{"id":9,"date":"2015-08-04T11:43:08","date_gmt":"2015-08-04T11:43:08","guid":{"rendered":"http:\/\/nhrg02n.unil.ch\/icann2016.org\/public_html\/?page_id=2"},"modified":"2019-11-12T17:02:20","modified_gmt":"2019-11-12T15:02:20","slug":"sample-page-2","status":"publish","type":"page","link":"https:\/\/e-nns.org\/icann2019\/","title":{"rendered":"Home"},"content":{"rendered":"\n
17th – 19th September, 2019, Munich, Germany<\/strong><\/p>\n\n\n\n<\/figure><\/div>\n\n\n\nThe 28th International Conference on Artificial Neural Networks.A conference of the European Neural Network Society<\/a>.<\/p>\n\n\n\n<\/div>\n\n\n\n\n\n\n\n<\/figure><\/div>\n\n\n\nConference proceedings are published by Springer in Lecture Notes in Computer Science.<\/p>\n\n\n\n<\/div>\n\n\n\nThe proceedings are now published as Springer Lecture Notes in Computer Science Series, volumes 11727<\/a>, 11728<\/a>, 11729<\/a>, 11730<\/a>, and 11731<\/a>.<\/p>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/div>\n\n\n\nNews:<\/strong><\/p>\n\n\n\nICANN 2020 will be in Bratislava, Slovakia, September 15-18, 2020. Please find the announcement here<\/a>.<\/li>ICANN2019 and Springer Open Access collaboration<\/strong>. The authors of articles\/abstracts submitted to the BIGCHEM Special Session<\/a> are qualified for a 25% discount on the journal\u2019s article-processing charge for the special issue of J. Cheminformatics<\/a>. To be qualified for the discount one of the authors should participate to the ICANN2019 and the article should be submitted to the special issue before the start of the conference. The article submitted to J. Cheminformatics will be fully peer-reviewed and should comply to the usual publishing ethics.<\/li><\/ul>\n\n\n\nThe International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.<\/p>\n\n\n\nSponsors<\/h3>\n\n\n\nPlatinum sponsors<\/h4>\n\n\n\n<\/figure><\/div>\n\n\n\n\n\n\n\nBronze Sponsors<\/h4>\n\n\n\n<\/figure><\/div>\n\n\n\nConference topics<\/h3>\n\n\n\nICANN 2019 will feature two main tracks: Brain inspired computing and Machine learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the Conference<\/p>\n\n\n\nDeep Learning<\/h4>\n\n\n\nNeural Network Theory<\/li>Neural Network Models<\/li>Graphical Models<\/li>Bayesian Networks<\/li>Kernel Methods<\/li>Generative Models<\/li>Information Theoretic Learning<\/li>Reinforcement Learning<\/li>Relational Learning<\/li>Dynamical Models<\/li>Recurrent Networks.<\/li><\/ul>\n\n\n\nBrain Inspired Computing<\/h4>\n\n\n\nCognitive models<\/li>Computational Neuroscience<\/li>Self-organisation<\/li>Reinforcement Learning<\/li>Neural Control and Planning<\/li>Hybrid Neural-Symbolic Architectures<\/li>Neural Dynamics <\/li><\/ul>\n\n\n\nNeural Applications for<\/h4>\n\n\n\nBioinformatics<\/li>Biomedicine<\/li>Intelligent Robotics<\/li>Neurorobotics<\/li>Language Processing<\/li>Image Processing<\/li>Sensor Fusion<\/li>Pattern Recognition<\/li>Data Mining<\/li>Neural Agents<\/li>Brain-Computer Interaction<\/li>Neural Hardware<\/li>Evolutionary Neural Networks<\/li><\/ul>\n\n\n\nSpecial Session BIGCHEM: Big Data and AI in chemistry<\/h4>\n\n\n\nBig Data analysis in chemistry<\/li>Chemoinformatics<\/li>Use of deep learning to predict molecular properties<\/li>Drug-discovery<\/li>Modelling and prediction of chemical reaction data<\/li>Synthetic route prediction<\/li>Structure generation<\/li>Molecular dynamics simulations and quantum chemistry<\/li><\/ul>\n\n\n\n<\/p>\n\n\n\nTwitter feedTweets by EuNeuralNetSoc<\/a>
