Martin Längkvist

Örebro University — Sweden

Engineering · Physical Sciences

11h-index2.1kcitations43works3.02yr avg
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Research Topics

Advanced Chemical Sensor Technologies(6), Remote-Sensing Image Classification(4), Anomaly Detection Techniques and Applications(4), Time Series Analysis and Forecasting(4), Mineral Processing and Grinding(4)

Publications43 total

Human-in-the-loop dual-branch architecture for image super-resolution
Journal of Visual Communication and Image Representation·2026
Who is afraid of AI? Who should be?
Econstor (Econstor)·2026
Generative to Discriminative Knowledge Distillation for Object Affordance
2025· 1 cited
Human-in-The-Loop Dual-Branch Architecture for Image Super-Resolution
SSRN Electronic Journal·2025Open Access
Domain-Aware Tabular Data Augmentation Using Large Language Models
Örebro University Library (Örebro University)·2025Open Access
Machine Learning for Lithology Analysis using a Multi-Modal Approach of Integrating XRF and XCT data
Linköping electronic conference proceedings·2024Open Access
Deep learning based automated estimation of urban green space index from satellite image: A case study
Urban forestry & urban greening·2024· 17 citedOpen Access
Affordance-Based Goal Imagination for Embodied AI Agents
2024
Neural network approach for shape-based euhedral pyrite identification in X-ray CT data with adversarial unsupervised domain adaptation
Applied Computing and Geosciences·2024· 2 citedOpen Access
AI Unboxed and Jobs: A Novel Measure and Firm-Level Evidence from Three Countries
SSRN Electronic Journal·2024· 10 citedOpen Access
Utilization of Computer Classification Methods for Exposure Prediction and Gene Selection in Daphnia magna Toxicogenomics
Biology·2023· 2 citedOpen Access
An Intelligent Monitoring Algorithm to Detect Dependencies between Test Cases in the Manual Integration Process
2023· 3 cited
Neural Network Approach for Shape-Based Euhedral Pyrite Identification in X-Ray Ct Data with Adversarial Unsupervised Domain Adaptation
SSRN Electronic Journal·2023Open Access
Empirical analysis of the convergence of Double DQN in relation to reward sparsity
2022· 1 cited
Deep Learning based Aerial Image Segmentation for Computing Green Area Factor
2022· 6 cited
An Analysis of Fast Learning Methods for Classifying Forest Cover Types
Applied Artificial Intelligence·2020· 14 citedOpen Access
Learning Generative Image Object Manipulations from Language Instructions
2019
Semantic referee: A neural-symbolic framework for enhancing geospatial semantic segmentation
Semantic Web·2019· 3 citedOpen Access
Using infrared gas sensors in an in-vitro dynamic gut model for detecting short-chain fatty-acids: Technical Report
arXiv (Cornell University)·2019Open Access
Using infrared gas sensors in an in-vitro dynamic gut model for\n detecting short-chain fatty-acids: Technical Report
arXiv (Cornell University)·2019· 1 citedOpen Access
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Frequent Co-authors

Amy Loutfi(35), Marjan Alirezaie(8), Suraj Neelakantan(6), Andrey Kiselev(5), Andreas Persson(4), Lars Karlsson(3), Per Thunberg(3), Mats Lidén(3), Franziska Klügl(3), Michael Sioutis(3), Jesper Norell(3), Alexander Hansson(3), Johan Jendeberg(2), John Bosco Balaguru Rayappan(2), G. M. Atiqur Rahaman(2), Farrukh Javed(2), Natália P. Monteiro(2), Victor Aregbede(2), Igancio Rangel(2), Johnny Karlsson(2)