activity
20182023
most citedAdversarial Patch Camouflage against Aerial Detection

7 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

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.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.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.CV2020★ 7 cited

Adversarial Patch Camouflage against Aerial Detection

Ajaya Adhikari, Richard den Hollander, Ioannis Tolios +9

Detection of military assets on the ground can be performed by applying deep learning-based object detectors on drone surveillance footage. The traditional way of hiding military a…

cs.AI2018★ 3 cited

LEAFAGE: Example-based and Feature importance-based Explanationsfor Black-box ML models

Ajaya Adhikari, D. M. J Tax, Riccardo Satta +1

As machine learning models become more accurate, they typically become more complex and uninterpretable by humans. The black-box character of these models holds back its acceptance…