-0643 doi: https://doi.org/10.1007/s00521-011-0780-6

Di Fatta, G., Blasa, F., Cafiero, S. and Fortino, G. (2013) Fault tolerant decentralised K-Means clustering for asynchronous large-scale networks. Journal of Parallel and Distributed Computing, 73 (3). pp. 317-329. ISSN 07437315 doi: https://doi.org/10.1016/j.jpdc.2012.09.009

Goodall, T., Pettinger, D. and Di Fatta, G. (2013) Non-uniform data distribution for communication-efficient parallel clustering. Journal of Computational Science, 4 (6). pp. 489-495. ISSN 1877-7503 doi: https://doi.org/10.1016/j.jocs.2013.01.007

Haworth, G. M. ORCID: https://orcid.org/0000-0001-9896-1448, Regan, K. and Di Fatta, G. (2010) Performance and prediction: Bayesian modelling of fallible choice in chess. Lecture Notes in Computer Science, 6048. pp. 99-110. ISSN 0302-9743 doi: https://doi.org/10.1007/978-3-642-12993-3_10

Fiannaca, A., Di Fatta, G., Rizzo, R., Urso, A. and Gaglio, S. (2009) Clustering quality and topology preservation in fast learning SOMs. Neural Network World, 19 (5). pp. 625-639. ISSN 1210-0552

Fiannaca, A., Di Fatta, G., Gaglio, S., Rizzo, R. and Urso, A. M. (2009) A new linear initialization in SOM for biomolecular data. Lecture Notes in Computer Science, 2009 (5488). pp. 177-187. ISSN 1611-3349 doi: https://doi.org/10.1007/978-3-642-02504-4

Di Fatta, G. and Berthold, M.R. (2006) Decentralized load balancing for highly irregular search problems. Microprocessors and Microsystems , 31 (4). pp. 220-226. ISSN 0141-9331 doi: https://doi.org/10.1016/j.micpro.2007.01.004

Di Fatta, G. and Berthold, M.R. (2006) Dynamic load balancing for the distributed mining of molecular structures. IEEE Transactions on Parallel and Distributed Systems, 17 (8). pp. 773-785. ISSN 1045-9219 doi: https://doi.org/10.1109/TPDS.2006.101

Di Fatta, G. and Berthold, M. R. (2005) High performance subgraph mining in molecular compounds. Lecture Notes in Computer Science, 3726. pp. 866-877. ISSN 0302-9743 doi: https://doi.org/10.1007/11557654_97

Vassallo, G., Pilato, G., Di Fatta, G. and Gaglio, S. (2004) Sub-symbolic encoding of words in WordNet environment. Atti dell'Accademia di Scienze, Lettere e Arti di Palermo.

Pilato, G., Vassallo, G., Di Fatta, G. and Gaglio, S. (2004) Word mapping in semantic hyperspaces. Atti dell'Accademia di Scienze, Lettere e Arti di Palermo.

Di Fatta, G., Gaglio, S., Lo Presti, G., Lo Re, G. and Selvaggio, I. (2003) Distributed intelligent management of active networks. Lecture Notes in Computer Science, 2829/2003. pp. 312-323. ISSN 0302-9743 doi: https://doi.org/10.1007/978-3-540-39853-0_26

Di Fatta, G., Lo Re, G. and Urso, A. (2003) Parallel genetic algorithms for the tuning of a fuzzy AQM controller. Lecture Notes in Computer Science, 2003 (2667). pp. 417-426. ISSN 0302-9743 doi: https://doi.org/10.1007/3-540-44839-X_45

Di Fatta, G., Hoffmann, F., Lo Re, G. and Urso, A. (2003) A genetic algorithm for the design of a fuzzy controller for active queue management. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 33 (3). pp. 313-324. ISSN 1094-6977 doi: https://doi.org/10.1109/TSMCC.2003.818946

Di Fatta, G., Lo Re, G. and Urso, A. (2002) A fuzzy approach for the network congestion problem. Lecture Notes in Computer Science (2329). pp. 286-295. ISSN 0302-9743 doi: https://doi.org/10.1007/3-540-46043-8_28

Silipo, R. and Di Fatta, G. (2001) Learning to reason about data. Intelligent Data Analysis, 5 (5). pp. 439-442. ISSN 1571-4128 (Online)

Delgrossi, L., Di Fatta, G., Ferrari, D. and Lo Re, G. (1999) Interference and communications among active network applications. Lecture Notes in Computer Science (1653). pp. 97-108. ISSN 0302-9743

Di Fatta, G. and Lo Re, G. (1999) Efficient tree construction for the multicast problem. Journal of the Brazilian Telecommunications : Revista da Sociedade Brasileira de Telecomunicações, 14 (1). pp. 22-29. ISSN 0102-986X

Di Fatta, G. and Lo Re, G. (1998) Multicast routing tree optimisation. Investigacao Operational Journal, 18. pp. 155-165.

