Magnus Johnsson

According to our database, Magnus Johnsson authored at least 40 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models.

Carl Sandelius, Athanasios Pappas, Arezoo Sarkheyli-Hägele, Andreas Heuer, Magnus Johnsson

Proceedings of the 16th International Joint Conference on Computational Intelligence, 2024

2023

New Trends in Machine Learning Techniques for Human Activity Recognition Using Multimodal Sensors.

Jesús González Lama, Alicia Montoro, Macarena Espinilla, Juan Carlos Valera, David Gil, Jesús Peral, Magnus Johnsson

Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023

2021

Online Recognition of Actions Involving Objects.

Zahra Gharaee, Peter Gärdenfors, Magnus Johnsson

CoRR, 2021

Identifying cheating behaviour with machine learning.

Elina Kock, Yamma Sarwari, Nancy Russo, Magnus Johnsson

Proceedings of the Swedish Artificial Intelligence Society Workshop, 2021

A Mobile Application with Geolocation and Virtual Rewards for Promoting Social Skills in People with Social Disorders.

Aurora Polo Rodríguez, Javier Medina Quero, Magnus Johnsson, David Gil, Ignasi Navarro

Proceedings of the Research and Innovation Forum 2021: Managing Continuity, 2021

Architecture Based on Machine Learning Techniques and Data Mining for Prediction of Indicators in the Diagnosis and Intervention of Autistic Spectrum Disorder.

David Gil, Magnus Johnsson, Julian Szymanski, Jesús Peral, Mohan Tanniru

Proceedings of the Research and Innovation Forum 2021: Managing Continuity, 2021

2019

Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems.

David Gil, Magnus Johnsson, Higinio Mora Mora, Julian Szymanski

Complex., 2019

Review of the Complexity of Managing Big Data of the Internet of Things.

David Gil, Magnus Johnsson, Higinio Mora Mora, Julian Szymanski

Complex., 2019

2018

Collaborative Working Architecture for IoT-Based Applications.

Higinio Mora Mora, María Teresa Signes Pont, David Gil, Magnus Johnsson

Sensors, 2018

2017

First and second order dynamics in a hierarchical SOM system for action recognition.

Zahra Gharaee, Peter Gärdenfors, Magnus Johnsson

Appl. Soft Comput., 2017

Hierarchical Self-organizing Maps System for Action Classification.

Zahra Gharaee, Peter Gärdenfors, Magnus Johnsson

Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017

2016

Hierarchies of Self-Organizing Maps for action recognition.

Miriam Buonamente, Haris Dindo, Magnus Johnsson

Cogn. Syst. Res., 2016

Action Recognition Online with Hierarchical Self-Organizing Maps.

Zahra Gharaee, Peter Gärdenfors, Magnus Johnsson

Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

2015

SARASOM: a supervised architecture based on the recurrent associative SOM.

David Gil Méndez, José García Rodríguez, Miguel Cazorla, Magnus Johnsson

Neural Comput. Appl., 2015

Discriminating and simulating actions with the associative self-organising map.

Miriam Buonamente, Haris Dindo, Magnus Johnsson

Connect. Sci., 2015

2014

Action Recognition based on Hierarchical Self-Organizing Maps.

Miriam Buonamente, Haris Dindo, Magnus Johnsson

Proceedings of the Second International Workshop on Artificial Intelligence and Cognition (AIC 2014), 2014

2013

Recognizing actions with the associative self-organizing map.

Miriam Buonamente, Haris Dindo, Magnus Johnsson

Proceedings of the XXIV International Symposium on Information, 2013

Simulating Actions with the Associative Self-Organizing Map.

Miriam Buonamente, Haris Dindo, Magnus Johnsson

Proceedings of the First International Workshop on Artificial Intelligence and Cognition (AIC 2013) An official workshop of the 13th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2012

Using GNG to improve 3D feature extraction - Application to 6DoF egomotion.

Diego Viejo, José García Rodríguez, Miguel Cazorla, David Gil Méndez, Magnus Johnsson

Neural Networks, 2012

Predicting seminal quality with artificial intelligence methods.

