Daphne Koller | Academic Influence

Why Is Daphne Koller Influential?

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By Erik J. Larson, PhD

Areas of Specialization: Machine Learning, Artifical Intelligence, Computational Biology
Koller is a professor of computer science at Stanford University. She received her bachelor’s degree from Hebrew University of Jerusalem in 1985, and her Ph.D. from Stanford in 1993. Her former students include notable computer scientists Ben Tasker, Suchi Saria, and Eran Segal.

Koller’s work focuses on probabilistic reasoning, representation, and inference with graphical models like Bayes Nets. With Stanford colleague Andrew Ng, Koller launched the online learning platform Coursera in 2012, serving as co-CEO with Ng and later as the company’s president. Koller has also been active in using modern data science and statistics to improve areas of concern for us like health care. For instance, she has made important contributions to the development of techniques and software that help predict whether premature babies will have health problems. She has directed her focus on computer vision as well as computational biology toward the development of applications and systems that can help in decision making and diagnosis in medical and other industries.

Koller has received numerous awards in her distinguished career in computer science, including winning the MacArthur Fellowship in 2004. She is a favorite of popular media, listed as one of the Ten Most Important People of 2010 by Newsweek. Also in 2010, the Huffington Post named her one of the 100 Game Changers, and in 2013 Time Magazine included her in its list of 100 Most Influential People.

Academic Website

Featured in Top Influential Computer Scientists Today and Top Women in STEM

According to Wikipedia, Daphne Koller is an Israeli-American computer scientist. She was a professor in the department of computer science at Stanford University and a MacArthur Foundation fellowship recipient. She is one of the founders of Coursera, an online education platform. Her general research area is artificial intelligence and its applications in the biomedical sciences. Koller was featured in a 2004 article by MIT Technology Review titled "10 Emerging Technologies That Will Change Your World" concerning the topic of Bayesian machine learning.

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Daphne Koller's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Papers

