Shyamala Doraisamy

Also published under:Shyamala C. Doraisamy, S. Doraisamy

Affiliation

Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Selangor, Malaysia

Topic

Support Vector Machine,K-nearest Neighbor,Sentiment Analysis,Convolutional Layers,Convolutional Neural Network,Convolutional Neural Network Architecture,Decision Tree,Deep Features,Deep Learning,Deep Learning Architectures,Long Short-term Memory,Max-pooling Layer,Precision And Recall,Radial Basis Function,Word Embedding,Algorithms For Tasks,Artificial Neural Network,Breast Cancer,Classification Algorithms,Continuous Bag-of-words,Handcrafted Features,Logistic Regression,Manual Feature,Negative Words,Statistical Features,Support Vector Machine Classifier,Accurate Results,Ambiguity,Breast Area,Breast Cancer Cases,Breast Cancer Screening,Breast Thermograms,Breast Tissue,Cancer Cases,Cancer Imaging,Case Counts,Co-occurrence Matrix,Cognitive Characteristics,Color Channels,Computer-aided Diagnosis,Curse Of Dimensionality,Deep Learning Models,Deep Set,Dislike,Door For Research,Dropout Layer,Early Detection Of Breast Cancer,Effective Method,Emotional Features,English Tweets,

Biography

Shyamala Doraisamy (Member, IEEE) received the Ph.D. degree from Imperial College London, in 2004, with a focus on music information retrieval. She is currently an Associate Professor with the Department of Multimedia, Faculty of Computer Science and Information Technology, University Putra Malaysia (UPM). She also heads the Digital Information Computation and Retrieval Research Group, UPM. Her research interest includes multimedia information processing, focusing in particular on audio content analysis and applications for music and health informatics.