Professor Giuseppe Di Fatta

Email:
g.difatta@reading.ac.uk
Phone:
+44 (0) 118 378 8221
Job title:
Professor of Computer Science

Responsibilities:

Head of the Department of Computer Science

Office

Room 154

Building location

Polly Vacher

Areas of interest

Data mining and machine learning algorithms
Predictive analytics
Big data analytics
Parallel and distributed computing
Data mining in networks.

Teaching

Data Analytics and Mining

Background

Professor Giuseppe Di Fatta is the Head of the Department of Computer Science. Previously, he was School Director of Master's Programmes and the Programme Director of the MSc Advanced Computer Science.

He joined the University of Reading in 2006. From 2004 to 2006, he was with the University of Konstanz, Germany. From 2000 to 2004, he was with the High-Performance Computing and Networking Institute of the National Research Council, Italy. In 1999, he was a research fellow at the International Computer Science Institute (ICSI), Berkeley, CA, USA.

Professional bodies/affiliations

Professor Di Fatta serves on the editorial board of the Elsevier Journal of Network and Computer Applications (JNCA). He is the founder of the IEEE ICDM Workshop on Data Mining in Networks and has chaired several international events, such as the 2015 International Conference on Internet and Distributed Computing Systems.

Websites/blogs

See his personal website for more information and current professional activities. You can also find him on Google Scholar and LinkedIn.

Publications

Varzandian, A. , Razo, M. , Sanders, M. , Atmakuru, A. , Di Fatta, G. (2021) Classification-biased apparent brain age for the prediction of Alzheimer's disease. Frontiers in Neuroscience , 15 ISSN: 1662-453X | doi: https://dx.doi.org/10.3389/fnins.2021.673120
Di Fatta, G. , Sheng, V. , Cuzzocrea, A. (2021) The IEEE ICDM 2020 Workshops. IEEE pp. 26-29. | doi: https://dx.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. , Nicosia, G. (2020) Pareto multi-task deep learning. pp. 132-141. | doi: https://dx.doi.org/10.1007/978-3-030-61616-8 (Part II)
Wrench, C. , Stahl, F. , Di Fatta, G. , Karthikeyan, V. , Nauck, D. (2020) A rule induction approach to forecasting critical alarms in a telecommunication network. pp. 480-489.

Ayiad, M. and Di Fatta, G. (2019) An adaptive restart mechanism for continuous epidemic systems. pp. 57-68. ISSN: 0302-9743 | doi: https://dx.doi.org/10.1007/978-3-030-34914-1_6
Savaglio, C. , Gerace, P. , Di Fatta, G. , Fortino, G. (2019) Data mining at the IoT edge. | doi: https://dx.doi.org/10.1109/ICCCN.2019.8846941
Dyankov, D. , Riccio, S. , Di Fatta, G. , Nicosia, G. (2019) Multi-task learning by pareto optimality. Machine Learning, Optimization, and Data Science. LOD 2019. Lecture Notes in Computer Science Springer (11943). pp. 605-618. ISSN: 0302-9743 ISBN: 9783030375997 | doi: https://dx.doi.org/10.1007/978-3-030-37599-7_50
Song, W. , Dai, S. , Wang, J. , Huang, D. , Liotta, A. , Di Fatta, G. (2019) Bi-gradient verification for Grad-CAM towards accurate visual explanation for remote sensing images. pp. 473-479. | doi: https://dx.doi.org/10.1109/ICDMW.2019.00074
AlDabbagh, A. , Di Fatta, G. , Liotta, A. (2019) The distributed p-median problem in computer networks. pp. 541-556. ISSN: 0302-9743 | doi: https://dx.doi.org/10.1007/978-3-030-24311-1_39
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://dx.doi.org/10.1504/IJBDI.2019.10018592
Di Fatta, G. (2019) Association rules and frequent patterns. In: Ranganathan, S. , Nakai, K. , Schonbach, C. , (eds.) Encyclopedia of Bioinformatics and Computational Biology. , 1. Elsevier pp. 367-373. ISBN: 9780128114322 | doi: https://dx.doi.org/10.1016/B978-0-12-809633-8.20333-6
Mariani, M. , Di Fatta, G. , 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://dx.doi.org/10.1109/ACCESS.2018.2887300
Hong, X. , Mitchell, R. , Di Fatta, G. (2019) Simplex basis function based sparse least squares support vector regression. Neurocomputing , 330 pp. 394-402. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2018.11.025

