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Ronay Ak
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2020 – today
- 2024
- [i4]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 abs/2407.15831 (2024) - [i3]Gabriel de Souza Pereira Moreira, Ronay Ak, Benedikt Schifferer, Mengyao Xu, Radek Osmulski, Even Oldridge:
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG. CoRR abs/2409.07691 (2024) - 2022
- [c10]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: 4816-4817 - [c9]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: 632-635 - [c8]Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira:
Training and Deploying Multi-Stage Recommender Systems. RecSys 2022: 706-707 - 2021
- [c7]Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge:
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. RecSys 2021: 143-153 - [c6]Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer:
End-to-End Session-Based Recommendation on GPU. RecSys 2021: 831-833 - [c5]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: 22-28 - [i2]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 abs/2107.05124 (2021)
2010 – 2019
- 2019
- [j4]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: 116-130 (2019) - [e2]Chaitanya K. Baru, Jun Huan, Latifur Khan, Xiaohua Hu, Ronay Ak, Yuanyuan Tian, Roger S. Barga, Carlo Zaniolo, Kisung Lee, Yanfang (Fanny) Ye:
2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019. IEEE 2019, ISBN 978-1-7281-0858-2 [contents] - 2018
- [i1]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 abs/1808.02518 (2018) - 2017
- [c4]Max Ferguson, Ronay Ak, Yung-Tsun Tina Lee, Kincho H. Law:
Automatic localization of casting defects with convolutional neural networks. IEEE BigData 2017: 1726-1735 - 2016
- [j3]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): 1734-1747 (2016) - [e1]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 IEEE International Conference on Big Data (IEEE BigData 2016), Washington DC, USA, December 5-8, 2016. IEEE Computer Society 2016, ISBN 978-1-4673-9005-7 [contents] - 2015
- [j2]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): 2787-2800 (2015) - [c3]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: 1418-1427 - [c2]David Lechevalier, Steven Hudak, Ronay Ak, Y. Tina Lee, Sebti Foufou:
A neural network meta-model and its application for manufacturing. IEEE BigData 2015: 1428-1435 - [c1]Ronay Ak, Raunak Bhinge:
Data analytics and uncertainty quantification for energy prediction in manufacturing. IEEE BigData 2015: 2782-2784 - 2013
- [j1]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): 1205-1212 (2013)
Coauthor Index
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last updated on 2024-10-15 00:22 CEST by the dblp team
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