Search Results for author:
Found 7 papers, 2 papers with code
MambaNet: A Hybrid Neural Network for Predicting the NBA Playoffs
In this paper, we present Mambanet: a hybrid neural network for predicting the outcomes of Basketball games.
Feature Imitating Networks
In this paper, we introduce a novel approach to neural learning: the Feature-Imitating-Network (FIN).
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models
More concretely, our CX-ToM framework generates sequence of explanations in a dialog by mediating the differences between the minds of machine and human user.
EEG Channel Interpolation Using Deep Encoder-decoder Netwoks
Our approach exhibited a minimum of ~15% improvement over contemporary approaches when tested on subjects and tasks not used during model training.
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust
We present a new explainable AI (XAI) framework aimed at increasing justified human trust and reliance in the AI machine through explanations.
Action Recognition
Explainable Artificial Intelligence (XAI)
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Multi-Source Multi-Class Fake News Detection
Fake news spreading through media outlets poses a real threat to the trustworthiness of information and detecting fake news has attracted increasing attention in recent years.
