Effective In-Silico Gene Perturbation by Machine Learning Model Interpretation for Immunotherapies
- Tanwi Biswas
- Akira Koseki
- et al.
- 2024
- ISMB 2024
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137 results for Explainable AI
Discovering Intrinsic PK/PD Models Using Physics Informed Neural Networks
- Imran Nasim
- Adam Nasim
- et al.
- 2024
- PAGE-Meeting 2024
An Introduction to Geospatial Foundation Model
- 2024
- JpGU 2024
ML approaches to flood susceptibility mapping at the country scale
- Geoffrey Dawson
- Junaid Butt
- et al.
- 2023
- EGU 2023
Feature Set for a Prediction Model of Diabetic Kidney Disease Progression
- Masaki Ono
- Takayuki Katsuki
- et al.
- 2020
- MIE 2020
Deepling: A Visual Interpretability System for Convolutional Neural Networks
- 2019
- SysML 2019
Monetizing Currency Pair Sentiments through LLM Explainability
- 2024
- ECAI 2024
Geo-UNet: A Geometrically Constrained Neural Framework for Clinical-Grade Lumen Segmentation in Intravascular Ultrasound
- Yiming Chen
- Niharika DSouza
- et al.
- 2024
- MICCAI 2024
Towards a Benchmark for Causal Business Process Reasoning with LLMs
- 2024
- BPM 2024
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation
- Michal Muszynski
- Levente Klein
- et al.
- 2024
- KDD 2024