Probabilistic Graphical Models - Principles and Techniques (2009) (6367)
The Genotype-Tissue Expression (GTEx) project (2013) (5680)
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans (2015) (3779)
Support Vector Machine Active Learning with Applications to Text Classification (2002) (3289)
FastSLAM: a factored solution to the simultaneous localization and mapping problem (2002) (2793)
A Gene-Coexpression Network for Global Discovery of Conserved Genetic Modules (2003) (2114)
Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data (2003) (1813)
Toward Optimal Feature Selection (1996) (1795)
SCAPE: shape completion and animation of people (2005) (1588)
Max-Margin Markov Networks (2003) (1491)
The Immunological Genome Project: networks of gene expression in immune cells (2008) (1376)
Population genomics of human gene expression (2007) (1193)
FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably Converges (2003) (1147)
Hierarchically Classifying Documents Using Very Few Words (1997) (1108)
Self-Paced Learning for Latent Variable Models (2010) (1062)
The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes (2008) (961)
Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks (2004) (854)
Discriminative Probabilistic Models for Relational Data (2002) (809)
Context-Specific Independence in Bayesian Networks (1996) (788)
Simultaneous Localization and Mapping with Sparse Extended Information Filters (2004) (769)
Decomposing a scene into geometric and semantically consistent regions (2009) (739)
A module map showing conditional activity of expression modules in cancer (2004) (737)
Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning (2009) (631)
Tractable Inference for Complex Stochastic Processes (1998) (623)
Object-Oriented Bayesian Networks (1997) (617)
Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival (2011) (615)
Learning structured prediction models: a large margin approach (2005) (564)
Link Prediction in Relational Data (2003) (537)
Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals (2013) (509)
Multiagent Planning with Factored MDPs (2001) (492)
Efficient Solution Algorithms for Factored MDPs (2003) (487)
Single image depth estimation from predicted semantic labels (2010) (473)
Learning Spatial Context: Using Stuff to Find Things (2008) (463)
Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes (2014) (452)
Multi-Class Segmentation with Relative Location Prior (2008) (446)
Multi-Agent Influence Diagrams for Representing and Solving Games (2001) (440)
Discriminative learning of Markov random fields for segmentation of 3D scan data (2005) (426)
Real time motion capture using a single time-of-flight camera (2010) (412)
From signatures to models: understanding cancer using microarrays (2005) (405)
Learning latent temporal structure for complex event detection (2012) (397)
Adaptive Probabilistic Networks with Hidden Variables (1997) (395)
Peer and self assessment in massive online classes (2013) (394)
Support Vector Machine Active Learning with Application sto Text Classification (2000) (373)
Tuned Models of Peer Assessment in MOOCs (2013) (372)
Sfp1 is a stress- and nutrient-sensitive regulator of ribosomal protein gene expression. (2004) (363)
Probabilistic Frame-Based Systems (1998) (363)
Towards robust automatic traffic scene analysis in real-time (1994) (361)
A probabilistic model for component-based shape synthesis (2012) (352)
Discovering molecular pathways from protein interaction and gene expression data (2003) (336)
Being Bayesian about Network Structure (2000) (334)
Real-time identification and localization of body parts from depth images (2010) (334)
Constructing informative priors using transfer learning (2006) (327)
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks (2005) (327)
Continuous Time Bayesian Networks (2012) (319)
Making Rational Decisions Using Adaptive Utility Elicitation (2000) (317)
Stochastic simulation algorithms for dynamic probabilistic networks (1995) (304)
Learning Probabilistic Models of Link Structure (2003) (302)
Genome-wide discovery of transcriptional modules from DNA sequence and gene expression (2003) (299)
Residual Belief Propagation: Informed Scheduling for Asynchronous Message Passing (2006) (298)
Probabilistic Classification and Clustering in Relational Data (2001) (298)
P-CLASSIC: A Tractable Probablistic Description Logic (1997) (287)
Selectivity estimation using probabilistic models (2001) (287)
Bayesian Fault Detection and Diagnosis in Dynamic Systems (2000) (287)
Rich probabilistic models for gene expression (2001) (284)
Efficient Computation of Equilibria for Extensive Two-Person Games (1996) (279)
Functional Organization of the S. cerevisiae Phosphorylation Network (2009) (269)
Conservation and divergence in the transcriptional programs of the human and mouse immune systems (2013) (269)
Learning Probabilistic Models of Relational Structure (2001) (254)
The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces (2004) (253)
Max-Margin Parsing (2004) (250)
From Statistical Knowledge Bases to Degrees of Belief (1996) (248)
Active Learning for Structure in Bayesian Networks (2001) (243)
Corrigendum: Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases (2016) (242)
Convergent antibody signatures in human dengue. (2013) (237)
Efficient Structure Learning of Markov Networks using L1-Regularization (2006) (233)
Causal signals between codon bias, mRNA structure, and the efficiency of translation and elongation (2014) (228)
Simultaneous Mapping and Localization with Sparse Extended Information Filters: Theory and Initial Results (2004) (226)
Fast algorithms for finding randomized strategies in game trees (1994) (224)
The complexity of two-person zero-sum games in extensive form (1992) (218)
Efficient Reinforcement Learning in Factored MDPs (1999) (215)
Representations and Solutions for Game-Theoretic Problems (1997) (213)
Human responses to influenza vaccination show seroconversion signatures and convergent antibody rearrangements. (2014) (213)
Towards robust automatic traffic scene analysis in real-time (1994) (213)
Generalizing Plans to New Environments in Relational MDPs (2003) (210)
Word-Sense Disambiguation for Machine Translation (2005) (209)
FastSLAM: An Efficient Solution to the Simultaneous Localization And Mapping Problem with Unknown Data (2004) (207)
Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming (2014) (205)
Learning a Prior on Regulatory Potential from eQTL Data (2009) (205)
Learning associative Markov networks (2004) (204)
Region-based Segmentation and Object Detection (2009) (201)
A Protein Domain-Based Interactome Network for C. elegans Early Embryogenesis (2008) (198)
Modeling how students learn to program (2012) (193)
Local Learning in Probabilistic Networks with Hidden Variables (1995) (191)
Detecting and modeling doors with mobile robots (2004) (185)
Shifting Weights: Adapting Object Detectors from Image to Video (2012) (182)
