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Jan Feyereisl
Jan Feyereisl
GoodAI, AI Roadmap Institute
Verified email at goodai.com
Title
Cited by
Cited by
Year
Privileged information for data clustering
J Feyereisl, U Aickelin
Information Sciences 194, 4-23, 2012
902012
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
882012
The DCA: SOMe comparison
J Greensmith, J Feyereisl, U Aickelin
Evolutionary Intelligence 1 (2), 85-112, 2008
702008
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
57*2018
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
492014
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
482013
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
462015
A framework for searching for general artificial intelligence
M Rosa, J Feyereisl, TGAI Collective
arXiv preprint arXiv:1611.00685, 2016
33*2016
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
302006
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
282008
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
262011
Self-Organising Maps in Computer Security
J Feyereisl, U Aickelin
Computer Security: Intrusion, Detection and Prevention, Ed. Ronald D …, 2009
13*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
122019
Detecting motifs in system call sequences
W Wilson, J Feyereisl, U Aickelin
Information Security Applications, 157-172, 2007
102007
Method and device for classifying content
J Feyereisl, SB Park, T Lim, W Shim
US Patent App. 14/814,831, 2016
82016
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
62011
A simple guard for learned optimizers
I Prémont-Schwarz, J Vítků, J Feyereisl
arXiv preprint arXiv:2201.12426, 2022
52022
Artificial Immune Tissue using Self-Organizing Networks
J Feyereisl, U Aickelin
Workshop on Artificial Immune Systems and Immune System Modelling, 5-6, 2006
42006
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
32017
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
32013
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