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05/02/2023
Uncovering the Spatial and Temporal Variability of Wind Resources in Europe: A Web-Based Data-Mining Tool
We introduce REmap-eu.app, a web-based data-mining visualization tool of...
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05/02/2023
An Improved Yaw Control Algorithm for Wind Turbines via Reinforcement Learning
Yaw misalignment, measured as the difference between the wind direction ...
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03/30/2023
Shapley Chains: Extending Shapley Values to Classifier Chains
In spite of increased attention on explainable machine learning models, ...
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02/13/2023
Transferable Deep Metric Learning for Clustering
Clustering in high dimension spaces is a difficult task; the usual dista...
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01/02/2023
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets
Missing values are a common problem in data science and machine learning...
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12/30/2022
Learning from Data Streams: An Overview and Update
The literature on machine learning in the context of data streams is vas...
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09/16/2022
Linear TreeShap
Decision trees are well-known due to their ease of interpretability. To ...
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09/09/2022
Estimating Multi-label Accuracy using Labelset Distributions
A multi-label classifier estimates the binary label state (relevant vs i...
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08/03/2022
Conv-NILM-Net, a causal and multi-appliance model for energy source separation
Non-Intrusive Load Monitoring (NILM) seeks to save energy by estimating ...
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07/24/2022
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach
In multi-label learning, a particular case of multi-task learning where ...
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07/13/2022
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG
Objective: Machine learning techniques have been used extensively for 12...
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05/19/2022
CAMEO: Curiosity Augmented Metropolis for Exploratory Optimal Policies
Reinforcement Learning has drawn huge interest as a tool for solving opt...
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03/28/2022
Isomorphic Cross-lingual Embeddings for Low-Resource Languages
Cross-Lingual Word Embeddings (CLWEs) are a key component to transfer li...
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01/07/2022
Optimality in Noisy Importance Sampling
In this work, we analyze the noisy importance sampling (IS), i.e., IS wo...
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06/16/2021
A Survey on Semi-Supervised Learning for Delayed Partially Labelled Data Streams
Unlabelled data appear in many domains and are particularly relevant to ...
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12/08/2020
River: machine learning for streaming data in Python
River is a machine learning library for dynamic data streams and continu...
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09/19/2020
Joint introduction to Gaussian Processes and Relevance Vector Machines with Connections to Kalman filtering and other Kernel Smoothers
The expressive power of Bayesian kernel-based methods has led them to be...
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12/26/2019
Classifier Chains: A Review and Perspectives
The family of methods collectively known as classifier chains has become...
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07/18/2019
Probabilistic Regressor Chains with Monte Carlo Methods
A large number and diversity of techniques have been offered in the lite...
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10/04/2018
Concept-drifting Data Streams are Time Series; The Case for Continuous Adaptation
Learning from data streams is an increasingly important topic in data mi...
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07/13/2018
Perturb and Combine to Identify Influential Spreaders in Real-World Networks
Recent research has shown that graph degeneracy algorithms, which decomp...
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07/12/2018
Scikit-Multiflow: A Multi-output Streaming Framework
Scikit-multiflow is a multi-output/multi-label and stream data mining fr...
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09/27/2016
Multi-label Methods for Prediction with Sequential Data
The number of methods available for classification of multi-label data h...
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11/03/2015
Data Stream Classification using Random Feature Functions and Novel Method Combinations
Big Data streams are being generated in a faster, bigger, and more commo...
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03/31/2015
Multi-label Classification using Labels as Hidden Nodes
Competitive methods for multi-label classification typically invest in l...
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12/17/2014
Deep Learning for Multi-label Classification
In multi-label classification, the main focus has been to develop ways o...
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05/03/2014
Kaggle LSHTC4 Winning Solution
Our winning submission to the 2014 Kaggle competition for Large Scale Hi...
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11/09/2012
