[et_pb_section fb_built=”1″ _builder_version=”3.16.1″][et_pb_row custom_padding=”27px|0px|27px|0|false|false” _builder_version=”3.16.1″][et_pb_column type=”4_4″ _builder_version=”3.16.1″][et_pb_text _builder_version=”3.21.4″]<\/p>\n
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[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”3.21.4″][et_pb_column type=”1_2″ _builder_version=”3.21.4″][et_pb_text _builder_version=”3.21.4″]<\/p>\n
GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care<\/strong> Predicting Outcomes of Active Sessions Using Multi-action Motifs<\/strong> Bayesian Deep Learning with Trust and Distrust in Recommendation Systems<\/strong> An Assessment of Blockchain Identity Solutions: Minimizing Risk and Liability of Authentication<\/strong> An efficient co-Attention Neural Network for Social Recommendation<\/strong> Sentence Simplification from Non-Parallel Corpus with Adversarial Learning<\/strong> Dialogue based recommender system that flexibly mixes utterances and recommendations<\/strong> Reinforcement Learning for Personalized Dialogue Management<\/strong> An Evolutionary Approach to Class Disjointness Axiom Discovery<\/strong> APNEA: Intelligent Ad-Bidding Using Sentiment Analysis<\/strong> Combining visual and contextual information for fraudulent online store classification<\/strong> Structural Graph Representations based on Multiscale Local Network Topologies<\/strong> TACAM: Topic And Context Aware Argument Mining<\/strong> Linear Scheduling of Big Data Streams on Multiprocessor Sets in the Cloud<\/strong> Bridging between emojis and kaomojis by learning their representations from linguistic and visual information<\/strong> Algorithm and Architecture of Immediate Personalized News Recommendation<\/strong> A News Recommender System for Media Monitoring<\/strong> Deep Dynamic Mixed Membership Stochastic Blockmodel<\/strong> Unintended Bias in Misogyny Detection<\/strong> Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network<\/strong> Towards Issue Recommendation for Open Source Communities<\/strong> Analysis of Computational Models to Describe Individual Decision-Making Process<\/strong> Personality Recognition in Conversations using Capsule Neural Networks<\/strong> Joint Heterogeneous Pair-wise Loss For Top-N Recommendations<\/strong> Word Embedding based Clustering to Detect Topics in Social Media Carmela<\/strong> Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub<\/strong> Multi-parameter streaming outlier detection<\/strong> Translation-based Embedding Model for Rating Conversion in Recommender Systems<\/strong> Exploring Differences in the Impact of Users’ Traces on Arabic and English Facebook Search<\/strong> REALM: An Altmetrics-based Framework to Map Science Impacts on Society. A Case Study on Zika Research<\/strong> [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”3.21.4″][et_pb_text _builder_version=”3.21.4″]<\/p>\n Learning User Reputation on Reddit <\/strong> Visited Websites May Reveal Users’ Demographic Information and Personality<\/strong> Co-learning Multiple Browsing Tendencies of a User by Matrix Factorization-based Multitask Learning <\/strong> End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning <\/strong> Recommendation Engine for Lower Interest Borrowing on Peer to Peer Lending (P2PL) Platform <\/strong> CluStream-GT: Online Clustering for Personalization in the Health Domain <\/strong> FIF: A NLP-based Feature Identification Framework for Data Warehouses <\/strong> Cenote: A Big Data Management and Analytics Infrastructure for the Web of Things <\/strong> Social Network Chatbots for Smoking Cessation: Agent and Multi-Agent Frameworks <\/strong> Fair Team Recommendations for Multidisciplinary Projects <\/strong> Check-It: A plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web <\/strong> SemKeyphrase: An Unsupervised Approach to Keyphrase Extraction from MOOC Video Lectures <\/strong> Self-Stabilizing Topology Computation (Identification) of Cactus Graphs Using Master Slave Token Circulation <\/strong> Understanding Traffic Flows in Smart Cities <\/strong> Data Integrity 2.0: Towards an End-User Layer for Data Integrity <\/strong> Cross-Domain Recommender System based on Neural Collaborative Filtering (CD-NCF) <\/strong> Predicting Future Participants of Information Propagation Trees <\/strong> The