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11/09/2022
Discrimination and Class Imbalance Aware Online Naive Bayes
Fairness-aware mining of massive data streams is a growing and challengi...
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09/17/2022
AdaCC: Cumulative Cost-Sensitive Boosting for Imbalanced Classification
Class imbalance poses a major challenge for machine learning as most sup...
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01/04/2022
Parity-based Cumulative Fairness-aware Boosting
Data-driven AI systems can lead to discrimination on the basis of protec...
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10/01/2021
A survey on datasets for fairness-aware machine learning
As decision-making increasingly relies on machine learning and (big) dat...
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08/13/2021
Online Fairness-Aware Learning with Imbalanced Data Streams
Data-driven learning algorithms are employed in many online applications...
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04/27/2021
Multi-Fair Pareto Boosting
Fairness-aware machine learning for multiple protected at-tributes (refe...
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03/27/2021
LSTM Based Sentiment Analysis for Cryptocurrency Prediction
Recent studies in big data analytics and natural language processing dev...
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12/06/2020
A Data-driven Human Responsibility Management System
An ideal safe workplace is described as a place where staffs fulfill res...
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12/06/2020
Using Machine Learning to Automate Mammogram Images Analysis
Breast cancer is the second leading cause of cancer-related death after ...
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04/05/2020
FairNN- Conjoint Learning of Fair Representations for Fair Decisions
In this paper, we propose FairNN a neural network that performs joint fe...
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02/03/2020
FAE: A Fairness-Aware Ensemble Framework
Automated decision making based on big data and machine learning (ML) al...
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01/14/2020
Bias in Data-driven AI Systems – An Introductory Survey
AI-based systems are widely employed nowadays to make decisions that hav...
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09/17/2019
AdaFair: Cumulative Fairness Adaptive Boosting
The widespread use of ML-based decision making in domains with high soci...
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09/12/2019
Simple-ML: Towards a Framework for Semantic Data Analytics Workflows
In this paper we present the Simple-ML framework that we develop to supp...
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07/16/2019
Fairness-enhancing interventions in stream classification
The wide spread usage of automated data-driven decision support systems ...
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10/24/2018
Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives
How did the popularity of the Greek Prime Minister evolve in 2015? How d...
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10/23/2018
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets
Publicly available social media archives facilitate research in a variet...
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10/23/2018
