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Finn Kuusisto
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Year
Support vector machines for differential prediction
F Kuusisto, VS Costa, H Nassif, E Burnside, D Page, J Shavlik
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
492014
Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample
A Movaghar, D Page, M Brilliant, MW Baker, J Greenberg, J Hong, ...
Science Advances 5 (8), eaaw7195, 2019
422019
Machine Learning for Treatment Assignment: Improving Individualized Risk Attribution
JC Weiss, F Kuusisto, K Boyd, J Liu, CD Page
American Medical Informatics Association Annual Symposium, 2015
422015
A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications
F Kuusisto, J Steill, Z Kuang, J Thomson, D Page, R Stewart
AMIA Joint Summits on Translational Science, 2017
352017
Uplift Modeling with ROC: An SRL Case Study.
H Nassif, F Kuusisto, ES Burnside, JW Shavlik
ILP (late breaking papers), 40-45, 2013
332013
Score as you lift (SAYL): A statistical relational learning approach to uplift modeling
H Nassif, F Kuusisto, ES Burnside, D Page, J Shavlik, V Santos Costa
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
232013
Leveraging Expert Knowledge to Improve Machine-Learned Decision Support Systems
F Kuusisto, I Dutra, M Elezaby, E Mendonça, J Shavlik, ES Burnside
AMIA Joint Summits on Translational Science, 2015
212015
Artificial intelligence–assisted phenotype discovery of fragile X syndrome in a population-based sample
A Movaghar, D Page, D Scholze, J Hong, LS DaWalt, F Kuusisto, ...
Genetics in Medicine 23 (7), 1273-1280, 2021
202021
Automated extraction and visualization of protein–protein interaction networks and beyond: A text-mining protocol
K Raja, J Natarajan, F Kuusisto, J Steill, I Ross, J Thomson, R Stewart
Protein-Protein Interaction Networks: Methods and Protocols, 13-34, 2020
112020
Machine Learning Assisted Discovery of Novel Predictive Lab Tests Using Electronic Health Record Data
R Kleiman, F Kuusisto, I Ross, P Peissig, R Stewart, D Page, J Weiss
AMIA Informatics Summit, 2019
112019
Using machine learning to identify benign cases with non-definitive biopsy
F Kuusisto, I Dutra, H Nassif, Y Wu, ME Klein, HB Neuman, J Shavlik, ...
2013 IEEE 15th International Conference on e-Health Networking, Applications …, 2013
102013
Word embedding mining for SARS-CoV-2 and COVID-19 drug repurposing
F Kuusisto, D Page, R Stewart
F1000Research 9 (585), 585, 2020
82020
Machine Learning for Medical Decision Support and Individualized Treatment Assignment
FC Kuusisto
University of Wisconsin-Madison, 2015
62015
KinderMiner Web: a simple web tool for ranking pairwise associations in biomedical applications
F Kuusisto, D Ng, J Steill, I Ross, M Livny, J Thomson, D Page, R Stewart
F1000Research 9, 832, 2021
52021
Machine Learning to Predict Developmental Neurotoxicity with High-throughput Data from 2D Bio-engineered Tissues
F Kuusisto, VS Costa, Z Hou, J Thomson, D Page, R Stewart
18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019
52019
Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models
RJ Millikin, K Raja, J Steill, C Lock, X Tu, I Ross, LC Tsoi, F Kuusisto, Z Ni, ...
BMC bioinformatics 24 (1), 412, 2023
42023
SKiM-A generalized literature-based discovery system for uncovering novel biomedical knowledge from PubMed
K Raja, J Steill, I Ross, LC Tsoi, F Kuusisto, Z Ni, M Livny, J Thomson, ...
bioRxiv, 2020.10. 16.343012, 2020
42020
VR head-mounted displays
F Kuusisto
XRDS: Crossroads, The ACM Magazine for Students 22 (1), 65-65, 2015
42015
Ancient and modern cryptography
F Kuusisto
XRDS: Crossroads, The ACM Magazine for Students 21 (3), 57-57, 2015
32015
Biomedical Literature Mining for Repurposing Laboratory Tests
F Kuusisto, R Kleiman, J Weiss
Biomedical Text Mining, 91-109, 2022
12022
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Articles 1–20