| 2023-08-31 |
IJCAI 2023
Macao, SAR |
Adversarial Attacks and Defenses in Explainable Artificial Intelligence: A Survey |
[slides]
[paper]
|
| 2023-06-13 |
AIME 2023
Portoroz, Slovenia |
Hospital Length of Stay Prediction Based on Multi-modal Data Towards Trustworthy Human-AI Collaboration in Radiomics |
[slides]
[paper]
|
| 2022-11-05 |
ML in PL 2022
Warsaw, Poland |
Interactive sequential analysis of a model improves the performance of human decision-making |
[slides]
[video]
[paper]
|
| 2022-09-21 |
ECML PKDD 2022
Grenoble, France |
Fooling Partial Dependence via Data Poisoning |
[slides]
[paper]
[poster]
|
| 2022-08-08 |
JSM 2022
Washington DC, USA |
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python |
[award]
[slides]
[abstract]
[paper]
|
| 2022-02-25 |
AAAI 2022
virtual |
Manipulating SHAP via Adversarial Data Perturbations |
[poster]
[paper]
[demo]
|
| 2021-11-06 |
ML in PL 2021
virtual |
Manipulating explainability and fairness in machine learning |
[slides]
|
| 2021-07-07 |
useR! 2021
virtual |
Introduction to Responsible Machine Learning |
[materials]
[video]
|
| 2021-07-05 |
useR! 2021
virtual |
Open the Machine Learning Black-Box with modelStudio & Arena |
[slides]
[video]
[demo]
|
| 2021-02-06 |
AAAI 2021
virtual |
Responsible Prediction Making of COVID-19 Mortality |
[poster]
[paper]
[demo]
|
| 2019-11-25 |
ML in PL 2019
Warsaw, Poland |
modelStudio: Interactive Studio with Explanations for ML Predictive Models |
[poster]
|