activity
20212026
most citedAnomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning

2 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2026

Evolving Executable Pipeline Programs for AutoML with Language Models

Sofoklis Kitharidis, Cor J. Veenman, Jan N. van Rijn +2

Automated machine learning (AutoML) systems search for pipelines within a space of preprocessing operators, learners, and hyper-parameters specified in advance: they can select and…

cs.LG2025

Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space

Sofoklis Kitharidis, Cor J. Veenman, Thomas Bäck +1

In the context of algorithmic decision-making, fair machine learning methods often yield multiple models that balance predictive fairness and performance in varying degrees. This d…

cs.AI2023

Gender mobility in the labor market with skills-based matching models

Ajaya Adhikari, Steven Vethman, Daan Vos +4

Skills-based matching promises mobility of workers between different sectors and occupations in the labor market. In this case, job seekers can look for jobs they do not yet have e…

cs.LG2023★ 2 cited

Anomalous NO2 emitting ship detection with TROPOMI satellite data and machine learning

Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek +1

Starting from 2021, more demanding emission restrictions were introduced for ships operating in the North and Baltic Sea waters. Since all methods currently us…

cs.LG2022

PERFEX: Classifier Performance Explanations for Trustworthy AI Systems

Erwin Walraven, Ajaya Adhikari, Cor J. Veenman

Explainability of a classification model is crucial when deployed in real-world decision support systems. Explanations make predictions actionable to the user and should inform abo…

cs.CV2022

Supervised segmentation of NO2 plumes from individual ships using TROPOMI satellite data

Solomiia Kurchaba, Jasper van Vliet, Fons J. Verbeek +2

The shipping industry is one of the strongest anthropogenic emitters of -- substance harmful both to human health and the environment. The rapid growth of the…

cs.LG2022

Context-Aware Discrimination Detection in Job Vacancies using Computational Language Models

S. Vethman, A. Adhikari, M. H. T. de Boer +2

Discriminatory job vacancies are disapproved worldwide, but remain persistent. Discrimination in job vacancies can be explicit by directly referring to demographic memberships of c…

cs.LG2021

Fair Tree Classifier using Strong Demographic Parity

António Pereira Barata, Frank W. Takes, H. Jaap van den Herik +1

When dealing with sensitive data in automated data-driven decision-making, an important concern is to learn predictors with high performance towards a class label, whilst minimisin…