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Publication search results
found 80 matches
- 2019
- Dimitrios Katsaros, George Stavropoulos, Dimitrios Papakostas:
Which machine learning paradigm for fake news detection? WI 2019: 383-387 - Muhammad Abulaish, Nikita Kumari, Mohd Fazil, Basanta Singh:
A Graph-Theoretic Embedding-Based Approach for Rumor Detection in Twitter. WI 2019: 466-470 - Muhammad Abulaish, Mohammad Rahimi, Habeebullah Ebrahemi, Amit Kumar Sah:
SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data. WI 2019: 461-465 - Leonidas Akritidis, Athanasios Fevgas, Panayiotis Bozanis:
An Iterative Distance-Based Model for Unsupervised Weighted Rank Aggregation. WI 2019: 358-362 - Abdulaziz Albahr, Dunren Che, Marwan Ali Albahar:
SemKeyphrase: An Unsupervised Approach to Keyphrase Extraction from MOOC Video Lectures. WI 2019: 303-307 - Tiago Brasileiro Araújo, Kostas Stefanidis, Carlos Eduardo Santos Pires, Jyrki Nummenmaa, Thiago Pereira da Nóbrega:
Incremental Blocking for Entity Resolution over Web Streaming Data. WI 2019: 332-336 - Chiara Bachechi, Laura Po:
Implementing an Urban Dynamic Traffic Model. WI 2019: 312-316 - Ismail Badache:
Exploring Differences in the Impact of Users' Traces on Arabic and English Facebook Search. WI 2019: 225-232 - Guo-Jhen Bai, Cheng-You Lien, Hung-Hsuan Chen:
Co-learning Multiple Browsing Tendencies of a User by Matrix Factorization-based Multitask Learning. WI 2019: 253-257 - Francesco Barile, Francesco Ricci, Marko Tkalcic, Bernardo Magnini, Roberto Zanoli, Alberto Lavelli, Manuela Speranza:
A News Recommender System for Media Monitoring. WI 2019: 132-140 - Felix Borutta, Julian Busch, Evgeniy Faerman, Adina Klink, Matthias Schubert:
Structural Graph Representations based on Multiscale Local Network Topologies. WI 2019: 91-98 - Samuel Suraj Bushi, Osmar R. Zaïane:
APNEA: Intelligent Ad-Bidding Using Sentiment Analysis. WI 2019: 76-83 - Davide Calvaresi, Jean-Paul Calbimonte, Fabien Dubosson, Amro Najjar, Michael Schumacher:
Social Network Chatbots for Smoking Cessation: Agent and Multi-Agent Frameworks. WI 2019: 286-292 - Kyriakos C. Chatzidimitriou, Michail Papamichail, Napoleon-Christos I. Oikonomou, Dimitrios Lampoudis, Andreas L. Symeonidis:
Cenote: A Big Data Management and Analytics Infrastructure for the Web of Things. WI 2019: 282-285 - Tzu-Hsuan Chu, Hen-Hsen Huang, Hsin-Hsi Chen:
Image Recall on Image-Text Intertwined Lifelogs. WI 2019: 398-402 - Hsing-Huan Chung, Hen-Hsen Huang, Hsin-Hsi Chen:
Predicting Future Participants of Information Propagation Trees. WI 2019: 321-325 - Carmela Comito, Agostino Forestiero, Clara Pizzuti:
Word Embedding based Clustering to Detect Topics in Social Media. WI 2019: 192-199 - Argyris Constantinides, Christos Fidas, Marios Belk, Andreas Pitsillides:
"I Recall this Picture": Understanding Picture Password Selections based on Users' Sociocultural Experiences. WI 2019: 408-412 - Paulo Roberto da Cordeiro, Vládia Pinheiro, Ronaldo S. Moreira, Cecilia Carvalho, Livio Freire:
What is Real or Fake? - Machine Learning Approaches for Rumor Verification using Stance Classification. WI 2019: 429-432 - Harshita Dalal, Muhammad Abulaish:
A Multilayer Perceptron Architecture for Detecting Deceptive Cryptocurrencies in Coin Market Capitalization Data. WI 2019: 438-442 - Amra Delic, Francesco Ricci, Julia Neidhardt:
Preference Networks and Non-Linear Preferences in Group Recommendations. WI 2019: 403-407 - Yihua Ding, James Z. Wang, Pradip K. Srimani:
Self-Stabilizing Topology Computation (Identification) of Cactus Graphs Using Master Slave Token Circulation. WI 2019: 308-311 - Christos Fidas:
Eye Tracking based Cognitive-Centered User Models. WI 2019: 433-437 - Michael Fromm, Evgeniy Faerman, Thomas Seidl:
TACAM: Topic And Context Aware Argument Mining. WI 2019: 99-106 - Jiachen Geng, Yuanxi Li, Zili Zhang, Li Tao:
Sentinel Nodes Identification for Infectious Disease Surveillance on Temporal Social Networks. WI 2019: 493-499 - Raji Ghawi, Mirco Schönfeld, Jürgen Pfeffer:
Extracting Ego-Centric Social Networks from Linked Open Data. WI 2019: 471-477 - Eoin Martino Grua, Mark Hoogendoorn, Ivano Malavolta, Patricia Lago, A. E. Eiben:
CluStream-GT: Online Clustering for Personalization in the Health Domain. WI 2019: 270-275 - Ali el Hassouni, Mark Hoogendoorn, A. E. Eiben, Martijn van Otterlo, Vesa Muhonen:
End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning. WI 2019: 258-264 - Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman:
Reinforcement Learning for Personalized Dialogue Management. WI 2019: 59-67 - Mark Hoogendoorn, Ward van Breda, Jeroen Ruwaard:
GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care. WI 2019: 1-8
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