Leppänen, T. , Savaglio, C. , Lovén, L. , Russo, W. , Di Fatta, G. , Riekki, J. , Fortino, G. (2018) Developing agent-based smart objects for IoT edge computing: mobile crowdsensing use case. pp. 235-247.
Hong, X. , Di Fatta, G. , Chen, H. , Wang, S. (2018) Sparse least squares support vector regression for nonstationary systems.
Raoult, B. , Di Fatta, G. , Pappenberger, F. , Lawrence, B. (2018) Fast retrieval of weather analogues in a multi-petabytes archive using wavelet-based fingerprints. pp. 697-710. ISSN: 0302-9743 | doi: https://dx.doi.org/10.1007/978-3-319-93701-4_55
Ayiad, M. and Di Fatta, G. (2018) Robust epidemic aggregation under churn. pp. 173-185.
Ayiad, M. and Di Fatta, G. (2018) Agreement in epidemic data aggregation.
Katti, A. , Di Fatta, G. , Naughton, T. , 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://dx.doi.org/10.1177/1094342017690910

Ochoa, S. , Fortino, G. , Di Fatta, G. , eds. (2017) Cyber-physical systems, internet of things and big data. Future Generation Computer Systems , 75. Future Generation Computer Systems , 75 pp. 82-84. ISSN: 0167-739X | doi: https://dx.doi.org/10.1016/j.future.2017.05.040
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://dx.doi.org/10.1016/j.future.2017.02.033
Le, T. , Stahl, F. , Gaber, M. , Gomes, J. , Di Fatta, G. (2017) On expressiveness and uncertainty awareness in rule-based classification for data streams. Neurocomputing , 265 pp. 127- 141. ISSN: 0925-2312 | doi: https://dx.doi.org/10.1016/j.neucom.2017.05.081
Salehe, B. , Jones, C. , Di Fatta, G. , McGuffin, L. , eds. (2017) RAPIDSNPs: A new computational pipeline for rapidly identifying key genetic variants reveals previously unidentified SNPs that are significantly associated with individual platelet responses. In: Colombo, G. , (eds.) PLoS ONE , 12 (4). ISSN: 1932-6203 | doi: https://dx.doi.org/10.1371/journal.pone.0175957

Ayiad, M. , Katti, A. , Di Fatta, G. (2016) Agreement in epidemic information dissemination. pp. 95-106. ISSN: 0302-9743 | doi: https://dx.doi.org/10.1007/978-3-319-45940-0_9
Wrench, C. , Stahl, F. , Le, T. , Di Fatta, G. , Karthikeyan, V. , Nauck, D. (2016) A method of rule induction for predicting and describing future alarms in a telecommunication network. Springer International Publishing , Cham. pp. 309-323.
Wrench, C. , Stahl, F. , Di Fatta, G. , Karthikeyan, V. , Nauck, 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. , Roth-Berghofer, T. , (eds.) Enterprise Big Data Engineering, Analytics, and Management. Enterprise Big Data Engineering, Analytics, and Management pp. 24-47. ISBN: 9781522502937 | doi: https://dx.doi.org/10.4018/978-1-5225-0293-7

