Scott C. Lowe

According to our database, Scott C. Lowe authored at least 22 papers between 2019 and 2025.

Collaborative distances:

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

2025

A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level.

Johanna Orsholm, John Quinto, Hannu Autto, Gaia Banelyte, Nicolas Chazot, Jeremy deWaard, Stephanie deWaard, Arielle Farrell, Brendan Furneaux, Bess Hardwick, Nao Ito, Amlan Kar, Oula Kalttopää, Deirdre Kerdraon, Erik Kristensen, Jaclyn T. A. McKeown, Tommi Mononen, Ellen Nein, Hanna Rogers, Tomas Roslin, Paula Schmitz, Jayme Sones, Maija Sujala, Amy Thompson, Evgeny V. Zakharov, Iuliia Zarubiieva, Akshita Gupta, Scott C. Lowe, Graham W. Taylor

CoRR, July, 2025

Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens.

Alyson East, Elizabeth G. Campolongo, Luke Meyers, S. M. Rayeed, Samuel Stevens, Iuliia Zarubiieva, Isadora E. Fluck, Jennifer C. Girón, Maximiliane Jousse, Scott C. Lowe, Kayla I Perry, Isabelle Betancourt, Noah Charney, Evan Donoso, Nathan Fox, Kim J. Landsbergen, Ekaterina Nepovinnykh, Michelle Ramirez, Parkash Singh, Khum Thapa-Magar, Matthew J. Thompson, Evan Waite, Tanya Y. Berger-Wolf, Hilmar Lapp, Paula M. Mabee, Graham Taylor, Sydne Record

CoRR, May, 2025

Enhancing DNA Foundation Models to Address Masking Inefficiencies.

Monireh Safari, Pablo Millan Arias, Scott C. Lowe, Lila Kari, Angel X. Chang, Graham W. Taylor

CoRR, February, 2025

CLIBD: Bridging Vision and Genomics for Biodiversity Monitoring at Scale.

ZeMing Gong, Austin T. Wang, Xiaoliang Huo, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Towards a Taxonomy Machine: A Training Set of 5.6 Million Arthropod Images.

Dirk Steinke, Sujeevan Ratnasingham, Jireh Agda, Hamzah Ait Boutou, Isaiah C. H. Box, Mary Boyle, Dean Chan, Corey Feng, Scott C. Lowe, Jaclyn T. A. McKeown, Joschka McLeod, Alan G. Sanchez, Ian Smith, Spencer Walker, Catherine Y.-Y. Wei, Paul D. N. Hebert

Data, 2024

System 2 Reasoning Capabilities Are Nigh.

Scott C. Lowe

CoRR, 2024

An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders.

Scott C. Lowe, Joakim Bruslund Haurum, Sageev Oore, Thomas B. Moeslund, Graham W. Taylor

CoRR, 2024

BIOSCAN-CLIP: Bridging Vision and Genomics for Biodiversity Monitoring at Scale.

ZeMing Gong, Austin T. Wang, Joakim Bruslund Haurum, Scott C. Lowe, Graham W. Taylor, Angel X. Chang

CoRR, 2024

BenthicNet: A global compilation of seafloor images for deep learning applications.

Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O'Brien, Elizabeth S. Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

CoRR, 2024

BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity.

Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul W. Fieguth, Angel X. Chang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Hierarchical Multi-Label Classification with Missing Information for Benthic Habitat Imagery.

Isaac Xu, Benjamin Misiuk, Scott C. Lowe, Martin Gillis, Thomas Trappenberg, Craig J. Brown

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

The Beginning of the AI-Enabled Preventative PAP Therapy Era: A First-in-Human Proof of Concept Interventional Study.

Meagan Sinclair, Hamed Hanafi Alamdari, Julia Paffile, Kamal El-Sankary, Scott C. Lowe, Stephen Driscoll, Sageev Oore, Heather Tomson, Gregory Begin, Guillermo Aristi, Michael Schmidt, David C. Roach, Thomas Penzel, Ingo Fietze, Sanjay R. Patel, Reena Mehra, Debra Morrison

IEEE Trans. Biomed. Eng., October, 2023

BarcodeBERT: Transformers for Biodiversity Analysis.

Pablo Millan Arias, Niousha Sadjadi, Monireh Safari, ZeMing Gong, Austin T. Wang, Scott C. Lowe, Joakim Bruslund Haurum, Iuliia Zarubiieva, Dirk Steinke, Lila Kari, Angel X. Chang, Graham W. Taylor

CoRR, 2023

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset.

Zahra Gharaee, ZeMing Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott C. Lowe, Jaclyn T. A. McKeown, Chris C. Y. Ho, Joschka McLeod, Yi-Yun C. Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel X. Chang, Graham W. Taylor, Paul W. Fieguth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

High Frequency-Low Amplitude Oscillometry: Continuous Unobtrusive Monitoring of Respiratory Function on PAP Machines.

Hamed Hanafi Alamdari, Luke Hacquebard, Stephen Driscoll, Kamal El-Sankary, David C. Roach, Robin LeBlanc, Scott C. Lowe, Sageev Oore, Thomas Penzel, Ingo Fietze, Michael Schmidt, Debra Morrison

IEEE Trans. Biomed. Eng., 2022

Echofilter: A Deep Learning Segmentation Model Improves the Automation, Standardization, and Timeliness for Post-Processing Echosounder Data in Tidal Energy Streams.

Scott C. Lowe, Louise P. McGarry, Jessica Douglas, Jason Newport, Sageev Oore, Christopher Whidden, Daniel J. Hasselman

CoRR, 2022

Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators.

Scott C. Lowe, Robert Earle, Jason d'Eon, Thomas Trappenberg, Sageev Oore

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Label-free Monitoring of Self-Supervised Learning Progress.

Isaac Xu, Scott C. Lowe, Thomas Trappenberg

Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2021

LogAvgExp Provides a Principled and Performant Global Pooling Operator.

Scott C. Lowe, Thomas Trappenberg, Sageev Oore

CoRR, 2021

Logical Activation Functions: Logit-space equivalents of Boolean Operators.

Scott C. Lowe, Robert Earle, Jason d'Eon, Thomas Trappenberg, Sageev Oore

CoRR, 2021

2019

Program synthesis performance constrained by non-linear spatial relations in Synthetic Visual Reasoning Test.

Lu Yihe, Scott C. Lowe, Penelope A. Lewis, Mark C. W. van Rossum

CoRR, 2019

Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls.

Nicholas Meade, Nicholas Barreyre, Scott C. Lowe, Sageev Oore

Proceedings of the Tenth International Conference on Computational Creativity, 2019