A C C E P T E D   P A P E R S


Regular Papers

GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care
Mark Hoogendoorn, Ward van Breda, and Jeroen Ruwaard

Predicting Outcomes of Active Sessions Using Multi-action Motifs
Weiqiang Lin, Natasa Milic-Frayling, Ke Zhou, and Eugene Ch’ng

Bayesian Deep Learning with Trust and Distrust in Recommendation Systems
Dimitrios Rafailidis

An Assessment of Blockchain Identity Solutions: Minimizing Risk and Liability of Authentication
Rima Rana, Razieh Nokhbeh Zaeem, and K. Suzanne Barber

An efficient co-Attention Neural Network for Social Recommendation
Munan Li, Kenji Tei, and Yoshiaki Fukazawa

Sentence Simplification from Non-Parallel Corpus with Adversarial Learning
Takashi Kawashima and Tomohiro Takagi

Dialogue based recommender system that flexibly mixes utterances and recommendations
Daisuke Tsumita and Tomohiro Takagi

Reinforcement Learning for Personalized Dialogue Management
Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, and Joost Bosman

An Evolutionary Approach to Class Disjointness Axiom Discovery
Thu Huong Nguyen and Andrea G.B. Tettamanzi

APNEA: Intelligent Ad-Bidding Using Sentiment Analysis
Samuel Suraj Bushi and Osmar Zaiane

Combining visual and contextual information for fraudulent online store classification
Wouter Mostard, Bastiaan Zijlema, and Marco Wiering

Structural Graph Representations based on Multiscale Local Network Topologies
Felix Borutta, Julian Busch, Evgeniy Faerman, Adina Klink, and Matthias Schubert

TACAM: Topic And Context Aware Argument Mining
Michael Fromm, Evgeniy Faerman, and Thomas Seidl

Linear Scheduling of Big Data Streams on Multiprocessor Sets in the Cloud
Nicoleta Tantalaki, Stavros Souravlas, Manos Roumeliotis, and Stefanos Katsavounis

Bridging between emojis and kaomojis by learning their representations from linguistic and visual information
Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Hiroya Takamura, and Manabu Okumura

Algorithm and Architecture of Immediate Personalized News Recommendation
Takeshi Yoneda, Shunsuke Kozawa, Keisuke Osone, Yukinori Koide, Yosuke Abe, and Yoshifumi Seki

A News Recommender System for Media Monitoring
Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, and Manuela Speranza

Deep Dynamic Mixed Membership Stochastic Blockmodel
Zheng Yu, Marcin Pietrasik, and Marek Reformat

Unintended Bias in Misogyny Detection
Debora Nozza, Claudia Volpetti, and Elisabetta Fersini

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network
Hiromi Nakagawa, Yusuke Iwasawa, and Yutaka Matsuo

Towards Issue Recommendation for Open Source Communities
Ralph Samer, Alexander Felfernig, and Martin Stettinger

Analysis of Computational Models to Describe Individual Decision-Making Process
Eugene Santos, Hien Nguyen, Keum Joo Kim, Jacob Russell, Luke Veenhuis, and Luke De Guelle

Personality Recognition in Conversations using Capsule Neural Networks
Esteban Andres Rissola, Seyed Ali Bahrainian, and Fabio Crestani

Joint Heterogeneous Pair-wise Loss For Top-N Recommendations
Jin Yi, Jiajin Huang, Jin Qin, and Yuan Luo

Word Embedding based Clustering to Detect Topics in Social Media Carmela
Comito, Agostino Forestiero, and Clara Pizzuti

Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub
Sameera Horawalavithana, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O. Hall, and Adriana Iamnitchi

Multi-parameter streaming outlier detection
Theodoros Toliopoulos and Anastasios Gounaris

Translation-based Embedding Model for Rating Conversion in Recommender Systems
Phannakan Tengkiattrakul, Saranya Maneeroj, and Atsuhiro Takasu

Exploring Differences in the Impact of Users’ Traces on Arabic and English Facebook Search
Ismail Badache

REALM: An Altmetrics-based Framework to Map Science Impacts on Society. A Case Study on Zika Research
Luis Fernando Monsores Passos Maia, Marcia Lenzi, Elaine Rabello, and Jonice Oliveira

Short Papers

Learning User Reputation on Reddit
Alexandre Parmentier and Robin Cohen

Visited Websites May Reveal Users’ Demographic Information and Personality
Cheng-You Lien, Guo-Jhen Bai, and Hung-Hsuan Chen

Co-learning Multiple Browsing Tendencies of a User by Matrix Factorization-based Multitask Learning
Guo-Jhen Bai, Cheng-You Lien, and Hung-Hsuan Chen

End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning
Ali el Hassouni, Mark Hoogendoorn, A.E. Eiben, Martijn van Otterlo, and Vesa Muhonen

Recommendation Engine for Lower Interest Borrowing on Peer to Peer Lending (P2PL) Platform
Ke Ren and Avinash Malik

CluStream-GT: Online Clustering for Personalization in the Health Domain
Eoin Martino Grua, Mark Hoogendoorn, Ivano Malavolta, Patricia Lago, and A.E. Eiben

FIF: A NLP-based Feature Identification Framework for Data Warehouses
Ajinkya Prabhune and Ashish Chouhan

Cenote: A Big Data Management and Analytics Infrastructure for the Web of Things
Kyriakos Chatzidimitriou, Michail Papamichail, Napoleon-Christos Oikonomou, Dimitrios Lampoudis, and Andreas Symeonidis

Social Network Chatbots for Smoking Cessation: Agent and Multi-Agent Frameworks
Davide Calvaresi, Jean-Paul Calbimonte, Fabien Debusson, Amro Najjar, and Michael Schumacher

