23 citations · 52 across the 14 of their papers we have counts for
5 papers · 1 filter
Using infrared gas sensors in an in-vitro dynamic gut model for detecting short-chain fatty-acids: Technical Report
Martin Längkvist, Amy Loutfi, Igancio Rangel +2
Short-chain fatty acids (SCFAs), including acetate, propionate and butyrate, are organic fatty-acids that are produced when indigested carbohydrates are fermented in the colon by g…
Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations
Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson +5
Human-robot interaction often occurs in the form of instructions given from a human to a robot. For a robot to successfully follow instructions, a common representation of the worl…
Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
Marjan Alirezaie, Martin Längkvist, Michael Sioutis +1
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcom…
Interactive user interface based on Convolutional Auto-encoders for annotating CT-scans
Martin Längkvist, Jonas Widell, Per Thunberg +2
High resolution computed tomography (HRCT) is the most important imaging modality for interstitial lung diseases, where the radiologists are interested in identifying certain patte…
Semantic Relational Object Tracking
Andreas Persson, Pedro Zuidberg Dos Martires, Amy Loutfi +1
This paper addresses the topic of semantic world modeling by conjoining probabilistic reasoning and object anchoring. The proposed approach uses a so-called bottom-up object anchor…