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09/05/2023
Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR data
Airborne LiDAR systems have the capability to capture the Earth's surfac...
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10/28/2022
Object Segmentation of Cluttered Airborne LiDAR Point Clouds
Airborne topographic LiDAR is an active remote sensing technology that e...
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01/30/2022
Deep Non-Crossing Quantiles through the Partial Derivative
Quantile Regression (QR) provides a way to approximate a single conditio...
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07/09/2021
Algorithmic Causal Effect Identification with causaleffect
Our evolution as a species made a huge step forward when we understood t...
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03/05/2021
Graph Convolutional Embeddings for Recommender Systems
Modern recommender systems (RS) work by processing a number of signals t...
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06/15/2020
Causal Inference with Deep Causal Graphs
Parametric causal modelling techniques rarely provide functionality for ...
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12/29/2019
Dirichlet uncertainty wrappers for actionable algorithm accuracy accountability and auditability
Nowadays, the use of machine learning models is becoming a utility in ma...
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12/10/2019
WCE Polyp Detection with Triplet based Embeddings
Wireless capsule endoscopy is a medical procedure used to visualize the ...
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10/27/2019
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
In regression tasks, aleatoric uncertainty is commonly addressed by cons...
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09/19/2019
Explaining Visual Models by Causal Attribution
Model explanations based on pure observational data cannot compute the e...
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07/24/2018
Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series
Deep Learning is a consolidated, state-of-the-art Machine Learning tool ...
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05/29/2018
Uncertainty Gated Network for Land Cover Segmentation
The production of thematic maps depicting land cover is one of the most ...
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07/26/2016
Generic Feature Learning for Wireless Capsule Endoscopy Analysis
The interpretation and analysis of the wireless capsule endoscopy record...
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05/29/2015