Jake S. Rhodes

23 papers B 1C 3Journal 16Unranked 3

Year	Rank	Type	Title / 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