research
∙
04/06/2023
From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management
Anomalies are often indicators of malfunction or inefficiency in various...
share
research
∙
07/12/2022
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial Intelligence
Explainable artificial intelligence (XAI) methods lack ground truth. In ...
research
∙
04/01/2022
Double-Hashing Algorithm for Frequency Estimation in Data Streams
Frequency estimation of elements is an important task for summarizing da...
research
∙
12/02/2021
Counterfactual Explanations via Latent Space Projection and Interpolation
Counterfactual explanations represent the minimal change to a data sampl...
research
∙
06/17/2021
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data
Class-imbalanced data, in which some classes contain far more samples th...
research
∙
06/02/2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training
Tabular data underpins numerous high-impact applications of machine lear...
research
∙
12/16/2020
Latent-CF: A Simple Baseline for Reverse Counterfactual Explanations
In the environment of fair lending laws and the General Data Protection ...
research
∙
10/04/2020
DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue
Task oriented dialogue (TOD) requires the complex interleaving of a numb...
research
∙
09/11/2020
Machine Learning for Temporal Data in Finance: Challenges and Opportunities
Temporal data are ubiquitous in the financial services (FS) industry – t...
research
∙
07/20/2020
Towards Ground Truth Explainability on Tabular Data
In data science, there is a long history of using synthetic data for met...
research
∙
07/01/2020
Navigating the Dynamics of Financial Embeddings over Time
Financial transactions constitute connections between entities and throu...
research
∙
06/18/2020
Quantifying Challenges in the Application of Graph Representation Learning
Graph Representation Learning (GRL) has experienced significant progress...
research
∙
10/07/2019
On the Interpretability and Evaluation of Graph Representation Learning
With the rising interest in graph representation learning, a variety of ...
research
∙
07/16/2019
DeepTrax: Embedding Graphs of Financial Transactions
Financial transactions can be considered edges in a heterogeneous graph ...
research
∙
07/03/2019
