• Cyclostationary Random Number Sequences for the Tsetlin Machine 

      Tunheim, Svein Anders; Yadav, Rohan Kumar; Lei, Jiao; Shafik, Rishad; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2022)
      The Tsetlin Machine (TM) constitutes an emerging machine learning algorithm that has shown competitive performance on several benchmarks. The underlying concept of the TM is propositional logic determined by a group of ...
    • Enhancing Attention’s Explanation Using Interpretable Tsetlin Machine 

      Yadav, Rohan Kumar; Nicolae, Dragoş Constantin (Journal article; Peer reviewed, 2022)
      Explainability is one of the key factors in Natural Language Processing (NLP) specially for legal documents, medical diagnosis, and clinical text. Attention mechanism has been a popular choice for such explainability ...
    • Indoor Space Classification Using Cascaded LSTM 

      Yadav, Rohan Kumar; Bhattarai, Bimal; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2020)
      Indoor space classification is an important part of localization that helps in precise location extraction, which has been extensively utilized in industrial and domestic domain. There are various approaches that employ ...
    • Interpretable Architectures and Algorithms for Natural Language Processing 

      Yadav, Rohan Kumar (Doctoral Dissertations at the University of Agder; no. 388, Doctoral thesis, 2022)
      This thesis has two parts: Firstly, we introduce the human level-interpretable models using Tsetlin Machine (TM) for NLP tasks. Secondly, we present an interpretable model using DNNs. The first part combines several ...
    • A Lite Romanian BERT:ALR-BERT 

      Nicolae, Dragoş Constantin; Yadav, Rohan Kumar; Tufiş, Dan (Peer reviewed; Journal article, 2022)
      Large-scale pre-trained language representation and its promising performance in various downstream applications have become an area of interest in the field of natural language processing (NLP). There has been huge interest ...
    • Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling 

      Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar (Peer reviewed; Journal article, 2021)
      Using logical clauses to represent patterns, Tsetlin Machine (TM) have recently obtained competitive performance in terms of accuracy, memory footprint, energy, and learning speed on several benchmarks. Each TM clause votes ...
    • Positionless aspect based sentiment analysis using attention mechanism. 

      Yadav, Rohan Kumar; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2021)
    • Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation 

      Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (IJCAI International Joint Conference on Artificial Intelligence, Peer reviewed; Conference object, 2022)
      The state-of-the-art natural language processing models have raised the bar for excellent performance on a variety of tasks in recent years. However, concerns are rising over their primitive sensitivity to distribution ...