| Support vector machines for differential prediction F Kuusisto, VS Costa, H Nassif, E Burnside, D Page, J Shavlik Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014 | 28 | 2014 |
| Score as you lift (SAYL): A statistical relational learning approach to uplift modeling H Nassif, F Kuusisto, ES Burnside, D Page, J Shavlik, VS Costa Joint European conference on machine learning and knowledge discovery in …, 2013 | 18 | 2013 |
| 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 | 15 | 2019 |
| 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 | 15 | 2017 |
| Uplift Modeling with ROC: An SRL Case Study. H Nassif, F Kuusisto, ES Burnside, JW Shavlik ILP (Late Breaking Papers), 40-45, 2013 | 15 | 2013 |
| 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 | 14 | 2015 |
| 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 | 12 | 2015 |
| 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 | 7 | 2013 |
| 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 | 4 | 2019 |
| VR head-mounted displays F Kuusisto XRDS: Crossroads, The ACM Magazine for Students 22 (1), 65-65, 2015 | 3 | 2015 |
| Machine Learning for Medical Decision Support and Individualized Treatment Assignment FC Kuusisto University of Wisconsin-Madison, 2015 | 3 | 2015 |
| Word embedding mining for SARS-CoV-2 and COVID-19 drug repurposing F Kuusisto, D Page, R Stewart F1000Research 9 (585), 585, 2020 | 2 | 2020 |
| 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, 13-34, 2020 | 2 | 2020 |
| Ancient and modern cryptography F Kuusisto XRDS: Crossroads, The ACM Magazine for Students 21 (3), 57-57, 2015 | 1 | 2015 |
| Automated dna sequencers F Kuusisto XRDS: Crossroads, The ACM Magazine for Students 19 (1), 71-71, 2012 | 1 | 2012 |
| 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, 1-8, 2021 | | 2021 |
| 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), 832, 2020 | | 2020 |
| 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 | | 2020 |
| 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 | | 2019 |
| IP addresses F Kuusisto XRDS: Crossroads, The ACM Magazine for Students 22 (2), 71-71, 2015 | | 2015 |
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinVerified email at cs.wisc.edu
