Toby Hocking

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 12

Top Topics

Labor Intensive

Reliable Detection

Top Venues

ACM Trans. Comput. Hum. Interact.

Comput. Biol. Medicine

J. Comput. Graph. Stat.

Publications

Ana Paula Chaves, Jesse Egbert, Toby Hocking, Eck Doerry, Marco Aurélio Gerosa
Chatbots Language Design: The Influence of Language Variation on User Experience with Tourist Assistant Chatbots. ACM Trans. Comput. Hum. Interact. 29 (2) (2022)
Avinash Barnwal, Hyunsu Cho, Toby Hocking
Survival Regression with Accelerated Failure Time Model in XGBoost. J. Comput. Graph. Stat. 31 (4) (2022)
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
A greedy graph search algorithm based on changepoint analysis for automatic QRS complex detection. Comput. Biol. Medicine 130 (2021)
Ana Paula Chaves, Jesse Egbert, Toby Hocking, Eck Doerry, Marco Aurélio Gerosa
Chatbots language design: the influence of language variation on user experience. CoRR (2021)
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
A Greedy Graph Search Algorithm Based on Changepoint Analysis for Automatic QRS Complex Detection. CoRR (2021)
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection. CoRR (2021)
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
A Graph-constrained Changepoint Detection Approach for ECG Segmentation. EMBC (2020)
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection. ACSSC (2020)
Atiyeh Fotoohinasab, Toby Hocking, Fatemeh Afghah
A Graph-constrained Changepoint Detection Approach for ECG Segmentation. CoRR (2020)
Toby Hocking, Joseph Vargovich
Linear time dynamic programming for the exact path of optimal models selected from a finite set. CoRR (2020)
Robert Maidstone, Toby Hocking, Guillem Rigaill, Paul Fearnhead
On optimal multiple changepoint algorithms for large data. Stat. Comput. 27 (2) (2017)
Alexandre Drouin, Toby Hocking, François Laviolette
Maximum Margin Interval Trees. NIPS (2017)
Toby Hocking, Guillem Rigaill, Guillaume Bourque
PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data. ICML (2015)
Toby Hocking, Guillem Rigaill, Jean-Philippe Vert, Francis R. Bach
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression. ICML (3) (2013)
Toby Hocking, Jean-Philippe Vert, Francis R. Bach, Armand Joulin
Clusterpath: an Algorithm for Clustering using Convex Fusion Penalties. ICML (2011)