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7 papers · 1 filter
Data Cleansing for GANs
Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara
As the application of generative adversarial networks (GANs) expands, it becomes increasingly critical to develop a unified approach that improves performance across various genera…
QUBO-inspired Molecular Fingerprint for Chemical Property Prediction
Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama +1
Molecular fingerprints are widely used for predicting chemical properties, and selecting appropriate fingerprints is important. We generate new fingerprints based on the assumption…
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting
Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama +1
This paper proposes an extension of regression trees by quadratic unconstrained binary optimization (QUBO). Regression trees are very popular prediction models that are trainable w…
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models
Lijing Wang, Dipanjan Ghosh, Maria Teresa Gonzalez Diaz +5
Deep learning classifiers are assisting humans in making decisions and hence the user's trust in these models is of paramount importance. Trust is often a function of constant beha…
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis
Hideaki Hayashi, Taro Shibanoki, Keisuke Shima +2
This paper proposes a probabilistic neural network developed on the basis of time-series discriminant component analysis (TSDCA) that can be used to classify high-dimensional time-…
Automatic Source Code Summarization with Extended Tree-LSTM
Yusuke Shido, Yasuaki Kobayashi, Akihiro Yamamoto +2
Neural machine translation models are used to automatically generate a document from given source code since this can be regarded as a machine translation task. Source code summari…