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MitoVis: A Visually-guided Interactive Intelligent System for Neuronal Mitochondria Analysis
It is known that the morphology of mitochondria is closely related to the functions of neurons and neurodegenerative diseases.
Handling Out-Of-Vocabulary Problem in Hangeul Word Embeddings
Word embedding is considered an essential factor in improving the performance of various Natural Language Processing (NLP) models.
Disentangling Options with Hellinger Distance Regularizer
In reinforcement learning (RL), temporal abstraction still remains as an important and unsolved problem.
Task-oriented Design through Deep Reinforcement Learning
We propose a new low-cost machine-learning-based methodology which assists designers in reducing the gap between the problem and the solution in the design process.
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
In addition to this performance enhancement problem, we show that the proposed PGN can be adopted to solve the classical adversarial problem without utilizing the information on the target classifier.