The 28th International Conference on Artificial Neural Networks.A conference of the European Neural Network Society<\/a>.<\/p>\n\n\n\n<\/div>\n\n\n\n\n\n\n\n<\/figure><\/div>\n\n\n\nConference proceedings are published by Springer in Lecture Notes in Computer Science.<\/p>\n\n\n\n<\/div>\n\n\n\nThe proceedings are now published as Springer Lecture Notes in Computer Science Series, volumes 11727<\/a>, 11728<\/a>, 11729<\/a>, 11730<\/a>, and 11731<\/a>.<\/p>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/div>\n\n\n\nNews:<\/strong><\/p>\n\n\n\nICANN 2020 will be in Bratislava, Slovakia, September 15-18, 2020. Please find the announcement here<\/a>.<\/li>ICANN2019 and Springer Open Access collaboration<\/strong>. The authors of articles\/abstracts submitted to the BIGCHEM Special Session<\/a> are qualified for a 25% discount on the journal\u2019s article-processing charge for the special issue of J. Cheminformatics<\/a>. To be qualified for the discount one of the authors should participate to the ICANN2019 and the article should be submitted to the special issue before the start of the conference. The article submitted to J. Cheminformatics will be fully peer-reviewed and should comply to the usual publishing ethics.<\/li><\/ul>\n\n\n\nThe International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.<\/p>\n\n\n\nSponsors<\/h3>\n\n\n\nPlatinum sponsors<\/h4>\n\n\n\n<\/figure><\/div>\n\n\n\n\n\n\n\nBronze Sponsors<\/h4>\n\n\n\n<\/figure><\/div>\n\n\n\nConference topics<\/h3>\n\n\n\nICANN 2019 will feature two main tracks: Brain inspired computing and Machine learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the Conference<\/p>\n\n\n\nDeep Learning<\/h4>\n\n\n\nNeural Network Theory<\/li>Neural Network Models<\/li>Graphical Models<\/li>Bayesian Networks<\/li>Kernel Methods<\/li>Generative Models<\/li>Information Theoretic Learning<\/li>Reinforcement Learning<\/li>Relational Learning<\/li>Dynamical Models<\/li>Recurrent Networks.<\/li><\/ul>\n\n\n\nBrain Inspired Computing<\/h4>\n\n\n\nCognitive models<\/li>Computational Neuroscience<\/li>Self-organisation<\/li>Reinforcement Learning<\/li>Neural Control and Planning<\/li>Hybrid Neural-Symbolic Architectures<\/li>Neural Dynamics <\/li><\/ul>\n\n\n\nNeural Applications for<\/h4>\n\n\n\nBioinformatics<\/li>Biomedicine<\/li>Intelligent Robotics<\/li>Neurorobotics<\/li>Language Processing<\/li>Image Processing<\/li>Sensor Fusion<\/li>Pattern Recognition<\/li>Data Mining<\/li>Neural Agents<\/li>Brain-Computer Interaction<\/li>Neural Hardware<\/li>Evolutionary Neural Networks<\/li><\/ul>\n\n\n\nSpecial Session BIGCHEM: Big Data and AI in chemistry<\/h4>\n\n\n\nBig Data analysis in chemistry<\/li>Chemoinformatics<\/li>Use of deep learning to predict molecular properties<\/li>Drug-discovery<\/li>Modelling and prediction of chemical reaction data<\/li>Synthetic route prediction<\/li>Structure generation<\/li>Molecular dynamics simulations and quantum chemistry<\/li><\/ul>\n\n\n\n<\/p>\n\n\n\nTwitter feedTweets by EuNeuralNetSoc<\/a>
Conference proceedings are published by Springer in Lecture Notes in Computer Science.<\/p>\n\n\n\n
The proceedings are now published as Springer Lecture Notes in Computer Science Series, volumes 11727<\/a>, 11728<\/a>, 11729<\/a>, 11730<\/a>, and 11731<\/a>.<\/p>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/a><\/figure><\/div>\n\n\n\n<\/div>\n\n\n\nNews:<\/strong><\/p>\n\n\n\nICANN 2020 will be in Bratislava, Slovakia, September 15-18, 2020. Please find the announcement here<\/a>.<\/li>ICANN2019 and Springer Open Access collaboration<\/strong>. The authors of articles\/abstracts submitted to the BIGCHEM Special Session<\/a> are qualified for a 25% discount on the journal\u2019s article-processing charge for the special issue of J. Cheminformatics<\/a>. To be qualified for the discount one of the authors should participate to the ICANN2019 and the article should be submitted to the special issue before the start of the conference. The article submitted to J. Cheminformatics will be fully peer-reviewed and should comply to the usual publishing ethics.<\/li><\/ul>\n\n\n\nThe International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.<\/p>\n\n\n\nSponsors<\/h3>\n\n\n\nPlatinum sponsors<\/h4>\n\n\n\n<\/figure><\/div>\n\n\n\n\n\n\n\nBronze Sponsors<\/h4>\n\n\n\n<\/figure><\/div>\n\n\n\nConference topics<\/h3>\n\n\n\nICANN 2019 will feature two main tracks: Brain inspired computing and Machine learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the Conference<\/p>\n\n\n\nDeep Learning<\/h4>\n\n\n\nNeural Network Theory<\/li>Neural Network Models<\/li>Graphical Models<\/li>Bayesian Networks<\/li>Kernel Methods<\/li>Generative Models<\/li>Information Theoretic Learning<\/li>Reinforcement Learning<\/li>Relational Learning<\/li>Dynamical Models<\/li>Recurrent Networks.