Adrianna Janik
Orcid: 0000-0002-4387-4563
According to our database1,
Adrianna Janik
authored at least 14 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2016
2017
2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
6
7
2
1
4
1
2
2
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph embeddings.
Expert Syst. Appl., January, 2024
CoRR, 2024
2023
Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer.
J. Biomed. Informatics, August, 2023
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient.
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples.
CoRR, 2022
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients.
CoRR, 2022
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data.
CoRR, 2022
Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization.
CoRR, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients.
Proceedings of the AMIA 2022, 2022
2021
Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2019
Proceedings of the 2nd Workshop on Machine Learning Methods in Visualisation for Big Data, 2019
2016
Estimation of Travel Time in the City Based on Intelligent Transportation System Traffic Data with the Use of Neural Networks.
Proceedings of the Dependability Engineering and Complex Systems, 2016