Bayesian Machine Learning with Uncertainty Quantification for Detecting Weeds in Crop Lands from Low Altitude Remote Sensing

Predicting geomagnetic conditions on the Earth from multi-spectral images of the Sun by combining data science and physical models

Tracing 3-D high latitude environmental change with billions of remotely sensed points

Online Learning and Decision Making for Real-Time Analytics of Synthetic Aperture Radar (SAR) Data

Data Analytics for Solar Energy Yield and Optimization Possibilities for Load Management of Electric Buses

Quantifying and explaining uncertainty in modeling permafrost thaw under a warming climate

Multi-resolution models for single-cell genomics data

Data-Driven Time-Dependent Multiphysics Simulation and Optimization of Electron Solvation from Nanodiamonds

On-board Image Classification based on Space-Based FPGA Processing

Towards molecular digital pathology: leveraging spatial transcriptomics and deep learning to predict gene expression from tissue morphology in solid tumors

Enhanced Computational Approaches for Seismic Risk Assessment of Infrastructure Networks

Identification of Rock Falls in Mars Reconnaissance Orbiter Images Using Machine Learning

Context-awareness in real-time image classification for ground-based gamma-ray telescopes

An unsupervised census of astrophysical transients in the universe

Identification of Disease-causing Genetic Variants by Genome-wide Predictions of Human Variant Effects

Arctic Environmental Data Analytics

End-to-End Management of Experimental Data Science on Biomedical Molecular Data

Facilitating Machine Learning on Super-High Resolution Earth Observation Data for Detecting and Quantifying Arctic Permafrost Thaw Dynamics

Building a Photonic Processor for Energy-Efficient AI

Data-driven performance optimization of coloured and textured solar modules

Machine Learning Meets Theoretical Chemistry: Data-driven Analysis of Grapheneoxide

Dynamic Scheduling of Gamma-ray Source Observations

Multi-satellite Approach of Monitoring Atmosphere/Magnetosphere Space Weather Interactions

Explainable Artificial Intelligence and Trust in the Energy Sector

Data fusion using remote sensing data and machine/deep learning techniques to better understand present past and future vegetation dynamics in Central Yakutia

Data Mining Dynamic Human Behaviors for Flood Risk Assessment in Coupled Human-environment Systems

Corpus-wide inference of gene relationships using semantic word representations

Deep Learning with sparse annotations for the analysis of lung tissue microscopy images