Eleftherios Spyromitros Xioufis

Orcid: 0000-0001-9178-8603

According to our database1, Eleftherios Spyromitros Xioufis authored at least 28 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2020
Multi-target regression via output space quantization.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Information Theoretic Multi-Target Feature Selection via Output Space Quantization.
Entropy, 2019

Design and implementation of an open source Greek POS Tagger and Entity Recognizer using spaCy.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Multi-target feature selection through output space clustering.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
hackAIR: Towards Raising Awareness about Air Quality in Europe by Developing a Collective Online Platform.
ISPRS Int. J. Geo Inf., 2018

Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Twitter-Based Sensing of City-Level Air Quality.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Towards Improved Air Quality Monitoring Using Publicly Available Sky Images.
Proceedings of the Multimedia Tools and Applications for Environmental & Biodiversity Informatics, 2018

2017
Tunable Plug-In Rules with Reduced Posterior Certainty Loss in Imbalanced Datasets.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

2016
Τεχνικές μηχανικής μάθησης για πρόβλεψη πολλαπλών μεταβλητών
PhD thesis, 2016

Multi-target regression via input space expansion: treating targets as inputs.
Mach. Learn., 2016

Personalized Privacy-aware Image Classification.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Perceived Versus Actual Predictability of Personal Information in Social Networks.
Proceedings of the Internet Science - Third International Conference, 2016

2015
Toward an Automatic Evaluation of Retrieval Performance with Large Scale Image Collections.
Proceedings of the 2015 Workshop on Community-Organized Multimodal Mining: Opportunities for Novel Solutions, 2015

Improving Diversity in Image Search via Supervised Relevance Scoring.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

USEMP: Finding Diverse Images at MediaEval 2015.
Proceedings of the Working Notes Proceedings of the MediaEval 2015 Workshop, 2015

2014
A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval.
IEEE Trans. Multim., 2014

Multi-target Regression via Random Linear Target Combinations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

SocialSensor: Finding Diverse Images at MediaEval 2014.
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

2013
CERTH at MediaEval Placing Task 2013.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

SocialSensor: Finding Diverse Images at MediaEval 2013.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

2012
Multi-Label Classification Methods for Multi-Target Regression
CoRR, 2012

An empirical study on the combination of surf features with VLAD vectors for image search.
Proceedings of the 13th International Workshop on Image Analysis for Multimedia Interactive Services, 2012

2011
MULAN: A Java Library for Multi-Label Learning.
J. Mach. Learn. Res., 2011

Multi-label Learning Approaches for Music Instrument Recognition.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification.
Proceedings of the IJCAI 2011, 2011

MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks.
Proceedings of the CLEF 2011 Labs and Workshop, 2011

2008
An Empirical Study of Lazy Multilabel Classification Algorithms.
Proceedings of the Artificial Intelligence: Theories, 2008


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