G. D’Acunto, P. Bajardi, F. Bonchi, G. De Francisci Morales “The Evolving Causal Structure of Equity Risk Factors” ICAIF ’22: ACM International Conference on AI in Finance, pp. _−_, Virtual, 2021.
A. Capozzi, G. De Francisci Morales, Y. Mejova, C. Monti, A. Panisson, D. Paolotti “Facebook Ads: Politics of Migration in Italy” SocInfo’ 20: International Conference on Social Informatics, Pisa, 2020. (best paper runner-up)
G. AbuOda, G. De Francisci Morales, A. Aboulnaga “Link Prediction via Higher-Order Motif Features” ECMLPKDD ’19: European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 412−429, Würzburg, 2019.
A. Cossard, G. De Francisci Morales, Y. Mejova, D. Paolotti “Mapping the Anti-Vaccination Debate in Italy” IC2S2 ’19: International Conference on Computational Social Science, Amsterdam, 2019. [extended abstract]
K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis “Reducing Polarization by Connecting Opposing Views” IC2S2 ’19: International Conference on Computational Social Science, Amsterdam, 2019. [extended abstract]
I. Tsalouchidou, F. Bonchi, G. De Francisci Morales, R. Baeza-Yates “Scalable Dynamic Graph Summarization” TKDE: IEEE Transactions on Knowledge & Data Engineering, 32(2):360−373, 2018.
C. Aslay, M. A. U. Nasir, G. De Francisci Morales, A. Gionis “Mining Frequent Patterns in Evolving Graphs” CIKM ’18: ACM International Conference on Information and Knowledge Management, pp. 923−932, Torino, 2018.
R. Stanojevic, S. Abbar, S. Thirumuruganathan, G. De Francisci Morales, S. Chawla, F. Filali, A. Aleimat “Road Network Fusion for Incremental Map Updates” LBS ’18: International Conference on Location Based Services, pp. 91−109, Zurich, 2018.
K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis “Quantifying Controversy on Social Media” TSC: ACM Transactions on Social Computing, 1(1):3, pp. 1−27, 2018.
M. A. U. Nasir, A. Gionis, G. De Francisci Morales, S. Girdzijauskas “Fully Dynamic Algorithm for Top-k Densest Subgraphs” CIKM ’17: ACM International Conference on Information and Knowledge Management, pp. 1817−1826, Singapore, 2017.
E. Hussein, A. Ghanem, V. V. dos Santos Dias, C. H. C. Teixeira, G. AbuOda, M. Serafini, G. Siganos, G. De Francisci Morales, A. Aboulnaga, M. Zaki “Graph Data Mining with Arabesque” SIGMOD ’17: ACM International Conference on Management of Data, pp. 1647−1650, Chicago, 2017. [demo]
K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis “Reducing Controversy by Connecting Opposing Views” WSDM ’17: ACM International Conference on Web Search and Data Mining, pp. 81−90, Cambridge, 2017. (best student paper award)
N. Kourtellis, G. De Francisci Morales, A. Bifet, A. Murdopo “VHT: Vertical Hoeffding Tree” BigData ’16: IEEE International Conference on Big Data, pp 915−922, Washington, 2016.
I. Tsalouchidou, G. De Francisci Morales, F. Bonchi, R. Baeza-Yates “Scalable Dynamic Graph Summarization” BigData ’16: IEEE International Conference on Big Data, pp 1032−1039, Washington, 2016.
G. De Francisci Morales, A. Bifet, L. Khan, J. Gama, W. Fan “IoT Big Data Stream Mining” KDD ’16: ACM Conference on Knowledge Discovery and Data Mining, pp. 2119−2120, San Francisco, 2016. [tutorial]
G. De Francisci Morales, A. Gionis “Streaming Similarity Self-Join” PVLDB: Proceedings of the VLDB Endowment, 9(10):792−803, 2016.
K. Garimella, M. Mathioudakis, G. De Francisci Morales, A. Gionis “Exploring Controversy in Twitter” CSCW ’16: ACM Conference on Computer-Supported Cooperative Work and Social Computing, pp. 33−36, San Francisco, 2016. [demo]
K. Garimella, G. De Francisci Morales, A. Gionis, M. Mathioudakis “Quantifying Controversy in Social Media” WSDM ’16: ACM International Conference on Web Search and Data Mining, pp. 33−42, San Francisco, 2016.
N. Kourtellis, G. De Francisci Morales, A. Bifet “Analyzing Big Data Streams with Apache SAMOA” MUSE ’15: Workshop on Mining Ubiquitous and Social Environments, @ECMLPKDD, Porto, 2015.
