List of papers accepted for presentation at AIMSA 2014 Conference

 

Long papers (30 minutes for oral presentation):

 

• Masayasu Atsumi. Learning Probabilistic Semantic Network of Object-oriented Action and Activity. (Nomination for AIMSA’14 Best Paper Award)
• Veselka Boeva, Liliana Boneva and Elena Tsiporkova. Semantic-aware Expert Partitioning
• Dumitru Clementin Cercel and Stefan Trausan-Matu. User-Level Opinion Propagation Analysis in Discussion Forum Threads. (Nomination for AIMSA’14 Best Paper Award)
• Milen Chechev and Ivan Koychev. Social News Feed Recommender. (Nomination for AIMSA’14 Best Paper Award)
• Dmitry Ignatov, Elena Nenova, Natalia Konstantinova and Andrey Konstantinov. Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach. (Nomination for AIMSA’14 Best Paper Award)
• Petia Koprinkova-Hristova and Kiril Alexiev. Dynamic Sound Fields Clusterization using Neuro-Fuzzy Approach
• Gergana Lazarova. Semi-Supervised Image Segmentation. (Nomination for AIMSA’14 Best Paper Award)
• Jie Liu, Kai Niu and Zhiqiang He. Analysis of rumor spreading in communities based on modified SIR model in microblog. (Nomination for AIMSA’14 Best Paper Award)
• Sibylle Moehle, Michael Bruendl and Christoph Beierle. Modeling a System for Decision Support in Snow Avalanche Warning Using Balanced Random Forest and Weighted Random Forest. (Nomination for AIMSA’14 Best Paper Award)
• Ivelina Nikolova, Dimitar Tcharaktchiev, Svetla Boytcheva, Zhivko Angelov and Galia Angelova. Applying Language Technologies on Healthcare Patient Records for Better Treatment of Bulgarian Diabetic Patients. (Nomination for AIMSA’14 Best Paper Award)
• Luca Rubini, Rossella Cancelliere, Patrick Gallinari, Andrea Grosso and Antonino Raiti. Computational experience with pseudoinversion-based training of neural networks using random-projection matrices.
• Michael Sioutis and Jean-François Condotta. Incrementally Building Partially Path Consistent Qualitative Constraint Networks
• Michael Sioutis, Yakoub Salhi, Jean-François Condotta and Bertrand Mazure. A Qualitative Spatio-Temporal framework based on Point Algebra
• Roman Suvorov, Ilya Sochenkov and Ilya Tikhomirov. Dataset Collecting and Feature Selection for Web Content Filtering. (Nomination for AIMSA’14 Best Paper Award)
• Varvara Tsurko and Anatoly Michalski. Feature selection by distributions contrasting
• Karel Vaculík, Leona Nezvalová and Luboš Popelínský. Educational data mining for analysis of students' solutions

Short papers (20 minutes for oral presentation):

 

• Darko Brodic, Cedomir Maluckov, Zoran Milivojevic and Ivo Draganov. Differentiation of the Script using Adjacent Local Binary Patterns
• Irina Efimenko and Vladimir Khoroshevsky. New Technology Trends Watch: an Approach and Case Study
• Jacek Kabziński. Optimization of polytopic system eigenvalues by swarm of particles
• Tibor Kmet and Maria Kmetova. Back-propagation learning of partial functional differential equation with discrete time delay
• Piotr A. Kowalski and Piotr Kulczycki. Neural Classification for Interval Information
• Alexey Neznanov and Andrew Parinov. FCA Analyst Session and Data Access Tools in FCART
• Ionut Paraschiv, Mihai Dascalu and Stefan Trausan-Matu. Voice Control Framework for Form Based Applications
• Domenico Redavid, Stefano Ferilli and Floriana Esposito. Towards Management of OWL-S Effects by means of a DL Action formalism combined with OWL Contexts
• Sohail Sarwar, Yasir Mahmood, Zia Ul Qayyum and Imran Shafi. Test Case Prioritization for NUnit Based Test Plans in Agile Environment
• Fedor Strok, Boris Galitsky, Dmitry Ilvovsky and Sergei O. Kuznetsov. Pattern Structure Projections for Learning Discourse Structures
• Myongchol Tokgo and Renfu Li. Estimation method for path planning parameter based on a modified QPSO algorithm
• Jindřich Vodrážka and Roman Barták. On modeling formalisms for automated planning
• Konstantin Yakovlev, Egor Baskin and Ivan Hramoin. Finetuning Randomized Heuristic Search For 2D Path Planning: Finding The Best Input Parameters For R* Algorithm Through Series Of Experiments
• Arturo Yee, Reinaldo Rodríguez and Matias Alvarado. Analysis of strategies in American Football using Nash Equilibrium 
• Kristina Yordanova, Martin Nyolt and Thomas Kirste. Strategies for Reducing the Complexity of Symbolic Models for Activity Recognition