Ioannis Katakis

According to our database1, Ioannis Katakis authored at least 42 papers between 2004 and 2020.

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In proceedings 
PhD thesis 


Online presence:



A Multi-Factor Analysis of Forecasting Methods: A Study on the M4 Competition.
Data, 2020

A hybrid deep learning network for modelling opinionated content.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Learning patterns for discovering domain-oriented opinion words.
Knowl. Inf. Syst., 2018

Foreword to the special issue on mining actionable insights from social networks.
Inf. Syst., 2018

Hierarchical partitioning of the output space in multi-label data.
Data Knowl. Eng., 2018

Detection and Delineation of Events and Sub-Events in Social Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Efficient and timely misinformation blocking under varying cost constraints.
Online Soc. Networks Media, 2017

Mining Urban Data (Part C).
Inf. Syst., 2017

Understanding Online Political Networks: The Case of the Far-Right and Far-Left in Greece.
Proceedings of the Social Informatics, 2017

REMI, Reusable Elements for Multi-Level Information Availability: Demo.
Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems, 2017

Revealing the Hidden Links in Content Networks: An Application to Event Discovery.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Mining Urban Data (Part B).
Inf. Syst., 2016

Intelligent Urban Data Monitoring for Smart Cities.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Real-Time and Cost-Effective Limitation of Misinformation Propagation.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Detecting Events in Online Social Networks: Definitions, Trends and Challenges.
Proceedings of the Solving Large Scale Learning Tasks. Challenges and Algorithms, 2016

Mining hidden constrained streams in practice: Informed search in dynamic filter spaces.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Language agnostic meme-filtering for hashtag-based social network analysis.
Soc. Netw. Anal. Min., 2015

Mining urban data (part A).
Inf. Syst., 2015

Special Issue on "Solving complex machine learning problems with ensemble methods".
Neurocomputing, 2015

Anima: Adaptive Personalized Software Keyboard.
CoRR, 2015

Towards Detection of Faulty Traffic Sensors in Real-Time.
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

2nd International Workshop on Mining Urban Data (Preface).
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), 2015

Social Voting Advice Applications - Definitions, Challenges, Datasets and Evaluation.
IEEE Trans. Cybern., 2014

Mining Domain-Specific Dictionaries of Opinion Words.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Mining Twitter Data with Resource Constraints.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

#tag: Meme or event?
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

On the Quantification of Missing Value Impact on Voting Advice Applications.
Proceedings of the Engineering Applications of Neural Networks, 2013

Clustering Online Poll Data: Towards a Voting Assistance System.
Proceedings of the Seventh International Workshop on Semantic and Social Media Adaptation and Personalization, 2012

Automated Tagging for the Retrieval of Software Resources in Grid and Cloud Infrastructures.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

Random k-Labelsets for Multilabel Classification.
IEEE Trans. Knowl. Data Eng., 2011

Mining Multi-label Data.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

Tracking recurring contexts using ensemble classifiers: an application to email filtering.
Knowl. Inf. Syst., 2010

An adaptive personalized news dissemination system.
J. Intell. Inf. Syst., 2009

On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Multi-Label Classification.
Proceedings of the Database Technologies: Concepts, 2009

An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams.
Proceedings of the ECAI 2008, 2008

Multi-Label Classification: An Overview.
Int. J. Data Warehous. Min., 2007

Ensemble Pruning Using Reinforcement Learning.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering.
Proceedings of the On the Move to Meaningful Internet Systems 2006: CoopIS, 2006

On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams.
Proceedings of the Advances in Informatics, 2005

Effective Voting of Heterogeneous Classifiers.
Proceedings of the Machine Learning: ECML 2004, 2004