Political Power of Twitter : BREXIT Insights <\/strong> Incremental Blocking for Entity Resolution over Web Streaming Data <\/strong> Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy <\/strong> Improving Collaborative Filtering\u201a\u00c4\u00f4s Rating Prediction Quality by Exploiting the Item Adoption Eagerness Information <\/strong> A Multi-Agent System for Energy Management in a Dynamic and Open Environment: Architecture and Optimisation <\/strong> Generating Objective Summaries of Sports Matches Using Social Media <\/strong> An Iterative Distance-Based Model for Unsupervised Weighted Rank Aggregation <\/strong> Semi-supervised text classification with deep convolutional neural network using feature fusion approach <\/strong> Early Detection of Problem Gambling based on Behavioral Changes using Shapelets <\/strong> Detecting Anomalous Behaviour from Textual Content in Financial Records <\/strong> Not a Target. A Deep Learning Approach for a Warning and Decision Support System to Improve Safety and Security of Humanitarian Aid Workers <\/strong> Which machine learning paradigm for fake news detection? <\/strong> Opening the black box of perceived quality: Predicting endorsement on a blog site <\/strong> Agent-based Business Process Orchestration for IoT <\/strong> Image Recall on Image-Text Intertwined Lifelogs <\/strong> Preference Networks and Non-Linear Preferences in Group Recommendations <\/strong> Recall this Picture: Understanding Picture Password Selections based on Users’ Sociocultural Experiences <\/strong> WoTDL: Web of Things Description Language for Automatic Composition <\/strong> Potential gain as a centrality measure <\/strong> PLDSD: Personalized Linked Data Semantic Distance for LOD-Based Recommender Systems <\/strong> Blockchain based access control systems: State of the art and challenges <\/strong> What is Real or Fake? – Machine Learning Approaches for Rumor Verification using Stance Classification <\/strong> Eye Tracking based Cognitive-Centered User Models <\/strong> A Multilayer Perceptron Architecture for Detecting Deceptive Cryptocurrencies in Coin Market Capitalization Data <\/strong> Proactive Phishing Sites Detection <\/strong> Disjunctive Sets of Phrase Queries for Diverse Query Suggestion <\/strong> Machine Learning Based Web-Traffic Analysis for Detection of Fraudulent Resource Consumption Attack in Cloud <\/strong> SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data <\/strong> A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter <\/strong> Extracting Ego-Centric Social Networks from Linked Open Data <\/strong> [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" A C C E P T E D\u00a0 \u00a0P 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 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":""},"_links":{"self":[{"href":"https:\/\/easyconferences.eu\/wi2019\/wp-json\/wp\/v2\/pages\/847"}],"collection":[{"href":"https:\/\/easyconferences.eu\/wi2019\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/easyconferences.eu\/wi2019\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/easyconferences.eu\/wi2019\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/easyconferences.eu\/wi2019\/wp-json\/wp\/v2\/comments?post=847"}],"version-history":[{"count":3,"href":"https:\/\/easyconferences.eu\/wi2019\/wp-json\/wp\/v2\/pages\/847\/revisions"}],"predecessor-version":[{"id":852,"href":"https:\/\/easyconferences.eu\/wi2019\/wp-json\/wp\/v2\/pages\/847\/revisions\/852"}],"wp:attachment":[{"href":"https:\/\/easyconferences.eu\/wi2019\/wp-json\/wp\/v2\/media?parent=847"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Mark Hoogendoorn, Ward van Breda, and Jeroen Ruwaard<\/p>\n
Weiqiang Lin, Natasa Milic-Frayling, Ke Zhou, and Eugene Ch’ng<\/p>\n
Dimitrios Rafailidis<\/p>\n
Rima Rana, Razieh Nokhbeh Zaeem, and K. Suzanne Barber<\/p>\n
Munan Li, Kenji Tei, and Yoshiaki Fukazawa<\/p>\n
Takashi Kawashima and Tomohiro Takagi<\/p>\n
Daisuke Tsumita and Tomohiro Takagi<\/p>\n
Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, and Joost Bosman<\/p>\n
Thu Huong Nguyen and Andrea G.B. Tettamanzi<\/p>\n
Samuel Suraj Bushi and Osmar Zaiane<\/p>\n
Wouter Mostard, Bastiaan Zijlema, and Marco Wiering<\/p>\n
Felix Borutta, Julian Busch, Evgeniy Faerman, Adina Klink, and Matthias Schubert<\/p>\n
Michael Fromm, Evgeniy Faerman, and Thomas Seidl<\/p>\n
