Fourth Workshop on Reproducible Research in Pattern Recognition (satellite event of ICPR 2022)

Time	Event	(+)
09:00 - 09:05	Workshop Introduction from organizers - Workshop program presentation and discussions session introduction by Daniel Lopresti
09:05 - 09:30	RR Presentations - Adrien Krähenbühl	(+)
09:05 - 09:30	› The Fuzzy Boundaries of Reproducibility - Daniel Lopresti
09:30 - 10:50	Short Companion paper - Miguel Colom	(+)
09:30 - 09:50	› A novel pattern-based edit distance for automatic log parsing: Implementation and reproducibility notes - Maxime Raynal
09:30 - 09:50	› On Challenging Aspects of Reproducibility in Deep Anomaly Detection - Konstantin Kirchheim
10:10 - 10:30	› On the implementation of baselines and Lightweight Conditional Model Extrapolation (LIMES) for class-prior shift - Paulina Tomaszewska
10:30 - 09:50	› Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification - Jens Bayer
10:50 - 11:05	Coffee break
11:05 - 11:25	RR Results: Special Track Deep Learning - Bertrand Kerautret	(+)
11:05 - 11:25	› Enhancing GNN feature modeling for document information extration using transformers - Mouad Hamri
11:25 - 12:50	RR Presentations - Daniel Lopresti	(+)
11:25 - 11:50	› Development Efforts for Replicable Research: Feedback Experience and Perspectives - Miguel Colom and Bertrand Kerautret
11:50 - 13:05	Reproducible Research Discussions - Daniel Lopresti	(+)
11:50 - 12:50	› Group discussions on Reproducible Research - Daniel Lopresti, Computer Science & Engineering Department
12:50 - 13:05	› Back report of RR discussions - Daniel-l Lopresti - Lehigh University, Bethlehem PA 18015, USA

09:00 - 09:05

Workshop Introduction from organizers - Workshop program presentation and discussions session introduction by Daniel Lopresti

09:05 - 09:30

RR Presentations - Adrien Krähenbühl

(+)

09:05 - 09:30

› The Fuzzy Boundaries of Reproducibility - Daniel Lopresti

09:30 - 10:50

Short Companion paper - Miguel Colom

(+)

09:30 - 09:50

› A novel pattern-based edit distance for automatic log parsing: Implementation and reproducibility notes - Maxime Raynal

09:30 - 09:50

› On Challenging Aspects of Reproducibility in Deep Anomaly Detection - Konstantin Kirchheim

10:10 - 10:30

› On the implementation of baselines and Lightweight Conditional Model Extrapolation (LIMES) for class-prior shift - Paulina Tomaszewska

10:30 - 09:50

› Companion Paper: Deep Saliency Map Generators for Multispectral Video Classification - Jens Bayer

10:50 - 11:05

Coffee break

11:05 - 11:25

RR Results: Special Track Deep Learning - Bertrand Kerautret

(+)

11:05 - 11:25

› Enhancing GNN feature modeling for document information extration using transformers - Mouad Hamri

11:25 - 12:50

RR Presentations - Daniel Lopresti

(+)

11:25 - 11:50

› Development Efforts for Replicable Research: Feedback Experience and Perspectives - Miguel Colom and Bertrand Kerautret

11:50 - 13:05

Reproducible Research Discussions - Daniel Lopresti

(+)

11:50 - 12:50

› Group discussions on Reproducible Research - Daniel Lopresti, Computer Science & Engineering Department

12:50 - 13:05

› Back report of RR discussions - Daniel-l Lopresti - Lehigh University, Bethlehem PA 18015, USA