Kamelia Aryafar

27 papers A* 3A 1B 2C 4Journal 9Unranked 8

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