David Gil Méndez, Jose Luis Girela, Joaquín de Juan, M. Jose Gomez-Torres, Magnus Johnsson

Expert Syst. Appl., 2012

Internal Simulation of an Agent's Intentions.

Magnus Johnsson, Miriam Buonamente

Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012

Architecture to Serve Disabled and Elderly.

Miriam Buonamente, Magnus Johnsson

Proceedings of the Biologically Inspired Cognitive Architectures 2012 - Proceedings of the Third Annual Meeting of the BICA Society, Palermo, Sicily, Italy, October 31, 2012

2011

Sense of Touch in Robots With Self-Organizing Maps.

Magnus Johnsson, Christian Balkenius

IEEE Trans. Robotics, 2011

Modelling of urological dysfunctions with neurological etiology by means of their centres involved.

David Gil Méndez, Magnus Johnsson, Juan Manuel García Chamizo, Antonio Soriano Payá, Daniel Ruiz Fernández

Appl. Soft Comput., 2011

Internal Simulation in a Bimodal System.

Magnus Johnsson, David Gil Méndez, Germund Hesslow, Christian Balkenius

Proceedings of the Eleventh Scandinavian Conference on Artificial Intelligence, 2011

Using 3D GNG-based reconstruction for 6DoF egomotion.

Diego Viejo, José García Rodríguez, Miguel Cazorla, David Gil Méndez, Magnus Johnsson

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Predictions tasks with words and sequences: Comparing a novel recurrent architecture with the Elman network.

David Gil Méndez, José García Rodríguez, Miguel Cazorla, Magnus Johnsson

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Haptic Perception with Self-Organizing ANNs and an Anthropomorphic Robot Hand.

Magnus Johnsson, Christian Balkenius

J. Robotics, 2010

Using support vector machines in diagnoses of urological dysfunctions.

David Gil Méndez, Magnus Johnsson

Expert Syst. Appl., 2010

Ikaros: Building cognitive models for robots.

Christian Balkenius, Jan Morén, Birger Johansson, Magnus Johnsson

Adv. Eng. Informatics, 2010

Decision Support System for the Diagnosis of Urological Dysfunctions Based on Fuzzy Logic.

David Gil Méndez, Magnus Johnsson, Juan Manuel García Chamizo, Antonio Soriano Payá, Daniel Ruiz Fernández

Proceedings of the Distributed Computing and Artificial Intelligence, 2010

2009

Sense of Touch in Robots.

Magnus Johnsson

PhD thesis, 2009

Application of artificial neural networks in the diagnosis of urological dysfunctions.

David Gil Méndez, Magnus Johnsson, Juan Manuel García Chamizo, Antonio Soriano Payá, Daniel Ruiz Fernández

Expert Syst. Appl., 2009

Associative Self-organizing Map.

Magnus Johnsson, Christian Balkenius, Germund Hesslow

Proceedings of the IJCCI 2009, 2009

Neural Network Architecture for Crossmodal Activation and Perceptual Sequences.

Magnus Johnsson, Christian Balkenius, Germund Hesslow

Proceedings of the Biologically Inspired Cognitive Architectures, 2009

2008

Recognizing texture and hardness by touch.

Magnus Johnsson, Christian Balkenius

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Artificial Neural Networks for Diagnoses of Dysfunctions in Urology.

David Gil Méndez, Magnus Johnsson, Antonio Soriano Payá, Daniel Ruiz Fernández

Proceedings of the First International Conference on Health Informatics, 2008

2007

Neural network models of haptic shape perception.

Magnus Johnsson, Christian Balkenius

Robotics Auton. Syst., 2007

2006

Experiments with artificial haptic perception in a robotic hand.

Magnus Johnsson, Christian Balkenius

J. Intell. Fuzzy Syst., 2006

2005

A Haptic System for the Lucs Haptic Hand I.

Magnus Johnsson, Robert Pallbo, Christian Balkenius

Proceedings of the Mechanisms, 2005