I. Katakis

发表

Multi-Label Classification: An Overview

Grigorios Tsoumakas, Ioannis Katakis, Grigorios Tsoumakas, 2007, Int. J. Data Warehous. Min..

Effective and Efficient Multilabel Classification in Domains with Large Number of Labels

Grigorios Tsoumakas, I. Katakis, I. Vlahavas, 2008 .

Multilabel Text Classification for Automated Tag Suggestion

Grigorios Tsoumakas, I. Katakis, I. Vlahavas, 2008 .

Argument Extraction from News

Vangelis Karkaletsis, Georgios Petasis, Christos Sardianos, 2015, ArgMining@HLT-NAACL.

Dynamic Feature Space and Incremental Feature Selection for the Classification of Textual Data Streams

Grigorios Tsoumakas, I. Katakis, I. Vlahavas, 2006 .

An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2008, ECAI.

Learning patterns for discovering domain-oriented opinion words

Dimitrios Gunopulos, Pantelis Agathangelou, Ioannis Katakis, 2017, Knowledge and Information Systems.

Incremental Clustering for the Classification of Concept-Drifting Data Streams

Grigorios Tsoumakas, I. Katakis, I. Vlahavas, 2008 .

DEMO : REMI , Reusable Elements for Multi-Level Information Availability

I. Katakis, A. Gal, D. Gunopulos, 2017 .

Mining Urban Data (Part C)

Katharina Morik, Dimitrios Gunopulos, Ioannis Katakis, 2017, Inf. Syst..

Foreword to the special issue on mining actionable insights from social networks

Ebrahim Bagheri, Ioannis Katakis, Faezeh Ensan, 2018, Information Systems.

Preface - Special Issue on Misinformation on the Web

Karl Aberer, Ioannis Katakis, Quoc Viet Hung Nguyen, 2022, Information Systems.

Ensemble Pruning Using Reinforcement Learning

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2006, SETN.

Special Issue on "Solving complex machine learning problems with ensemble methods"

Daniel Hernández-Lobato, Ioannis Partalas, Ioannis Katakis, 2015, Neurocomputing.

Detecting Events in Online Social Networks: Definitions, Trends and Challenges

Dimitrios Gunopulos, Ioannis Katakis, Nikolaos Panagiotou, 2016, Solving Large Scale Learning Tasks.

Mining Multi-label Data

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2010, Data Mining and Knowledge Discovery Handbook.

Effective Voting of Heterogeneous Classifiers

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2004, ECML.

Mining Twitter Data with Resource Constraints

George Valkanas, Dimitrios Gunopulos, Ioannis Katakis, 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Intelligent Urban Data Monitoring for Smart Cities

Dimitrios Gunopulos, Ioannis Katakis, Vana Kalogeraki, 2016, ECML/PKDD.

Random K-labelsets for Multilabel Classification

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2022 .

Real-Time and Cost-Effective Limitation of Misinformation Propagation

Dimitrios Gunopulos, Ioannis Katakis, Vana Kalogeraki, 2016, 2016 17th IEEE International Conference on Mobile Data Management (MDM).

Tracking recurring contexts using ensemble classifiers: an application to email filtering

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2009, Knowledge and Information Systems.

An adaptive personalized news dissemination system

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2009, Journal of Intelligent Information Systems.

Efficient and timely misinformation blocking under varying cost constraints

Dimitrios Gunopulos, Ioannis Katakis, Vana Kalogeraki, 2017, Online Soc. Networks Media.

On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Katakis, 2005, Panhellenic Conference on Informatics.

Language agnostic meme-filtering for hashtag-based social network analysis

Dimitrios Gunopulos, Ioannis Katakis, Dimitrios Kotsakos, 2015, Social Network Analysis and Mining.

On the Quantification of Missing Value Impact on Voting Advice Applications

Ioannis Katakis, Nicolas Tsapatsoulis, Marilena Agathokleous, 2013, EANN.

Automated Tagging for the Retrieval of Software Resources in Grid and Cloud Infrastructures

Marios D. Dikaiakos, George Pallis, Ioannis Katakis, 2012, 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012).

Ieee Transactions on Knowledge and Data Engineering Random K-labelsets for Multi-label Classification

Grigorios Tsoumakas, I. Katakis, I. Vlahavas, 2022 .

Hierarchical Partitioning of the Output Space in Multi-label Data pdf

Yannis Papanikolaou, Grigorios Tsoumakas, Ioannis Katakis, 2016, Data Knowl. Eng..

FlockAI: A Testing Suite for ML-Driven Drone Applications

I. Katakis, Demetris Trihinas, Michalis Agathocleous, 2021, Future Internet.

Multi-Label Classification: An Overview

Grigorios Tsoumakas, I. Katakis, 2007, Int. J. Data Warehous. Min..

Detection and Delineation of Events and Sub-Events in Social Networks

I. Katakis, D. Gunopulos, G. Valkanas, 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE).

Multi-Label Classification

Grigorios Tsoumakas, Ioannis Katakis, Grigorios Tsoumakas, 2009, Database Technologies: Concepts, Methodologies, Tools, and Applications.

Revealing the Hidden Links in Content Networks: An Application to Event Discovery

George Valkanas, Dimitrios Gunopulos, Ioannis Katakis, 2017, CIKM.

Mining hidden constrained streams in practice: Informed search in dynamic filter spaces

Dimitrios Gunopulos, Jia Yuan Yu, Ioannis Katakis, 2016, 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering

Grigorios Tsoumakas, Ioannis P. Vlahavas, Nick Bassiliades, 2006, OTM Conferences.

Social Voting Advice Applications—Definitions, Challenges, Datasets and Evaluation

Ioannis Katakis, Nicolas Tsapatsoulis, Constantinos Djouvas, 2014, IEEE Transactions on Cybernetics.

Multi-label Classification

Jesse Read, Albert Bifet, A. Bifet, 2014 .