Book or Report Section

Assaf, O., Di Fatta, G. and Nicosia, G. (2022) Multivariate LSTM for stock market volatility prediction. In: Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Jansen, G., Pardalos, P. M., Giuffrida, G. and Umeton, R. (eds.) Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers. Lecture Notes in Computer Science, II (13164). Springer, pp. 531-544. ISBN 978303954697 doi: https://doi.org/10.1007/978-3-030-95470-3_40

Di Fatta, G. (2019) Association rules and frequent patterns. In: Ranganathan, S., Nakai, K. and Schonbach, C. (eds.) Encyclopedia of Bioinformatics and Computational Biology. Elsevier, pp. 367-373. ISBN 9780128114322 doi: https://doi.org/10.1016/B978-0-12-809633-8.20333-6

Dyankov, D., Riccio, S. D., Di Fatta, G. and Nicosia, G. (2019) Multi-task learning by pareto optimality. In: Machine Learning, Optimization, and Data Science. LOD 2019. Lecture Notes in Computer Science (11943). Springer, pp. 605-618. ISBN 9783030375997 doi: https://doi.org/10.1007/978-3-030-37599-7_50

Wrench, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Di Fatta, G., Karthikeyan, V. and Nauck, D. D. (2016) Data stream mining of event and complex event streams: a survey of existing and future technologies and applications in big data. In: Atzmueller, M., Oussena, S. and Roth-Berghofer, T. (eds.) Enterprise Big Data Engineering, Analytics, and Management. IGI Global, pp. 24-47. ISBN 9781522502937 doi: https://doi.org/10.4018/978-1-5225-0293-7

Pettinger, D. and Di Fatta, G. (2013) Efficient group communication for large-scale parallel clustering. In: Intelligent Distributed Computing VI. Studies in Computational Intelligence, 446. Springer Berlin Heidelberg, Berlin Heidelberg, pp. 155-164. ISBN 9783642325243 doi: https://doi.org/10.1007/978-3-642-32524-3_20

Pettinger, D. and Di Fatta, G. (2010) Space partitioning for scalable K-means. In: Draghici, S., Khoshgoftaar, T. M., Palade, V., Pedrycz, W., Wani, M. A. and Zhu, X. (eds.) The Ninth International Conference on Machine Learning and Applications (ICMLA 2010). IEEE Press, pp. 319-324. ISBN 9781424492114 doi: https://doi.org/10.1109/ICMLA.2010.46

Di Fatta, G. and Pettinger, D. (2010) Dynamic load balancing in parallel KD-tree k-means. In: CIT '10: Proceedings of the 10th IEEE International Conference on Computer and Information Technology. IEEE, Washington DC, pp. 2478-2485. ISBN 978-0-7695-4108-2 doi: https://doi.org/10.1109/CIT.2010.424

Di Fatta, G., Haworth, G. M. ORCID: https://orcid.org/0000-0001-9896-1448 and Regan, K. W. (2009) Skill Rating by Bayesian Inference. In: Computational Intelligence and Data Mining, 2009. CIDM '09. IEEE Symposium on. Institute of Electrical and Electronics Engineers, Los Alamitos, CA 90720-1264 USA, pp. 89-94. ISBN 9781424427659 doi: https://doi.org/10.1109/CIDM.2009.4938634

Fiannaa, A., Di Fatta, G., Gaglio, S., Rizzo, R. and Urso, A. (2007) Improved SOM learning using simulated annealing. In: Sá, J. M. d., Alexandre, L. A., Duch, W. and Mandic, D. (eds.) Artificial neural networks – ICANN 2007 : 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I. Lecture notes in computer science (4668). Springer-Verlag, Berlin, pp. 279-288. ISBN 9783540746898 doi: https://doi.org/10.1007/978-3-540-74690-4

La Rosa, M., Di Fatta, G., Gaglio, S., Giammanco, G. M., Rizzo, R. and Urso, A. M. (2007) Soft topographic map for clustering and classification of bacteria. In: Berthold, M. R., Shawe-Taylor, J. and Lavrac, N. (eds.) Advances in Intelligent Data Analysis VII : 7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007. Proceedings. Lecture notes in computer science (4723). Springer-Verlag, Berlin, pp. 332-343. ISBN 9783540748243 doi: https://doi.org/10.1007/978-3-540-74825-0_30

