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
