Paula Lauren

According to our database, Paula Lauren authored at least 12 papers between 2016 and 2023.

Collaborative distances:

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

2023

Work-in-Progress: Integrating Generative AI with Evidence-based Learning Strategies in Computer Science and Engineering Education.

Paula Lauren, Paul Watta

Proceedings of the IEEE Frontiers in Education Conference, 2023

2022

Reconstructing Word Representations from Pre-trained Subword Embeddings.

Paula Lauren

Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021

Constraining Weighted Word Co-occurrence Frequencies in Word Embeddings.

Paula Lauren

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

A Conversational User Interface for Stock Analysis.

Paula Lauren, Paul Watta

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Discriminant document embeddings with an extreme learning machine for classifying clinical narratives.

Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse

Neurocomputing, 2018

Generating Word Embeddings from an Extreme Learning Machine for Sentiment Analysis and Sequence Labeling Tasks.

Paula Lauren, Guangzhi Qu, Jucheng Yang, Paul Watta, Guang-Bin Huang, Amaury Lendasse

Cogn. Comput., 2018

2017

Adding reliability to ELM forecasts by confidence intervals.

Anton Akusok, Andrey Gritsenko, Yoan Miche, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse

Neurocomputing, 2017

A low-dimensional vector representation for words using an extreme learning machine.

Paula Lauren, Guangzhi Qu, Guang-Bin Huang, Paul Watta, Amaury Lendasse

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Convolutional neural network for clinical narrative categorization.

Paula Lauren, Guangzhi Qu, Paul Watta

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

2016

Fast and Accurate Spatiotemporal Fusion Based Upon Extreme Learning Machine.

Xun Liu, Chenwei Deng, Shuigen Wang, Guang-Bin Huang, Baojun Zhao, Paula Lauren

IEEE Geosci. Remote. Sens. Lett., 2016

ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines.

Anton Akusok, Stephen Baek, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Paula Lauren, Amaury Lendasse

Neurocomputing, 2016

Clinical narrative classification using discriminant word embeddings with ELM.

Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016