Basel Abu-Jamous
According to our database1,
Basel Abu-Jamous
authored at least 20 papers
between 2012 and 2020.
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Bibliography
2020
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units.
CoRR, 2020
2017
Towards Tunable Consensus Clustering for Studying Functional Brain Connectivity During Affective Processing.
Int. J. Neural Syst., 2017
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017
2015
Application of the Bi-CoPaM Method to Five Escherichia Coli Datasets Generated under Various Biological Conditions.
J. Signal Process. Syst., 2015
UNCLES: method for the identification of genes differentially consistently co-expressed in a specific subset of datasets.
BMC Bioinform., 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
CoCE-SMART: Consensus clustering based on enhanced splitting-merging awareness tactics.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
2014
Comprehensive analysis of forty yeast microarray datasets reveals a novel subset of genes (APha-RiB) consistently negatively associated with ribosome biogenesis.
BMC Bioinform., 2014
Splitting-while-merging framework for clustering high-dimension data with component-wise expectation conditional maximisation.
Proceedings of the IEEE International Conference on Acoustics, 2014
M-N scatter plots technique for evaluating varying-size clusters and setting the parameters of Bi-CoPaM and Uncles methods.
Proceedings of the IEEE International Conference on Acoustics, 2014
Bi-CoPaM ensemble clustering application to five Escherichia coli bacterial datasets.
Proceedings of the 22nd European Signal Processing Conference, 2014
2013
Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features.
IEEE Trans. Multim., 2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Method for the identification of the subsets of genes specifically consistently co-expressed in a set of datasets.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Identification of genes consistently co-expressed in multiple microarray datasets by a genome-wide Bi-CoPaM approach.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
Comprehensive analysis of multiple microarray datasets by binarization of consensus partition matrix.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Proceedings of the 20th European Signal Processing Conference, 2012
Proceedings of the 20th European Signal Processing Conference, 2012