Partial Order Preserving Encryption Search Trees. - Kyriakos Ispoglou; Christos Makris 001; Yannis C. Stamatiou; Elias C. Stavropoulos; Athanasios K. Tsakalidis; Vasileios Iosifidis (DEXA (2), 2015)

Compressing Inverted Files using Modified LZW. - Vasileios Iosifidis; Christos Makris 001 (WEBIST (1), 2016)

Multi-aspect Entity-Centric Analysis of Big Social Media Archives. - Pavlos Fafalios; Vasileios Iosifidis; Kostas Stefanidis; Eirini Ntoutsi (TPDL, 2017)

Sentiment Classification over Opinionated Data Streams Through Informed Model Adaptation. - Vasileios Iosifidis; Annina Oelschlager; Eirini Ntoutsi (TPDL, 2017)

Large Scale Sentiment Learning with Limited Labels. - Vasileios Iosifidis; Eirini Ntoutsi (KDD, 2017)

TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets. - Pavlos Fafalios; Vasileios Iosifidis; Eirini Ntoutsi; Stefan Dietze (ESWC, 2018)

Time-Aware and Corpus-Specific Entity Relatedness. - Nilamadhaba Mohapatra; Vasileios Iosifidis; Asif Ekbal; Stefan Dietze; Pavlos Fafalios (DL4KGS@ESWC, 2018)

Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams. - Damianos P. Melidis; Alvaro Veizaga Campero; Vasileios Iosifidis; Eirini Ntoutsi; Myra Spiliopoulou (WIMS, 2018)

FAE: A Fairness-Aware Ensemble Framework. - Vasileios Iosifidis; Besnik Fetahu; Eirini Ntoutsi (IEEE BigData, 2019)

AdaFair: Cumulative Fairness Adaptive Boosting. - Vasileios Iosifidis; Eirini Ntoutsi (CIKM, 2019)

Fairness-Enhancing Interventions in Stream Classification. - Vasileios Iosifidis; Thi Ngoc Han Tran; Eirini Ntoutsi (DEXA (1), 2019)

Simple-ML: Towards a Framework for Semantic Data Analytics Workflows. - Simon Gottschalk 001; Nicolas Tempelmeier; Günter Kniesel; Vasileios Iosifidis; Besnik Fetahu; Elena Demidova (SEMANTiCS, 2019)

Using Machine Learning to Automate Mammogram Images Analysis. - Xuejiao Tang; Liuhua Zhang; Wenbin Zhang 002; Xin Huang 005; Vasileios Iosifidis; Zhen Liu 017; Mingli Zhang; Enza Messina; Ji Zhang 001 (BIBM, 2020)

A Data-driven Human Responsibility Management System. - Xuejiao Tang; Jiong Qiu; Ruijun Chen; Wenbin Zhang 002; Vasileios Iosifidis; Zhen Liu 017; Wei Meng; Mingli Zhang; Ji Zhang 001 (IEEE BigData, 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 (DS, 2020)

FABBOO - Online Fairness-Aware Learning Under Class Imbalance. - Vasileios Iosifidis; Eirini Ntoutsi (DS, 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; et al. (CoRR, 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)

Sentiment analysis on big sparse data streams with limited labels. - Vasileios Iosifidis; Eirini Ntoutsi (Knowl. Inf. Syst., 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; et al. (WIREs Data Mining Knowl. Discov., 2020)

Semi-supervised learning and fairness-aware learning under class imbalance. - Vasileios Iosifidis (2020)

Über Diskriminierung durch Künstliche Intelligenz. - Vasileios Iosifidis (Ausgezeichnete Informatikdissertationen, 2020)

LSTM Based Sentiment Analysis for Cryptocurrency Prediction. - Xin Huang 005; Wenbin Zhang 002; Xuejiao Tang; Mingli Zhang; Jayachander Surbiryala; Vasileios Iosifidis; Zhen Liu 017; Ji Zhang 001 (DASFAA (3), 2021)

LSTM Based Sentiment Analysis for Cryptocurrency Prediction. - Xin Huang 005; Wenbin Zhang 002; Yiyi Huang; Xuejiao Tang; Mingli Zhang; Jayachander Surbiryala; Vasileios Iosifidis; Zhen Liu 017; Ji Zhang 001 (CoRR, 2021)

Multi-Fair Pareto Boosting. - Arjun Roy 001; Vasileios Iosifidis; Eirini Ntoutsi (CoRR, 2021)

Online Fairness-Aware Learning with Imbalanced Data Streams. - Vasileios Iosifidis; Wenbin Zhang 002; Eirini Ntoutsi (CoRR, 2021)

A survey on datasets for fairness-aware machine learning. - Tai Le Quy; Arjun Roy 001; Vasileios Iosifidis; Eirini Ntoutsi (CoRR, 2021)

Multi-fairness Under Class-Imbalance. - Arjun Roy 001; Vasileios Iosifidis; Eirini Ntoutsi (DS, 2022)

Discrimination and Class Imbalance Aware Online Naive Bayes. - Maryam Badar; Marco Fisichella; Vasileios Iosifidis; Wolfgang Nejdl (CoRR, 2022)

Parity-based cumulative fairness-aware boosting. - Vasileios Iosifidis; Arjun Roy 001; Eirini Ntoutsi (Knowl. Inf. Syst., 2022)

A survey on datasets for fairness-aware machine learning. - Tai Le Quy; Arjun Roy 001; Vasileios Iosifidis; Wenbin Zhang 002; Eirini Ntoutsi (WIREs Data Mining Knowl. Discov., 2022)

AdaCC: cumulative cost-sensitive boosting for imbalanced classification. - Vasileios Iosifidis; Symeon Papadopoulos; Bodo Rosenhahn; Eirini Ntoutsi (Knowl. Inf. Syst., 2023)