Title
Really Open Services and Tools for Reproducible Research
Name
Marcus LiwickiAbstract
In my short pitch I will emphasize the importance of Open Research Tools and Services for better benefiting from one another in Document Analysis Research (DAR) and beyond. Progress in DAR is comparably slow due to the slow process of publications and presentations at conferences and workshops. Often, the methods and/or data are kept private making it hard to verify and reproduce the approaches. If the algorithms are published, it is typically done by putting the source code into github repositories or sharing it elsewhere. While this is already helpful for engineering experts, many researchers struggle during the installation and compilation of the code. I suggest adopting means from other research communities (bioinformatics, machine learning) for ensuring reproducible research, accelerating research processes, and increasing the visibility of DAR. In my presentation I will mention some recent approaches towards reproducibility and outline future ideas on mutual community benefit.
Short Bio
Marcus Liwicki received his M.S. degree in Computer Science from the Free University of Berlin, Germany, in 2004, his PhD degree from the University of Bern, Switzerland, in 2007, and his habilitation degree at the Technical University of Kaiserslautern, Germany, in 2011. Currently he is an apl.-professor in the University of Kaiserslautern and a senior assistant in the University of Fribourg. His research interests include machine learning, pattern recognition, artificial intelligence, human computer interaction, digital humanities, knowledge management, ubiquitous intuitive input devices, document analysis, and graph matching. From October 2009 to March 2010 he visited Kyushu University (Fukuoka, Japan) as a research fellow (visiting professor), supported by the Japanese Society for the Promotion of Science. In 2015, at the young age of 32, he received the ICDAR young investigator award, a bi-annual award acknowledging outstanding achievements of in pattern recognition for researchers up to the age of 40.
Marcus Liwicki is a member of the IAPR, editor or regular reviewer for international journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Audio, Speech and Language Processing, International Journal of Document Analysis and Recognition (editor), Frontiers of Computer science (editor), Frontiers in Digital Humanities (editor), Pattern Recognition, and Pattern Recognition Letters. He is a member of governing board the International Graphonomics Society and a member of the International Association for Pattern Recognition where he is Vice president of the Technical Committee 6. He chaired several International Workshops on Automated Forensic Handwriting Analysis and the International Workshop on Document Analysis Systems 2014. Furthermore he serves as program committee member and reviewer of various International Conferences and workshops in the area of Computer Vision, Pattern Recognition and Document Analysis as well as Machine Learning and E-Learning. Since 2010 he is the organizer of the discussion groups on the Workshops on Document Analysis and Recognition
Marcus Liwicki gave a number of invited talks at several international workshops, universities, and companies. He also gave several tutorials on IAPR conferences. Marcus Liwicki is a co-author of the book "Recognition of Whiteboard Notes – Online, Offline, and Combination", published by World Scientific in October 2008.--> He has more than 150 publications, including more than 20 journal papers, and excluding more than 20 publications which currently undergo the review stage or will soon be published.