research
∙
04/29/2023
Industry Classification Using a Novel Financial Time-Series Case Representation
The financial domain has proven to be a fertile source of challenging ma...
share
research
∙
03/28/2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations
Graph Convolutional Networks (GCN) have been recently employed as core c...
research
∙
03/23/2022
Author Multidisciplinarity and Disciplinary Roles in Field of Study Networks
When studying large research corpora, "distant reading" methods are vita...
research
∙
01/05/2022
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting
Financial forecasting has been an important and active area of machine l...
research
∙
10/05/2021
Investigating Health-Aware Smart-Nudging with Machine Learning to Help People Pursue Healthier Eating-Habits
Food-choices and eating-habits directly contribute to our long-term heal...
research
∙
08/30/2021
Collaboration in the Time of COVID: A Scientometric Analysis of Multidisciplinary SARS-CoV-2 Research
The novel coronavirus SARS-CoV-2 and the COVID-19 illness it causes have...
research
∙
07/07/2021
Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Opportunities
Forecasting stock returns is a challenging problem due to the highly sto...
research
∙
06/29/2021
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
While state-of-the-art NLP models have been achieving the excellent perf...
research
∙
06/29/2021
Fact Check: Analyzing Financial Events from Multilingual News Sources
The explosion in the sheer magnitude and complexity of financial news da...
research
∙
04/29/2021
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation
Recently, it has been proposed that fruitful synergies may exist between...
research
∙
04/08/2021
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future
Climate change poses a major challenge to humanity, especially in its im...
research
∙
02/26/2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques
In recent years, there has been an explosion of AI research on counterfa...
research
∙
01/22/2021
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations
Counterfactual explanations provide a potentially significant solution t...
research
∙
10/23/2020
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
Corporate mergers and acquisitions (M A) account for billions of dolla...
research
∙
05/26/2020
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)
Recently, a groundswell of research has identified the use of counterfac...
research
∙
07/31/2019
Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach
Food choices are personal and complex and have a significant impact on o...
research
∙
07/18/2018
RARD II: The 2nd Related-Article Recommendation Dataset
The main contribution of this paper is to introduce and describe a new r...
research
∙
06/08/2012