Nicoleta Tantalaki, Stavros Souravlas, Manos Roumeliotis, and Stefanos Katsavounis<\/p>\n
Jingun Kwon, Naoki Kobayashi, Hidetaka Kamigaito, Hiroya Takamura, and Manabu Okumura<\/p>\n
Takeshi Yoneda, Shunsuke Kozawa, Keisuke Osone, Yukinori Koide, Yosuke Abe, and Yoshifumi Seki<\/p>\n
Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, and Manuela Speranza<\/p>\n
Zheng Yu, Marcin Pietrasik, and Marek Reformat<\/p>\n
Debora Nozza, Claudia Volpetti, and Elisabetta Fersini<\/p>\n
Hiromi Nakagawa, Yusuke Iwasawa, and Yutaka Matsuo<\/p>\n
Ralph Samer, Alexander Felfernig, and Martin Stettinger<\/p>\n
Eugene Santos, Hien Nguyen, Keum Joo Kim, Jacob Russell, Luke Veenhuis, and Luke De Guelle<\/p>\n
Esteban Andres Rissola, Seyed Ali Bahrainian, and Fabio Crestani<\/p>\n
Jin Yi, Jiajin Huang, Jin Qin, and Yuan Luo<\/p>\n
Comito, Agostino Forestiero, and Clara Pizzuti<\/p>\n
Sameera Horawalavithana, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O. Hall, and Adriana Iamnitchi<\/p>\n
Theodoros Toliopoulos and Anastasios Gounaris<\/p>\n
Phannakan Tengkiattrakul, Saranya Maneeroj, and Atsuhiro Takasu<\/p>\n
Ismail Badache<\/p>\n
Luis Fernando Monsores Passos Maia, Marcia Lenzi, Elaine Rabello, and Jonice Oliveira<\/p>\nShort Papers<\/span><\/h3>\n
Alexandre Parmentier and Robin Cohen<\/p>\n
Cheng-You Lien, Guo-Jhen Bai, and Hung-Hsuan Chen<\/p>\n
Guo-Jhen Bai, Cheng-You Lien, and Hung-Hsuan Chen<\/p>\n
Ali el Hassouni, Mark Hoogendoorn, A.E. Eiben, Martijn van Otterlo, and Vesa Muhonen<\/p>\n
Ke Ren and Avinash Malik<\/p>\n
Eoin Martino Grua, Mark Hoogendoorn, Ivano Malavolta, Patricia Lago, and A.E. Eiben<\/p>\n
Ajinkya Prabhune and Ashish Chouhan<\/p>\n
Kyriakos Chatzidimitriou, Michail Papamichail, Napoleon-Christos Oikonomou, Dimitrios Lampoudis, and Andreas Symeonidis<\/p>\n
Davide Calvaresi, Jean-Paul Calbimonte, Fabien Debusson, Amro Najjar, and Michael Schumacher<\/p>\n
Lucas Machado and Kostas Stefanidis<\/p>\n
Demetris Paschalides, Alexandros Kornilakis, Chrysovalantis Christodoulou, Rafael Andreou, George Pallis, Marios Dikaiakos, and Evangelos Markatos<\/p>\n
Abdulaziz Albahr, Dunren Che, and Marwan Albahar<\/p>\n
Yihua Ding, James Wang, and Pradip Srimani<\/p>\n
Chiara Bachechi and Laura Po<\/p>\n
Hakim Hacid and Lu’ay Abu Rayyan<\/p>\n
Nawaf Alharbi and Doina Caragea<\/p>\n
Hsing-Huan Chung, Hen-Hsen Huang, and Hsin-Hsi Chen<\/p>\n
James Usher, Pierpaolo Dondio, and Lucia Morales<\/p>\n
Tiago Brasileiro Ara\u00fajo, Kostas Stefanidis, Carlos Eduardo Santos Pires, Jyrki Nummenmaa, and Thiago Pereira da Nobrega<\/p>\n
Eleni Partalidou, Eleftherios Spyromitros-Xioufis, Stavros Doropoulos, Stavros Vologiannidis, and Konstantinos Diamantaras<\/p>\n
Dionisis Margaris, Dimitris Spiliotopoulos, and Costas Vassilakis<\/p>\n
Oudom Kem and Feirouz Ksontini<\/p>\n
Chahine Koleejan, Hiroya Takamura, and Manabu Okumura<\/p>\n
Leonidas Akritidis, Athanasios Fevgas, and Panayiotis Bozanis<\/p>\n
Parvaneh Shayegh, Yuefeng Li, Jinglan Zhang, and Qing Zhang<\/p>\n
Hiroko Suzuki<\/p>\n
Jerry George Thomas, Sudhir P Mudur, and Nematollaah Shiri<\/p>\n
Mehdi Ben Lazreg, Nadia Noori, Tina Comes, and Morten Goodwin<\/p>\n
Dimitrios Katsaros, George Stavropoulos, and Dimitrios Papakostas<\/p>\n
Catherine Sotirakou, Damian Trilling, Panagiotis Germanakos, and Constantinos Mourlas<\/p>\n
Timotheus Kampik, Avleen Malhi, and Kary Framling<\/p>\n
Tzu-Hsuan Chu, Hen-Hsen Huang, and Hsin-Hsi Chen<\/p>\n
Amra Deli\u0192\u00e1, Francesco Ricci, and Julia Neidhardt<\/p>\n
Argyris Constantinides, Christos Fidas, Marios Belk, and Andreas Pitsillides<\/p>\n
Mahda Noura and Martin Gaedke<\/p>\n
Pasquale De Meo, Mark Levene, and Alessandro Provetti<\/p>\n
Gabriela da Silva, Frederico Dur\u221a\u00a3o, and Miriam Capretz<\/p>\n
Sara Rouhani and Ralph Deters<\/p>\n
Paulo Roberto Da Cordeiro, Vladia Pinheiro, Ronaldo Moreira, Cecilia Carvalho, and Livio Freire<\/p>\n
Christos Fidas<\/p>\n
Harshita Dalal and Muhammad Abulaish<\/p>\n
Akihito Nakamura and Fuma Dobashi<\/p>\n
Ziyang Liao and Keishi Tajima<\/p>\n
Rishabh Rustogi, Samant Saurabh, Abhishek Agarwal, and Ayush Prasad<\/p>\n
Muhammad Abulaish, Mohammad Rahimi, Habeebullah Ebrahemi, and Amit Sah<\/p>\n
Muhammad Abulaish, Nikita Kumari, Mohd. Fazil, and Basanta Singh<\/p>\n
Raji Ghawi, Mirco Sch\u221a\u2202nfeld, and Joergen Pfeffer<\/p>\n