Al Ghamdi, S. , Di Fatta, G. , Stahl, F. (2015) Optimisation techniques for parallel K-Means on MapReduce. Springer-Verlag New York, Inc. , New York, NY, USA. pp. 193-200.
Wrench, C. , Stahl, F. , Di Fatta, G. , Karthikeyan, V. , Nauck, D. (2015) Towards expressive rule induction on IP network event streams.
Spedding, A. , Di Fatta, G. , Cannataro, M. (2015) A Genetic Algorithm for the selection of structural MRI features for classification of Mild Cognitive Impairment and Alzheimer's Disease. pp. 1566-1571. | doi: https://dx.doi.org/10.1109/BIBM.2015.7359909
Poonpakdee, P. and Di Fatta, G. (2015) Connectivity recovery in epidemic membership protocols. pp. 177-189. ISSN: 0302-9743 | doi: https://dx.doi.org/10.1007/978-3-319-23237-9_16
Spedding, A. , Di Fatta, G. , Saddy, J. (2015) An LDA and probability-based classifier for the diagnosis of Alzheimer's Disease from structural MRI. pp. 1404-1411. | doi: https://dx.doi.org/10.1109/BIBM.2015.7359883
Katti, A. , Di Fatta, G. , Naughton, T. , Engelmann, C. (2015) Scalable and fault tolerant failure detection and consensus. pp. Article No. 13. | doi: https://dx.doi.org/10.1145/2802658.2802660 (ISBN 9781450337953)
Di Fatta, G. , Reade, J. , Jaworska, S. , Nanda, A. (2015) Big social data and political sentiment: the tweet stream during the UK General Election 2015 campaign.
Di Fatta, G. , Fortino, G. , Li, W. , Pathan, M. , Stahl, F. , 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
Bron, E. , Smits, M. , van der Flier, W. , Vrenken, H. , Barkhof, F. , Scheltens, P. , Papma, J. , Steketee, R. , Orellana, C. , Meijboom, R. , Pinto, M. , Meireles, J. , Garrett, C. , Bastos-Leite, A. , Abdulkadir, A. , Ronneberger, O. , Amoroso, N. , Bellotti, R. , Cárdenas-Peña, D. , Álvarez-Meza, A. , Dolph, C. , Iftekharuddin, K. , Eskildsen, S. , Coupé, P. , Fonov, V. , Franke, K. , Gaser, C. , Ledig, C. , Guerrero, R. , Tong, T. , Gray, K. , Moradi, E. , Tohka, J. , Routier, A. , Durrleman, S. , Sarica, A. , Di Fatta, G. , Sensi, F. , Chincarini, A. , Smith, G. , Stoyanov, Z. , Sørensen, L. , Nielsen, M. , Tangaro, S. , Inglese, P. , Wachinger, C. , Reuter, M. , van Swieten, J. , Niessen, W. , 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://dx.doi.org/10.1016/j.neuroimage.2015.01.048

Sarica, A. , Di Fatta, G. , Cannataro, M. (2014) K-Surfer: a KNIME extension for the management and analysis of Human brain MRI FreeSurfer/FSL data. pp. 481-492. ISSN: 0302-9743
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://dx.doi.org/10.1007/s10922-014-9306-8
Fiannaca, A. , La Rosa, M. , Di Fatta, G. , Gaglio, S. , Rizzo, R. , 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). ISSN: 1758-2946 | doi: https://dx.doi.org/10.1186/1758-2946-6-24
Tennant, M. , Stahl, F. , Di Fatta, G. , Gomes, J. (2014) Towards a parallel computationally efficient approach to scaling up data stream classification. Springer International Publishing pp. 51-65.
Le, T. , Stahl, F. , Gomes, J. , Gaber, M. , Di Fatta, G. (2014) Computationally efficient rule-based classification for continuous streaming data. Springer International Publishing pp. 21-34.
Poonpakdee, P. and Di Fatta, G. (2014) Expansion quality of epidemic protocols. pp. 291-300. ISSN: 1860-949X | doi: https://dx.doi.org/10.1007/978-3-319-10422-5_31
Sarica, A. , Di Fatta, G. , Smith, G. , Cannataro, M. , Saddy, D. (2014) Advanced feature selection methods in multinominal dementia classification from structural MRI data.
Fortino, G. , Di Fatta, G. , Pathan, M. , Vasilakos, A. (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://dx.doi.org/10.1007/s11276-014-0714-1
Fortino, G. , Parisi, D. , Pirrone, V. , 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://dx.doi.org/10.1016/j.future.2013.12.015