Barone, A., Chirco, P., Di Fatta, G. and Lo Re, G. (2002) A management architecture for active networks. In: Proceedings of Fourth Annual International Workshop on Active Middleware Services. IEEE, pp. 41-48. ISBN 0769517218 doi: https://doi.org/10.1109/AMS.2002.1029689

Di Fatta, G., Gaglio, S., Lo Re, G. and Ortolani, M. (2000) Artificial ants for active routing. In: Intelligent autonomous systems 6. IOS Press, Amsterdam ; Washington, DC , pp. 233-238. ISBN 9781586030780 (IOM press) ; 9784274903854 (Ohmsha)

Chella, A., Di Fatta, G., Favaro, G., Guarino, D. and Re, G.L. (2000) A reconfigurable neural environment on active networks. In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium. IEEE, pp. 105-108. ISBN 0769506194 doi: https://doi.org/10.1109/IJCNN.2000.859380

Di Fatta, G. and Lo Re, G. (1998) Efficient tree construction for the multicast problem. In: ITS'98 proceedings : SBT/IEEE International Telecommunications Symposium : Maksoud Plaza Hotel, São Paulo, Brazil, August 9-13, 1998. IEEE, Piscataway, N.J., pp. 632-637. ISBN 9780780350304 doi: https://doi.org/10.1109/ITS.1998.718470

Conference or Workshop Item

Di Fatta, G., Sheng, V. and Cuzzocrea, A. (2021) The IEEE ICDM 2020 Workshops. In: 2020 International Conference on Data Mining Workshops (ICDMW), 17-20 November 2020, Sorrento, pp. 26-29. doi: https://doi.org/10.1109/ICDMW51313.2020.00009 (IEEE International Conference on Data Mining Workshops (ICDM Workshops))

Salvatore D., R., Deyan, D., Giorgio, J., Di Fatta, G. and Nicosia, G. (2020) Pareto multi-task deep learning. In: The 29th International Conference on Artificial Neural Networks (ICANN 2020), 15-18 September 2020, pp. 132-141. doi: https://doi.org/10.1007/978-3-030-61616-8 (Part II)

Wrench, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Di Fatta, G., Karthikeyan, V. and Nauck, D. (2020) A rule induction approach to forecasting critical alarms in a telecommunication network. In: 2019 IEEE International Conference on Data Mining Workshops (ICDMW), 8-11 Nov 2019, Beijing, China, pp. 480-489.

Song, W., Dai, S., Wang, J., Huang, D., Liotta, A. and Di Fatta, G. (2019) Bi-gradient verification for Grad-CAM towards accurate visual explanation for remote sensing images. In: 2019 International Conference on Data Mining Workshops (ICDMW), 8-11 Nov 2019, Beijing, China, pp. 473-479. doi: https://doi.org/10.1109/ICDMW.2019.00074

Savaglio, C., Gerace, P., Di Fatta, G. and Fortino, G. (2019) Data mining at the IoT edge. In: 28th International Conference on Computer Communication and Networks, 29 July - 01 Aug 2019, Valencia, Spain. doi: https://doi.org/10.1109/ICCCN.2019.8846941

Ayiad, M. M. and Di Fatta, G. (2019) An adaptive restart mechanism for continuous epidemic systems. In: International Conference on Internet and Distributed Computing Systems, 10-12 October, Naples, Italy, pp. 57-68. doi: https://doi.org/10.1007/978-3-030-34914-1_6

AlDabbagh, A., Di Fatta, G. and Liotta, A. (2019) The distributed p-median problem in computer networks. In: ICCSA 2019 Conference, 1-4 Jul 2019, Saint Petersburg, Russia, pp. 541-556. doi: https://doi.org/10.1007/978-3-030-24311-1_39

Hong, X. ORCID: https://orcid.org/0000-0002-6832-2298, Di Fatta, G., Chen, H. and Wang, S. (2018) Sparse least squares support vector regression for nonstationary systems. In: 2018 International Joint Conference on Neural Networks (IJCNN), 8-13 Jul 2018, Rio.

Ayiad, M. M. and Di Fatta, G. (2018) Agreement in epidemic data aggregation. In: The 23rd IEEE International Conference on Parallel and Distributed Systems (ICPADS), Dec. 15-17, 2017, Shenzhen, China.

