User profiles for "author:Nevenka Dimitrova"
Nevenka DimitrovaPhilips Verified email at philips.com Cited by 14086 |
[HTML][HTML] Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view
Background As more and more researchers are turning to big data for new opportunities of
biomedical discoveries, machine learning models, as the backbone of big data analysis, are …
biomedical discoveries, machine learning models, as the backbone of big data analysis, are …
[HTML][HTML] Ordered and deterministic cancer genome evolution after p53 loss
Although p53 inactivation promotes genomic instability and presents a route to malignancy
for more than half of all human cancers,, the patterns through which heterogenous TP53 …
for more than half of all human cancers,, the patterns through which heterogenous TP53 …
Applications of video-content analysis and retrieval
Applications of video-content analysis and retrieval Page 1 Managing multimedia data requires
more than collecting the data into storage archives and delivering it via networks to homes or …
more than collecting the data into storage archives and delivering it via networks to homes or …
Classification of general audio data for content-based retrieval
D Li, IK Sethi, N Dimitrova, T McGee - Pattern recognition letters, 2001 - Elsevier
In this paper, we address the problem of classification of continuous general audio data
(GAD) for content-based retrieval, and describe a scheme that is able to classify audio …
(GAD) for content-based retrieval, and describe a scheme that is able to classify audio …
Multimedia content processing through cross-modal association
D Li, N Dimitrova, M Li, IK Sethi - Proceedings of the eleventh ACM …, 2003 - dl.acm.org
Multimodal information processing has received considerable attention in recent years. The
focus of existing research in this area has been predominantly on the use of fusion …
focus of existing research in this area has been predominantly on the use of fusion …
Computational prediction of methylation status in human genomic sequences
Epigenetic effects in mammals depend largely on heritable genomic methylation patterns.
We describe a computational pattern recognition method that is used to predict the …
We describe a computational pattern recognition method that is used to predict the …
Motion recovery for video content classification
N Dimitrova, F Golshani - ACM Transactions on Information Systems …, 1995 - dl.acm.org
Like other types of digital information, video sequences must be classified based on the
semantics of their contents. A more-precise and completer extraction of semantic information …
semantics of their contents. A more-precise and completer extraction of semantic information …
A novel saliva-based microRNA biomarker panel to detect head and neck cancers
C Salazar, R Nagadia, P Pandit, J Cooper-White… - Cellular oncology, 2014 - Springer
Background MicroRNAs (miRNAs) are known to play an important role in cancer
development by post-transcriptionally affecting the expression of critical genes. The aims of …
development by post-transcriptionally affecting the expression of critical genes. The aims of …
[HTML][HTML] Identification of tumor suppressors and oncogenes from genomic and epigenetic features in ovarian cancer
The identification of genetic and epigenetic alterations from primary tumor cells has become
a common method to identify genes critical to the development and progression of cancer …
a common method to identify genes critical to the development and progression of cancer …
[HTML][HTML] DNA methylation patterns in luminal breast cancers differ from non-luminal subtypes and can identify relapse risk independent of other clinical variables
The diversity of breast cancers reflects variations in underlying biology and affects the
clinical implications for patients. Gene expression studies have identified five major …
clinical implications for patients. Gene expression studies have identified five major …