Kamelia Aryafar

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 17

Top Topics

Autonomous Driving

Semantic Representation

Music Genre Classification

Recommender Systems

Top Venues

Publications

Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Mohammed Korayem
2nd Workshop on Online and Adaptive Recommender Systems (OARS). KDD (2022)
Xiquan Cui, Estelle Afshar, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Kamelia Aryafar, Vachik Dave, Mohammad Korayem
Workshop on Online and Adaptative Recommender Systems (OARS). KDD (2021)
Murium Iqbal, Nishan Subedi, Kamelia Aryafar
Production Ranking Systems: A Review. CoRR (2019)
Murium Iqbal, Nishan Subedi, Kamelia Aryafar
Production Ranking Systems: A Review. eCOM@SIGIR (2019)
Murium Iqbal, Kamelia Aryafar, Timothy Anderton
Style conditioned recommendations. RecSys (2019)
Murium Iqbal, Kamelia Aryafar, Timothy Anderton
Style Conditioned Recommendations. CoRR (2019)
Murium Iqbal, Adair Kovac, Kamelia Aryafar
A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce. CoRR (2018)
Murium Iqbal, Adair Kovac, Kamelia Aryafar
Discovering Style Trends Through Deep Visually Aware Latent Item Embeddings. CVPR Workshops (2018)
Murium Iqbal, Adair Kovac, Kamelia Aryafar
A Multimodal Recommender System for Large-scale Assortment Generation in e-Commerce. eCOM@SIGIR (2018)
Murium Iqbal, Adair Kovac, Kamelia Aryafar
Discovering Style Trends through Deep Visually Aware Latent Item Embeddings. CoRR (2018)
Kamelia Aryafar, Devin Guillory, Liangjie Hong
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. ADKDD@KDD (2017)
Kamelia Aryafar, Devin Guillory, Liangjie Hong
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. CoRR (2017)
Yasamin Alkhorshid, Kamelia Aryafar, Sven Bauer, Gerd Wanielik
Road Detection through Supervised Classification. CoRR (2016)
Arjun Raj Rajanna, Kamelia Aryafar, Rajeev Ramchandran, Christye Sisson, Ali Shokoufandeh, Raymond W. Ptucha
Neural Networks with Manifold Learning for Diabetic Retinopathy Detection. CoRR (2016)
Yasamin Alkhorshid, Kamelia Aryafar, Sven Bauer, Gerd Wanielik
Road Detection through Supervised Classification. ICMLA (2016)
Stephen Zakrewsky, Kamelia Aryafar, Ali Shokoufandeh
Item Popularity Prediction in E-commerce Using Image Quality Feature Vectors. CoRR (2016)
Corey Lynch, Kamelia Aryafar, Josh Attenberg
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. KDD (2016)
Corey Lynch, Kamelia Aryafar, Josh Attenberg
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. CoRR (2015)
Arjun Raj Rajanna, Kamelia Aryafar, Ali Shokoufandeh, Raymond W. Ptucha
Deep Neural Networks: A Case Study for Music Genre Classification. ICMLA (2015)
Yasamin Alkhorshid, Kamelia Aryafar, Gerd Wanielik, Ali Shokoufandeh
Camera-Based Lane Marking Detection for ADAS and Autonomous Driving. ICIAR (2015)
Kamelia Aryafar, Jerry Soung
Exploring Alternate Modalities for Tag Recommendation. MPRSS (2014)
Kamelia Aryafar, Corey Lynch, Josh Attenberg
Exploring User Behaviour on Etsy through Dominant Colors. ICPR (2014)
Kamelia Aryafar, Ali Shokoufandeh
Multimodal Music and Lyrics Fusion Classifier for Artist Identification. ICMLA (2014)
Kamelia Aryafar, Ali Shokoufandeh
Multimodal Sparsity-Eager Support Vector Machines for Music Classification. ICMLA (2014)
Kamelia Aryafar, Ali Shokoufandeh
Fusion of Text and Audio Semantic Representations Through CCA. MPRSS (2014)
Kamelia Aryafar, Sina Jafarpour, Ali Shokoufandeh
Automatic musical genre classification using sparsity-eager support vector machines. ICPR (2012)
Kamelia Aryafar, Ali Shokoufandeh
Music genre classification using explicit semantic analysis. MIRUM (2011)