Adrianna Janik

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Interactive Visualization

Graph Embedding

Top Venues

DepCoS-RELCOMEX

Publications

Samuele Buosi, Mohan Timilsina, Adrianna Janik, Luca Costabello, Maria Torrente, Mariano Provencio, Dirk Fey, Vít Novácek
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. 235 (2024)
Matthew Wicker, Philip Sosnin, Adrianna Janik, Mark N. Müller, Adrian Weller, Calvin Tsay
Certificates of Differential Privacy and Unlearning for Gradient-Based Training. CoRR (2024)
Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. IJCNN (2023)
Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Pasquale Minervini, Maria Torrente, Mariano Provencio, Vít Novácek
Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. J. Biomed. Informatics 144 (2023)
Sumit Pai, Fiona Brennan, Adrianna Janik, Teutly Correia, Luca Costabello
Unsupervised Customer Segmentation with Knowledge Graph Embeddings. WWW (Companion Volume) (2022)
Adrianna Janik, Maria Torrente, Luca Costabello, Virginia Calvo, Brian Walsh, Carlos Camps, Sameh K. Mohamed, Ana L. Ortega, Vít Novácek, Bartomeu Massutí, Pasquale Minervini, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Ernestina Menasalvas, Mohan Timilsina, Mariano Provencio
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. CoRR (2022)
Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Maria Guirado, Pasquale Minervini, Vít Novácek
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. AMIA (2022)
Adrianna Janik, Kris Sankaran
Sampling Strategy for Fine-Tuning Segmentation Models to Crisis Area under Scarcity of Data. CoRR (2022)
Adrianna Janik, Kris Sankaran
Discovering Concepts in Learned Representations using Statistical Inference and Interactive Visualization. CoRR (2022)
Adrianna Janik, Luca Costabello
Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples. CoRR (2022)
Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
Interpretability of a Deep Learning Model in the Application of Cardiac MRI Segmentation with an ACDC Challenge Dataset. CoRR (2021)
Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA (2021)
Adrianna Janik, Jonathan Dodd, Georgiana Ifrim, Kris Sankaran, Kathleen M. Curran
Interpretability of a deep learning model in the application of cardiac MRI segmentation with an ACDC challenge dataset. Medical Imaging: Image Processing (2021)
Adrianna Janik, Kris Sankaran, Anthony Ortiz
Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications. MLVis@EuroVis (2019)
Piotr Ciskowski, Adrianna Janik, Marek Bazan, Krzysztof Halawa, Tomasz Janiczek, Andrzej Rusiecki
Estimation of Travel Time in the City Based on Intelligent Transportation System Traffic Data with the Use of Neural Networks. DepCoS-RELCOMEX (2016)