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09/12/2023
Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning
A set of variables is the Markov blanket of a random variable if it cont...
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05/22/2023
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework
In this paper, we advocate CPN-FedSL, a novel and flexible Federated Spl...
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01/20/2023
Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification
Neural network-based models have found wide use in automatic long-term e...
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01/19/2023
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
Tsetlin machine (TM) is a logic-based machine learning approach with the...
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01/02/2023
Tsetlin Machine Embedding: Representing Words Using Logical Expressions
Embedding words in vector space is a fundamental first step in state-of-...
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12/27/2022
On the Equivalence of the Weighted Tsetlin Machine and the Perceptron
Tsetlin Machine (TM) has been gaining popularity as an inherently interp...
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10/25/2022
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 vi...
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01/20/2022
CoAvoid: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases
To fight against infectious diseases (e.g., SARS, COVID-19, Ebola, etc.)...
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09/29/2021
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
The deep learning revolution is touching all scientific disciplines and ...
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09/17/2021
On the Convergence of Tsetlin Machines for the AND and the OR Operators
The Tsetlin Machine (TM) is a novel machine-learning algorithm based on ...
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05/30/2021
Human Interpretable AI: Enhancing Tsetlin Machine Stochasticity with Drop Clause
In this article, we introduce a novel variant of the Tsetlin machine (TM...
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05/19/2021
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
The proliferation of fake news, i.e., news intentionally spread for misi...
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05/10/2021
Word-level Human Interpretable Scoring Mechanism for Novel Text Detection Using Tsetlin Machines
Recent research in novelty detection focuses mainly on document-level cl...
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04/14/2021
Distributed Word Representation in Tsetlin Machine
Tsetlin Machine (TM) is an interpretable pattern recognition algorithm b...
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04/08/2021
Towards Deployment of Deep-Reinforcement-Learning-Based Obstacle Avoidance into Conventional Autonomous Navigation Systems
Recently, mobile robots have become important tools in various industrie...
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01/07/2021
On the Convergence of Tsetlin Machines for the XOR Operator
The Tsetlin Machine (TM) is a novel machine learning algorithm with seve...
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12/18/2020
A Comprehensive Utility Function for Resource Allocation in Mobile Edge Computing
In mobile edge computing (MEC), one of the important challenges is how m...
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11/17/2020
Measuring the Novelty of Natural Language Text Using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
Most supervised text classification approaches assume a closed world, co...
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09/10/2020
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Using logical clauses to represent patterns, Tsetlin machines (TMs) have...
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07/28/2020
On the Convergence of Tsetlin Machines for the IDENTITY- and NOT Operators
The Tsetlin Machine (TM) is a recent machine learning algorithm with sev...
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05/14/2020
Temperate Fish Detection and Classification: a Deep Learning based Approach
A wide range of applications in marine ecology extensively uses underwat...
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05/23/2019
The Convolutional Tsetlin Machine
Deep neural networks have obtained astounding successes for important pa...
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05/10/2019
The Regression Tsetlin Machine: A Tsetlin Machine for Continuous Output Problems
The recently introduced Tsetlin Machine (TM) has provided competitive pa...
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04/04/2019
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation
Our understanding and ability to effectively monitor and manage coastal ...
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09/12/2018
