Magnus Johnsson

发表

Using 3D GNG-based reconstruction for 6DoF egomotion

Diego Viejo, José García Rodríguez, Miguel Cazorla, 2011, The 2011 International Joint Conference on Neural Networks.

Hierarchical Self-organizing Maps System for Action Classification

Peter Gärdenfors, Magnus Johnsson, Zahra Gharaee, 2017, ICAART.

Sense of Touch in Robots With Self-Organizing Maps

Christian Balkenius, Magnus Johnsson, C. Balkenius, 2011, IEEE Transactions on Robotics.

Experiments with artificial haptic perception in a robotic hand

Christian Balkenius, Magnus Johnsson, C. Balkenius, 2006, J. Intell. Fuzzy Syst..

LUCS Haptic Hand II

Christian Balkenius, Magnus Johnsson, 2006 .

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

Christian Balkenius, Magnus Johnsson, C. Balkenius, 2010, J. Robotics.

Elecronic Wallet - Utveckling av en digital plånbok sett ur ett användarperspektiv

Magnus Johnsson, Markus Isaksson, 2008 .

Touch Perception with SOM, Growing Cell Structures and Growing Grids

Christian Balkenius, David Gil Méndez, Magnus Johnsson, 2008 .

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

David Gil Méndez, Magnus Johnsson, Juan Manuel García Chamizo, 2010, DCAI.

Supervised Architectures for Internal Simulation of Perceptions and Actions

Christian Balkenius, Magnus Johnsson, David Gil, 2010, BICS 2010.

Application of artificial neural networks in the diagnosis of urological dysfunctions

David Gil Méndez, Magnus Johnsson, Juan Manuel García Chamizo, 2009, Expert Syst. Appl..

Experiments with Self-Organizing Systems for Texture and Hardness Perception

Christian Balkenius, Magnus Johnsson, 2009 .

Fuzzy system for urological dysfunctions diagnosis

Magnus Johnsson, Antonio Soriano Payá, Daniel Ruiz Fernández, 2009, HEALTHINF 2009.

Recognizing actions with the associative self-organizing map

Magnus Johnsson, Haris Dindo, Miriam Buonamente, 2013, 2013 XXIV International Conference on Information, Communication and Automation Technologies (ICAT).

Diagnosing Parkinson by using artificial neural networks and support vector machines

Magnus Johnsson, David Gil, Magnus Johnsson, 2009 .

Discriminating and simulating actions with the associative self-organising map

Magnus Johnsson, Haris Dindo, Miriam Buonamente, 2015, Connect. Sci..

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

Peter Gärdenfors, Magnus Johnsson, Zahra Gharaee, 2017, Appl. Soft Comput..

Associating SOM Representations of Haptic Submodalities

Christian Balkenius, Magnus Johnsson, 2008 .

Supervised SOM Based Architecture versus Multilayer Perceptron and RBF Networks

Magnus Johnsson, David Gil, 2010 .

Title: SEMEN PARAMETERS CAN BE PREDICTED FROM ENVIRONMENTAL FACTORS AND LIFESTYLE USING ARTIFICIAL INTELLIGENCE METHODS Short Title: Predicting Semen Quality with Neural Networks

Magnus Johnsson, David Gil, Jose L. Girela, 2013 .

Ikaros: Building cognitive models for robots

Christian Balkenius, Birger Johansson, Magnus Johnsson, 2010, Adv. Eng. Informatics.

Associative Self-organizing Map

Christian Balkenius, Magnus Johnsson, Germund Hesslow, 2009, IJCCI.

Predicting seminal quality with artificial intelligence methods

David Gil Méndez, Magnus Johnsson, Jose Luis Girela, 2012, Expert Syst. Appl..

Mechanisms, Symbols, and Models Underlying Cognition: First International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005, Proceedings, Part I

Christian Balkenius, Magnus Johnsson, Robert Pallbo, 2005, IWINAC.

Experiments with Haptic Perception in a Robotic Hand

Christian Balkenius, Magnus Johnsson, Robert Pallbo, 2005 .

Architecture to Serve Disabled and Elderly

Magnus Johnsson, Miriam Buonamente, 2012, BICA.

Multimodal System Based on Self-Organizing Maps

Christian Balkenius, Magnus Johnsson, Germund Hesslow, 2011 .

Simulating music with associative self-organizing maps

Magnus Johnsson, Antonio Chella, Haris Dindo, 2016, BICA 2018.

