Martin Längkvist

26 papers C 1Journal 15Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Human-in-the-loop dual-branch architecture for image super-resolution. J. Vis. Commun. Image Represent. Suraj Neelakantan, Martin Längkvist, Amy Loutfi
2026	J	`jnl`	LAP: A Language-Aware Planning Model For Procedure Planning In Instructional Videos. CoRR Lei Shi, Victor Aregbede, Andreas Persson, Martin Längkvist, Amy Loutfi, Stephanie Lowry
2025	—	`conf`	Generative to Discriminative Knowledge Distillation for Object Affordance. ICDL Victor Aregbede, Alkis Sygkounas, Andreas Persson, Martin Längkvist, Amy Loutfi
2024	—	`conf`	Affordance-Based Goal Imagination for Embodied AI Agents. ICDL Victor Aregbede, Savitha Sam Abraham, Andreas Persson, Martin Längkvist, Amy Loutfi
2024	—	`conf`	Machine Learning for Lithology Analysis using a Multi-Modal Approach of Integrating XRF and XCT data. SCAI Suraj Neelakantan, Alexander Hansson, Jesper Norell, Johan Schött, Martin Längkvist, Amy Loutfi
2023	—	`conf`	An Intelligent Monitoring Algorithm to Detect Dependencies between Test Cases in the Manual Integration Process. ICSTW Cristina Landing, Xinrong Zhao, Martin Längkvist, Amy Loutfi
2022	—	`conf`	Deep Learning based Aerial Image Segmentation for Computing Green Area Factor. EUVIP G. M. Atiqur Rahaman, Martin Längkvist, Amy Loutfi
2022	C	`conf`	Empirical analysis of the convergence of Double DQN in relation to reward sparsity. ICMLA Samuel Blad, Martin Längkvist, Franziska Klügl, Amy Loutfi
2020	J	`jnl`	An Analysis of Fast Learning Methods for Classifying Forest Cover Types. Appl. Artif. Intell. Hugo Sjöqvist, Martin Längkvist, Farrukh Javed
2020	—	`conf`	Cluster-Based Parallel Testing Using Semantic Analysis. AITest Cristina Landing, Sahar Tahvili, Hugo Haggren, Martin Längkvist, Auwn Muhammad, Amy Loutfi
2020	—	`ch.`	Knowledge Representation and Reasoning Methods to Explain Errors in Machine Learning. Knowledge Graphs for eXplainable Artificial Intelligence Marjan Alirezaie, Martin Längkvist, Amy Loutfi
2019	J	`jnl`	Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans. CoRR Martin Längkvist, Jonas Widell, Per Thunberg, Amy Loutfi, Mats Lidén
2019	J	`jnl`	Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation. CoRR Marjan Alirezaie, Martin Längkvist, Michael Sioutis, Amy Loutfi
2019	J	`jnl`	Semantic referee: A neural-symbolic framework for enhancing geospatial semantic segmentation. Semantic Web Marjan Alirezaie, Martin Längkvist, Michael Sioutis, Amy Loutfi
2018	J	`jnl`	A Deep Learning Approach with an Attention Mechanism for Automatic Sleep Stage Classification. CoRR Martin Längkvist, Amy Loutfi
2018	J	`jnl`	Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Networks. Comput. Biol. Medicine Martin Längkvist, Johan Jendeberg, Per Thunberg, Amy Loutfi, Mats Lidén
2017	J	`jnl`	An Ontology-Based Reasoning Framework for Querying Satellite Images for Disaster Monitoring. Sensors Marjan Alirezaie, Andrey Kiselev, Martin Längkvist, Franziska Klügl, Amy Loutfi
2017	—	`conf`	Exploiting Context and Semantics for UAV Path-finding in an Urban Setting. AnSWeR@ESWC Marjan Alirezaie, Andrey Kiselev, Franziska Klügl, Martin Längkvist, Amy Loutfi
2016	J	`jnl`	Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks. Remote. Sens. Martin Längkvist, Andrey Kiselev, Marjan Alirezaie, Amy Loutfi
2016	J	`jnl`	Learning Actions to Improve the Perceptual Anchoring of Objects. Frontiers Robotics AI Andreas Persson, Martin Längkvist, Amy Loutfi
2016	—	`conf`	Open GeoSpatial Data as a Source of Ground Truth for Automated Labelling of Satellite Images. SDW@GIScience Marjan Alirezaie, Martin Längkvist, Andrey Kiselev, Amy Loutfi
2015	J	`jnl`	Learning Feature Representations with a Cost-Relevant Sparse Autoencoder. Int. J. Neural Syst. Martin Längkvist, Amy Loutfi
2014	J	`jnl`	A review of unsupervised feature learning and deep learning for time-series modeling. Pattern Recognit. Lett. Martin Längkvist, Lars Karlsson, Amy Loutfi
2014	—	`—`	Modeling time-series with deep networks. Martin Längkvist
2013	J	`jnl`	Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning. Sensors Martin Längkvist, Silvia Coradeschi, Amy Loutfi, John Bosco Balaguru Rayappan
2012	J	`jnl`	Sleep Stage Classification Using Unsupervised Feature Learning. Adv. Artif. Neural Syst. Martin Längkvist, Lars Karlsson, Amy Loutfi