ProfessorsProfessors of Örebro UniversitetMartin Längkvist

Martin Längkvist

Örebro Universitet

H-index: 13

Europe-Sweden

About Martin Längkvist

Martin Längkvist, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at Örebro Universitet, specializes in the field of machine learning, deep learning, unsupervised feature learning.

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

Neural network approach for shape-based euhedral pyrite identification in X-ray CT data with adversarial unsupervised domain adaptation

AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries

Utilization of Computer Classification Methods for Exposure Prediction and Gene Selection in Daphnia magna Toxicogenomics

An intelligent monitoring algorithm to detect dependencies between test cases in the manual integration process

Deep Learning based Aerial Image Segmentation for Computing Green Area Factor

Empirical analysis of the convergence of Double DQN in relation to reward sparsity

An analysis of fast learning methods for classifying forest cover types

Performance comparison of two deep learning algorithms in detecting similarities between manual integration test cases

Martin Längkvist Information

University	Örebro Universitet
Position	PhD Information Technology AASS Machine Perception and Interaction Lab
Citations(all)	2427
Citations(since 2020)	1701
Cited By	1550
hIndex(all)	13
hIndex(since 2020)	12
i10Index(all)	15
i10Index(since 2020)	14
Email	Access Email
University Profile Page	Örebro Universitet
Google Scholar	View Google Scholar Profile

Martin Längkvist Skills & Research Interests

machine learning

deep learning

unsupervised feature learning

Top articles of Martin Längkvist

Title	Journal	Author(s)	Publication Date
Neural network approach for shape-based euhedral pyrite identification in X-ray CT data with adversarial unsupervised domain adaptation	Applied Computing and Geosciences	Suraj Neelakantan Jesper Norell Alexander Hansson Martin Längkvist Amy Loutfi	2024/1/4
AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries		Erik Engberg Holger Görg Magnus Lodefalk Farrukh Javed Martin Längkvist ...	2024/1
Utilization of Computer Classification Methods for Exposure Prediction and Gene Selection in Daphnia magna Toxicogenomics	Biology	Berkay Paylar Martin Längkvist Jana Jass Per-Erik Olsson	2023/5/9
An intelligent monitoring algorithm to detect dependencies between test cases in the manual integration process		Cristina Landin Xinrong Zhao Martin Längkvist Amy Loutfi	2023/4/16
Deep Learning based Aerial Image Segmentation for Computing Green Area Factor		GM Atiqur Rahaman Martin Längkvist Amy Loutfi	2022/9/11
Empirical analysis of the convergence of Double DQN in relation to reward sparsity		Samuel Blad Martin Längkvist Franziska Klugl Amy Loutfi	2022/12/12
An analysis of fast learning methods for classifying forest cover types	Applied Artificial Intelligence	Hugo Sjöqvist Martin Längkvist Farrukh Javed	2020/8/23
Performance comparison of two deep learning algorithms in detecting similarities between manual integration test cases		Cristina Landin Leo Hatvani Sahar Tahvili Hugo Haggren Martin Längkvist ...	2020
Learning Generative Image Manipulations from Language Instructions		Martin Längkvist Andreas Persson Amy Loutfi	2020