Ole-Christoffer Granmo

Ole-Christoffer Granmo

Universitetet i Agder

H-index: 32

Europe-Norway

About Ole-Christoffer Granmo

Ole-Christoffer Granmo, With an exceptional h-index of 32 and a recent h-index of 24 (since 2020), a distinguished researcher at Universitetet i Agder, specializes in the field of Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance

Efficient Data Fusion using the Tsetlin Machine

Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification

A multi‐step finite‐state automaton for arbitrarily deterministic Tsetlin Machine learning

Drop clause: enhancing performance, robustness and pattern recognition capabilities of the Tsetlin machine

Model Export for the Convolutional Coalesced Tsetlin Machine

TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin Machines

Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders

Ole-Christoffer Granmo Information

University

Position

Professor

Citations(all)

3577

Citations(since 2020)

2453

Cited By

1885

hIndex(all)

32

hIndex(since 2020)

24

i10Index(all)

97

i10Index(since 2020)

64

Email

University Profile Page

Universitetet i Agder

Google Scholar

View Google Scholar Profile

Ole-Christoffer Granmo Skills & Research Interests

Machine Learning

Top articles of Ole-Christoffer Granmo

Title

Journal

Author(s)

Publication Date

Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance

Journal of Computational Social Science

Ahmed Abouzeid

Ole-Christoffer Granmo

Morten Goodwin

Christian Webersik

2024/3/22

Efficient Data Fusion using the Tsetlin Machine

arXiv preprint arXiv:2310.17207

Rupsa Saha

Vladimir I Zadorozhny

Ole-Christoffer Granmo

2023/10/26

Interpretable Tsetlin Machine-based Premature Ventricular Contraction Identification

arXiv preprint arXiv:2301.10181

Jinbao Zhang

Xuan Zhang

Lei Jiao

Ole-Christoffer Granmo

Yongjun Qian

...

2023/1/20

A multi‐step finite‐state automaton for arbitrarily deterministic Tsetlin Machine learning

Expert Systems

Kuruge Darshana Abeyrathna

Ole‐Christoffer Granmo

Rishad Shafik

Lei Jiao

Adrian Wheeldon

...

2023/5

Drop clause: enhancing performance, robustness and pattern recognition capabilities of the Tsetlin machine

Proceedings of the AAAI Conference on Artificial Intelligence

Jivitesh Sharma

Rohan Yadav

Ole-Christoffer Granmo

Lei Jiao

2023/6/26

Model Export for the Convolutional Coalesced Tsetlin Machine

Svein Anders Tunheim

Lei Jiao

Ole-Christoffer Granmo

2023/8/29

TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin Machines

arXiv preprint arXiv:2309.04801

Ole-Christoffer Granmo

2023/9/9

Harnessing Attention Mechanisms: Efficient Sequence Reduction using Attention-based Autoencoders

arXiv preprint arXiv:2310.14837

Daniel Biermann

Fabrizio Palumbo

Morten Goodwin

Ole-Christoffer Granmo

2023/10/23

Building concise logical patterns by constraining tsetlin machine clause size

arXiv preprint arXiv:2301.08190

K Darshana Abeyrathna

Ahmed Abdulrahem Othman Abouzeid

Bimal Bhattarai

Charul Giri

Sondre Glimsdal

...

2023/1/19

Redress: Generating compressed models for edge inference using tsetlin machines

IEEE Transactions on Pattern Analysis and Machine Intelligence

Sidharth Maheshwari

Tousif Rahman

Rishad Shafik

Alex Yakovlev

Ashur Rafiev

...

2023/4/19

An FPGA Architecture for Online Learning using the Tsetlin Machine

arXiv preprint arXiv:2306.01027

Samuel Prescott

Adrian Wheeldon

Rishad Shafik

Tousif Rahman

Alex Yakovlev

...

2023/6/1

Exploring the Potential of Model-Free Reinforcement Learning using Tsetlin Machines

Didrik K Drøsdal

Andreas Grimsmo

Per-Arne Andersen

Ole-Christoffer Granmo

Morten Goodwin

2023/8/29

Enhancing Inference Performance through Include only Literal Incorporation in Tsetlin Machine

Prajwal Kumar Sahu

Srinivas Boppu

Rishad Shafik

Svein Anders Tunheim

Ole-Christoffer Granmo

...

2023

Contracting Tsetlin Machine with Absorbing Automata

arXiv preprint arXiv:2310.11481

Bimal Bhattarai

Ole-Christoffer Granmo

Lei Jiao

Per-Arne Andersen

Svein Anders Tunheim

...

2023/10/17

Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital

BMC Medical Informatics and Decision Making

Geir Thore Berge

Ole-Christoffer Granmo

Tor Oddbjørn Tveit

Bjørn Erik Munkvold

AL Ruthjersen

...

2023/1/10

Off-policy and on-policy reinforcement learning with the Tsetlin machine

Applied Intelligence

Saeed Rahimi Gorji

Ole-Christoffer Granmo

2023/4

Transfer Learning Through Knowledge-Infused Representations with Contextual Experts

Daniel Biermann

Morten Goodwin

Ole-Christoffer Granmo

2023/6/1

Learning Minimalistic Tsetlin Machine Clauses with Markov Boundary-Guided Pruning

Ole-Christoffer Granmo

Per-Arne Andersen

Lei Jiao

Xuan Zhang

Christian Blakely

...

2023/8/29

Towards IoT Anomaly Detection with Tsetlin Machines

Ole Gunvaldsen

Henning Blomfeldt Thorsen

Per-Arne Andersen

Ole-Christoffer Granmo

Morten Goodwin

2023/8/29

Generalized Convergence Analysis of Tsetlin Machines: A Probabilistic Approach to Concept Learning

arXiv preprint arXiv:2310.02005

Mohamed-Bachir Belaid

Jivitesh Sharma

Lei Jiao

Ole-Christoffer Granmo

Per-Arne Andersen

...

2023/10/3

See List of Professors in Ole-Christoffer Granmo University(Universitetet i Agder)

Co-Authors

H-index: 44
a yakovlev

a yakovlev

Newcastle University

H-index: 41
B. John Oommen

B. John Oommen

Carleton University

H-index: 40
Jose J Gonzalez

Jose J Gonzalez

Universitetet i Agder

H-index: 35
Frank Eliassen

Frank Eliassen

Universitetet i Oslo

H-index: 27
Lei Jiao

Lei Jiao

Universitetet i Agder

H-index: 26
Morten Goodwin

Morten Goodwin

Universitetet i Agder

academic-engine