Publications in 2014



Mining longitudinal epidemiological data to understand a reversible disorder. Proc. of the 13th Int. Symposium on Intelligent Data Analysis (IDA'14), Springer, Leuven, Belgium, 2014.

Are Some Brain Injury Patients Improving More Than Others?. The 2014 International Conference on Brain Informatics and Health (BIH \'14), Warsaw, Poland., 2014.

Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis. Expert Systems with Applications, (41)11:5405-5415, Elsevier BV, September 2014. URL

Tagungsband der Magdeburger-Informatik-Tage, 3. Doktorandentagung 2014 (MIT 2014). In Christian Hansen, Stefan Knoll, Veit Köppen, Georg Krempl, Claudia Krull, and Eike Schallehn (Eds.), Magdeburg University, 2014. URL

Data analysis, machine learning and knowledge discovery. In Myra Spiliopoulou, Lars Schmidt-Thieme, and Ruth Janning (Eds.), Studies in Classification, Data Analysis, and Knowledge Organization, Springer International Publishing, 2014. URL

Subpopulation Discovery in Epidemiological Data with Subspace Clustering. Foundations of Computing and Decision Sciences (FCDS), (39)4:271-300, 2014. URL

Discovering and Monitoring Product Features and the Opinions on them with OPINSTREAM. Neurocomput., Elsevier Science Publishers B. V., Amsterdam, The Netherlands, The Netherlands, 2014.

xStreams: Recommending Items to Users with Time-evolving Preferences. 4th International Conference on Web Intelligence, Mining and Semantics(WIMS 14), Thessaloniki, Greece., 2014.

Hoeffding-CF: Neighbourhood-Based Recommendations on Reliably Similar Users. In Vania Dimitrova, Tsvi Kuflik, David Chin, Francesco Ricci, Peter Dolog, and Geert-Jan Houben (Eds.), User Modeling, Adaptation, and Personalization, (8538):146–157, Springer International Publishing, 2014. URL

Summarizing dynamic Social Tagging Systems. Expert Systems with Applications, (41)2:457-469, Elsevier BV, February 2014. URL

Adaptive Semi Supervised Opinion Classifier With Forgetting Mechanism. Proc. of the 29th Annual ACM Symposium on Applied Computing, ACM, 2014.

Using Participant Similarity for the Classification of Epidemiological Data on Hepatic Steatosis. Proc. of the 27th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS14), IEEE, Mount Sinai, NY, 2014. URL

Probabilistic Active Learning: A Short Proposition. In Torsten Schaub, Gerhard Friedrich, and Barry O'Sullivan (Eds.), Proceedings of the 21st European Conference on Artificial Intelligence (ECAI2014), August 18 -- 22, 2014, Prague, Czech Republic, (263)IOS Press, 2014. URL

Predicting the Performance of Collaborative Filtering Algorithms. Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), 38:1--38:6, ACM, New York, NY, USA, 2014. URL

Open Challenges for Data Stream Mining Research. In Charu Aggarwal, Haixun Wang, Hanghang Tong, and Ankur M. Teredesai (Eds.), SIGKDD Explorations, (16 Special Issue on Big Data)1:1--10, 2014. URL

Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency. In Saso Dzeroski, Pance Panov, Dragi Kocev, and Ljupco Todorovski (Eds.), Proceedings of the 17th Int. Conf. on Discovery Science (DS), Bled, Springer, 2014. URL

Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. In Calders et al. (Eds.), European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014) - DEMO TRACK, (8726):460-463, Springer Berlin Heidelberg, 2014. URL

A Semi-supervised Self-Adaptive Classifier over Opinionated Streams. Proceedings of the 2014 IEEE 14th International Conference on Data Mining Workshops, IEEE Computer Society, Washington, DC, USA, 2014.

Selective Forgetting for Incremental Matrix Factorization in Recommender Systems. In Sašo Džeroski, Panče Panov, Dragi Kocev, and Ljupčo Todorovski (Eds.), Discovery Science, (8777):204-215, Springer International Publishing, 2014. URL

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