Privileged information for data clustering J Feyereisl, U Aickelin Information Sciences 194, 4-23, 2012 | 91 | 2012 |
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 | 88 | 2012 |
The DCA: SOMe comparison J Greensmith, J Feyereisl, U Aickelin Evolutionary Intelligence 1 (2), 85-112, 2008 | 70 | 2008 |
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 | 60* | 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 | 52 | 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 | 49 | 2013 |
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 | 47 | 2015 |
A framework for searching for general artificial intelligence M Rosa, J Feyereisl, TGAI Collective arXiv preprint arXiv:1611.00685, 2016 | 35* | 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 | 32 | 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 | 28 | 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 | 26 | 2011 |
Self-Organising Maps in Computer Security J Feyereisl, U Aickelin Computer Security: Intrusion, Detection and Prevention, Ed. Ronald D …, 2009 | 15* | 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 | 13 | 2019 |
Detecting motifs in system call sequences W Wilson, J Feyereisl, U Aickelin Information Security Applications, 157-172, 2007 | 10 | 2007 |
Method and device for classifying content J Feyereisl, SB Park, T Lim, W Shim US Patent App. 14/814,831, 2016 | 9 | 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 | 7 | 2011 |
A simple guard for learned optimizers I Prémont-Schwarz, J Vítků, J Feyereisl arXiv preprint arXiv:2201.12426, 2022 | 6 | 2022 |
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 |
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 | 3 | 2017 |
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 |