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ORCID27th CIKM 2018: Torino, Italy - Workshops
- Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, October 22, 2018. CEUR Workshop Proceedings 2482, CEUR-WS.org 2019 - Alfredo Cuzzocrea, Francesco Bonchi, Dimitrios Gunopulos:
CIKM 2018 Workshops: Preface.
12th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBio 2018)
- Puspa Pratiwi, Yue Xu, Yuefeng Li, Stewart G. Trost, Kelly M. Clanchy, Dian Tjondronegoro:
User Profile Ontology to Support Personalisation for E-Coaching Systems. - Aris Anagnostopoulos, Fabio Angeletti, Federico Arcangeli, Chris Schwiegelshohn, Andrea Vitaletti:
Random Projection to Preserve Patient Privacy. - Maristella Agosti, Giorgio Maria Di Nunzio, Stefano Marchesin, Gianmaria Silvello:
A Relation Extraction Approach for Clinical Decision Support. - Anna Bernasconi:
Using Metadata for Locating Genomic Datasets on a Global Scale.
1st International Workshop on EntitY REtrieval (EYRE 2018)
- Takahiro Komamizu:
Graph Analytical Re-Ranking for Entity Search. - Shahrzad Naseri, John Foley, James Allan, Brendan T. O'Connor:
Exploring Summary-Expanded Entity Embeddings for Entity Retrieval. - Yongjae Lee, Seungwon Shin:
Toward Semantic Assessment of Vulnerability Severity: A Text Mining Approach. - Emanuel Lacic, Dominik Kowald, Elisabeth Lex:
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations.
6th International Workshop on News Recommendation and Analytics (INRA 2018)
- Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Martha A. Larson, Andreas Lommatzsch:
6th International Workshop on News Recommendation and Analytics (INRA 2018). - Jianan Yao, Alexander G. Hauptmann:
News Recommendation and Filter Bubble. - Roshni Chakraborty, Abhijeet Kharat, Apalak Khatua, Sourav Kumar Dandapat, Joydeep Chandra:
Predicting Tomorrow's Headline using Twitter Deliberations. - Sora Lim, Adam Jatowt
, Masatoshi Yoshikawa:
Understanding Characteristics of Biased Sentences in News Articles. - Benjamin Kille, Özlem Özgöbek, Andreas Lommatzsch:
Defining Contextual Factors for News Consumption. - Ville Ollikainen:
Clustering Enhancement for a Token-Based Recommender. - Dhruv Khattar, Vaibhav Kumar, Shashank Gupta, Manish Gupta, Vasudeva Varma:
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators. - Eddy Maddalena, Davide Ceolin, Stefano Mizzaro:
Multidimensional News Quality: A Comparison of Crowdsourcing and Nichesourcing.
International Workshop on Knowledge-Driven Analytics Impacting Human Quality of Life (KDAH 2018)
- Leandro Marín:
Data Security and Privacy on Intelligent Environments. - Alfredo Cuzzocrea:
Supporting OLAP-Based Big Data Analytics over Data-Intensive Business Processes: Issues, Models, Proposals, and a Real-Life Framework. - Ruggero G. Pensa:
Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach. - Cristina Gena:
Kids Computer Interaction with a Focus on Story Telling and Educational Robotics. - Kuldeep Reddy:
Generating Rule Suggestions in PBE Data Transformations. - Arijit Ukil, Leandro Marín Muñoz, Antonio Jara, John R. Farserotu:
Knowledge-Driven Analytics and Sensor Signal Processing in Human-Centric Applications. - Irem Islek, Sule Gündüz Ögüdücü:
Use of LSTM for Short-Term and Long-Term Travel Time Prediction. - Wayne Xin Zhao, Gaole He, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen:
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems. - Tu Nguyen, Markus Rokicki:
On the Predictability of Non-CGM Diabetes Data for Personalized Recommendation. - Andrea Masciadri, Fabio Veronese, Sara Comai, Ilaria Carlini, Fabio Salice:
Disseminating Synthetic Smart Home Data for Advanced Applications. - Arijit Ukil, Leandro Marín, Antonio Jara, John R. Farserotu:
Knowledge-Driven Analytics Impacting Human Quality Of Life.