Pettinger, D. and Di Fatta, G. (2013) Efficient group communication for large-scale parallel clustering. Intelligent Distributed Computing VI. Studies in Computational Intelligence , 446. Springer Berlin Heidelberg , Berlin Heidelberg. pp. 155-164. ISSN: 1860-949X ISBN: 9783642325243 | doi: https://dx.doi.org/10.1007/978-3-642-32524-3_20
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://dx.doi.org/10.1177/1063293X13495551
Goodall, T. , Pettinger, D. , 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://dx.doi.org/10.1016/j.jocs.2013.01.007
Di Fatta, G. and Haworth, G. (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://dx.doi.org/10.1109/TSMC.2013.2252893
Di Fatta, G. , Blasa, F. , Cafiero, S. , 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: 7437315 | doi: https://dx.doi.org/10.1016/j.jpdc.2012.09.009
Fiannaca, A. , Di Fatta, G. , Rizzo, R. , Urso, A. , Gaglio, S. (2013) Simulated annealing technique for fast learning of SOM networks. Neural Computing and Applications , 22 (5). pp. 889-899 . ISSN: 0941-0643 | doi: https://dx.doi.org/10.1007/s00521-011-0780-6

Blasa, F. , Cafiero, S. , Fortino, G. , Di Fatta, G. (2011) Symmetric Push-Sum Protocol for decentralised aggregation. IARIA pp. 27-32. ISBN: 978-1-61208-173-1
Allan, A. , Bradbury, J. , Di Fatta, G. (2011) Virtual landmarking for locality aware peer IDs. IARIA pp. 7-12. ISBN: 978-1-61208-173-1
Di Fatta, G. , Blasa, F. , Cafiero, S. , Fortino, G. (2011) Epidemic K-Means clustering. IEEE pp. 151-158. | doi: https://dx.doi.org/10.1109/ICDMW.2011.76

Pettinger, D. and Di Fatta, G. (2010) Space partitioning for scalable K-means. In: Draghici, S. , Khoshgoftaar, T. , Palade, V. , Pedrycz, W. , Wani, M. , Zhu, X. , (eds.) The Ninth International Conference on Machine Learning and Applications (ICMLA 2010). IEEE Press pp. 319-324. ISBN: 9781424492114 | doi: https://dx.doi.org/10.1109/ICMLA.2010.46
Di Fatta, G. and Pettinger, D. (2010) Dynamic load balancing in parallel KD-tree k-means. 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://dx.doi.org/10.1109/CIT.2010.424
Allan, A. and Di Fatta, G. (2010) Effectiveness of landmark analysis for establishing locality in p2p networks. pp. 88-92. (ISBN: 9781612081021)
Haworth, G. , Regan, K. , 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 ISBN: 9783642129926 | doi: https://dx.doi.org/10.1007/978-3-642-12993-3_10

Fiannaca, . , Di Fatta, . , Rizzo, . , Urso, . , Gaglio, . (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. , Urso, A. (2009) A new linear initialization in SOM for biomolecular data . Lecture Notes in Computer Science , 2009 (5488). pp. 177-187. ISSN: 1611-3349 | doi: DOI:10.1007/978-3-642-02504-4
Pettinger, D. and Di Fatta, G. (2009) Scalability of efficient parallel K-Means. pp. 96-101. | doi: https://dx.doi.org/10.1109/ESCIW.2009.5407991
Di Fatta, G. , Haworth, G. , Regan, K. (2009) Skill Rating by Bayesian Inference. Computational Intelligence and Data Mining, 2009. CIDM '09. IEEE Symposium on. IEEE Symposium on Computational Intelligence and Data Mining, 2009. CIDM '09. pp. 89-94. ISBN: 9781424427659 | doi: DOI:10.1109/CIDM.2009.4938634

