5 papers
On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT
Rahul Jaiswal, Per-Arne Andersen, Linga Reddy Cenkeramaddi +2
The rapid evolution of digital health technologies is redefining healthcare services worldwide. The integration of wireless communication and Internet-enabled medical devices withi…
The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs
Ole-Christoffer Granmo, Youmna Abdelwahab, Per-Arne Andersen +12
Pattern recognition with concise and flat AND-rules makes the Tsetlin Machine (TM) both interpretable and efficient, while the power of Tsetlin automata enables accuracy comparable…
A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
Rahul Jaiswal, Per-Arne Andersen, Linga Reddy Cenkeramaddi +2
The rapid adoption of the Internet of Medical Things (IoMT) is transforming healthcare by enabling seamless connectivity among medical devices, systems, and services. However, it a…
Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine
Vojtech Halenka, Mohammadreza Amini, Per-Arne Andersen +2
All applications in fifth-generation (5G) networks rely on stable radio-frequency (RF) environments to support mission-critical services in mobility, automation, and connected inte…
A Comparative Study of Feature Selection in Tsetlin Machines
Vojtech Halenka, Ole-Christoffer Granmo, Lei Jiao +1
Feature Selection (FS) is crucial for improving model interpretability, reducing complexity, and sometimes for enhancing accuracy. The recently introduced Tsetlin machine (TM) offe…