Vasileios Iosifidis

According to our database, Vasileios Iosifidis authored at least 32 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

AdaCC: cumulative cost-sensitive boosting for imbalanced classification.

Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi

Knowl. Inf. Syst., February, 2023

2022

A survey on datasets for fairness-aware machine learning.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

WIREs Data Mining Knowl. Discov., 2022

Parity-based cumulative fairness-aware boosting.

Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi

Knowl. Inf. Syst., 2022

Discrimination and Class Imbalance Aware Online Naive Bayes.

Maryam Badar, Marco Fisichella, Vasileios Iosifidis, Wolfgang Nejdl

CoRR, 2022

Multi-fairness Under Class-Imbalance.

Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

A survey on datasets for fairness-aware machine learning.

Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

CoRR, 2021

Online Fairness-Aware Learning with Imbalanced Data Streams.

Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

CoRR, 2021

Multi-Fair Pareto Boosting.

Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

CoRR, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.

Xin Huang, Wenbin Zhang, Yiyi Huang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang

CoRR, 2021

LSTM Based Sentiment Analysis for Cryptocurrency Prediction.

Xin Huang, Wenbin Zhang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Über Diskriminierung durch Künstliche Intelligenz.

Vasileios Iosifidis

Proceedings of the Ausgezeichnete Informatikdissertationen 2020., 2020

Semi-supervised learning and fairness-aware learning under class imbalance.

Vasileios Iosifidis

PhD thesis, 2020

Bias in data-driven artificial intelligence systems - An introductory survey.

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

WIREs Data Mining Knowl. Discov., 2020

Sentiment analysis on big sparse data streams with limited labels.

Vasileios Iosifidis, Eirini Ntoutsi

Knowl. Inf. Syst., 2020

Tracking the history and evolution of entities: entity-centric temporal analysis of large social media archives.

Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi

Int. J. Digit. Libr., 2020

Bias in Data-driven AI Systems - An Introductory Survey.

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju, Vasileios Iosifidis, Wolfgang Nejdl, Maria-Esther Vidal, Salvatore Ruggieri, Franco Turini, Symeon Papadopoulos, Emmanouil Krasanakis, Ioannis Kompatsiaris, Katharina Kinder-Kurlanda, Claudia Wagner, Fariba Karimi, Miriam Fernández, Harith Alani, Bettina Berendt, Tina Kruegel, Christian Heinze, Klaus Broelemann, Gjergji Kasneci, Thanassis Tiropanis, Steffen Staab

CoRR, 2020

FABBOO - Online Fairness-Aware Learning Under Class Imbalance.

Vasileios Iosifidis, Eirini Ntoutsi

Proceedings of the Discovery Science - 23rd International Conference, 2020

FairNN - Conjoint Learning of Fair Representations for Fair Decisions.

Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn

Proceedings of the Discovery Science - 23rd International Conference, 2020

A Data-driven Human Responsibility Management System.

Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Using Machine Learning to Automate Mammogram Images Analysis.

Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Simple-ML: Towards a Framework for Semantic Data Analytics Workflows.

Simon Gottschalk, Nicolas Tempelmeier, Günter Kniesel, Vasileios Iosifidis, Besnik Fetahu, Elena Demidova

Proceedings of the Semantic Systems. The Power of AI and Knowledge Graphs, 2019

Fairness-Enhancing Interventions in Stream Classification.

Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi

Proceedings of the Database and Expert Systems Applications, 2019

AdaFair: Cumulative Fairness Adaptive Boosting.

Vasileios Iosifidis, Eirini Ntoutsi

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

FAE: A Fairness-Aware Ensemble Framework.

Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams.

Damianos P. Melidis, Alvaro Veizaga Campero, Vasileios Iosifidis, Eirini Ntoutsi, Myra Spiliopoulou

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Time-Aware and Corpus-Specific Entity Relatedness.

Nilamadhaba Mohapatra, Vasileios Iosifidis, Asif Ekbal, Stefan Dietze, Pavlos Fafalios

Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), 2018

TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets.

Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi, Stefan Dietze

Proceedings of the Semantic Web - 15th International Conference, 2018

2017

Large Scale Sentiment Learning with Limited Labels.

Vasileios Iosifidis, Eirini Ntoutsi

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Sentiment Classification over Opinionated Data Streams Through Informed Model Adaptation.

Vasileios Iosifidis, Annina Oelschlager, Eirini Ntoutsi

Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

Multi-aspect Entity-Centric Analysis of Big Social Media Archives.

Pavlos Fafalios, Vasileios Iosifidis, Kostas Stefanidis, Eirini Ntoutsi

Proceedings of the Research and Advanced Technology for Digital Libraries, 2017

2016

Compressing Inverted Files using Modified LZW.

Vasileios Iosifidis, Christos Makris

Proceedings of the 12th International Conference on Web Information Systems and Technologies, 2016

2015

Partial Order Preserving Encryption Search Trees.

Kyriakos Ispoglou, Christos Makris, Yannis C. Stamatiou, Elias C. Stavropoulos, Athanasios K. Tsakalidis, Vasileios Iosifidis

Proceedings of the Database and Expert Systems Applications, 2015