Transceiver circuits for optical communications. - Yuriy M. Greshishchev; Franz Dielacher; Michael Flynn; Donhee Ham; Naresh R. Shanbhag; Takuji Yamamoto (ISSCC, 2010)

Automatic Binding Point and Surface Helix Angle Measurement in Historic Weft-Faced Compound Weave Figured Silks. - Nilesh Patel; Michael Flynn; Andrey Semenov; Julia Galliker (ICMLA (2), 2013)

Data converter reflections: 19 papers from the last ten years that deserve a second look. - David Robertson 002; Aaron Buchwald; Michael Flynn; Hae-Seung Lee; Un-Ku Moon; Boris Murmann (ESSCIRC, 2016)

Is rotation forest the best classifier for problems with continuous features? - Anthony J. Bagnall; Aaron Bostrom; Gavin C. Cawley; Michael Flynn; James Large; Jason Lines (CoRR, 2018)

The UEA multivariate time series classification archive, 2018. - Anthony J. Bagnall; Hoang Anh Dau; Jason Lines; Michael Flynn; James Large; Aaron Bostrom; Paul Southam; Eamonn J. Keogh (CoRR, 2018)

The Contract Random Interval Spectral Ensemble (c-RISE): The Effect of Contracting a Classifier on Accuracy. - Michael Flynn; James Large; Tony Bagnall (HAIS, 2019)

Classifying Flies Based on Reconstructed Audio Signals. - Michael Flynn; Anthony J. Bagnall (IDEAL (2), 2019)

WHAM!: Extending Speech Separation to Noisy Environments. - Gordon Wichern; Joe Antognini; Michael Flynn; Licheng Richard Zhu; Emmett McQuinn; Dwight Crow; Ethan Manilow; Jonathan Le Roux (INTERSPEECH, 2019)

On the Usage and Performance of the Hierarchical Vote Collective of Transformation-Based Ensembles Version 1.0 (HIVE-COTE v1.0). - Anthony J. Bagnall; Michael Flynn; James Large; Jason Lines; Matthew Middlehurst (AALTD@PKDD/ECML, 2020)

A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0. - Anthony J. Bagnall; Michael Flynn; James Large; Jason Lines; Matthew Middlehurst (CoRR, 2020)

Benchmarking Multivariate Time Series Classification Algorithms. - Alejandro Pasos Ruiz; Michael Flynn; Anthony J. Bagnall (CoRR, 2020)

Using Event-Based Web-Scraping Methods and Bidirectional Transformers to Characterize COVID-19 Outbreaks in Food Production and Retail Settings. - Joseph Miano; Charity Hilton; Vasu Gangrade; Mary Pomeroy; Jacqueline Siven; Michael Flynn; Frances Tilashalski (AIME, 2021)

The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances. - Alejandro Pasos Ruiz; Michael Flynn; James Large; Matthew Middlehurst; Anthony J. Bagnall (Data Min. Knowl. Discov., 2021)

HIVE-COTE 2.0: a new meta ensemble for time series classification. - Matthew Middlehurst; James Large; Michael Flynn; Jason Lines; Aaron Bostrom; Anthony J. Bagnall (Mach. Learn., 2021)

Composable Core-sets for Diversity Approximation on Multi-Dataset Streams. - Stephanie Wang; Michael Flynn; Fangyu Luo (CoRR, 2023)