La Rosa, . , Di Fatta, . , Gaglio, . , Giammanco, . , Rizzo, . , Urso, . (2007) Topographic map of gammaproteobacteria using 16 s rRNA gene sequence.
La Rosa, M. , Di Fatta, G. , Gaglio, S. , Giammanco, G. , Rizzo, R. , Urso, A. (2007) Soft topographic map for clustering and classification of bacteria. In: Berthold, M. , Shawe-Taylor, J. , 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 Springer-Verlag (4723). , Berlin. pp. 332-343. ISBN: 9783540748243 | doi: https://dx.doi.org/10.1007/978-3-540-74825-0_30
Fiannaa, A. , Di Fatta, G. , Gaglio, S. , Rizzo, R. , Urso, A. (2007) Improved SOM learning using simulated annealing. In: Sá, J. , Alexandre, L. , Duch, W. , 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 Springer-Verlag (4668). , Berlin. pp. 279-288. ISBN: 9783540746898 | doi: https://dx.doi.org/10.1007/978-3-540-74690-4
Fiannaca, A. , Di Fatta, G. , Rizzo, R. , Urso, A. , Gaglio, S. (2007) Fast training of self organizing maps for the visual exploration of molecular compounds. pp. 2776-2781. | doi: https://dx.doi.org/10.1109/IJCNN.2007.4371399
Di Fatta, G. and Fortino, G. (2007) A customizable multi-agent system for distributed data mining. pp. 42-47. | doi: https://dx.doi.org/10.1145/1244002.1244012

Di Fatta, G. , Berthold, M. , Parthasarathy, S. , eds. (2006) PDM 2006: Proceedings of the International Workshop on Data Mining. IEEE
Sieb, . , Di Fatta, . , Berthold, . (2006) A hierarchical distributed approach for mining molecular fragments. pp. 25 - 37.
Di Fatta, . , Leue, . , Stegantova, . (2006) Discriminative pattern mining in software fault detection. pp. 62 - 69.
Berthold, . , Cebron, . , Dill, . , Di Fatta, . , Gabriel, . , Georg, . , Meinl, . , Ohl, . , Sieb, . , Wiswedel, . (2006) Knime: the Konstanz Information Miner. pp. 58 - 61.
Berthold, M. , Cebron, N. , Dill, F. , Di Fatta, G. , Gabriel, T. , Georg, F. , Meinl, T. , Ohl, P. , Sieb, C. , Wiswedel, B. (2006) KNIME: the Konstanz Information Miner. pp. 58-61.
Sieb, C. , Di Fatta, G. , Berthold, M. (2006) A hierarchical distributed approach for mining molecular fragments. pp. 25-37.
Di Fatta, G. , Leue, S. , Stegantova, E. (2006) Discriminative pattern mining in software fault detection. pp. 62-69.
Di Fatta, G. and Berthold, M. (2006) Decentralized load balancing for highly irregular search problems. Microprocessors and Microsystems , 31 (4). pp. 220-226. ISSN: 0141-9331 ISBN: 769525881 | doi: DOI:10.1016/j.micpro.2007.01.004
Di Fatta, G. , Fiannaca, A. , Rizzo, R. , Urso, A. , Berthold, M. , Gaglio, S. (2006) Context-aware visual exploration of molecular databases. pp. 136-141. | doi: https://dx.doi.org/10.1109/ICDMW.2006.51
Di Fatta, G. and Berthold, M. (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: DOI:10.1109/TPDS.2006.101

Di Fatta, G. and Berthold, M. (2005) Efficient mining of discriminative molecular fragments. pp. 619-625.
Di Fatta, G. and Berthold, M. (2005) High performance subgraph mining in molecular compounds. Lecture Notes in Computer Science , 3726 pp. 866-877. ISSN: 0302-9743 | doi: https://dx.doi.org/10.1007/11557654_97

