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ACCEPTED PAPERS

 

Submissions accepted as regular papers

 

4

Darko Brodic, Alessia Amelio, Ivo R. Draganov and Radmila Jankovic

Exploring the Usability of the Dice CAPTCHA by Advanced Statistical Analysis
(Nomination for AIMSA 2018 Best Paper Award)

6

Yakoub Salhi

Approaches for Enumerating all the Essential Prime Implicants

7

Adrian Robert, David Genest and Stéphane Loiseau

A Query Language for Cognitive Maps

11

Yazid Boumarafi and Yakoub Salhi

Tractable Classes in Exactly-One-SAT

24

Eugénio Ribeiro, Ricardo Ribeiro and David Martins de Matos

A Study on Dialog Act Recognition using Character-Level Tokenization

25

Allan Ramsay and Amal Alshahrani

Constrained permutations for computing textual similarity

26

Tariq Ahmad, Alan Ramsay and Hanady Ahmed

Explorations in sentiment mining for Arabic and English tweets

27

Rory Cawley

Analysis of WTTE-RNN variants that improve performance

28

Ivan Tanev, Milen Georgiev, Katsunori Shimohara and Thomas Ray

Evolving a Team of Asymmetric Predator Agents That Do Not Compute in Predator-prey Pursuit Problem
(Nomination for AIMSA 2018 Best Paper Award)

29

Martin Bohus, Stephan Gimbel, Nora Goerg, Bernhard Humm, Marc Steffens and Ruben Vonderlin

Improving Machine Learning Prediction Performance for Premature Termination of Psychotherapy

30

Costin-Gabriel Chiru and Vlad-Valentin Posea

Time Series Analysis for Sales Prediction

51

Kaspars Balodis and Daiga Deksne

Intent Detection System Based on Word Embeddings

56

Frederico Rodrigues, Bruno Martins and Ricardo Ribeiro

Neural Methods for Cross-lingual Sentence Compression

59

Ionut Daniel Chelcioiu, Dragos Corlatescu, Ionut Cristian Paraschiv, Mihai Dascalu and Stefan Trausan-Matu

Semantic Meta-search using Cohesion Network Analysis

60

Gennady Agre, Daniel Petrov and Simona Kiskinova

A New Approach to Supervised Word Sense Disambiguation
(Nomination for AIMSA 2018 Best Paper Award)

62

Momchil Hardalov, Ivan Koychev and Preslav Nakov

Towards Automated Customer Support

63

Milko Krachunov, Maria Nisheva and Dimitar Vassilev

Machine Learning-driven Noise Separation in High Variation Genomics Sequencing Datasets

64

Dimitrina Zlatkova, Daniel Kopev, Kristiyan Mitov, Atanas Atanasov, Momchil Hardalov, Ivan Koychev and Preslav Nakov

Applying a supervised approach recursively to find style breaches in text

65

Iliyan Mihaylov, Maria Nisheva and Dimitar Vassilev

Machine learning techniques for survival time prediction in breast cancer
(Nomination for AIMSA 2018 Best Paper Award)

68

Svetla Boytcheva

Indirect Association Rules Mining in Clinical Texts

70

Evgeni Stefchov, Galia Angelova and Preslav Nakov

Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts

71

Olga Kanishcheva, Ivelina Nikolova and Galia Angelova

Evaluation of Automatic Tag Sense Disambiguation using the MIRFLICKR Image Collection
(Nomination for AIMSA 2018 Best Paper Award)

72

Petia Koprinkova, Kiril Simov and Petya Osenova

Echo State Network for Word Sense Disambiguation

 

Submissions accepted as posters

 

3

Nouf Altmami and Mohamed Menai

Semantic Graph Based Automatic Summarization of Multiple Related Work Sections of Scientific Articles

34

Octavio Salcedo Parra

Implementing an application that automates Glaucoma detection through the use of image processing and fuzzy logic

53

Ventsislav Nikolov

Implementation of Multilayer Perceptron in Graphics Processing Unit

55

Yara Khaluf, Stef Van Havermaet and Pieter Simoens

Collective Lévy walk for Efficient Exploration in Unknown Environments

58

Sebastian Student, Alicja Płuciennik, Michał Jakubczak and Krzysztof Fujarewicz

Feature Selection based on logistic regression for 2-class classification of multidimensional molecular data

61

Dorinela Sirbu, Robert Botarleanu, Mihai Dascalu, Scott Crossley and Stefan Trausan-Matu

ReadME - Enhancing Automated Writing Evaluation

66

Deyan Peychev and Irena Avdjieva

Semantic Annotation Modelling For Protein Functions Prediction

67

Maciej Kulawik and Robert Nowak

A Blast-based algorithm to find evenly distributed unique subsequences