Morten Goodwin

University of Agder — Norway

Computer Science · Physical Sciences

24h-index2.3kcitations228works1.72yr avg
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Research Topics

Optimization and Search Problems(36), Reinforcement Learning in Robotics(34), Machine Learning and Algorithms(28), Topic Modeling(26), Energy Load and Power Forecasting(13)

Publications228 total

SuperF: Neural Implicit Fields for Multi-Image Super-Resolution
arXiv (Cornell University)·2025Open Access
Streamlining Municipal Governance: Detecting Redundancy in Regulation Plans Using Text Embeddings in Local Government
Lecture notes in computer science·2025
English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance
Lecture notes in computer science·2025Open Access
DESS: Dimensional-PDFs for Embedding Space Sampling
Lecture notes in computer science·2025
A New HOPE: Domain-agnostic Automatic Evaluation of Text Chunking
2025· 6 citedOpen Access
Synthetic Personas: Enhancing Demographic Response Simulation through Large Language Models and Genetic Algorithms
International Journal on Cybernetics & Informatics·2025Open Access
A Manifold Representation of the Key in Vision Transformers
Lecture notes in computer science·2025
Predicting Vehicle Impact Severity With Deep Neural Network for Reinforcement Learning Based Autonomous Vehicle Simulators
2024
PlanBERT: From Messy Zonal Plans to Informative Vector Embeddings
Lecture notes in computer science·2024· 1 cited
Optimizing Autonomous Vehicle Racing Using Reinforcement Learning with Pre-trained Embeddings for Dimensionality Reduction
Lecture notes in computer science·2024
NER Explainability Framework: Utilizing LIME to Enhance Clarity and Robustness in Named Entity Recognition
Lecture notes in computer science·2024
TRAPL: Transformer-Based Patch Learning for Enhancing Semantic Representations Using Aggregated Features to Estimate Patch-Class Distribution
Lecture notes in computer science·2024
Streamlining Attention for Text Classification: Sequence Length Reduction with Pooling Attention
Lecture notes in computer science·2024
A Dataset for Adapting Recommender Systems to the Fashion Rental Economy
2024· 2 citedOpen Access
Towards safe and sustainable reinforcement learning for real-time strategy games
Information Sciences·2024· 9 citedOpen Access
An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection
Applied Sciences·2024· 17 citedOpen Access
Maximum Manifold Capacity Representations in State Representation Learning
arXiv (Cornell University)·2024Open Access
Using AI to Empower Norwegian Agriculture: Attention-Based Multiple-Instance Learning Implementation
Agronomy·2024Open Access
Towards misinformation mitigation on social media: novel user activity representation for modeling societal acceptance
Journal of Computational Social Science·2024Open Access
Deep Reinforcement Learning with Swin Transformers
2024· 3 citedOpen Access
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Frequent Co-authors

Ole‐Christoffer Granmo(24), Lei Jiao(13), Rohan Kumar Yadav(6), Mohan Lal Kolhe(5), Nils Jakob Johannesen(4), Vimala Nunavath(4), Per‐Arne Andersen(4), Rupsa Saha(4), Jivitesh Sharma(3), Christian W. Omlin(3), Kristian Muri Knausgård(3), Jaziar Radianti(3), Anis Yazidi(3), Jahn Thomas Fidje(2), K. Darshana Abeyrathna(2), Sondre Glimsdal(2), Aditya Gupta(2), Micheal Dutt(2), Parvaneh Sarshar(2), Arne Wiklund(2)