Javier Pastorino

According to our database, Javier Pastorino authored at least 5 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2022

Data adequacy bias impact in a data-blinded semi-supervised GAN for privacy-aware COVID-19 chest X-ray classification.

Javier Pastorino, Ashis Kumer Biswas

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Determination of optimal set of spatio-temporal features for predicting burn probability in the state of California, USA.

Javier Pastorino, Joseph W. Director, Ashis Kumer Biswas, Todd J. Hawbaker

Proceedings of the ACM SE '22: 2022 ACM Southeast Conference, Virtual Event, April 18, 2022

2021

Data-Blind ML: Building privacy-aware machine learning models without direct data access.

Javier Pastorino, Ashis Kumer Biswas

Proceedings of the Fourth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2021

2020

Hey ML, what can you do for me?

Javier Pastorino, Ashis Kumer Biswas

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2020

2019

TexAnASD: Text Analytics for ASD Risk Gene Predictions.

Javier Pastorino, Ashis Kumer Biswas

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019