P. Micholia, M. Karaliopoulos, I. Koutsopoulos, L. M. Aiello, G. De Francisci Morales, D. Quercia “Getting Jobs Done for the Sharing Economy” IC2S2 ’15: International Conference on Computational Social Science, Helsinki, 2015. [extended abstract]
A. Bifet, G. De Francisci Morales “Big Data Stream Learning with SAMOA” ICDM ’14: IEEE International Conference on Data Mining, pp. 1199−1202, Shenzhen, 2014. [demo]
G. De Francisci Morales “SAMOA: A Platform for Mining Big Data Streams” RAMSS ’13: International Workshop on Real-Time Analysis and Mining of Social Streams, @WWW, pp. 777−778, Rio De Janeiro, 2013. [extended abstract]
G. De Francisci Morales, A. Shekhawat “The Future of Second Screen Experience” Workshop on Exploring and Enhancing the User Experience for Television, @CHI, Paris, 2013.
M. Iacono-Manno, M. Fargetta, R. Barbera, A. Falzone, G. Andronico, S. Monforte, A. Muoio, R. Bruno, P. Di Primo, S. Orlando, E. Leggio, A. Lombardo, G. Passaro, G. De Francisci Morales, S. Blandino “The Sicilian Grid Infrastructure for High Performance Computing” IJDST: International Journal of Distributed Systems and Technologies, 1(1):40−54, 2010.
“How I Learned to Stop Worrying and Love the Risk”, Keynote MIDAS workshop @ECMLPKDD, 17 Sep 2021. [slides]
“Controversy on Social Media: Collective Attention, Echo Chambers, and Price of Bipartisanship” Controverse Workshop, Montpellier, 22 Nov 2019. [slides]
“Controversy on Social Media: Collective Attention, Echo Chambers, and Price of Bipartisanship” Telecom ParisTech, Paris, 4 Jul 2019. [slides]
“Controversy on Social Media: Collective Attention, Echo Chambers, and Price of Bipartisanship” EPFL, Lausanne, 19 Sep 2018. [slides]
“Quantifying and Reducing Controversy in Social Media” IIIT, Hyderabad, 27 Jun 2018. [slides]
“Quantifying and Reducing Controversy in Social Media” QCRI, Doha, 3 May 2017. [slides]
“Big Data Streams: The Next Frontier” KTH, Stockholm, 24 Jun 2015. [slides]
“To Stream or Not To Stream? The Landscape of Online Analytics” EVAM Solutions Day, Istanbul, 28 May 2015. [slides]
“Mining Big Data Streams: Better Algorithms or Faster Systems?” KAIST, Seoul, 20 April 2015. [slides]
“SAMOA: A Platform for Mining Big Data Streams” Strata ’14, Barcelona, 20 Nov 2014. [slides]
“Mining Big Data Streams” Workshop on “Online Social Networks: Emerging Trends”, University of Cyprus, Nicosia, 8 Oct 2014. [slides]
“SAMOA: A Platform for Mining Big Data Streams” University Federico Santa Maria / University of Chile / University of Santiago, Santiago de Chile, Aug 2014. [slides]
“SAMOA: A Platform for Mining Big Data Streams” Keynote RAMSS ’13 @WWW, Rio De Janeiro, 14 May 2013. [slides]
“Big Data and the Web” IMT Institute for Advanced Studies, Lucca, 21 March 2012. [slides]
“Harnessing the Real-Time Web for Personalized News Recommendation” Yahoo! Labs, Sunnyvale, 16 February 2012. [slides]
“Big Data and the Web: Algorithms for Data Intensive Scalable Computing” WSDM’12 Doctoral Consortium, Seattle, 8 February 2012.
“Social Content Matching in MapReduce” Yahoo! Research, Barcelona, 10 March 2011. [slides]
“Cloud Computing for Large Scale Data Analysis” Yahoo! Research, Barcelona, 2 December 2010. [slides]
“Scaling Out All Pairs Similarity Search with MapReduce” Summer School on Social Networks, Lipari, 6 July 2010. [slides]
“How to Survive the Data Deluge: Petabyte Scale Cloud Computing” ISTI-CNR, Pisa, 18 January 2010. [slides]
Patents
“Two methods for matching social content in MapReduce architecture”
“An automatic method to build flowcharts for e-shopping recommendations”
“An information retrieval method for online news suggestion using closed captions”
“A system for recommending relevant Web content to second-screen application users”
Community Service
Chair: SNOW ’13-14-16-17 (Social News on the Web, workshop @WWW). [web]
Tutorial: “Big Data Streams: The Next Frontier” @EAIA ’18 Advanced School on Data Science for Big Data [web] “Polarization on Social Media” @ICWSM ’17, @WWW ’18, @KDD ’18, @EuroCSS ’19. [web] “IoT Big Data Stream Mining” @KDD ’16, @CIKM ’16, @AAAI ’17, @SDM ’17. [web] “Centrality Measures on Big Graphs: Exact, Approximated, and Distributed Algorithms” @WWW ’16. [web] “Big Data Stream Mining” @IEEE BigData ’14. [web|slides]