International Workshop on Legal DAta Mining (LeDAM 2018)
- Arindam Pal, Arnab Bhattacharya, Indrajit Bhattacharya, Kripabandhu Ghosh, Lipika Dey, Marie-Francine Moens, Saptarshi Ghosh:
International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings. - Arunprasath Shankar, Venkata Nagaraju Buddarapu:
Deep Ensemble Learning for Legal Query Understanding. - Frieda Josi, Christian Wartena:
Structural Analysis of Contract Renewals. - Marijn Schraagen, Daphne Odekerken, Bas Testerink, Floris Bex:
Argumentation-Driven Information Extraction for Online Crime Reports. - Sabine Wehnert, David Broneske, Stefan Langer, Gunter Saake:
Concept Hierarchy Extraction from Legal Literature. - Noushin Fadaei, Thomas Mandl:
Use of Pseudo Relevance Feedback for Patent Clustering with Fuzzy CMeans.
2nd International Workshop on Rumours and Deception in Social Media (RDSM 2018)
- Ahmet Aker, Arkaitz Zubiaga, Kalina Bontcheva, Maria Liakata, Rob Procter:
2nd International Workshop on Rumours and Deception in Social Media: Preface. - Andreas Vlachos:
Automated Fact Checking. - Endang Wahyu Pamungkas, Valerio Basile, Viviana Patti:
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure. - Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Damiano Spina:
How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing. - Kirill Skorniakov, Denis Turdakov, Andrey Zhabotinsky:
Make Social Networks Clean Again: Graph Embedding and Stacking Classifiers for Bot Detection. - Costanza Conforti, Mohammad Taher Pilehvar, Nigel Collier:
Modeling the Fake News Challenge as a Cross-Level Stance Detection Task. - Grace Hui Yang, Yue Yu:
Use of Interpersonal Deception Theory in Counter Social Engineering. - Josemar Alves Caetano, Gabriel Magno, Evandro Cunha, Wagner Meira Jr., Humberto Torres Marques-Neto, Virgílio A. F. Almeida:
Characterizing the Public Perception of WhatsApp through the Lens of Media. - Danielle Caled, Mário J. Silva:
FTR-18: Collecting Rumours on Football Transfer News.
International Workshop on Social Interaction-based Recommendation (SIR 2018)
- Ludovico Boratto, Stefano Faralli, Christian Morbidoni, Gabriella Pasi, Giovanni Stilo:
Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018). - Valentino Servizi, Sokol Kosta, Allan Hammershøj, Henning Olesen:
A User Experience Model for Privacy and Context Aware Over-the-Top (OTT) TV Recommendations. - Dominik Kowald, Emanuel Lacic, Dieter Theiler, Elisabeth Lex:
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments. - Fedelucio Narducci, Pierpaolo Basile, Andrea Iovine, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro:
A Framework for Building Chat-based Recommender Systems. - Cheng-Te Li, Yi-Chun Chen:
Query Embedding Learning for Context-based Social Search. - Reza Khoshkangini, Maria Silvia Pini, Francesca Rossi, Dinh Tran-Van:
Constructing CP-Nets from Users Past Behaviors. - Brooke Auxier, Jennifer Golbeck:
The Challenge of Personal Attribute Preferences in Recommending Diverse, Reliable News Sources. - Luca Benedetto, Paolo Cremonesi, Manuel Parenti:
A Virtual Teaching Assistant for Personalized Learning. - Moin Nadeem, Dustin Stansbury, Shane Mooney:
Neural Educational Recommendation Engine (NERE). - Sujoy Chatterjee:
A Crowd-powered Model for Identifying Negative Citations.
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