Jan Feyereisl

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Uwe AickelinHead of School, School of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Julie GreensmithUniversity of NottinghamVerified email at nottingham.ac.uk
Bohyung HanProfessor, Seoul National UniversityVerified email at snu.ac.kr
Suha KwakPOSTECHVerified email at postech.ac.kr
Matthew CrosbyImperial College LondonVerified email at mdcrosby.com
Shahar AvinUniversity of CambridgeVerified email at cam.ac.uk
José Hernández-OralloVRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politecnica de ValenciaVerified email at upv.es
Lucy ChekeAssociate Professor, Department of Psychology, CambridgeVerified email at cam.ac.uk
Jenna RepsResearchers of Computer Science, Nottingham UniversityVerified email at nottingham.ac.uk
Marta HalinaDepartment of History and Philosophy of Science, University of CambridgeVerified email at cam.ac.uk
Anna AlexandrovaCambridge History and Philosophy of ScienceVerified email at cam.ac.uk
Huw PriceEmeritus Bertrand Russell Professor of Philosophy, CambridgeVerified email at cam.ac.uk
Adrian WellerDirector of Research, Machine Learning, University of CambridgeVerified email at eng.cam.ac.uk
Fernando Martínez-PlumedVRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politecnica de ValenciaVerified email at dsic.upv.es
Jaroslav VítkůGoodAIVerified email at goodai.com
Feng GuAstraZenecaVerified email at astrazeneca.com
Jeany SonGISTVerified email at gist.ac.kr
Seunghoon HongAssistant Professor, KAISTVerified email at kaist.ac.kr
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Jonghyun ChoiAssociate Professor, Yonsei University / AI2Verified email at yonsei.ac.kr

Jan Feyereisl

GoodAI, AI Roadmap Institute

Verified email at goodai.com

Learning & Meta-Learning Dynamics of Learning Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Online Multi-Target Tracking by Large Margin Structured Learning S Kim, S Kwak, J Feyereisl, B Han The 11th Asian Conference on Computer Vision, (ACCV), 2012	83	2012
Privileged information for data clustering J Feyereisl, U Aickelin Information Sciences 194, 4-23, 2012	81	2012
The DCA: SOMe comparison J Greensmith, J Feyereisl, U Aickelin Evolutionary Intelligence 1 (2), 85-112, 2008	69	2008
Object localization based on structural SVM using privileged information J Feyereisl, S Kwak, J Son, B Han Advances in Neural Information Processing Systems 27, 2014	45	2014
Wavelet Feature Extraction and Genetic Algorithm for Biomarker Detection in Colorectal Cancer Data Y Liu, U Aickelin, J Feyereisl, LG Durrant Knowledge-Based Systems 37, 502–514, 2013	45	2013
Mapping intelligence: Requirements and possibilities S Bhatnagar, A Alexandrova, S Avin, S Cave, L Cheke, M Crosby, ... Philosophy and theory of artificial intelligence 2017, 117-135, 2018	42*	2018
Joint Image Clustering and Labeling by Matrix Factorization S Hong, J Choi, J Feyereisl, B Han, LS Davis IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015	42	2015
Don’t touch me, I’m fine: Robot autonomy using an artificial innate immune system M Neal, J Feyereisl, R Rascuna, X Wang Artificial Immune Systems, 349-361, 2006	30	2006
The future of biologically-inspired security: is there anything left to learn? A Somayaji, M Locasto, J Feyereisl Proceedings of the 2007 Workshop on New Security Paradigms, 49-54, 2008	26	2008
Quiet in Class: Classification, Noise and the Dendritic Cell Algorithm F Gu, J Feyereisl, R Oates, J Reps, J Greensmith, U Aickelin Artificial Immune Systems, 173-186, 2011	25	2011
A framework for searching for general artificial intelligence M Rosa, J Feyereisl, TGAI Collective arXiv preprint arXiv:1611.00685, 2016	23*	2016
Self-Organising Maps in Computer Security J Feyereisl, U Aickelin Computer Security: Intrusion, Detection and Prevention, Ed. Ronald D …, 2009	12*	2009
Badger: Learning to (learn [learning algorithms] through multi-agent communication) M Rosa, O Afanasjeva, S Andersson, J Davidson, N Guttenberg, ... arXiv preprint arXiv:1912.01513, 2019	10	2019
Detecting motifs in system call sequences W Wilson, J Feyereisl, U Aickelin Information Security Applications, 157-172, 2007	9	2007
Method and device for classifying content J Feyereisl, SB Park, T Lim, W Shim US Patent App. 14/814,831, 2016	8	2016
Investigating the Detection of Adverse Drug Events in a UK General Practice Electronic Health-Care Database J Reps, J Feyereisl, JM Garibaldi, U Aickelin, JE Gibson, RB Hubbard The 11th Annual Workshop on Computational Intelligence (UKCI), 167-173, 2011	4	2011
Artificial Immune Tissue using Self-Organizing Networks J Feyereisl, U Aickelin Workshop on Artificial Immune Systems and Immune System Modelling, 5-6, 2006	4	2006
Biomarker CD46 detection in colorectal cancer data based on wavelet feature extraction and genetic algorithm Y Liu, U Aickelin, J Feyereisl, LG Durrant Knowledge-Based Systems 37, 502-514, 2013	3	2013
General AI Challenge-Round One: Gradual Learning J Feyereisl, M Nikl, M Poliak, M Stransky, M Vlasak EGPAI - Evaluating General Purpose AI Workshop @ IJCAI 2017, 2017	2	2017
Avoiding the precipice: race avoidance in the development of artificial general intelligence O Afanasjeva, J Feyereisl, M Havrda, M Holec, S Ó hÉigeartaigh, M Poliak Medium, 2017	2	2017

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