activity
20172021
most citedGenerating Dialogue Agents via Automated Planning

7 citations · 17 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CE20213 cited

Molecule Generation Experience: An Open Platform of Material Design for Public Users

Seiji Takeda, Toshiyuki Hama, Hsiang-Han Hsu +10

Artificial Intelligence (AI)-driven material design has been attracting great attentions as a groundbreaking technology across a wide spectrum of industries. Molecular design is pa…

cs.LG2021

Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization

Paulito P. Palmes, Akihiro Kishimoto, Radu Marinescu +2

The pipeline optimization problem in machine learning requires simultaneous optimization of pipeline structures and parameter adaptation of their elements. Having an elegant way to…

cs.SI2020

Client Network: An Interactive Model for Predicting New Clients

Massimiliano Mattetti, Akihiro Kishimoto, Adi Botea +4

Understanding prospective clients becomes increasingly important as companies aim to enlarge their market bases. Traditional approaches typically treat each client in isolation, ei…

cs.CV20204 cited

Estimating Blink Probability for Highlight Detection in Figure Skating Videos

Tamami Nakano, Atsuya Sakata, Akihiro Kishimoto

Highlight detection in sports videos has a broad viewership and huge commercial potential. It is thus imperative to detect highlight scenes more suitably for human interest with hi…

cs.DS2019

Subadditive Load Balancing

Kiyohito Nagano, Akihiro Kishimoto

Set function optimization is essential in AI and machine learning. We focus on a subadditive set function that generalizes submodularity, and examine the subadditivity of non-submo…

cs.AI20197 cited

Generating Dialogue Agents via Automated Planning

Adi Botea, Christian Muise, Shubham Agarwal +9

Dialogue systems have many applications such as customer support or question answering. Typically they have been limited to shallow single turn interactions. However more advanced…