Jake S. Rhodes

23 papers B 1C 3Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Forest-Guided Semantic Transport for Label-Supervised Manifold Alignment.
CoRR
Adrien Aumon, Myriam Lizotte, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2026 J jnl
Scalable Tree Ensemble Proximities in Python.
CoRR
Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2025 J jnl
Freeze, Diffuse, Decode: Geometry-Aware Adaptation of Pretrained Transformer Embeddings for Antimicrobial Peptide Design.
CoRR
Pankhil Gawade, Adam Izdebski, Myriam Lizotte, Kevin R. Moon, Jake S. Rhodes, Guy Wolf, Ewa Szczurek
2025 — conf
Guided Manifold Alignment With Geometry-Regularized Twin Autoencoders.
ICDM (Workshops)
Jake S. Rhodes, Adam G. Rustad, Marshall S. Nielsen, Morgan Chase McClellan, Dallan Gardner, Dawson Hedges
2025 J jnl
Guided Manifold Alignment with Geometry-Regularized Twin Autoencoders.
CoRR
Jake S. Rhodes, Adam G. Rustad, Marshall S. Nielsen, Morgan Chase McClellan, Dallan Gardner, Dawson Hedges
2025 C conf
Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification.
ICMLA
Jake S. Rhodes, Adam G. Rustad, Sofia Pelagalli Maia, Evan Thacker, Hyunmi Choi, Jose Gutierrez, Tatjana Rundek, Ben Shaw
2025 J jnl
Label-Guided Imputation via Forest-Based Proximities for Improved Time Series Classification.
CoRR
Jake S. Rhodes, Adam G. Rustad, Sofia Pelagalli Maia, Evan Thacker, Hyunmi Choi, Jose Gutierrez, Tatjana Rundek, Ben Shaw
2025 C conf
Localized Uncertainty Quantification in Random Forests via Proximities.
ICMLA
Jake S. Rhodes, Scott D. Brown, J. Riley Wilkinson
2025 J jnl
Localized Uncertainty Quantification in Random Forests via Proximities.
CoRR
Jake S. Rhodes, Scott D. Brown, J. Riley Wilkinson
2025 J jnl
Random Forest Autoencoders for Guided Representation Learning.
CoRR
Adrien Aumon, Shuang Ni, Myriam Lizotte, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2025 J jnl
The Generalized Proximity Forest.
CoRR
Ben Shaw, Adam G. Rustad, Sofia Pelagalli Maia, Jake S. Rhodes, Kevin R. Moon
2024 — conf
Enhancing Supervised Visualization Through Autoencoder and Random Forest Proximities for Out-of-Sample Extension.
MLSP
Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2024 J jnl
Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension.
CoRR
Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
2024 J jnl
Forest Proximities for Time Series.
CoRR
Ben Shaw, Jake S. Rhodes, Soukaina Filali Boubrahimi, Kevin R. Moon
2024 C conf
Graph Integration for Diffusion-Based Manifold Alignment.
ICMLA
Jake S. Rhodes, Adam G. Rustad
2024 J jnl
Graph Integration for Diffusion-Based Manifold Alignment.
CoRR
Jake S. Rhodes, Adam G. Rustad
2024 B conf
Random Forest-Supervised Manifold Alignment.
IEEE Big Data
Jake S. Rhodes, Adam G. Rustad
2024 J jnl
Random Forest-Supervised Manifold Alignment.
CoRR
Jake S. Rhodes, Adam G. Rustad
2023 J jnl
Geometry- and Accuracy-Preserving Random Forest Proximities.
IEEE Trans. Pattern Anal. Mach. Intell.
Jake S. Rhodes, Adele Cutler, Kevin R. Moon
2023 J jnl
Supervised Manifold Learning via Random Forest Geometry-Preserving Proximities.
CoRR
Jake S. Rhodes
2022 J jnl
Geometry- and Accuracy-Preserving Random Forest Proximities.
CoRR
Jake S. Rhodes, Adele Cutler, Kevin R. Moon
2021 — conf
Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration.
SSP
Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon
2020 J jnl
Supervised Visualization for Data Exploration.
CoRR
Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon