Ronay Ak

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 12

Top Topics

Relative Humidity

Knowledge Transfer

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge
NV-Retriever: Improving text embedding models with effective hard-negative mining. CoRR (2024)
Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer
Reducing the Friction for Building Recommender Systems with Merlin. KDD (2022)
Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira
Training and Deploying Multi-Stage Recommender Systems. RecSys (2022)
Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira
Building and Deploying a Multi-Stage Recommender System with Merlin. RecSys (2022)
Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer
End-to-End Session-Based Recommendation on GPU. RecSys (2021)
Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeong Min Lee, Ronay Ak, Even Oldridge
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. RecSys (2021)
Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Md Yasin Kabir, Even Oldridge
Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. CoRR (2021)
Benedikt Schifferer, Chris Deotte, Jean-Francois Puget, Gabriel de Souza Pereira Moreira, Gilberto Titericz, Jiwei Liu, Ronay Ak
Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations. WebTour@WSDM (2021)
Seung Hwan Bang, Ronay Ak, Anantha Narayanan, Yung-Tsun Tina Lee, Hyunbo Cho
A survey on knowledge transfer for manufacturing data analytics. Comput. Ind. 104 (2019)
Max Ferguson, Ronay Ak, Yung-Tsun Tina Lee, Kincho H. Law
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning. CoRR (2018)
Max Ferguson, Ronay Ak, Yung-Tsun Tina Lee, Kincho H. Law
Automatic localization of casting defects with convolutional neural networks. IEEE BigData (2017)
Ronay Ak, Olga Fink, Enrico Zio
Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 27 (8) (2016)
Alexander Brodsky, Guodong Shao, Mohan Krishnamoorthy, Anantha Narayanan, Daniel A. Menascé, Ronay Ak
Analysis and optimization in smart manufacturing based on a reusable knowledge base for process performance models. IEEE BigData (2015)
David Lechevalier, Steven Hudak, Ronay Ak, Y. Tina Lee, Sebti Foufou
A neural network meta-model and its application for manufacturing. IEEE BigData (2015)
Ronay Ak, Valeria Vitelli, Enrico Zio
An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction. IEEE Trans. Neural Networks Learn. Syst. 26 (11) (2015)
Ronay Ak, Raunak Bhinge
Data analytics and uncertainty quantification for energy prediction in manufacturing. IEEE BigData (2015)
Ronay Ak, Yan-Fu Li, Valeria Vitelli, Enrico Zio, Enrique López Droguett, Carlos Magno Couto Jacinto
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment. Expert Syst. Appl. 40 (4) (2013)