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09/21/2023
Regionally Additive Models: Explainable-by-design models minimizing feature interactions
Generalized Additive Models (GAMs) are widely used explainable-by-design...
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09/20/2023
RHALE: Robust and Heterogeneity-aware Accumulated Local Effects
Accumulated Local Effects (ALE) is a widely-used explainability method f...
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06/02/2023
Affinity Clustering Framework for Data Debiasing Using Pairwise Distribution Discrepancy
Group imbalance, resulting from inadequate or unrepresentative data coll...
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02/12/2023
Multi-dimensional discrimination in Law and Machine Learning – A comparative overview
AI-driven decision-making can lead to discrimination against certain ind...
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02/11/2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples
The importance of neighborhood construction in local explanation methods...
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01/09/2023
A review of clustering models in educational data science towards fairness-aware learning
Ensuring fairness is essential for every education system. Machine learn...
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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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09/07/2022
Power of Explanations: Towards automatic debiasing in hate speech detection
Hate speech detection is a common downstream application of natural lang...
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08/22/2022
Evaluation of group fairness measures in student performance prediction problems
Predicting students' academic performance is one of the key tasks of edu...
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06/23/2022
Context matters for fairness – a case study on the effect of spatial distribution shifts
With the ever growing involvement of data-driven AI-based decision makin...
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06/20/2022
Multiple Fairness and Cardinality constraints for Students-Topics Grouping Problem
Group work is a prevalent activity in educational settings, where studen...
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06/16/2022
Learning to Teach Fairness-aware Deep Multi-task Learning
Fairness-aware learning mainly focuses on single task learning (STL). Th...
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04/17/2022
Attention Mechanism based Cognition-level Scene Understanding
Given a question-image input, the Visual Commonsense Reasoning (VCR) mod...
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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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09/30/2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation
The importance of the neighborhood for training a local surrogate model ...
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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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08/06/2021
Interpretable Visual Understanding with Cognitive Attention Network
While image understanding on recognition-level has achieved remarkable a...
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07/16/2021
A Survey on Bias in Visual Datasets
Computer Vision (CV) has achieved remarkable results, outperforming huma...
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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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04/25/2021
Fair-Capacitated Clustering
Traditionally, clustering algorithms focus on partitioning the data into...
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04/12/2021
Consequence-aware Sequential Counterfactual Generation
Counterfactuals have become a popular technique nowadays for interacting...
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12/29/2020
Drift-Aware Multi-Memory Model for Imbalanced Data Streams
Online class imbalance learning deals with data streams that are affecte...
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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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07/16/2019
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
Automated data-driven decision-making systems are ubiquitous across a wi...
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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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09/03/2015