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Medical AI

274 directly classified papers

Papers per year

Papers

Joint Bayesian Modelling of Internal Dependencies and Relevant Multimorbidities of a Heterogeneous Disease PGM 2016
A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making PGM 2016
Making Large Cox’s Proportional Hazard Models Tractable in Bayesian Networks PGM 2016
Evaluation of a Phone-Based Anomaly Detection Approach for Dysarthric Speech INTERSPEECH 2016
Interpolation on the Manifold of K Component GMMs ICCV 2015
Statistical Inference Models for Image Datasets With Systematic Variations CVPR 2015
Mapping Visual Features to Semantic Profiles for Retrieval in Medical Imaging CVPR 2015
On Prior Distributions and Approximate Inference for Structured Variables NIPS 2014
Mapping paradigm ontologies to and from the brain NIPS 2013
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NIPS 2013
Bayesian Nonparametric Modeling of Suicide Attempts NIPS 2012
Probabilistic Event Cascades for Alzheimer's disease NIPS 2012
Assessing Blinding in Clinical Trials NIPS 2012
High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction NIPS 2012
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals NIPS 2011
History distribution matching method for predicting effectiveness of HIV combination therapies NIPS 2011
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors NIPS 2011
Brain covariance selection: better individual functional connectivity models using population prior NIPS 2010
Decoding Ipsilateral Finger Movements from ECoG Signals in Humans NIPS 2010
Discriminative Network Models of Schizophrenia NIPS 2009
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NIPS 2009
Subject independent EEG-based BCI decoding NIPS 2009
On Ranking in Survival Analysis: Bounds on the Concordance Index NIPS 2007
Combining Knowledge from Different Sources in Causal Probabilistic Models JMLR 2003