Leppänen, T., Savaglio, C., Lovén, L., Russo, W., Di Fatta, G., Riekki, J. and Fortino, G. (2018) Developing agent-based smart objects for IoT edge computing: mobile crowdsensing use case. In: 11th International Conference on Internet and Distributed Computing Systems (IDCS 2018), 11-13 October 2018, Tokyo, Japan, pp. 235-247.

Raoult, B., Di Fatta, G., Pappenberger, F. and Lawrence, B. ORCID: https://orcid.org/0000-0001-9262-7860 (2018) Fast retrieval of weather analogues in a multi-petabytes archive using wavelet-based fingerprints. In: International Conference on Computational Science, 11-13 June 2018, Wuxi, China, pp. 697-710. doi: https://doi.org/10.1007/978-3-319-93701-4_55

Ayiad, M. M. and Di Fatta, G. (2018) Robust epidemic aggregation under churn. In: The 10th International Conference on Internet and Distributed Computing System 2017 (IDCS 2017), 11 -13 December 2017, Mana Island Resort & Spa, Fiji, pp. 173-185.

Ayiad, M., Katti, A. and Di Fatta, G. (2016) Agreement in epidemic information dissemination. In: International Conference on Internet and Distributed Computing Systems, 28-30 Sept 2016, Wuhan, China, pp. 95-106. doi: https://doi.org/10.1007/978-3-319-45940-0_9

Wrench, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Le, T., Di Fatta, G., Karthikeyan, V. and Nauck, D. (2016) A method of rule induction for predicting and describing future alarms in a telecommunication network. In: Thirty-sixth SGAI International Conference on Artificial Intelligence, 13-15 December 2016, Cambridge, UK, pp. 309-323.

Di Fatta, G., Reade, J. ORCID: https://orcid.org/0000-0002-8610-530X, Jaworska, S. ORCID: https://orcid.org/0000-0001-7465-2245 and Nanda, A. (2015) Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign. In: The 8th IEEE International Conference on Social Computing and Networking (SocialCom 2015), Dec. 19-21, 2015, Chengdu, China.

Poonpakdee, P. and Di Fatta, G. (2015) Connectivity recovery in epidemic membership protocols. In: The 8th International Conference on Internet and Distributed Computing Systems, 2-4 Sep 2015, Windsor, UK, pp. 177-189. doi: https://doi.org/10.1007/978-3-319-23237-9_16

Spedding, A. L., Di Fatta, G. and Cannataro, M. (2015) A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease. In: The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 9-12 Nov 2015, Washington D.C., pp. 1566-1571. doi: https://doi.org/10.1109/BIBM.2015.7359909

Spedding, A. L., Di Fatta, G. and Saddy, J. D. ORCID: https://orcid.org/0000-0001-8501-6076 (2015) An LDA and probability-based classifier for the diagnosis of Alzheimer's Disease from structural MRI. In: The IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 9-12 Nov 2015, Washington D.C.,, pp. 1404-1411. doi: https://doi.org/10.1109/BIBM.2015.7359883

Al Ghamdi, S., Di Fatta, G. and Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 (2015) Optimisation techniques for parallel K-Means on MapReduce. In: Proceedings of the 8th International Conference on Internet and Distributed Computing Systems - Volume 9258, pp. 193-200.

Katti, A., Di Fatta, G., Naughton, T. and Engelmann, C. (2015) Scalable and fault tolerant failure detection and consensus. In: The 22nd European MPI Users' Group Meeting (EuroMPI '15), 21-23 September 2015, Bordeaux, France, Article No. 13. doi: https://doi.org/10.1145/2802658.2802660 (ISBN 9781450337953)

Wrench, C., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Di Fatta, G., Karthikeyan, V. and Nauck, D. (2015) Towards expressive rule induction on IP network event streams. In: AI-2015 Thirty-fifth SGAI International Conference on Artificial Intelligence, 15-17 December 2015, Cambridge.

Sarica, A., Di Fatta, G., Smith, G., Cannataro, M. and Saddy, D. ORCID: https://orcid.org/0000-0001-8501-6076 (2014) Advanced feature selection methods in multinominal dementia classification from structural MRI data. In: CADDementia workshop, Medical Image Computing and Computer Assisted Intervention (MICCAI) 2014 conference, 14-18 Sep 2014, Boston.

Le, T., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gomes, J. B., Gaber, M. M. and Di Fatta, G. (2014) Computationally efficient rule-based classification for continuous streaming data. In: Thirty-fourth SGAI International Conference on Artificial Intelligence, 9-11 Dec 2014, Cambridge, England, pp. 21-34.

