Search Results for author:
Found 8 papers, 1 papers with code
Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions
Crowd anomaly detection is one of the most popular topics in computer vision in the context of smart cities.
Symbolic Explanation of Affinity-Based Reinforcement Learning Agents with Markov Models
We have developed a policy regularization method that asserts the global intrinsic affinities of learned strategies.
Towards Responsible AI for Financial Transactions
The application of AI in finance is increasingly dependent on the principles of responsible AI.
Balancing Profit, Risk, and Sustainability for Portfolio Management
Stock portfolio optimization is the process of continuous reallocation of funds to a selection of stocks.
Reinforcement Learning with Intrinsic Affinity for Personalized Prosperity Management
The common purpose of applying reinforcement learning (RL) to asset management is the maximization of profit.
Understanding Spending Behavior: Recurrent Neural Network Explanation and Interpretation
In this study, we address this issue by extracting a symbolic explanation for our model and providing an interpretation of our temporal features.
Clustering in Recurrent Neural Networks for Micro-Segmentation using Spending Personality
Customer segmentation has long been a productive field in banking.
The Convolutional Tsetlin Machine
Whereas the TM categorizes an image by employing each clause once to the whole image, the CTM uses each clause as a convolution filter.
Ranked #14 on
Image Classification
on Fashion-MNIST