Di Fatta, G. and Berthold, M. (2004) Distributed mining of molecular fragments.
Pilato, G. , Vassallo, G. , Di Fatta, G. , Gaglio, S. (2004) Word mapping in semantic hyperspaces . Atti dell'Accademia di Scienze, Lettere e Arti di Palermo
Vassallo, G. , Pilato, G. , Di Fatta, G. , Gaglio, S. (2004) Sub-symbolic encoding of words in WordNet environment . Atti dell'Accademia di Scienze, Lettere e Arti di Palermo

Di Fatta, G. , Lo Presto, G. , Lo Re, G. (2003) A parallel genetic algorithm for the Steiner Problem in Networks. pp. 569-573.
Di Fatta, G. , Gaglio, S. , Lo Presti, G. , Lo Re, G. , Selvaggio, I. (2003) Distributed intelligent management of active networks . Lecture Notes in Computer Science , 2829/2003 pp. 312-323. ISSN: 0302-9743 | doi: https://dx.doi.org/10.1007/978-3-540-39853-0_26
Di Fatta, G. , Lo Re, G. , 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://dx.doi.org/10.1007/3-540-44839-X_45
Di Fatta, G. , Hoffmann, F. , Lo Re, G. , 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://dx.doi.org/10.1109/TSMCC.2003.818946

Di Fatta, G. , Lo Re, G. , 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://dx.doi.org/10.1007/3-540-46043-8_28
Barone, A. , Chirco, P. , Di Fatta, G. , Lo Re, G. (2002) A management architecture for active networks. Proceedings of Fourth Annual International Workshop on Active Middleware Services. IEEE pp. 41-48. ISBN: 769517218 | doi: https://dx.doi.org/10.1109/AMS.2002.1029689

Di Fatta, G. and Lo Re, G. (2001) Active networks: an evolution of the internet. pp. 375-386.
Silipo, R. and Di Fatta, G. (2001) Learning to reason about data. Intelligent Data Analysis , 5 (5). pp. 439-442. ISSN: 1571-4128 (Online)

Di Fatta, G. , Gaglio, S. , Lo Re, G. , Ortolani, M. (2000) Adaptive routing in active networks. pp. 8-11.
Di Fatta, G. , Gaglio, S. , Lo Re, G. , Ortolani, M. (2000) Artificial ants for active routing . 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. , Re, G. (2000) A reconfigurable neural environment on active networks. Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium. , 6. IEEE pp. 105-108. ISBN: 769506194 | doi: https://dx.doi.org/10.1109/IJCNN.2000.859380

Delgrossi, L. , Di Fatta, G. , Ferrari, D. , 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 ISBN: 9780780350304

Di Fatta, G. , Lo Re, G. , Lopes, S. (1998) Transmission protocols processing in a resource reservation environment . pp. 8-13.
Di Fatta, G. and Lo Re, G. (1998) Efficient tree construction for the multicast problem . ITS'98 proceedings : SBT/IEEE International Telecommunications Symposium : Maksoud Plaza Hotel, São Paulo, Brazil, August 9-13, 1998 . , Vol.2. IEEE , Piscataway, N.J.. pp. 632-637. ISBN: 9780780350304 | doi: https://dx.doi.org/10.1109/ITS.1998.718470
Chella, A. , Di Fatta, G. , Gaglio, S. , Guarino, M. , Infantino, I. , Lo Re, G. , Sajeva, G. (1998) A distributed architecture for cognitive teleautonomy. pp. 322-326.
Di Fatta, G. and Lo Re, G. (1998) Multicast routing tree optimisation. Investigacao Operational Journal , 18 pp. 155-165.

Di Fatta, G. , Genco, A. , Lo Re, G. (1997) Bottlenecks in name resolution of migrating processes . pp. 73-82.

Professor Giuseppe Di Fatta

Office

Building location

Areas of interest

Teaching

Background

Professional bodies/affiliations

Websites/blogs

Publications

2021

2020

2019

2018

2017

2016

2015

2014

2013

2011

2010

2009

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997