Toby Dylan Hocking

36 papers A 1Misc 1Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Same/Other/All K-Fold Cross-Validation for Estimating Similarity of Patterns in Data Subsets. Stat. Anal. Data Min. Toby Dylan Hocking, Gabrielle Thibault, Cameron Scott Bodine, Paul Nelson Arellano, Alexander F. Shenkin, Olivia Jasmine Lindly
2025	J	`jnl`	Cross-validation for training and testing co-occurrence network inference algorithms. BMC Bioinform. Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking
2025	J	`jnl`	Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples. CoRR Daniel Agyapong, Briana H. Beatty, Peter G. Kennedy, Toby Dylan Hocking
2025	J	`jnl`	Interval Regression: A Comparative Study with Proposed Models. CoRR Tung L. Nguyen, Toby Dylan Hocking
2025	J	`jnl`	Penalty Learning for Optimal Partitioning using Multilayer Perceptron. Stat. Comput. Tung L. Nguyen, Toby Dylan Hocking
2024	J	`jnl`	Deep Learning Approach for Changepoint Detection: Penalty Parameter Optimization. CoRR Tung L. Nguyen, Toby Dylan Hocking
2024	J	`jnl`	Efficient line search for optimizing Area Under the ROC Curve in gradient descent. CoRR Jadon Fowler, Toby Dylan Hocking
2024	J	`jnl`	Finite Sample Complexity Analysis of Binary Segmentation. CoRR Toby Dylan Hocking
2024	J	`jnl`	Functional Labeled Optimal Partitioning. J. Comput. Graph. Stat. Jacob M. Kaufman, Alyssa J. Stenberg, Toby Dylan Hocking
2024	J	`jnl`	SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets. CoRR Toby Dylan Hocking, Gabrielle Thibault, Cameron Scott Bodine, Paul Nelson Arellano, Alexander F. Shenkin, Olivia Jasmine Lindly
2023	J	`jnl`	A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss. CoRR Kyle R. Rust, Toby Dylan Hocking
2023	J	`jnl`	Cross-Validation for Training and Testing Co-occurrence Network Inference Algorithms. CoRR Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks, Toby Dylan Hocking
2023	J	`jnl`	Labeled optimal partitioning. Comput. Stat. Toby Dylan Hocking, Anuraag Srivastava
2023	J	`jnl`	Optimizing ROC Curves with a Sort-Based Surrogate Loss for Binary Classification and Changepoint Detection. J. Mach. Learn. Res. Jonathan Hillman, Toby Dylan Hocking
2023	J	`jnl`	Predicting Neuromuscular Engagement to Improve Gait Training With a Robotic Ankle Exoskeleton. IEEE Robotics Autom. Lett. Karl Harshe, Jack R. Williams, Toby Dylan Hocking, Zachary F. Lerner
2023	J	`jnl`	gfpop: An J. Stat. Softw. Vincent Runge, Toby Dylan Hocking, Gaetano Romano, Fatemeh Afghah, Paul Fearnhead, Guillem Rigaill
2022	—	`conf`	Classifying Imbalanced Data with AUM Loss. TransAI Joseph R. Barr, Toby Dylan Hocking, Garinn Morton, Tyler Thatcher, Peter Shaw
2022	J	`jnl`	Functional Labeled Optimal Partitioning. CoRR Toby Dylan Hocking, Jacob M. Kaufman, Alyssa J. Stenberg
2022	J	`jnl`	Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data. J. Stat. Softw. Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead, Guillaume Bourque
2022	—	`conf`	Graph Embedding: A Methodological Survey. TransAI Joseph R. Barr, Peter Shaw, Faisal N. Abu-Khzam, Tyler Thatcher, Toby Dylan Hocking
2022	—	`conf`	Interpretable linear models for predicting security vulnerabilities in source code. TransAI Toby Dylan Hocking, Joseph R. Barr, Tyler Thatcher
2022	J	`jnl`	Linear Time Dynamic Programming for Computing Breakpoints in the Regularization Path of Models Selected From a Finite Set. J. Comput. Graph. Stat. Joseph Vargovich, Toby Dylan Hocking
2021	A	`conf`	Fuzz Testing the Compiled Code in R Packages. ISSRE Akhila Chowdary Kolla, Alex Groce, Toby Dylan Hocking
2021	J	`jnl`	Increased peak detection accuracy in over-dispersed ChIP-seq data with supervised segmentation models. BMC Bioinform. Arnaud Liehrmann, Guillem Rigaill, Toby Dylan Hocking
2021	J	`jnl`	Optimizing ROC Curves with a Sort-Based Surrogate Loss Function for Binary Classification and Changepoint Detection. CoRR Jonathan Hillman, Toby Dylan Hocking
2021	J	`jnl`	Wide-to-tall Data Reshaping Using Regular Expressions and the nc Package. R J. Toby Dylan Hocking
2020	J	`jnl`	Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data. J. Mach. Learn. Res. Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead, Guillaume Bourque
2020	J	`jnl`	Labeled Optimal Partitioning. CoRR Toby Dylan Hocking, Anuraag Srivastava
2020	Misc	`conf`	Machine Learning Algorithms for Simultaneous Supervised Detection of Peaks in Multiple Samples andCell Types. PSB Toby Dylan Hocking, Guillaume Bourque
2020	J	`jnl`	Survival regression with accelerated failure time model in XGBoost. CoRR Avinash Barnwal, Hyunsu Cho, Toby Dylan Hocking
2019	J	`jnl`	Comparing namedCapture with other R packages for regular expressions. R J. Toby Dylan Hocking
2017	J	`jnl`	Maximum Margin Interval Trees. CoRR Alexandre Drouin, Toby Dylan Hocking, François Laviolette
2017	J	`jnl`	Optimizing ChIP-seq peak detectors using visual labels and supervised machine learning. Bioinform. Toby Dylan Hocking, Patricia Goerner-Potvin, Andreanne Morin, Xiaojian Shao, Tomi Pastinen, Guillaume Bourque
2014	J	`jnl`	SegAnnDB: interactive Web-based genomic segmentation. Bioinform. Toby Dylan Hocking, Valentina Boeva, Guillem Rigaill, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Olivier Delattre, Wilfrid Richer, Franck Bourdeaut, Miyuki Suguro, Masao Seto, Francis R. Bach, Jean-Philippe Vert
2014	J	`jnl`	Support vector comparison machines. CoRR Toby Dylan Hocking, Supaporn Spanurattana, Masashi Sugiyama
2013	J	`jnl`	Learning smoothing models of copy number profiles using breakpoint annotations. BMC Bioinform. Toby Dylan Hocking, Gudrun Schleiermacher, Isabelle Janoueix-Lerosey, Valentina Boeva, Julie Cappo, Olivier Delattre, Francis R. Bach, Jean-Philippe Vert