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11/28/2022
A Critical Analysis of Classifier Selection in Learned Bloom Filters
Learned Bloom Filters, i.e., models induced from data via machine learni...
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12/13/2021
On the Choice of General Purpose Classifiers in Learned Bloom Filters: An Initial Analysis Within Basic Filters
Bloom Filters are a fundamental and pervasive data structure. Within the...
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08/28/2021
Compact representations of convolutional neural networks via weight pruning and quantization
The state-of-the-art performance for several real-world problems is curr...
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07/15/2020
Compression strategies and space-conscious representations for deep neural networks
Recent advances in deep learning have made available large, powerful con...
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04/10/2019
Multitask Hopfield Networks
Multitask algorithms typically use task similarity information as a bias...
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05/23/2018
Analysis of Novel Annotations in the Gene Ontology for Boosting the Selection of Negative Examples
Public repositories for genome and proteome annotations, such as the Gen...
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05/18/2018
Combining Cost-Sensitive Classification with Negative Selection for Protein Function Prediction
Motivation: Computational methods play a central role in annotating the ...
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11/03/2016