Poonpakdee, P. and Di Fatta, G. (2014) Expansion quality of epidemic protocols. In: The 8th International Symposium on Intelligent Distributed Computing (IDC 2014), Sept. 3-5, 2014, Madrid, Spain, pp. 291-300. doi: https://doi.org/10.1007/978-3-319-10422-5_31

Sarica, A., Di Fatta, G. and Cannataro, M. (2014) K-Surfer: a KNIME extension for the management and analysis of Human brain MRI FreeSurfer/FSL data. In: Proceedings of the International Conference on Brain Informatics and Health, 11–14 August 2014, Warsaw, Poland, pp. 481-492.

Tennant, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Di Fatta, G. and Gomes, J. B. (2014) Towards a parallel computationally efficient approach to scaling up data stream classification. In: Thirty-fourth SGAI International Conference on Artificial Intelligence, 9-11 Dec 2014, Cambridge, England, pp. 51-65.

Di Fatta, G., Blasa, F., Cafiero, S. and Fortino, G. (2011) Epidemic K-Means clustering. In: 2011 IEEE 11th International Conference on Data Mining Workshops (ICDMW), 2011, Vancouver, BC , pp. 151-158. doi: https://doi.org/10.1109/ICDMW.2011.76

Blasa, F., Cafiero, S., Fortino, G. and Di Fatta, G. (2011) Symmetric Push-Sum Protocol for decentralised aggregation. In: ThinkMind // AP2PS 2011, The Third International Conference on Advances in P2P Systems , November 20, 2011 to November 25, 2011 , Lisbon, Portugal, pp. 27-32.

Allan, A., Bradbury, J. and Di Fatta, G. (2011) Virtual landmarking for locality aware peer IDs. In: ThinkMind // AP2PS 2011, The Third International Conference on Advances in P2P Systems , November 20, 2011 to November 25, 2011 , Lisbon, Portugal, pp. 7-12.

Allan, A. and Di Fatta, G. (2010) Effectiveness of landmark analysis for establishing locality in p2p networks. In: The Second International Conference on Advances in P2P Systems (AP2PS 2010), 25-30 October 2010, Florence, Italy, pp. 88-92. (ISBN: 9781612081021)

Pettinger, D. and Di Fatta, G. (2009) Scalability of efficient parallel K-Means. In: 5th IEEE International Conference on E-Science Workshops, 2009, 9-11 Dec. 2009, Oxford, United Kingdom, pp. 96-101. doi: https://doi.org/10.1109/ESCIW.2009.5407991

Fiannaca, A., Di Fatta, G., Rizzo, R., Urso, A. and Gaglio, S. (2007) Fast training of self organizing maps for the visual exploration of molecular compounds. In: Int.l Joint Conference on Neural Networks (IJCNN), Aug. 12-17, 2007, Orlando, Florida, pp. 2776-2781. doi: https://doi.org/10.1109/IJCNN.2007.4371399

La Rosa, M., Di Fatta, G., Gaglio, S., Giammanco, G.M., Rizzo, R. and Urso, A. (2007) Topographic map of gammaproteobacteria using 16 s rRNA gene sequence. In: Proceedings of the International Workshop on Computational Intelligence Approaches for the Analysis of Bioinformatics Data (CI-BIO 2007), Orlando, USA.

Di Fatta, G. and Fortino, G. (2007) A customizable multi-agent system for distributed data mining. In: The 22nd ACM Symposium on Applied Computing (SAC 2007), March 11-15, 2007, Seoul, Korea, pp. 42-47. doi: https://doi.org/10.1145/1244002.1244012

Di Fatta, G., Leue, S. and Stegantova, E. (2006) Discriminative pattern mining in software fault detection. In: 3rd International Workshop on Software Quality Assurance (SOQUA), 14th ACM Symposium on Foundations of Software Engineering, 06 Nov 1996, Portland, Oregon, USA, pp. 62-69.

Sieb, C., Di Fatta, G. and Berthold, M. R. (2006) A hierarchical distributed approach for mining molecular fragments. In: International Workshop on Parallel Data Mining, ECML/PKDD, Sept 2006, Berlin, Germany, pp. 25-37.

Berthold, M. R., Cebron, N., Dill, F., Di Fatta, G., Gabriel, T. R., Georg, F., Meinl, T., Ohl, P., Sieb, C. and Wiswedel, B. (2006) KNIME: the Konstanz Information Miner. In: Workshop on Multi-Agent Systems and Simulation (MAS&S), 4th Annual Industrial Simulation Conference (ISC), 05-07 June 2006, Palermo, Italy, pp. 58-61.