Chapter 5 - Support vector machines in medical classification tasks

Magnus Johnsson, David Gil, 2011 .

Simulating Actions with the Associative Self-Organizing Map

Magnus Johnsson, Haris Dindo, Miriam Buonamente, 2013, AIC@AI*IA.

A Self-Organizing Object Recognition System Based on Proprioception

Christian Balkenius, Magnus Johnsson, 2008 .

Artificial Neural Networks for Diagnoses of Dysfunctions in Urology

David Gil Méndez, Magnus Johnsson, Antonio Soriano Payá, 2008, HEALTHINF.

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

Diego Viejo, José García Rodríguez, Miguel Cazorla, 2012, Neural Networks.

SARASOM: a supervised architecture based on the recurrent associative SOM

José García Rodríguez, Miguel Cazorla, David Gil Méndez, 2014, Neural Computing and Applications.

Using support vector machines in diagnoses of urological dysfunctions

David Gil Méndez, Magnus Johnsson, Magnus Johnsson, 2010, Expert Syst. Appl..

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

Julian Szymanski, Magnus Johnsson, David Gil, 2019, Complex..

Recognizing texture and hardness by touch

Christian Balkenius, Magnus Johnsson, C. Balkenius, 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

A Haptic System for the Lucs Haptic Hand I

Christian Balkenius, Magnus Johnsson, Robert Pallbo, 2005, IWINAC.

A Robot Hand with T-MPSOM Neural Networks in a Model of the Human Haptic System

Christian Balkenius, Magnus Johnsson, C. Balkenius, 2006 .

Collaborative Working Architecture for IoT-Based Applications†

Magnus Johnsson, David Gil, Higinio Mora Mora, 2018, Sensors.

Neural Network Architecture for Crossmodal Activation and Perceptual Sequences

Christian Balkenius, Magnus Johnsson, Germund Hesslow, 2009, AAAI Fall Symposium: Biologically Inspired Cognitive Architectures.

Hierarchies of Self-Organizing Maps for action recognition

Magnus Johnsson, Haris Dindo, Miriam Buonamente, 2016, Cognitive Systems Research.

Internal Simulation of an Agent's Intentions

Magnus Johnsson, Miriam Buonamente, 2012, BICA.

Action Recognition Online with Hierarchical Self-Organizing Maps

Peter Gärdenfors, Magnus Johnsson, Zahra Gharaee, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Applications of Self-Organizing Maps

Magnus Johnsson, Magnus Johnsson, 2012 .

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

Julian Szymanski, Magnus Johnsson, David Gil, 2019, Complex..

Internal simulation of perceptions and actions.

Magnus Johnsson, David Gil, 2011, Advances in experimental medicine and biology.

Action Classification and Simulation with Hierarchical Self-Organizing Maps

Peter Gärdenfors, Magnus Johnsson, Zahra Gharaee, 2016 .

Sense of Touch in Robots

Magnus Johnsson, 2009 .

Action Recognition based on Hierarchical Self-Organizing Maps

Magnus Johnsson, Haris Dindo, Miriam Buonamente, 2014, AIC.

Internal Simulation in a Bimodal System

Christian Balkenius, David Gil Méndez, Magnus Johnsson, 2011, SCAI.

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

David Gil Méndez, Magnus Johnsson, Juan Manuel García Chamizo, 2011, Appl. Soft Comput..

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

José García Rodríguez, Miguel Cazorla, David Gil Méndez, 2011, The 2011 International Joint Conference on Neural Networks.

Haptic Perception with a Robotic Hand

Christian Balkenius, Magnus Johnsson, C. Balkenius, 2006 .

Förstudie av motströms koaxialvärmeväxlare till Huddinge sjukhus

Magnus Johnsson, Viktor Svantesson Romanov, 2014 .

Neural network models of haptic shape perception

Christian Balkenius, Magnus Johnsson, C. Balkenius, 2007, Robotics Auton. Syst..

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

Magnus Johnsson, Javier Medina-Quero, Aurora Polo-Rodriguez, 2021 .

Identifying cheating behaviour with machine learning

Magnus Johnsson, Elina Kock, Yamma Sarwari, 2021, 2021 Swedish Artificial Intelligence Society Workshop (SAIS).

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

Magnus Johnsson, Julian Szymański, Jesús Peral, 2021 .

Semen Parameters Can Be Predicted from Environmental Factors and Lifestyle Using Artificial Intelligence Methods1

Magnus Johnsson, David Gil, Magnus Johnsson, 2013, Biology of reproduction.