Browsing by Author "Seker, H."
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Item Metadata only An adaptive FPGA implementation of multi-core K-nearest neighbour ensemble classifier using dynamic partial reconfiguration.(IEEE, 2012) Hussain, H. M.; Benkrid, K.; Hong, C.; Seker, H.Item Metadata only An adaptive implementation of a dynamically reconfigurable K-nearest neighbour classifier on FPGA(IEEE, 2012) Hussain, H. M.; Benkrid, K.; Seker, H.Item Metadata only Advances in computational analysis of gene expression profiles (invited paper)(2005) Seker, H.; Gongora, Mario AugustoItem Metadata only Analysis of cellular and molecular markers by statistical, artificial neural networks and fuzzy logic-based approaches as an aid in intelligent prognostic decision making in oncology(2004) Seker, H.; Sherbet, G. V.; Naguib, R. N. G.Item Metadata only Analysis of four different sets of predictive features for metalloproteins(2005) Seker, H.; Haris, P. I. (Parvez I.)Item Metadata only An artificial neural network based feature evaluation index for the assessment of clinical factors in breast cancer survival analysis(2002) Seker, H.; Odetayo, M. O.; Petrovic, D.; Naguib, R. N. G.; Bartoli, C.; Alasio, L.; Lakshmi, M. S.; Sherbet, G. V.Item Open Access Assessment of Microneedle Intradermal Penetration Depth using Terahertz Pulsed Imaging(2012) Mueller-Holtz, M.; Seker, H.; McKenna, J.; Prausnitz, M.; Marlow, M. E.; Smith, GeoffItem Metadata only Assessment of nodal involvement and survival analysis in breast cancer patients using image cytometric data: statistical, neural network and fuzzy approaches(IIAR, 2002-01-01) Seker, H.; Naguib, R. N. G.; Odetayo, M. O.; Petrovic, D.Item Metadata only Assessment of nodal involvement in breast cancer patients using histological and image cytometric prognostic factors(2002) Seker, H.; Odetayo, M. O.; Petrovic, D.; Naguib, R. N. G.; Bartoli, C.; Alasio, L.; Lakshmi, M. S.; Sherbet, G. V.Item Metadata only Assessment of Skin Penetration Depth of Microneedles using Terahertz Pulsed Imaging(2012) Mueller-Holtz, M.; Seker, H.; McKenna, D. J.; Zarnitsyn, V.; Prausnitz, M.; Marlow, M. E.; Smith, GeoffItem Metadata only Item Metadata only Bayesian estimation for modelling acute myocardial infarction deaths using Lorenz curve.(Institute of Applied Science & Computations, 2005-12-01) Seker, H.; Bener, A.; Farooq, A.; Kittani, H.Item Metadata only Behaviour analysis of micro-organisms to observe invisible substance effects: Towards the more sensitive biological effect detectors(IEEE, 2012) Orun, A.; Kurugollu, F.; Seker, H.Item Metadata only A bioinformatics approach to identification of metalloproteins(2007) Seker, H.; Abdulla, R.; Haris, P. I. (Parvez I.)Item Open Access Characterisation of amorphous and crystalline domains using terahertz spectroscopy(2012) Marlow, M. E.; Seker, H.; Smith, GeoffItem Metadata only Combining multiple clusterings for protein structure prediction.(Inderscience, 2014) Sakar, C. O.; Kursun, O.; Seker, H.; Gurgen, F.Computational annotation and prediction of protein structure is very important in the post-genome era due to existence of many different proteins, most of which are yet to be verified. Mutual information based feature selection methods can be used in selecting such minimal yet predictive subsets of features. However, as protein features are organised into natural partitions, individual feature selection that ignores the presence of these views, dismantles them, and treats their variables intermixed along with those of others at best results in a complex un-interpretable predictive system for such multi-view datasets. In this paper, instead of selecting a subset of individual features, each feature subset is passed through a clustering step so that it is represented in discrete form using the cluster indices; this makes mutual information based methods applicable to view-selection. We present our experimental results on a multi-view protein dataset that are used to predict protein structure.Item Metadata only Combining multiple views: Case studies on protein and arrhythmia features(2013) Sakar, C. O.; Kursun, O.; Seker, H.; Gurgen, F.; Aydin, N.; Favorov, O.Item Metadata only Item Metadata only Compensatory fuzzy neural networks based intelligent detection of abnormal neonatal cerebral Doppler ultrasound waveforms(IEEE, 2001-09-01) Seker, H.; Aydin, N.; Evans, D. H.; Yazgan, E.Item Metadata only Complex resonant recognition model in analysing Influenza A virus subtype protein sequences.(IEEE, 2010) Chrysostomou, C.; Seker, H.; Aydin, N.; Haris, P. I. (Parvez I.)