Di Fatta, G., Fiannaca, A., Rizzo, R., Urso, A., Berthold, M. and Gaglio, S. (2006) Context-aware visual exploration of molecular databases. In: Int.l Workshop on Data Mining in Bioinformatics, 6th IEEE Int.l Conference on Data Mining ICDM 2006, 18-22 December 2006,, Hong Kong, China, pp. 136-141. doi: https://doi.org/10.1109/ICDMW.2006.51

Di Fatta, G., Leue, S. and Stegantova, E. (2006) Discriminative pattern mining in software fault detection. In: Proceedings of the 3rd International Workhop on Software Quality Assurance (SOQUA), 14th ACM Symposium on Foundations of Software Engineering (AGM SIGSOFT), Portland, Oregon, USA, 62 - 69.

Berthold, M., Cebron, N., Dill, F., Di Fatta, G., Gabriel, T., Georg, F., Meinl, T., Ohl, P., Sieb, C. and Wiswedel, B. (2006) Knime: the Konstanz Information Miner. In: Proceedings of the International Workshop on Multi-Agent Systems and Simulation (MAS&S) 4th Annual Industrial Simulation Conference (ISC), Palermo, Italy, 58 - 61.

Sieb, C., Di Fatta, G. and Berthold, M. (2006) A hierarchical distributed approach for mining molecular fragments. In: Proceedings of the International Workshop on Parallel Data Mining, the 17th European Conference on Machine Learning and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Berlin, Germany, 25 - 37.

Di Fatta, G. and Berthold, M. R. (2005) Efficient mining of discriminative molecular fragments. In: 17th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS-05), 14-16 Nov 2005, Phoenix, AZ, USA, pp. 619-625.

Di Fatta, G. and Berthold, M. R. (2004) Distributed mining of molecular fragments. In: DM-Grid 2004, IEEE Workshop on Data Mining and the Grid in conjunction with ICDM 2004, 1 Nov 2004, Brighton, UK. (Unpublished)

Di Fatta, G., Lo Presto, G. and Lo Re, G. (2003) A parallel genetic algorithm for the Steiner Problem in Networks. In: The 15th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS 2003), 3-5 Nov 2003, Marina del Rey, CA, USA, pp. 569-573.

Di Fatta, G. and Lo Re, G. (2001) Active networks: an evolution of the internet. In: AICA2001, 39th Annual Conference, 19-22 Sept 2001, Cernobbio, Italy, pp. 375-386.

Di Fatta, G., Gaglio, S., Lo Re, G. and Ortolani, M. (2000) Adaptive routing in active networks. In: OPENARCH 2000: Third IEEE Conference on Open Architectures and Network Programming - Short Paper Session, 27 March 2000, Tel-Aviv, Israel, pp. 8-11.

Chella, A., Di Fatta, G., Gaglio, S., Guarino, M.D., Infantino, I., Lo Re, G. and Sajeva, G. (1998) A distributed architecture for cognitive teleautonomy. In: AI*IA-98 Workshop on New Trends in Robotics, 25 Sept 1998, Padua, Italy, pp. 322-326.

Di Fatta, G., Lo Re, G. and Lopes, S. (1998) Transmission protocols processing in a resource reservation environment. In: SCS Euromedia '98, 5-7 Jan 1998, Leicester, UK, pp. 8-13.

Di Fatta, G., Genco, A. and Lo Re, G. (1997) Bottlenecks in name resolution of migrating processes. In: High Performance Computing, 1997, Santiago de Compostela, Spain, pp. 73-82.

Book

Ochoa, S. F., Fortino, G. and Di Fatta, G., eds. (2017) Cyber-physical systems, internet of things and big data. Future Generation Computer Systems, 75. Elsevier, pp. 82-84. doi: https://doi.org/10.1016/j.future.2017.05.040

Di Fatta, G., Fortino, G., Li, W., Pathan, M., Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Guerrieri, A., eds. (2015) Internet and distributed computing systems - 8th international conference, IDCS 2015, Windsor, UK, September 2-4, 2015. Proceedings. Lecture Notes in Computer Science, 9258. Springer. ISBN 9783319232362

Di Fatta, G., Berthold, M. R. and Parthasarathy, S., eds. (2006) PDM 2006: Proceedings of the International Workshop on Data Mining. IEEE.