AI-Based Clinical Rule Discovery for NMIBC Recurrence through Tsetlin Machines
Fuente:
arXiv
Saved in:
| Main Authors: | Abbas, Saram, Soomro, Naeem, Shafik, Rishad, Heer, Rakesh, Adhikari, Kabita |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction
by: Abbas, Saram, et al.
Published: (2025)
by: Abbas, Saram, et al.
Published: (2025)
Reviewing AI's Role in Non-Muscle-Invasive Bladder Cancer Recurrence Prediction
by: Abbas, Saram, et al.
Published: (2024)
by: Abbas, Saram, et al.
Published: (2024)
Exploring State Space and Reasoning by Elimination in Tsetlin Machines
by: Kadhim, Ahmed K., et al.
Published: (2024)
by: Kadhim, Ahmed K., et al.
Published: (2024)
Uncertainty Quantification in the Tsetlin Machine
by: Helin, Runar, et al.
Published: (2025)
by: Helin, Runar, et al.
Published: (2025)
MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications
by: Rahman, Tousif, et al.
Published: (2024)
by: Rahman, Tousif, et al.
Published: (2024)
Runtime Tunable Tsetlin Machines for Edge Inference on eFPGAs
by: Rahman, Tousif, et al.
Published: (2025)
by: Rahman, Tousif, et al.
Published: (2025)
IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference
by: Ghazal, Omar, et al.
Published: (2024)
by: Ghazal, Omar, et al.
Published: (2024)
Event-Driven Digital-Time-Domain Inference Architectures for Tsetlin Machines
by: Lan, Tian, et al.
Published: (2025)
by: Lan, Tian, et al.
Published: (2025)
ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine
by: Duan, Shengyu, et al.
Published: (2025)
by: Duan, Shengyu, et al.
Published: (2025)
Fast and Compact Tsetlin Machine Inference on CPUs Using Instruction-Level Optimization
by: Zeng, Yefan, et al.
Published: (2025)
by: Zeng, Yefan, et al.
Published: (2025)
Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings
by: Kadhim, Ahmed K., et al.
Published: (2025)
by: Kadhim, Ahmed K., et al.
Published: (2025)
Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks
by: Glimsdal, Sondre, et al.
Published: (2024)
by: Glimsdal, Sondre, et al.
Published: (2024)
Fuzzy-Pattern Tsetlin Machine
by: Hnilov, Artem
Published: (2025)
by: Hnilov, Artem
Published: (2025)
TsetlinWiSARD: On-Chip Training of Weightless Neural Networks using Tsetlin Automata on FPGAs
by: Duan, Shengyu, et al.
Published: (2026)
by: Duan, Shengyu, et al.
Published: (2026)
Omni TM-AE: A Scalable and Interpretable Embedding Model Using the Full Tsetlin Machine State Space
by: Kadhim, Ahmed K., et al.
Published: (2025)
by: Kadhim, Ahmed K., et al.
Published: (2025)
A Methodology for Transparent Logic-Based Classification Using a Multi-Task Convolutional Tsetlin Machine
by: Shende, Mayur Kishor, et al.
Published: (2025)
by: Shende, Mayur Kishor, et al.
Published: (2025)
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
by: Halenka, Vojtech, et al.
Published: (2024)
by: Halenka, Vojtech, et al.
Published: (2024)
Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs
by: Mao, Gang, et al.
Published: (2025)
by: Mao, Gang, et al.
Published: (2025)
The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs
by: Granmo, Ole-Christoffer, et al.
Published: (2025)
by: Granmo, Ole-Christoffer, et al.
Published: (2025)
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation
by: Blakely, Christian D.
Published: (2024)
by: Blakely, Christian D.
Published: (2024)
The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification
by: Abeyrathna, K. Darshana, et al.
Published: (2024)
by: Abeyrathna, K. Darshana, et al.
Published: (2024)
Symbolic Graph Intelligence: Hypervector Message Passing for Learning Graph-Level Patterns with Tsetlin Machines
by: Blakely, Christian D.
