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09/18/2023
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning
Communication efficiency is a major challenge in federated learning (FL)...
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08/21/2023
Extreme Multilabel Classification for Specialist Doctor Recommendation with Implicit Feedback and Limited Patient Metadata
Recommendation Systems (RS) are often used to address the issue of medic...
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06/13/2023
Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification
Research in 3D semantic segmentation has been increasing performance met...
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05/31/2023
EAMDrift: An interpretable self retrain model for time series
The use of machine learning for time series prediction has become increa...
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03/27/2023
Conjunction Data Messages for Space Collision Behave as a Poisson Process
Space debris is a major problem in space exploration. International bodi...
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02/09/2023
Accurate and Interpretable Solution of the Inverse Rig for Realistic Blendshape Models with Quadratic Corrective Terms
We propose a new model-based algorithm solving the inverse rig problem i...
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02/09/2023
High-fidelity Interpretable Inverse Rig: An Accurate and Sparse Solution Optimizing the Quartic Blendshape Model
We propose a method to fit arbitrarily accurate blendshape rig models by...
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10/17/2022
ISEE.U: Distributed online active target localization with unpredictable targets
This paper addresses target localization with an online active learning ...
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07/19/2022
Machine Learning in Orbit Estimation: a Survey
Since the late '50s, when the first artificial satellite was launched, t...
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07/01/2022
A Temporal Fusion Transformer for Long-term Explainable Prediction of Emergency Department Overcrowding
Emergency Departments (EDs) are a fundamental element of the Portuguese ...
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03/26/2022
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
Gaussian Processes are a powerful tool for shape modelling. While the ex...
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02/03/2022
Ranking with Confidence for Large Scale Comparison Data
In this work, we leverage a generative data model considering comparison...
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01/24/2022
Decentralized EM to Learn Gaussian Mixtures from Datasets Distributed by Features
Expectation Maximization (EM) is the standard method to learn Gaussian m...
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01/03/2022
A Cluster-Based Trip Prediction Graph Neural Network Model for Bike Sharing Systems
Bike Sharing Systems (BSSs) are emerging as an innovative transportation...
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12/08/2021
COSMIC: fast closed-form identification from large-scale data for LTV systems
We introduce a closed-form method for identification of discrete-time li...
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11/02/2021
Decision Support Models for Predicting and Explaining Airport Passenger Connectivity from Data
Predicting if passengers in a connecting flight will lose their connecti...
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10/06/2021
Robust Localization with Bounded Noise: Creating a Superset of the Possible Target Positions via Linear-Fractional Representations
Locating an object is key in many applications, namely in high-stakes re...
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10/05/2021
Clustering of the Blendshape Facial Model
Digital human animation relies on high-quality 3D models of the human fa...
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10/01/2021
Range and Bearing Data Fusion for Precise Convex Network Localization
Hybrid localization in GNSS-challenged environments using measured range...
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10/01/2021
STRONG: Synchronous and asynchronous RObust Network localization, under Non-Gaussian noise
Real-world network applications must cope with failing nodes, malicious ...
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09/17/2021
Accurate, Interpretable, and Fast Animation: An Iterative, Sparse, and Nonconvex Approach
Digital human animation relies on high-quality 3D models of the human fa...
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05/14/2021
Conjunction Data Messages behave as a Poisson Process
Space debris is a major problem in space exploration. International bodi...
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08/22/2020
RANSIP : From noisy point clouds to complete ear models, unsupervised
Ears are a particularly difficult region of the human face to model, not...
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01/27/2017