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Amy Loutfi   Dr.  Senior Scientist or Principal Investigator 
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Amy Loutfi published an article in November 2018.
Top co-authors See all
John Bosco Balaguru Rayappan

217 shared publications

Nano Sensors Lab @ Centre for Nanotechnology and Advanced Biomaterials (CeNTAB)

Franziska Klügl

69 shared publications

School of Natural Science and Technology, Örebro University, Örebro, Sweden

Britta Wrede

60 shared publications

Bielefeld University, Bielefeld, Germany

Maria Lindén

43 shared publications

School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden

Eva Blomqvist

41 shared publications

Linköping University, Linköping, Sweden

97
Publications
5
Reads
0
Downloads
273
Citations
Publication Record
Distribution of Articles published per year 
(2001 - 2018)
Total number of journals
published in
 
39
 
Publications See all
Article 0 Reads 0 Citations Data-driven Conceptual Spaces: Creating Semantic Representations For Linguistic Descriptions Of Numerical Data Hadi Banaee, Erik Schaffernicht, Amy Loutfi Published: 29 November 2018
Journal of Artificial Intelligence Research, doi: 10.1613/jair.1.11258
DOI See at publisher website ABS Show/hide abstract
There is an increasing need to derive semantics from real-world observations to facilitate natural information sharing between machine and human. Conceptual spaces theory is a possible approach and has been proposed as mid-level representation between symbolic and sub-symbolic representations, whereby concepts are represented in a geometrical space that is characterised by a number of quality dimensions. Currently, much of the work has demonstrated how conceptual spaces are created in a knowledge-driven manner, relying on prior knowledge to form concepts and identify quality dimensions. This paper presents a method to create semantic representations using data-driven conceptual spaces which are then used to derive linguistic descriptions of numerical data. Our contribution is a principled approach to automatically construct a conceptual space from a set of known observations wherein the quality dimensions and domains are not known a priori. This novelty of the approach is the ability to select and group semantic features to discriminate between concepts in a data-driven manner while preserving the semantic interpretation that is needed to infer linguistic descriptions for interaction with humans. Two data sets representing leaf images and time series signals are used to evaluate the method. An empirical evaluation for each case study assesses how well linguistic descriptions generated from the conceptual spaces identify unknown observations. Furthermore, comparisons are made with descriptions derived on alternative approaches for generating semantic models.
BOOK-CHAPTER 0 Reads 0 Citations The Relevance of Social Cues in Assistive Training with a Social Robot Neziha Akalin, Andrey Kiselev, Annica Kristoffersson, Amy Lo... Published: 27 November 2018
Membrane Computing, doi: 10.1007/978-3-030-05204-1_45
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Assisted Telemanipulation: A Stack-Of-Tasks Approach to Remote Manipulator Control Todor Stoyanov, Robert Krug, Andrey Kiselev, Da Sun, Amy Lou... Published: 01 October 2018
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), doi: 10.1109/iros.2018.8594457
DOI See at publisher website
REPORT-SERIES 0 Reads 0 Citations An Elephant in the Dark: Creating Semantic Representations of Perceived Data with Conceptual Spaces Hadi Banaee, Erik Schaffernicht, Amy Loutfi Published: 14 July 2018
EasyChair Preprints, doi: 10.29007/twv9
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 0 Citations Enhancing Social Human-Robot Interaction with Deep Reinforcement Learning Neziha Akalin, Andrey Kiselev, Annica Kristoffersson, Amy Lo... Published: 14 July 2018
FAIM/ISCA Workshop on Artificial Intelligence for Multimodal Human Robot Interaction, doi: 10.21437/ai-mhri.2018-12
DOI See at publisher website
Article 0 Reads 0 Citations Computer aided detection of ureteral stones in thin slice computed tomography volumes using Convolutional Neural Network... Martin Längkvist, Johan Jendeberg, Per Thunberg, Amy Loutfi,... Published: 01 June 2018
Computers in Biology and Medicine, doi: 10.1016/j.compbiomed.2018.04.021
DOI See at publisher website
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