• Publications
  • Influence
Music genre classification using explicit semantic analysis
Music genre classification is the categorization of a piece of music into its corresponding categorical labels created by humans and has been traditionally performed through a manual process.Expand
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Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank
Search is at the heart of modern e-commerce. As a result, the task of ranking search results automatically (learning to rank) is a multibillion dollar machine learning problem. Traditional modelsExpand
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Style conditioned recommendations
We propose Style Conditioned Recommendations (SCR) and introduce style injection as a method to diversify recommendations. We use Conditional Variational Autoencoder (CVAE) architecture, where bothExpand
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Automatic musical genre classification using sparsity-eager support vector machines
Constructing robust categorical and typological classifiers, i.e., finding auditory constructs utilized for describing music categories, is an important problem in music genre classification.Expand
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Camera-Based Lane Marking Detection for ADAS and Autonomous Driving
Advanced driver assistance systems (ADAS) and autonomous driving (AD) have increasingly gained more attention in automotive industries and road safety research. Several sensors such as Radar, LiDAR,Expand
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Neural Networks with Manifold Learning for Diabetic Retinopathy Detection
Widespread outreach programs using remote retinal imaging have proven to decrease the risk from diabetic retinopathy, the leading cause of blindness in the US. However, this process still requiresExpand
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Deep Neural Networks: A Case Study for Music Genre Classification
Music classification is a challenging problem with many applications in today's large-scale datasets with Gigabytes of music files and associated metadata and online streaming services. RecentExpand
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Music Genre Classification Using Sparsity-Eager Support Vector Machines
Constructing robust categorical and typological classifiers, i.e., finding auditory constructs utilized for describing music categories, is an important problem in music genre classification.Expand
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An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy
Etsy1 is a global marketplace where people across the world connect to make, buy and sell unique goods. Sellers at Etsy can promote their product listings via advertising campaigns similar toExpand
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Item Popularity Prediction in E-commerce Using Image Quality Feature Vectors
Online retail is a visual experience- Shoppers often use images as first order information to decide if an item matches their personal style. Image characteristics such as color, simplicity, sceneExpand
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