Martin Längkvist

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 15

Top Topics

Convolutional Neural Networks

Computer Aided Detection

Geospatial Data

Top Venues

Publications

Cristina Landing, Xinrong Zhao, Martin Längkvist, Amy Loutfi
An Intelligent Monitoring Algorithm to Detect Dependencies between Test Cases in the Manual Integration Process. ICSTW (2023)
Samuel Blad, Martin Längkvist, Franziska Klügl, Amy Loutfi
Empirical analysis of the convergence of Double DQN in relation to reward sparsity. ICMLA (2022)
G. M. Atiqur Rahaman, Martin Längkvist, Amy Loutfi
Deep Learning based Aerial Image Segmentation for Computing Green Area Factor. EUVIP (2022)
Hugo Sjöqvist, Martin Längkvist, Farrukh Javed
An Analysis of Fast Learning Methods for Classifying Forest Cover Types. Appl. Artif. Intell. 34 (10) (2020)
Marjan Alirezaie, Martin Längkvist, Michael Sioutis, Amy Loutfi
Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation. CoRR (2019)
Marjan Alirezaie, Martin Längkvist, Michael Sioutis, Amy Loutfi
Semantic referee: A neural-symbolic framework for enhancing geospatial semantic segmentation. Semantic Web 10 (5) (2019)
Martin Längkvist, Jonas Widell, Per Thunberg, Amy Loutfi, Mats Lidén
Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans. CoRR (2019)
Martin Längkvist, Johan Jendeberg, Per Thunberg, Amy Loutfi, Mats Lidén
Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks. Comput. Biol. Medicine 97 (2018)
Martin Längkvist, Amy Loutfi
A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification. CoRR (2018)
Marjan Alirezaie, Andrey Kiselev, Franziska Klügl, Martin Längkvist, Amy Loutfi
Exploiting Context and Semantics for UAV Path-finding in an Urban Setting. AnSWeR@ESWC (2017)
Marjan Alirezaie, Andrey Kiselev, Martin Längkvist, Franziska Klügl, Amy Loutfi
An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring. Sensors 17 (11) (2017)
Andreas Persson, Martin Längkvist, Amy Loutfi
Learning Actions to Improve the Perceptual Anchoring of Objects. Frontiers Robotics AI 3 (2016)
Martin Längkvist, Andrey Kiselev, Marjan Alirezaie, Amy Loutfi
Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks. Remote. Sens. 8 (4) (2016)
Marjan Alirezaie, Martin Längkvist, Andrey Kiselev, Amy Loutfi
Open GeoSpatial Data as a Source of Ground Truth for Automated Labelling of Satellite Images. SDW@GIScience (2016)
Martin Längkvist, Amy Loutfi
Learning Feature Representations with a Cost-Relevant Sparse Autoencoder. Int. J. Neural Syst. 25 (1) (2015)
Martin Längkvist, Lars Karlsson, Amy Loutfi
A review of unsupervised feature learning and deep learning for time-series modeling. Pattern Recognit. Lett. 42 (2014)
Martin Längkvist, Silvia Coradeschi, Amy Loutfi, John Bosco Balaguru Rayappan
Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning. Sensors 13 (2) (2013)
Martin Längkvist, Lars Karlsson, Amy Loutfi
Sleep Stage Classification Using Unsupervised Feature Learning. Adv. Artif. Neural Syst. 2012 (2012)