David Lanyi
IBM
12 Papers
166 Citations
David Lanyi is an academic researcher from IBM. The author has contributed to research in topics: Server & Ticket. The author has an hindex of 8, co-authored 12 publications.
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Papers
"Found in Translation": predicting outcomes of complex organic chemistry reactions using neural sequence-to-sequence models.
TL;DR: The authors cast the reaction prediction task as a translation problem by introducing a template-free sequence-to-sequence model, trained end to end and fully data-driven, using an attention-based model borrowed from human language translation.
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge.
Mitko Veta,Yujing J. Heng,Nikolas Stathonikos,Babak Ehteshami Bejnordi,Francisco Beca,Thomas Wollmann,Karl Rohr,Manan Shah,Dayong Wang,Mikael Rousson,Martin Hedlund,David Tellez,Francesco Ciompi,Erwan Zerhouni,David Lanyi,Matheus P. Viana,Vassili Kovalev,Vitali Liauchuk,Hady Ahmady Phoulady,Talha Qaiser,Simon Graham,Nasir M. Rajpoot,Erik Sjöblom,Jesper Molin,Kyunghyun Paeng,Sangheum Hwang,Sunggyun Park,Zhipeng Jia,Eric Chang,Yan Xu,Andrew H. Beck,Paul J. van Diest,Josien P. W. Pluim +32 more
TL;DR: The achieved results are promising given the difficulty of the tasks and weakly‐labeled nature of the ground truth, however, further research is needed to improve the practical utility of image analysis methods for this task.
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•Posted Content
"Found in Translation": Predicting Outcomes of Complex Organic Chemistry Reactions using Neural Sequence-to-Sequence Models
TL;DR: Using a text-based representation of molecules, chemical reactions are predicted with a neural machine translation model borrowed from language processing to describe how molecules behave in a graph-based model.
116
Classifying server behavior and predicting impact of modernization actions
Jasmina Bogojeska,David Lanyi,Ioana Giurgiu,George E. Stark,Dorothea Wiesmann +4 more
- 01 Oct 2013
TL;DR: This paper identifies and rank servers with problematic behavior as candidates for modernization using a random forest classifier and chooses a predictive model that yields high quality predictions and outperforms traditional linear regression models on a large set of real data.
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On the adoption and impact of predictive analytics for server incident reduction
Ioana Giurgiu,Dorothea Wiesmann,Jasmina Bogojeska,David Lanyi,George E. Stark,Rodney B. Wallace,Marcelo M. Pereira,Alexander A. Hidalgo +7 more
TL;DR: The PASIR methodology is described, from ticket classification to the recommendation of modernization actions, and the model effectiveness is demonstrated by comparing predictions on the impact of prescriptive actions with actual system improvements.
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