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Publications by Hemant A. Patil
Unsupervised Filterbank Learning Using Convolutional Restricted Boltzmann Machine for Environmental Sound Classification
Novel Nonlinear Prediction Based Features for Spoofed Speech Detection
Novel Variable Length Teager Energy Separation Based Instantaneous Frequency Features for Replay Detection
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Learning Features for Tissue Classification With the Classification Restricted Boltzmann Machine
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An Infinite Restricted Boltzmann Machine
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Multiple-View Active Learning for Environmental Sound Classification
International Journal of Online Engineering
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LD-CNN: A Lightweight Dilated Convolutional Neural Network for Environmental Sound Classification
Using Memristors for Robust Local Learning of Hardware Restricted Boltzmann Machines
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Machine Learning in APOGEE: Unsupervised Spectral Classification With K-Means
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Vocal Control of Sound Synthesis Personalized by Unsupervised Machine Listening and Learning
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A Highly Scalable Restricted Boltzmann Machine FPGA Implementation
Document Classification Using Machine Learning
