Ronay Ak

According to our database1, Ronay Ak authored at least 16 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Building and Deploying a Multi-Stage Recommender System with Merlin.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Training and Deploying Multi-Stage Recommender Systems.
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.
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.
CoRR, 2021

Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations.
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.
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.
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.
Comput. Ind., 2019

2018
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning.
CoRR, 2018

2017
Automatic localization of casting defects with convolutional neural networks.
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.
IEEE Trans. Neural Networks Learn. Syst., 2016

2015
An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2015

A neural network meta-model and its application for manufacturing.
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.
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.
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.
Expert Syst. Appl., 2013


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