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09/15/2023
Heteroskedastic conformal regression
Conformal prediction, and split conformal prediction as a specific imple...
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03/08/2023
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps
Texture analysis is a classical yet challenging task in computer vision ...
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11/08/2022
Hyperparameter optimization in deep multi-target prediction
As a result of the ever increasing complexity of configuring and fine-tu...
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07/17/2022
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring
The deep learning literature is continuously updated with new architectu...
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07/01/2021
Well-calibrated prediction intervals for regression problems
Over the last few decades, various methods have been proposed for estima...
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04/19/2021
Automated problem setting selection in multi-target prediction with AutoMTP
Algorithm Selection (AS) is concerned with the selection of the best-sui...
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03/05/2018
A Comparative Study of Pairwise Learning Methods based on Kernel Ridge Regression
Many machine learning problems can be formulated as predicting labels fo...
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08/24/2015
An evolutionary approach to the identification of Cellular Automata based on partial observations
In this paper we consider the identification problem of Cellular Automat...
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12/26/2014
Improved texture image classification through the use of a corrosion-inspired cellular automaton
In this paper, the problem of classifying synthetic and natural texture ...
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05/17/2014
Identification of functionally related enzymes by learning-to-rank methods
Enzyme sequences and structures are routinely used in the biological sci...
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09/21/2012
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data
In domains like bioinformatics, information retrieval and social network...
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11/28/2011
