Fairness-Aware Machine Learning

Data Stream Mining

Semi-Supervised Learning

Data Augmentation

Ensemble Learning

T.A, Seminar: Data Mining, Leibniz University of Hannover

T.A, Data Mining 1, Leibniz University of Hannover

T.A, Data Mining 2, Leibniz University of Hannover

T.A, Artificial Intelligence, Leibniz University of Hannover

T.A, Seminar: Advanced Topics in Data Mining, Leibniz University of Hannover

Researcher, Computer Technology Institute

T.A., JAVA/C++ LAB, University of Patras

T.A., ANSI C LAB, University of Patras

Python Tutor, University of Patras

Intern Software Engineer, SAMSUNG NANORADIO

Intern IT, HELLENIC PETROLEUM GROUP OF COMPANIES

Ph.D. in Machine Learning

M.Sc. in Software Engineering

Thesis title: A Fully Persistent Encryption Binary Tree For Range Queries

Diploma (M.Sc.) in Computer Engineering

Thesis title: Compressing Inverted Files using Modified LZW

Java

Python

C/C++

Matlab

Linux OS

Apache Hadoop

Apache Spark

Apache Storm

MySql

NOSQL(MONGO/REDIS/KAIROS/INFLUX)

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, [link]

Neural Networks and Deep Learning, [link]

Structuring Machine Learning Projects, [link]

Discrimination-Aware Learning in Data Streams

Generator for Discriminatory Streams

Sentiment Analysis with Deep Learning

Lexicon-based Approaches for Sentiment Analysis in Twitter

V. Iosifidis, B. Fetahu, E. Ntoutsi, "FAE: A Fairness-Aware Ensemble Framework", IEEE International Conference on Big Data (IEEE BigData 2019) (to appear).

V. Iosifidis, E. Ntoutsi, "AdaFair: Cumulative Fairness Adaptive Boosting", ACM International Conference on Information and Knowledge Management (CIKM 2019) (to appear).

V. Iosifidis, E. Ntoutsi, "Sentiment Analysis on Big Sparse Data Streams with Limited Labels", Knowledge and Information Systems (KAIS) journal. [local copy][bib]

V. Iosifidis, H. Tran, E. Ntoutsi, ``Fairness-enhancing interventions in stream classification'', 30th International Conference on Databases and Expert Systems Applications (DEXA19), accepted. [arxiv]

P. Fafalios, V. Iosifidis, K. Stefanidis, E. Ntoutsi, "Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives.", Springer International Journal on Digital Libraries (IJDL). [local copy] [bib]

D. Melidis, A. Veizaga Campero, V. Iosifidis, E. Ntoutsi, M. Spiliopoulou, "Enriching Lexicons with Ephemeral Words for Sentiment Analysis in Social Streams", WIMS 2018. [local copy]

V. Iosifidis, E. Ntoutsi, "Dealing with Bias via Data Augmentation in Supervised Learning Scenarios", BIAS workshop in conjunction with iConference 2018. [local copy]

P. Fafalios, V. Iosifidis, E. Ntoutsi, S. Dietze, "TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets", ESWC, 2018.

Mohapatra, N., Iosifidis, V., Ekbal, A., Dietze, S., & Fafalios, P. " Time-aware and corpus-specific entity relatedness", ESWC, 2018. [arxiv]

V. Iosifidis, E. Ntoutsi, "Large scale sentiment annotation with limited labels",KDD, Halifax, Canada, 2017.[local copy][bib]

V. Iosifidis, E. Ntoutsi, "Sentiment Classification over Opinionated Data Streams through Informed Model Adaptation",TPDL, Thessaloniki, Greece, 2017.[local copy]

P. Fafalios, V. Iosifidis, K. Stefanidis, E. Ntoutsi, "Multi-aspect Entity-centric Analysis of Big Social Media Archives", TPDL, Thessaloniki, Greece, 2017.[local copy]

V. Iosifidis, and C. Makris, "Compressing Inverted Files using Modified LZW." WEBIST 2016.

Ispoglou, K., Makris, C., Stamatiou, Y. C., Stavropoulos, E. C., Tsakalidis, A. K., & Iosifidis, V., "Partial order preserving encryption search trees" In Database and Expert Systems Applications (pp. 49-56). Springer, Cham.