Search Results for author: Vasileios Iosifidis

Found 14 papers, 4 papers with code

Discrimination and Class Imbalance Aware Online Naive Bayes

no code implementations9 Nov 2022 Maryam Badar, Marco Fisichella, Vasileios Iosifidis, Wolfgang Nejdl

In this context, we propose a novel adaptation of Na\"ive Bayes to mitigate discrimination embedded in the streams while maintaining high predictive performance for both the majority and minority classes.

Decision Making Fairness

AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification

1 code implementation17 Sep 2022 Vasileios Iosifidis, Symeon Papadopoulos, Bodo Rosenhahn, Eirini Ntoutsi

Class imbalance poses a major challenge for machine learning as most supervised learning models might exhibit bias towards the majority class and under-perform in the minority class.

Classification imbalanced classification

Parity-based Cumulative Fairness-aware Boosting

no code implementations4 Jan 2022 Vasileios Iosifidis, Arjun Roy, Eirini Ntoutsi

Data-driven AI systems can lead to discrimination on the basis of protected attributes like gender or race.

Fairness

A survey on datasets for fairness-aware machine learning

1 code implementation1 Oct 2021 Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

For a deeper understanding of bias in the datasets, we investigate the interesting relationships using exploratory analysis.

Attribute BIG-bench Machine Learning +2

Online Fairness-Aware Learning with Imbalanced Data Streams

no code implementations13 Aug 2021 Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi

Data-driven learning algorithms are employed in many online applications, in which data become available over time, like network monitoring, stock price prediction, job applications, etc.

Fairness Stock Price Prediction +1

Multi-fairness under class-imbalance

no code implementations27 Apr 2021 Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi

Recent studies showed that datasets used in fairness-aware machine learning for multiple protected attributes (referred to as multi-discrimination hereafter) are often imbalanced.

Attribute Decision Making +1

LSTM Based Sentiment Analysis for Cryptocurrency Prediction

no code implementations27 Mar 2021 Xin Huang, Wenbin Zhang, Xuejiao Tang, Mingli Zhang, Jayachander Surbiryala, Vasileios Iosifidis, Zhen Liu, Ji Zhang

Recent studies in big data analytics and natural language processing develop automatic techniques in analyzing sentiment in the social media information.

Sentiment Analysis

A Data-driven Human Responsibility Management System

no code implementations6 Dec 2020 Xuejiao Tang, Jiong Qiu, Ruijun Chen, Wenbin Zhang, Vasileios Iosifidis, Zhen Liu, Wei Meng, Mingli Zhang, Ji Zhang

An ideal safe workplace is described as a place where staffs fulfill responsibilities in a well-organized order, potential hazardous events are being monitored in real-time, as well as the number of accidents and relevant damages are minimized.

Management

FairNN- Conjoint Learning of Fair Representations for Fair Decisions

1 code implementation5 Apr 2020 Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael YingYang, Eirini Ntoutsi, Bodo Rosenhahn

In this paper, we propose FairNN a neural network that performs joint feature representation and classification for fairness-aware learning.

Classification Decision Making +3

FAE: A Fairness-Aware Ensemble Framework

no code implementations3 Feb 2020 Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi

In the post-processing step, we tackle the problem of class overlapping by shifting the decision boundary in the direction of fairness.

BIG-bench Machine Learning Decision Making +1

AdaFair: Cumulative Fairness Adaptive Boosting

1 code implementation17 Sep 2019 Vasileios Iosifidis, Eirini Ntoutsi

The widespread use of ML-based decision making in domains with high societal impact such as recidivism, job hiring and loan credit has raised a lot of concerns regarding potential discrimination.

Attribute Decision Making +1

Fairness-enhancing interventions in stream classification

no code implementations16 Jul 2019 Vasileios Iosifidis, Thi Ngoc Han Tran, Eirini Ntoutsi

The wide spread usage of automated data-driven decision support systems has raised a lot of concerns regarding accountability and fairness of the employed models in the absence of human supervision.

Classification Fairness +1

Time-Aware and Corpus-Specific Entity Relatedness

no code implementations23 Oct 2018 Nilamadhaba Mohapatra, Vasileios Iosifidis, Asif Ekbal, Stefan Dietze, Pavlos Fafalios

Entity relatedness has emerged as an important feature in a plethora of applications such as information retrieval, entity recommendation and entity linking.

Entity Linking Information Retrieval +2

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