11 citations
- Fujitsu (Japan)JP12 papers
- The University of TokyoJP5 papers
- Fujitsu (United States)US4 papers
- University of Illinois Urbana-ChampaignUS2 papers
- Ames Research CenterUS1 paper
- Arizona State UniversityUS1 paper
- Barcelona Supercomputing CenterES1 paper
- Carnegie Mellon UniversityUS1 paper
- Computing CenterRU1 paper
- Delft University of TechnologyNL1 paper
- Fujitsu (United Kingdom)GB1 paper
- Hokkaido UniversityJP1 paper
Showing cs.LGShow all
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cs.LG2025★ 4 cited
Contextual Quantum Neural Networks for Stock Price Prediction
Sharan Mourya, Hannes Leipold, Bibhas Adhikari
In this paper, we apply quantum machine learning (QML) to predict the stock prices of multiple assets using a contextual quantum neural network. Our approach captures recent trends…
cs.LG2022★ 11 cited
SapientML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions
Ripon K. Saha, Akira Ura, Sonal Mahajan +6
Automatic machine learning, or AutoML, holds the promise of truly democratizing the use of machine learning (ML), by substantially automating the work of data scientists. However,…
cs.LG2020★ 5 cited
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi +3
Post-hoc explanation methods for machine learning models have been widely used to support decision-making. One of the popular methods is Counterfactual Explanation (CE), also known…