A set of variables is the Markov blanket of a random variable if it cont...
In this paper, we advocate CPN-FedSL, a novel and flexible Federated Spl...
Neural network-based models have found wide use in automatic long-term
e...
Tsetlin machine (TM) is a logic-based machine learning approach with the...
Embedding words in vector space is a fundamental first step in
state-of-...
Tsetlin Machine (TM) has been gaining popularity as an inherently
interp...
Crowd anomaly detection is one of the most popular topics in computer vi...
To fight against infectious diseases (e.g., SARS, COVID-19, Ebola, etc.)...
The deep learning revolution is touching all scientific disciplines and
...
The Tsetlin Machine (TM) is a novel machine-learning algorithm based on
...
In this article, we introduce a novel variant of the Tsetlin machine (TM...
The proliferation of fake news, i.e., news intentionally spread for
misi...
Recent research in novelty detection focuses mainly on document-level
cl...
Tsetlin Machine (TM) is an interpretable pattern recognition algorithm b...
Recently, mobile robots have become important tools in various industrie...
The Tsetlin Machine (TM) is a novel machine learning algorithm with seve...
In mobile edge computing (MEC), one of the important challenges is how m...
Most supervised text classification approaches assume a closed world,
co...
Using logical clauses to represent patterns, Tsetlin machines (TMs) have...
The Tsetlin Machine (TM) is a recent machine learning algorithm with sev...
A wide range of applications in marine ecology extensively uses underwat...
Deep neural networks have obtained astounding successes for important pa...
The recently introduced Tsetlin Machine (TM) has provided competitive pa...
Our understanding and ability to effectively monitor and manage coastal
...
Medical applications challenge today's text categorization techniques by...