Ronay Ak

According to our database, Ronay Ak authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

2022

Building and Deploying a Multi-Stage Recommender System with Merlin.

Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Training and Deploying Multi-Stage Recommender Systems.

Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Reducing the Friction for Building Recommender Systems with Merlin.

Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

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

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

Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), 2021

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation.

Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

End-to-End Session-Based Recommendation on GPU.

Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2019

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

2018

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

2017

Automatic localization of casting defects with convolutional neural networks.

Max Ferguson, Ronay Ak, Yung-Tsun Tina Lee, Kincho H. Law

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

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

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

A neural network meta-model and its application for manufacturing.

David Lechevalier, Steven Hudak, Ronay Ak, Y. Tina Lee, Sebti Foufou

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Analysis and optimization in smart manufacturing based on a reusable knowledge base for process performance models.

Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan, Daniel A. Menascé, Ronay Ak

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Data analytics and uncertainty quantification for energy prediction in manufacturing.

Ronay Ak, Raunak Bhinge

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013

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