Ronay Ak - RankMe

27 papers A* 1A 5Journal 13Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Nemotron ColEmbed V2: Top-Performing Late Interaction embedding models for Visual Document Retrieval. CoRR Gabriel de Souza Pereira Moreira, Ronay Ak, Mengyao Xu, Oliver Holworthy, Benedikt Schifferer, Zhiding Yu, Yauhen Babakhin, Radek Osmulski, Jiarui Cai, Ryan Chesler, Bo Liu, Even Oldridge
2025	—	`conf`	Boost the Performance of Tabular Data Models with GPU Accelerated Feature Engineering. KDD (2) Chris Deotte, Ronay Ak
2025	A	`conf`	Improving Text Embedding Models with Positive-aware Hard-negative Mining. CIKM Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge
2025	J	`jnl`	Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model. CoRR Mengyao Xu, Gabriel de Souza Pereira Moreira, Ronay Ak, Radek Osmulski, Yauhen Babakhin, Zhiding Yu, Benedikt Schifferer, Even Oldridge
2025	J	`jnl`	Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks. CoRR Yauhen Babakhin, Radek Osmulski, Ronay Ak, Gabriel de Souza Pereira Moreira, Mengyao Xu, Benedikt Schifferer, Bo Liu, Even Oldridge
2025	J	`jnl`	MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark. CoRR Radek Osmulski, Gabriel de Souza Pereira Moreira, Ronay Ak, Mengyao Xu, Benedikt Schifferer, Even Oldridge
2025	J	`jnl`	Omni-Embed-Nemotron: A Unified Multimodal Retrieval Model for Text, Image, Audio, and Video. CoRR Mengyao Xu, Wenfei Zhou, Yauhen Babakhin, Gabriel de Souza Pereira Moreira, Ronay Ak, Radek Osmulski, Bo Liu, Even Oldridge, Benedikt Schifferer
2024	J	`jnl`	Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG. CoRR Gabriel de Souza Pereira Moreira, Ronay Ak, Benedikt Schifferer, Mengyao Xu, Radek Osmulski, Even Oldridge
2024	J	`jnl`	NV-Retriever: Improving text embedding models with effective hard-negative mining. CoRR Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge
2022	A	`conf`	Building and Deploying a Multi-Stage Recommender System with Merlin. RecSys Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira
2022	A*	`conf`	Reducing the Friction for Building Recommender Systems with Merlin. KDD Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer
2022	A	`conf`	Training and Deploying Multi-Stage Recommender Systems. RecSys Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira
2021	A	`conf`	End-to-End Session-Based Recommendation on GPU. RecSys Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer
2021	J	`jnl`	Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. CoRR Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Md Yasin Kabir, Even Oldridge
2021	A	`conf`	Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. RecSys Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge
2021	—	`conf`	Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations. WebTour@WSDM Benedikt Schifferer, Chris Deotte, Jean-Francois Puget, Gabriel de Souza Pereira Moreira, Gilberto Titericz, Jiwei Liu, Ronay Ak
2019	—	`ed.`	2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019 IEEE BigData Chaitanya K. Baru, Jun Huan, Latifur Khan, Xiaohua Hu, Ronay Ak, Yuanyuan Tian, Roger S. Barga, Carlo Zaniolo, Kisung Lee, Yanfang (Fanny) Ye
2019	J	`jnl`	A survey on knowledge transfer for manufacturing data analytics. Comput. Ind. Seung Hwan Bang, Ronay Ak, Anantha Narayanan, Yung-Tsun Tina Lee, Hyunbo Cho
2018	J	`jnl`	Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning. CoRR Max Ferguson, Ronay Ak, Yung-Tsun Tina Lee, Kincho H. Law
2017	—	`conf`	Automatic localization of casting defects with convolutional neural networks. IEEE BigData Max Ferguson, Ronay Ak, Yung-Tsun Tina Lee, Kincho H. Law
2016	—	`ed.`	2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016 IEEE BigData James Joshi, George Karypis, Ling Liu, Xiaohua Hu, Ronay Ak, Yinglong Xia, Weijia Xu, Aki-Hiro Sato, Sudarsan Rachuri, Lyle H. Ungar, Philip S. Yu, Rama Govindaraju, Toyotaro Suzumura
2016	J	`jnl`	Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction. IEEE Trans. Neural Networks Learn. Syst. Ronay Ak, Olga Fink, Enrico Zio
2015	—	`conf`	A neural network meta-model and its application for manufacturing. IEEE BigData David Lechevalier, Steven Hudak, Ronay Ak, Y. Tina Lee, Sebti Foufou
2015	J	`jnl`	An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction. IEEE Trans. Neural Networks Learn. Syst. Ronay Ak, Valeria Vitelli, Enrico Zio
2015	—	`conf`	Analysis and optimization in smart manufacturing based on a reusable knowledge base for process performance models. IEEE BigData Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan, Daniel A. Menascé, Ronay Ak
2015	—	`conf`	Data analytics and uncertainty quantification for energy prediction in manufacturing. IEEE BigData Ronay Ak, Raunak Bhinge
2013	J	`jnl`	NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment. Expert Syst. Appl. Ronay Ak, Yan-Fu Li, Valeria Vitelli, Enrico Zio, Enrique López Droguett, Carlos Magno Couto Jacinto