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1

Human-in-the-loop assisted de novo molecular design:

Sundin, Iiris ; Voronov, Alexey ; Xiao, Haoping...
Journal of Cheminformatics. 14 (2022) 1 - p. , 2022

Link: https://doi.org/10.1186/..

2

Improving genomics-based predictions for precision medicine..:

Sundin, Iiris ; Peltola, Tomi ; Micallef, Luana...
Bioinformatics. 34 (2018) 13 - p. i395-i403 , 2018

Link: https://doi.org/10.1093/..

3

Interactive Elicitation of Knowledge on Feature Relevance I..:

, In: Proceedings of the 22nd International Conference on Intelligent User Interfaces,

Micallef, Luana ; Sundin, Iiris ; Marttinen, Pekka... - p. 547-552 , 2017

Link: https://dl.acm.org/doi/1..

4

Human-in-the-loop assisted de novo molecular design:

Sundin, Iiris ; Voronov, Alexey ; Xiao, Haoping...
JOURNAL OF CHEMINFORMATICS. , 2022

Link: https://aaltodoc.aalto.f..

5

Human-in-the-loop assisted de novo molecular design:

Sundin, Iiris ; Voronov, Alexey ; Xiao, Haoping...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795720/. , 2022

Link: http://www.ncbi.nlm.nih...

6

Targeted Active Learning for Bayesian Decision-Making:

Filstroff, Louis ; Sundin, Iiris ; Mikkola, Petrus...
http://arxiv.org/abs/2106.04193. , 2021

Link: http://arxiv.org/abs/210..

7

Interactive Elicitation of Knowledge on Feature Relevance I..:

Micallef, Luana ; Sundin, Iiris ; Marttinen, Pekka...
10.1145/3025171.3025181. , 2019

Link: http://hdl.handle.net/10..

8

Active Learning for Decision-Making from Imbalanced Observa..:

Sundin, Iiris ; Schulam, Peter ; Siivola, Eero...
http://arxiv.org/abs/1904.05268. , 2019

Link: http://arxiv.org/abs/190..

9

Active Learning for Decision-Making from Imbalanced Observa..:

Sundin, Iiris ; Schulam, Peter ; Siivola, Eero...
International Conference on Machine Learning. , 2019

Link: https://aaltodoc.aalto.f..

10

Improving genomics-based predictions for precision medicine..:

Sundin, Iiris ; Peltola, Tomi ; Micallef, Luana...
10.1093/bioinformatics/bty257. , 2018

Link: http://hdl.handle.net/10..

11

Improving genomics-based predictions for precision medicine..:

Sundin, Iiris ; Peltola, Tomi ; Micallef, Luana...
BIOINFORMATICS. , 2018

Link: https://aaltodoc.aalto.f..

12

Improving genomics-based predictions for precision medicine..:

Sundin, Iiris ; Peltola, Tomi ; Micallef, Luana...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022689/. , 2018

Link: http://www.ncbi.nlm.nih...

13

Using counterfactual queries to improve models for decision..:

Sundin, Iiris ; Schulam, Peter ; Siivola, Eero...
doi:10.5281/zenodo.1489149. , 2018

Link: https://zenodo.org/recor..

14

Improving drug sensitivity predictions in precision medicin..:

Sundin, Iiris ; Peltola, Tomi ; Majumder, Muntasir Mamun...
http://arxiv.org/abs/1705.03290. , 2017

Link: http://arxiv.org/abs/170..

15

Interactive Elicitation of Knowledge on Feature Relevance I..:

Micallef, Luana ; Sundin, Iiris ; Marttinen, Pekka...
http://arxiv.org/abs/1612.02487. , 2016

Link: http://arxiv.org/abs/161..

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