NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment. - Ronay Ak; Yan-Fu Li; Valeria Vitelli; Enrico Zio; Enrique López Droguett; Carlos Magno Couto Jacinto (Expert Syst. Appl., 2013)

Data analytics and uncertainty quantification for energy prediction in manufacturing. - Ronay Ak; Raunak Bhinge (IEEE BigData, 2015)

Analysis and optimization in smart manufacturing based on a reusable knowledge base for process performance models. - Alexander Brodsky 001; Guodong Shao; Mohan Krishnamoorthy; Anantha Narayanan; Daniel A. Menascé; Ronay Ak (IEEE BigData, 2015)

A neural network meta-model and its application for manufacturing. - David Lechevalier; Steven Hudak; Ronay Ak; Y. Tina Lee; Sebti Foufou (IEEE BigData, 2015)

An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction. - Ronay Ak; Valeria Vitelli; Enrico Zio (IEEE Trans. Neural Networks Learn. Syst., 2015)

Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction. - Ronay Ak; Olga Fink; Enrico Zio (IEEE Trans. Neural Networks Learn. Syst., 2016)

Automatic localization of casting defects with convolutional neural networks. - Max Ferguson; Ronay Ak; Yung-Tsun Tina Lee; Kincho H. Law (IEEE BigData, 2017)

Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning. - Max Ferguson; Ronay Ak; Yung-Tsun Tina Lee; Kincho H. Law (CoRR, 2018)

A survey on knowledge transfer for manufacturing data analytics. - Seung Hwan Bang; Ronay Ak; Anantha Narayanan; Yung-Tsun Tina Lee; Hyunbo Cho (Comput. Ind., 2019)

End-to-End Session-Based Recommendation on GPU. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Ronay Ak; Benedikt Schifferer (RecSys, 2021)

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Jeongmin Lee 001; Ronay Ak; Even Oldridge (RecSys, 2021)

Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations. - Benedikt Schifferer; Chris Deotte; Jean-Francois Puget; Gabriel de Souza Pereira Moreira; Gilberto Titericz; Jiwei Liu; Ronay Ak (WebTour@WSDM, 2021)

Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. - Gabriel de Souza Pereira Moreira; Sara Rabhi; Ronay Ak; Md Yasin Kabir; Even Oldridge (CoRR, 2021)

Reducing the Friction for Building Recommender Systems with Merlin. - Sara Rabhi; Ronay Ak; Marc Romeijn; Gabriel de Souza Pereira Moreira; Benedikt D. Schifferer (KDD, 2022)

Training and Deploying Multi-Stage Recommender Systems. - Ronay Ak; Benedikt Schifferer; Sara Rabhi; Gabriel de Souza Pereira Moreira (RecSys, 2022)

Building and Deploying a Multi-Stage Recommender System with Merlin. - Karl Higley; Even Oldridge; Ronay Ak; Sara Rabhi; Gabriel de Souza Pereira Moreira (RecSys, 2022)

NV-Retriever: Improving text embedding models with effective hard-negative mining. - Gabriel de Souza Pereira Moreira; Radek Osmulski; Mengyao Xu; Ronay Ak; Benedikt Schifferer; Even Oldridge (CoRR, 2024)

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG. - Gabriel de Souza Pereira Moreira; Ronay Ak; Benedikt Schifferer; Mengyao Xu; Radek Osmulski; Even Oldridge (CoRR, 2024)

MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark. - Radek Osmulski; Gabriel de Souza Pereira Moreira; Ronay Ak; Mengyao Xu; Benedikt Schifferer; Even Oldridge (CoRR, 2025)

Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model. - Mengyao Xu; Gabriel de Souza Pereira Moreira; Ronay Ak; Radek Osmulski; Yauhen Babakhin; Zhiding Yu; Benedikt Schifferer; Even Oldridge (CoRR, 2025)