67 citations · 151 across the 13 of their papers we have counts for
6 papers · 1 filter
BioCOMPASS: Integrating Biomarkers into Transformer-Based Immunotherapy Response Prediction
Sayed Hashim, Frank Soboczenski, Paul Cairns
Datasets used in immunotherapy response prediction are typically small in size, as well as diverse in cancer type, drug administered, and sequencer used. Models often drop in perfo…
IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics
Halil S. Kelebek, Linnea M. Wolniewicz, Michael D. Vergalla +8
The ionosphere is a critical component of near-Earth space, shaping GNSS accuracy, high-frequency communications, and aviation operations. For these reasons, accurate forecasting a…
Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers
Giacomo Acciarini, Simone Mestici, Halil Kelebek +7
The ionosphere critically influences Global Navigation Satellite Systems (GNSS), satellite communications, and Low Earth Orbit (LEO) operations, yet accurate prediction of its vari…
Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery
Odhran O'Donoghue, Paul Duckworth, Giuseppe Ughi +10
Human medical data can be challenging to obtain due to data privacy concerns, difficulties conducting certain types of experiments, or prohibitive associated costs. In many setting…
On Invariance Penalties for Risk Minimization
Kia Khezeli, Arno Blaas, Frank Soboczenski +2
The Invariant Risk Minimization (IRM) principle was first proposed by Arjovsky et al. [2019] to address the domain generalization problem by leveraging data heterogeneity from diff…
Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft
Athanasios Vlontzos, Gabriel Sutherland, Siddha Ganju +1
Future short or long-term space missions require a new generation of monitoring and diagnostic systems due to communication impasses as well as limitations in specialized crew and…