85 citations · 99 across the 7 of their papers we have counts for
7 papers
A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentation
Jinyeong Chae, Ki Yong Hong, Jihie Kim
Increasing numbers of patients with disabilities or elderly people with mobility issues often suffer from a pressure ulcer. The affected areas need regular checks, but they have a…
Ensemble-Based Deep Reinforcement Learning for Chatbots
Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu +7
Trainable chatbots that exhibit fluent and human-like conversations remain a big challenge in artificial intelligence. Deep Reinforcement Learning (DRL) is promising for addressing…
Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu +3
Training chatbots using the reinforcement learning paradigm is challenging due to high-dimensional states, infinite action spaces and the difficulty in specifying the reward functi…
A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents
Heriberto Cuayáhuitl, Seonghan Ryu, Donghyeon Lee +1
The amount of dialogue history to include in a conversational agent is often underestimated and/or set in an empirical and thus possibly naive way. This suggests that principled in…
Syllable-level Neural Language Model for Agglutinative Language
Seunghak Yu, Nilesh Kulkarni, Haejun Lee +1
Language models for agglutinative languages have always been hindered in past due to myriad of agglutinations possible to any given word through various affixes. We propose a metho…
An Embedded Deep Learning based Word Prediction
Seunghak Yu, Nilesh Kulkarni, Haejun Lee +1
Recent developments in deep learning with application to language modeling have led to success in tasks of text processing, summarizing and machine translation. However, deploying…