Fair Team Recommendations for Multidisciplinary Projects
Lucas Machado and Kostas Stefanidis

Check-It: A plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
Demetris Paschalides, Alexandros Kornilakis, Chrysovalantis Christodoulou, Rafael Andreou, George Pallis, Marios Dikaiakos, and Evangelos Markatos

SemKeyphrase: An Unsupervised Approach to Keyphrase Extraction from MOOC Video Lectures
Abdulaziz Albahr, Dunren Che, and Marwan Albahar

Self-Stabilizing Topology Computation (Identification) of Cactus Graphs Using Master Slave Token Circulation
Yihua Ding, James Wang, and Pradip Srimani

Understanding Traffic Flows in Smart Cities
Chiara Bachechi and Laura Po

Data Integrity 2.0: Towards an End-User Layer for Data Integrity
Hakim Hacid and Lu’ay Abu Rayyan

Cross-Domain Recommender System based on Neural Collaborative Filtering (CD-NCF)
Nawaf Alharbi and Doina Caragea

Predicting Future Participants of Information Propagation Trees
Hsing-Huan Chung, Hen-Hsen Huang, and Hsin-Hsi Chen

The Political Power of Twitter : BREXIT Insights
James Usher, Pierpaolo Dondio, and Lucia Morales

Incremental Blocking for Entity Resolution over Web Streaming Data
Tiago Brasileiro Araújo, Kostas Stefanidis, Carlos Eduardo Santos Pires, Jyrki Nummenmaa, and Thiago Pereira da Nobrega

Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy
Eleni Partalidou, Eleftherios Spyromitros-Xioufis, Stavros Doropoulos, Stavros Vologiannidis, and Konstantinos Diamantaras

Improving Collaborative Filtering’s Rating Prediction Quality by Exploiting the Item Adoption Eagerness Information
Dionisis Margaris, Dimitris Spiliotopoulos, and Costas Vassilakis

A Multi-Agent System for Energy Management in a Dynamic and Open Environment: Architecture and Optimisation
Oudom Kem and Feirouz Ksontini

Generating Objective Summaries of Sports Matches Using Social Media
Chahine Koleejan, Hiroya Takamura, and Manabu Okumura

An Iterative Distance-Based Model for Unsupervised Weighted Rank Aggregation
Leonidas Akritidis, Athanasios Fevgas, and Panayiotis Bozanis

Semi-supervised text classification with deep convolutional neural network using feature fusion approach
Parvaneh Shayegh, Yuefeng Li, Jinglan Zhang, and Qing Zhang

Early Detection of Problem Gambling based on Behavioral Changes using Shapelets
Hiroko Suzuki

Detecting Anomalous Behaviour from Textual Content in Financial Records
Jerry George Thomas, Sudhir P Mudur, and Nematollaah Shiri

Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers
Mehdi Ben Lazreg, Nadia Noori, Tina Comes, and Morten Goodwin

Which machine learning paradigm for fake news detection?
Dimitrios Katsaros, George Stavropoulos, and Dimitrios Papakostas

Opening the black box of perceived quality: Predicting endorsement on a blog site
Catherine Sotirakou, Damian Trilling, Panagiotis Germanakos, and Constantinos Mourlas

Agent-based Business Process Orchestration for IoT
Timotheus Kampik, Avleen Malhi, and Kary Framling

Image Recall on Image-Text Intertwined Lifelogs
Tzu-Hsuan Chu, Hen-Hsen Huang, and Hsin-Hsi Chen

Preference Networks and Non-Linear Preferences in Group Recommendations
Amra Delić, Francesco Ricci, and Julia Neidhardt

Recall this Picture: Understanding Picture Password Selections based on Users’ Sociocultural Experiences
Argyris Constantinides, Christos Fidas, Marios Belk, and Andreas Pitsillides

WoTDL: Web of Things Description Language for Automatic Composition
Mahda Noura and Martin Gaedke

Potential gain as a centrality measure
Pasquale De Meo, Mark Levene, and Alessandro Provetti

PLDSD: Personalized Linked Data Semantic Distance for LOD-Based Recommender Systems
Gabriela da Silva, Frederico Dur√£o, and Miriam Capretz

Blockchain based access control systems: State of the art and challenges
Sara Rouhani and Ralph Deters

What is Real or Fake? – Machine Learning Approaches for Rumor Verification using Stance Classification
Paulo Roberto Da Cordeiro, Vladia Pinheiro, Ronaldo Moreira, Cecilia Carvalho, and Livio Freire

Eye Tracking based Cognitive-Centered User Models
Christos Fidas

A Multilayer Perceptron Architecture for Detecting Deceptive Cryptocurrencies in Coin Market Capitalization Data
Harshita Dalal and Muhammad Abulaish

Proactive Phishing Sites Detection
Akihito Nakamura and Fuma Dobashi

Disjunctive Sets of Phrase Queries for Diverse Query Suggestion
Ziyang Liao and Keishi Tajima

Machine Learning Based Web-Traffic Analysis for Detection of Fraudulent Resource Consumption Attack in Cloud
Rishabh Rustogi, Samant Saurabh, Abhishek Agarwal, and Ayush Prasad

SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data
Muhammad Abulaish, Mohammad Rahimi, Habeebullah Ebrahemi, and Amit Sah

A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter
Muhammad Abulaish, Nikita Kumari, Mohd. Fazil, and Basanta Singh

Extracting Ego-Centric Social Networks from Linked Open Data
Raji Ghawi, Mirco Schönfeld, and Joergen Pfeffer