| 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 | 103 | 2016 |
| 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 (4), 625-638, 2018 | 72 | 2018 |
| 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 | 52 | 2018 |
| 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 | 28 | 2016 |
| 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 | 25 | 2023 |
| A conversational user interface for stock analysis P Lauren, P Watta 2019 IEEE International Conference on Big Data (Big Data), 5298-5305, 2019 | 21 | 2019 |
| 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 | 19 | 2017 |
| 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 | 11 | 2017 |
| 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 | 11 | 2016 |
| 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 | 9 | 2023 |
| 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 | 8 | 2017 |
| 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 | 8 | 2016 |
| 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 | 5 | 2021 |
| Meaningful Change Detection in Indoor Environments Using CLIP Models and NeRF-Based Image Synthesis E Martinson, P Lauren 2024 21st International Conference on Ubiquitous Robots (UR), 603-610, 2024 | 4 | 2024 |
| 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 | 4 | 2023 |
| Constraining weighted word co-occurrence frequencies in word embeddings P Lauren 2021 IEEE International Conference on Big Data (Big Data), 5193-5198, 2021 | 4 | 2021 |
| Work-in-Progress: Course-based Undergraduate Research Experience (CURE) with Generative AI in a Computer Science Course P Lauren 2024 IEEE Frontiers in Education Conference (FIE), 1-5, 2024 | 2 | 2024 |
| Reconstructing Word Representations from Pre-trained Subword Embeddings P Lauren Proceedings of the 2022 International Conference on Computational Science …, 2022 | 2 | 2022 |
| 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 | 2 | 2016 |
| Discriminant word embeddings on clinical narratives P Lauren, G Qu, F Zhang 5th Workshop on Data Mining for Medicine and Healthcare, 74, 2016 | 2 | 2016 |
