The school will include lectures on predictive modelling methods for big and complex data. More specifically, the lectures will present methods handling the following complexity aspects: (a) structured data as input or output of the prediction process, (b) very large/massive datasets, with many examples and/or many input/output dimensions, where data may be streaming at high rates, (c) incompletely/partially labelled data, and (d) data placed in a spatio-temporal or network context. Each of these is a major challenge to current ML/DM approaches and is the central topic of active research in areas such as structured-output prediction, mining data streams, semi-supervised learning, and mining network data. The applicability and the potential of the presented methods will be demonstrated on several showcases from molecular biology, sensor networks, multimedia, and social networks.
The lectures will be given by world leading researchers and experts in machine learning and data mining, as well as experts from the application domains. The program will include talks on the following topics:
The program is crafted towards master and PhD-level students, and also professionals wishing to learn about cutting edge technologies for mining big and complex data.
09:00 - 09:45 | Saso Dzeroski: MAESTRA: Intro
09:45 - 10:30 | Dragi Kocev: Semi-supervised tree learning
10:30 - 11:00 | Coffee break
11:00 - 12:30 | Paolo Frasconi: Kernel methods for structured data
12:30 - 14:30 | Break
14:30 - 16:00 | Ulf Brefeld: Semi-supervised learning for SOP
16:00 - 16:30 | Coffee break
16:30 - 18:00 | Cesare Furlanello: Metagenomics data analysis
20:00 - Poster session
09:00 - 10:30 | Jesse Read: Multi-label learning from batch and streaming data
10:30 - 11:00 | Coffee break
11:00 - 11:30 | Gjorgji Madjarov: Decomposition and structuring of the output space
11:30 - 12:00 | Pance Panov: Ontology of Data Mining
12:00 - 12:30 | Impromptu talk
12:30 - 12:45 | Break
12:45 - 19:30| Networking session at St. Naum Complex
09:00 - 09:45 | Michelangelo Ceci: Mining network data
09:45 - 10:30 | Ljupco Todorovski: Network reconstruction
10:30 - 11:00 | Coffee break
11:00 - 11:45 | Hadi Fanee: Mining tensor data
11:45 - 12:30 | Ljupco Kocarev: Complex Networks Analysis
12:30 - 13:30 | Break
14:30 - 15:30 | Joao Gama: Mining streaming data and networks
15:30 - 16:00 | Saso Dzeroski: SOP on data streams
16:00 - 16:30 | Coffee break
16:30 - 18:00 | Albert Bifet: Architectures for distributed mining of big data
20:00 - Poster session
09:00 - 09:30 | Michelangelo Ceci: Network Applications
09:30 - 10:15 | Donato Malerba: Spatio-temporal data mining: Part 1
10:15 - 10:45 | Annalisa Appice: Spatio-temporal data mining: Part 2
10:45 - 11:00 | Coffee break
11:00 - 12:30 | Ondrej Chum: Large Scale Image Retrieval and Mining
12:30 - 14:30 | Break
14:30 - 15:15 | Julien Mairal: Sparse estimation and dictionary learning
15:15 - 16:00 | Julien Mairal: Towards deep kernel machines
16:00 - 16:30 | Coffee break
16:30 - 18:00 | Ivica Dimitrovski: Deep learning for plant identification
18:30 - 20:30 | Walk in Ohrid
20:30 - School Dinner in Ohrid
09:00 - 10:30 | Fran Supek: Gene function prediction and relating genotypes with phenotypes
10:30 - 11:00 | Coffee break
11:00 - 12:30 | Myra Spiliopoulou: Mining medical data
12:30 - 14:30 | Break
14:30 - 16:00 | Yoav Benjamini: Controlling false discovery rates in multiple testing and selective inference and analysis of neuro data
16:00 - 16:30 | Coffee break
16:30 - 17:15 | Tomislav Smuc: Redescription mining and analysis of neuro data
17:15 - 18:00 | Saso Dzeroski: Closing remarks
18:00 - Farewell Party
The MAESTRA Summer School is not a commercial event and payment of a registration fee is not required from the attendees. Instead, the major organization costs are covered by the FP7 EU project MAESTRA. The registration for the event covers admission to all sessions, school materials, coffee breaks, the school dinner, and the networking session at the St. Naum complex. The registration does not cover accommodation and meals (except the school dinner). The school venue offers lodging at very affordable rates (i.e., full-board service for 35 EUR per day, see the pricelist).
The venue provides limited seating, hence, the school will be open for 50 participants.
The registration for the summer school is now closed.
Sašo Džeroski, Dragi Kocev
Jozef Stefan Institute – JSIMichelangelo Ceci
University of Bari Aldo Moro – UNIBATomislav Šmuc
Rudjer Boskovic Institute – RBIJoao Gama
INESC Technology and Science – INESC TECIvica Dimitrovski
University "Ss. Cyril and Methodius" – UKIMIvica Dimitrovski
Gjorgji Madjarov
Gjorgji Strezoski
Dario Stojanovski
University "Ss. Cyril and Methodius" – UKIMOhrid is within driving distance to Skopje, Thessaloniki and Tirana making it nicely connected to western Europe with budget flights through Wizzair in Skopje or EasyJet in Thessaloniki. The roads in general in Macedonia are safe and good. The main international highway is E-75 connects all major the cities to Skopje. Most likely there will be options for organized transportation from Skopje airport to the venue site. Taxi fares are fairly cheap and start at approximately 20 - 50 MKD (0.33 - 0.80 EUR) and charge additional 25 MKD (0.4 EUR) per 1 km.
Skopje - Ohrid 170km
Thessaloniki - Ohrid (via Bitola) 280km
Tirana - Ohrid 130km
Sofija - Ohrid 320km