250 citations · 373 across the 12 of their papers we have counts for
4 papers · 1 filter
FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series
Qiqi Su, Christos Kloukinas, Artur d'Avila Garcez
Multivariate time series have many applications, from healthcare and meteorology to life science. Although deep learning models have shown excellent predictive performance for time…
Linear-Time Sequence Classification using Restricted Boltzmann Machines
Son N. Tran, Srikanth Cherla, Artur Garcez +1
Classification of sequence data is the topic of interest for dynamic Bayesian models and Recurrent Neural Networks (RNNs). While the former can explicitly model the temporal depend…
A Hybrid Recurrent Neural Network For Music Transcription
Siddharth Sigtia, Emmanouil Benetos, Nicolas Boulanger-Lewandowski +3
We investigate the problem of incorporating higher-level symbolic score-like information into Automatic Music Transcription (AMT) systems to improve their performance. We use recur…
Adaptive Feature Ranking for Unsupervised Transfer Learning
Son N. Tran, Artur d'Avila Garcez
Transfer Learning is concerned with the application of knowledge gained from solving a problem to a different but related problem domain. In this paper, we propose a method and eff…