Jaan Altosaar - RankMe

21 papers A* 2A 2Misc 2Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Developing a Robust Computable Phenotype Definition Workflow to Describe Health and Disease in Observational Health Research. CoRR Jacob S. Zelko, Sarah Gasman, Shenita R. Freeman, Dong Yun Lee, Jaan Altosaar, Azza Shoaibi, Gowtham Rao
2022	Misc	`conf`	Assessing Phenotype Definitions for Algorithmic Fairness. AMIA Tony Y. Sun, Shreyas Bhave, Jaan Altosaar, Noemie Elhadad
2022	J	`jnl`	Assessing Phenotype Definitions for Algorithmic Fairness. CoRR Tony Y. Sun, Shreyas Bhave, Jaan Altosaar, Noémie Elhadad
2022	J	`jnl`	Assisted Living in the United States: an Open Dataset. CoRR Anton Stengel, Jaan Altosaar, Rebecca Dittrich, Noémie Elhadad
2021	Misc	`conf`	Gender Differences in Time to Diagnosis through Fairness and Time Variant Evaluation of EHR Data. AMIA Tony Y. Sun, Oliver J. Bear Don't Walk IV, Jenny Chen, Jaan Altosaar, Harry Reyes Nieva, Noemie Elhadad
2021	J	`jnl`	Supervised topic modeling for predicting molecular substructure from mass spectrometry. F1000Research Gabriel Reder, Adamo Young, Jaan Altosaar, Jakub Rajniak, Noémie Elhadad, Michael Fischbach, Susan Holmes
2020	J	`jnl`	Evaluating representations by the complexity of learning low-loss predictors. CoRR William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho
2020	—	`—`	Probabilistic Modeling of Structure in Science: Statistical Physics to Recommender Systems Jaan Altosaar
2020	—	`conf`	Recommending Interesting Writing using a Controllable, Explanation-Aware Visual Interface. IntRS@RecSys Rohan Bansal, Jordan Olmstead, Uri Bram, Robert Cottrell, Gabriel Reder, Jaan Altosaar
2019	J	`jnl`	ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission. CoRR Kexin Huang, Jaan Altosaar, Rajesh Ranganath
2018	A*	`conf`	Noisin: Unbiased Regularization for Recurrent Neural Networks. ICML Adji Bousso Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei
2018	J	`jnl`	Noisin: Unbiased Regularization for Recurrent Neural Networks. CoRR Adji B. Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei
2018	A	`conf`	Proximity Variational Inference. AISTATS Jaan Altosaar, Rajesh Ranganath, David M. Blei
2017	J	`jnl`	Proximity Variational Inference. CoRR Jaan Altosaar, Rajesh Ranganath, David M. Blei
2016	A	`conf`	Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence. RecSys Dawen Liang, Jaan Altosaar, Laurent Charlin, David M. Blei
2016	—	`conf`	Operator Variational Inference. NIPS Rajesh Ranganath, Dustin Tran, Jaan Altosaar, David M. Blei
2016	J	`jnl`	Operator Variational Inference. CoRR Rajesh Ranganath, Jaan Altosaar, Dustin Tran, David M. Blei
2015	A*	`conf`	Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections. EMNLP Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans, Richard Jean So
2015	J	`jnl`	Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections. CoRR Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans, Richard Jean So
2015	—	`conf`	Musicmapper: interactive 2d representations of music samples for in-browser remixing and exploration. NIME Ethan Benjamin, Jaan Altosaar
2015	—	`conf`	Sonification of fish movement using pitch mesh pairs. NIME Andrew Mercer-Taylor, Jaan Altosaar