<\/li><\/ul>\n\n\n\nBrain Inspired Computing<\/h4>\n\n\n\nCognitive models<\/li>Computational Neuroscience<\/li>Self-organisation<\/li>Reinforcement Learning<\/li>Neural Control and Planning<\/li>Hybrid Neural-Symbolic Architectures<\/li>Neural Dynamics <\/li><\/ul>\n\n\n\nNeural Applications for<\/h4>\n\n\n\nBioinformatics<\/li>Biomedicine<\/li>Intelligent Robotics<\/li>Neurorobotics<\/li>Language Processing<\/li>Image Processing<\/li>Sensor Fusion<\/li>Pattern Recognition<\/li>Data Mining<\/li>Neural Agents<\/li>Brain-Computer Interaction<\/li>Neural Hardware<\/li>Evolutionary Neural Networks<\/li><\/ul>\n\n\n\nSpecial Session BIGCHEM: Big Data and AI in chemistry<\/h4>\n\n\n\nBig Data analysis in chemistry<\/li>Chemoinformatics<\/li>Use of deep learning to predict molecular properties<\/li>Drug-discovery<\/li>Modelling and prediction of chemical reaction data<\/li>Synthetic route prediction<\/li>Structure generation<\/li>Molecular dynamics simulations and quantum chemistry<\/li><\/ul>\n\n\n\n<\/p>\n\n\n\nTwitter feedTweets by EuNeuralNetSoc<\/a>
News:<\/strong><\/p>\n\n\n\nICANN 2020 will be in Bratislava, Slovakia, September 15-18, 2020. Please find the announcement here<\/a>.<\/li>ICANN2019 and Springer Open Access collaboration<\/strong>. The authors of articles\/abstracts submitted to the BIGCHEM Special Session<\/a> are qualified for a 25% discount on the journal\u2019s article-processing charge for the special issue of J. Cheminformatics<\/a>. To be qualified for the discount one of the authors should participate to the ICANN2019 and the article should be submitted to the special issue before the start of the conference. The article submitted to J. Cheminformatics will be fully peer-reviewed and should comply to the usual publishing ethics.<\/li><\/ul>\n\n\n\nThe International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.<\/p>\n\n\n\nSponsors<\/h3>\n\n\n\nPlatinum sponsors<\/h4>\n\n\n\n<\/figure><\/div>\n\n\n\n\n\n\n\nBronze Sponsors<\/h4>\n\n\n\n<\/figure><\/div>\n\n\n\nConference topics<\/h3>\n\n\n\nICANN 2019 will feature two main tracks: Brain inspired computing and Machine learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the Conference<\/p>\n\n\n\nDeep Learning<\/h4>\n\n\n\nNeural Network Theory<\/li>Neural Network Models<\/li>Graphical Models<\/li>Bayesian Networks<\/li>Kernel Methods<\/li>Generative Models<\/li>Information Theoretic Learning<\/li>Reinforcement Learning<\/li>Relational Learning<\/li>Dynamical Models<\/li>Recurrent Networks.<\/li><\/ul>\n\n\n\nBrain Inspired Computing<\/h4>\n\n\n\nCognitive models<\/li>Computational Neuroscience<\/li>Self-organisation<\/li>Reinforcement Learning<\/li>Neural Control and Planning<\/li>Hybrid Neural-Symbolic Architectures<\/li>Neural Dynamics <\/li><\/ul>\n\n\n\nNeural Applications for<\/h4>\n\n\n\nBioinformatics<\/li>Biomedicine<\/li>Intelligent Robotics<\/li>Neurorobotics<\/li>Language Processing<\/li>Image Processing<\/li>Sensor Fusion<\/li>Pattern Recognition<\/li>Data Mining<\/li>Neural Agents<\/li>Brain-Computer Interaction<\/li>Neural Hardware<\/li>Evolutionary Neural Networks<\/li><\/ul>\n\n\n\nSpecial Session BIGCHEM: Big Data and AI in chemistry<\/h4>\n\n\n\nBig Data analysis in chemistry<\/li>Chemoinformatics<\/li>Use of deep learning to predict molecular properties<\/li>Drug-discovery<\/li>Modelling and prediction of chemical reaction data<\/li>Synthetic route prediction<\/li>Structure generation<\/li>Molecular dynamics simulations and quantum chemistry<\/li><\/ul>\n\n\n\n<\/p>\n\n\n\nTwitter feedTweets by EuNeuralNetSoc<\/a>
The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.<\/p>\n\n\n\n
ICANN 2019 will feature two main tracks: Brain inspired computing and Machine learning research, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the Conference<\/p>\n\n\n\n
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Twitter feedTweets by EuNeuralNetSoc<\/a>