5 papers
Efficient Representation of the Activation Space in Deep Neural Networks
Tanya Akumu, Celia Cintas, Girmaw Abebe Tadesse +3
The representations of the activation space of deep neural networks (DNNs) are widely utilized for tasks like natural language processing, anomaly detection and speech recognition.…
Model-Free Reinforcement Learning for Asset Allocation
Adebayo Oshingbesan, Eniola Ajiboye, Peruth Kamashazi +1
Asset allocation (or portfolio management) is the task of determining how to optimally allocate funds of a finite budget into a range of financial instruments/assets such as stocks…
Leak Detection in Natural Gas Pipeline Using Machine Learning Models
Adebayo Oshingbesan
Leak detection in gas pipelines is an important and persistent problem in the Oil and Gas industry. This is particularly important as pipelines are the most common way of transport…
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer Transformers
Adebayo Oshingbesan, Courage Ekoh, Germann Atakpa +1
Text-to-text transformers have shown remarkable success in the task of multi-task transfer learning, especially in natural language processing (NLP). However, while there have been…
Detection of Malicious Websites Using Machine Learning Techniques
Adebayo Oshingbesan, Courage Ekoh, Chukwuemeka Okobi +2
In detecting malicious websites, a common approach is the use of blacklists which are not exhaustive in themselves and are unable to generalize to new malicious sites. Detecting ne…