Bianca Schoen-Phelan

Orcid: 0000-0001-8487-3690

According to our database1, Bianca Schoen-Phelan authored at least 19 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
TinyNina: A Resource-Efficient Edge-AI Framework for Sustainable Air Quality Monitoring via Intra-Image Satellite Super-Resolution.
CoRR, April, 2026

PollutionNet: A Vision Transformer Framework for Climatological Assessment of NO<sub>2</sub> and SO<sub>2</sub> Using Satellite-Ground Data Fusion.
CoRR, April, 2026

NeuroDDAF: Neural Dynamic Diffusion-Advection Fields with Evidential Fusion for Air Quality Forecasting.
CoRR, April, 2026

Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings.
CoRR, March, 2026

One-for-All: A Lightweight Stabilized and Parameter-Efficient Pre-trained LLM for Time Series Forecasting.
CoRR, March, 2026

2024
CombineDeepNet: A Deep Network for Multistep Prediction of Near-Surface PM$_{2.5}$ Concentration.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Predicting Multivariate Air Pollution: A Gaussian-Mixture Nested Factorial Variational Autoencoder Approach.
IEEE Geosci. Remote. Sens. Lett., 2024

NES-VIT-NET: A Nested Vision Transformer-Based Network for Near-Surface NO2 Estimation from Satellite and Ground Observations.
Proceedings of the IGARSS 2024, 2024

2023
Towards A Framework for Privacy-Preserving Pedestrian Analysis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

BiLSTM-BiGRU: A Fusion Deep Neural Network For Predicting Air Pollutant Concentration.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Actor-Centric Spatio-Temporal Feature Extraction for Action Recognition.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2022
Self-Supervised Learning for Invariant Representations From Multi-Spectral and SAR Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021
Multi-Modal Self-Supervised Representation Learning for Earth Observation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

SMPL-Based 3D Pedestrian Pose Prediction.
Proceedings of the 16th IEEE International Conference on Automatic Face and Gesture Recognition, 2021

2020
Volunteered and crowdsourced geographic information: the OpenStreetMap project.
J. Spatial Inf. Sci., 2020

Automatic flood detection in SentineI-2 images using deep convolutional neural networks.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Tri-Band Assessment of Multi-Spectral Satellite Data for Flood Detection.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), 2020

2019
MediaEval2019: Flood Detection in Time Sequence Satellite Images.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

Estimating distributed representation performance in disaster-related social media classification.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019


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