Published: (2025)
by: Blakely, Christian D.
Published: (2025)
FastOmniTMAE: Parallel Clause Learning for Scalable and Hardware-Efficient Tsetlin Embeddings
by: Kadhim, Ahmed K., et al.
Published: (2026)
by: Kadhim, Ahmed K., et al.
Published: (2026)
LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines
by: Gao, Jiechao, et al.
Published: (2026)
by: Gao, Jiechao, et al.
Published: (2026)
A Novel Approach To Implementing Knowledge Distillation In Tsetlin Machines
by: Kinateder, Calvin
Published: (2025)
by: Kinateder, Calvin
Published: (2025)
In-Memory Learning Automata Architecture using Y-Flash Cell
by: Ghazal, Omar, et al.
Published: (2024)
by: Ghazal, Omar, et al.
Published: (2024)
The Sparse Tsetlin Machine: Sparse Representation with Active Literals
by: Østby, Sebastian, et al.
Published: (2024)
by: Østby, Sebastian, et al.
Published: (2024)
An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator
by: Tunheim, Svein Anders, et al.
Published: (2025)
by: Tunheim, Svein Anders, et al.
Published: (2025)
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites
by: Grønningsæter, Ylva, et al.
Published: (2024)
by: Grønningsæter, Ylva, et al.
Published: (2024)
Utilizing AI and Machine Learning for Predictive Analysis of Post-Treatment Cancer Recurrence
by: Qayyum, Muhammad Umer, et al.
Published: (2025)
by: Qayyum, Muhammad Umer, et al.
Published: (2025)
Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs
by: Jan, Essa, et al.
Published: (2025)
by: Jan, Essa, et al.
Published: (2025)
A Neural Model of Rule Discovery with Relatively Short-Term Sequence Memory
by: Arakawa, Naoya
Published: (2024)
by: Arakawa, Naoya
Published: (2024)
TrueGradeAI: Retrieval-Augmented and Bias-Resistant AI for Transparent and Explainable Digital Assessments
by: Thakur, Rakesh, et al.
Published: (2025)
by: Thakur, Rakesh, et al.
Published: (2025)
Probabilistic Abduction for Visual Abstract Reasoning via Learning Rules in Vector-symbolic Architectures
by: Hersche, Michael, et al.
Published: (2024)
by: Hersche, Michael, et al.
Published: (2024)
Rule by Rule: Learning with Confidence through Vocabulary Expansion
by: Nössig, Albert, et al.
Published: (2024)
by: Nössig, Albert, et al.
Published: (2024)
A Machine Learning Pipeline for Multiple Sclerosis Biomarker Discovery: Comparing explainable AI and Traditional Statistical Approaches
by: Punzo, Samuele, et al.
Published: (2025)
by: Punzo, Samuele, et al.
Published: (2025)
RefTr: Recurrent Refinement of Confluent Trajectories for 3D Vascular Tree Centerlines
by: Naeem, Roman, et al.
Published: (2025)
by: Naeem, Roman, et al.
Published: (2025)
Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction
by: Lukić, Bojan
Published: (2025)
by: Lukić, Bojan
Published: (2025)
Procedural Generation of Algorithm Discovery Tasks in Machine Learning
by: Goldie, Alexander D., et al.
Published: (2026)
by: Goldie, Alexander D., et al.
Published: (2026)
Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS)
by: Zhou, Yifan, et al.
Published: (2023)
by: Zhou, Yifan, et al.
Published: (2023)
Similar Items
-
Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction
by: Abbas, Saram, et al.
Published: (2025) -
Reviewing AI's Role in Non-Muscle-Invasive Bladder Cancer Recurrence Prediction
by: Abbas, Saram, et al.
Published: (2024) -
Exploring State Space and Reasoning by Elimination in Tsetlin Machines
by: Kadhim, Ahmed K., et al.
Published: (2024) -
Uncertainty Quantification in the Tsetlin Machine
by: Helin, Runar, et al.
Published: (2025) -
MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications
by: Rahman, Tousif, et al.
Published: (2024)