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Paula Lauren
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Year
Fast and accurate spatiotemporal fusion based upon extreme learning machine
X Liu, C Deng, S Wang, GB Huang, B Zhao, P Lauren
IEEE Geoscience and Remote Sensing Letters 13 (12), 2039-2043, 2016
922016
Generating word embeddings from an extreme learning machine for sentiment analysis and sequence labeling tasks
P Lauren, G Qu, J Yang, P Watta, GB Huang, A Lendasse
Cognitive Computation 10, 625-638, 2018
702018
Discriminant document embeddings with an extreme learning machine for classifying clinical narratives
P Lauren, G Qu, F Zhang, A Lendasse
Neurocomputing 277, 129-138, 2018
492018
ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines
A Akusok, S Baek, Y Miche, KM Björk, R Nian, P Lauren, A Lendasse
Neurocomputing 205, 247-263, 2016
252016
A conversational user interface for stock analysis
P Lauren, P Watta
2019 IEEE International Conference on Big Data (Big Data), 5298-5305, 2019
192019
A low-dimensional vector representation for words using an extreme learning machine
P Lauren, G Qu, GB Huang, P Watta, A Lendasse
2017 international joint conference on neural networks (IJCNN), 1817-1822, 2017
152017
Convolutional neural network for clinical narrative categorization
P Lauren, G Qu, P Watta
2017 IEEE International Conference on Big Data (Big Data), 2001-2008, 2017
122017
ELMVIS+: improved nonlinear visualization technique using cosine distance and extreme learning machines
A Akusok, Y Miche, KM Björk, R Nian, P Lauren, A Lendasse
Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II …, 2016
102016
Work-in-Progress: Integrating Generative AI with Evidence-based Learning Strategies in Computer Science and Engineering Education
P Lauren, P Watta
2023 IEEE Frontiers in Education Conference (FIE), 1-5, 2023
82023
Clinical narrative classification using discriminant word embeddings with elm
P Lauren, G Qu, F Zhang, A Lendasse
2016 International Joint Conference on Neural Networks (IJCNN), 2931-2938, 2016
82016
Adding reliability to ELM forecasts by confidence intervals
A Akusok, A Gritsenko, Y Miche, KM Björk, R Nian, P Lauren, A Lendasse
Neurocomputing 219, 232-241, 2017
72017
A Comparative Survey of Open-Source Platforms for Chat-Based Generative AI
PK Kurivella, P Lauren
Proceedings of the Future Technologies Conference, 164-185, 2023
32023
A Study of Course-Based Undergraduate Research Experiences and the Challenges and Opportunities for Computer Science
P Lauren
Michigan Academician - Michigan Academy of Science, Arts & Letters 47 (3), 25, 2021
32021
Discriminant word embeddings on clinical narratives
P Lauren, G Qu, F Zhang
5th Workshop on Data Mining for Medicine and Healthcare, 74, 2016
22016
Evaluating confidence intervals for ELM predictions
A Akusok, Y Miche, KM Björk, R Nian, P Lauren, A Lendasse
Proceedings of ELM-2015 Volume 2: Theory, Algorithms and Applications (II …, 2016
22016
A systemic transformation of an arts and sciences curriculum to nurture inclusive excellence of all students through course-based research experiences
F Delogu, M Nelson, SC Timmons, M Weinstein, B Bhattacharya, ...
Frontiers in Education 8, 1142572, 2023
12023
Reconstructing Word Representations from Pre-trained Subword Embeddings
P Lauren
Proceedings of the 2022 International Conference on Computational Science …, 2022
12022
Constraining weighted word co-occurrence frequencies in word embeddings
P Lauren
2021 IEEE International Conference on Big Data (Big Data), 5193-5198, 2021
12021
Meaningful Change Detection in Indoor Environments Using CLIP Models and NeRF-based Image Synthesis
E Martinson, P Lauren
1
Modelling metaphorical meaning: A systematic test of the predication algorithm
H Al-Azary, JN Reid, P Lauren, AN Katz
Memory & Cognition, 1-14, 2024
2024
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Articles 1–20