Policy Iteration for Factored MDPs (2000) (180)
The Effects of Somatic Hypermutation on Neutralization and Binding in the PGT121 Family of Broadly Neutralizing HIV Antibodies (2013) (179)
Discriminative learning of relaxed hierarchy for large-scale visual recognition (2011) (178)
Cascaded Classification Models: Combining Models for Holistic Scene Understanding (2008) (177)
Learning a meta-level prior for feature relevance from multiple related tasks (2007) (176)
Automatic Symbolic Traffic Scene Analysis Using Belief Networks (1994) (175)
An integrated stereo-based approach to automatic vehicle guidance (1995) (174)
Learning Module Networks (2002) (173)
Identification of transcriptional regulators in the mouse immune system (2013) (173)
Integration of Early Physiological Responses Predicts Later Illness Severity in Preterm Infants (2010) (172)
Computing Factored Value Functions for Policies in Structured MDPs (1999) (171)
Nonuniform Dynamic Discretization in Hybrid Networks (1997) (170)
Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network (2008) (170)
Active Learning for Parameter Estimation in Bayesian Networks (2000) (166)
Learning Factor Graphs in Polynomial Time and Sample Complexity (2006) (164)
Real-Time Human Pose Tracking from Range Data (2012) (163)
Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases (2015) (161)
Projected Subgradient Methods for Learning Sparse Gaussians (2008) (161)
High-resolution antibody dynamics of vaccine-induced immune responses (2014) (159)
Effects of Aging, Cytomegalovirus Infection, and EBV Infection on Human B Cell Repertoires (2014) (158)
A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets (1999) (157)
Efficiently selecting regions for scene understanding (2010) (155)
Discriminative learning with latent variables for cluttered indoor scene understanding (2010) (153)
Sharing and Specificity of Co-expression Networks across 35 Human Tissues (2014) (144)
Finding the hidden path: time bounds for all-pairs shortest paths (1991) (144)
Identifying regulatory mechanisms using individual variation reveals key role for chromatin modification (2006) (142)
Learning Continuous Time Bayesian Networks (2002) (142)
Sentence Simplification for Semantic Role Labeling (2008) (139)
Genovo: De Novo Assembly for Metagenomes (2010) (138)
Probabilistic Entity-Relationship Models, PRMs, and Plate Models (2004) (138)
Multi-agent algorithms for solving graphical games (2002) (138)
Context-specific multiagent coordination and planning with factored MDPs (2002) (134)
Max-margin Classification of Data with Absent Features (2008) (134)
Using Probabilistic Information in Data Integration (1997) (132)
Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing (2013) (132)
SPOOK: A system for probabilistic object-oriented knowledge representation (1999) (132)
From promoter sequence to expression: a probabilistic framework (2002) (129)
Discovering Hidden Variables: A Structure-Based Approach (2000) (128)
Max-norm Projections for Factored MDPs (2001) (128)
Probabilistic Models for Relational Data (2004) (128)
Update Rules for Parameter Estimation in Bayesian Networks (1997) (124)
A segmentation-aware object detection model with occlusion handling (2011) (121)
Decomposing Gene Expression into Cellular Processes (2002) (120)
Accelerated dual decomposition for MAP inference (2010) (119)
Effective Bayesian Inference for Stochastic Programs (1997) (117)
Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots (2002) (117)
Recovering Articulated Object Models from 3D Range Data (2004) (113)
Learning an Agent's Utility Function by Observing Behavior (2001) (110)
Integrating Visual and Range Data for Robotic Object Detection (2008) (109)
Random worlds and maximum entropy (1992) (109)
Active Classification based on Value of Classifier (2011) (108)
Systematic analysis of genome-wide fitness data in yeast reveals novel gene function and drug action (2010) (107)
Using Learning for Approximation in Stochastic Processes (1998) (102)
Planning under uncertainty in complex structured environments (2003) (101)
Probabilistic Models of Text and Link Structure for Hypertext Classification (2001) (99)
Timing of Gene Expression Responses to Environmental Changes (2009) (98)
Apoptosis and other immune biomarkers predict influenza vaccine responsiveness (2014) (98)
Probabilistic Relational Models (1999) (98)
Learning Probabilities for Noisy First-Order Rules (1997) (96)
A Complex-based Reconstruction of the Saccharomyces cerevisiae Interactome *S⃞ (2009) (94)
A Continuation Method for Nash Equilibria in Structured Games (2003) (92)
Apoptosis and other immune biomarkers predict influenza vaccine responsiveness (2013) (89)
Probabilistic Graphical Models (2009) (87)
Achievable cases in an asynchronous environment (1987) (85)
From Statistics to Beliefs (1992) (84)
Expectation Maximization and Complex Duration Distributions for Continuous Time Bayesian Networks (2005) (83)
Combining the Right Features for Complex Event Recognition (2013) (83)
Discovering the Hidden Structure of Complex Dynamic Systems (1999) (82)
Utilities as Random Variables: Density Estimation and Structure Discovery (2000) (79)
Automated identification of pathways from quantitative genetic interaction data (2010) (78)
Expectation Propagation for Continuous Time Bayesian Networks (2005) (78)
Learning specific-class segmentation from diverse data (2011) (77)
Exact Inference in Networks with Discrete Children of Continuous Parents (2001) (76)
Fine-Grained Categorization for 3D Scene Understanding (2012) (73)
Constructing small sample spaces satisfying given constraints (1993) (73)
Statistical Foundations for Default Reasoning (1993) (72)
InSite: a computational method for identifying protein-protein interaction binding sites on a proteome-wide scale (2007) (72)
Sampling in Factored Dynamic Systems (2001) (70)
Using Combinatorial Optimization within Max-Product Belief Propagation (2006) (68)
Approximate Learning of Dynamic Models (1998) (67)
A pluripotency signature predicts histologic transformation and influences survival in follicular lymphoma patients. (2009) (66)
Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net (2002) (65)
A combined pose, object, and feature model for action understanding (2012) (65)
Constructing Flexible Dynamic Belief Networks from First-Order Probalistic Knowledge Bases (1995) (65)
Restricted Bayes Optimal Classifiers (2000) (64)
Normalizing RNA-Sequencing Data by Modeling Hidden Covariates with Prior Knowledge (2013) (62)
Semantics and Inference for Recursive Probability Models (2000) (61)
Solving Factored POMDPs with Linear Value Functions (2001) (61)
Probabilistic discovery of overlapping cellular processes and their regulation (2004) (59)
Exploiting the Architecture of Dynamic Systems (1999) (59)
Generating and Solving Imperfect Information Games (1995) (56)
Shape-Based Object Localization for Descriptive Classification (2008) (55)
Object Pose Detection in Range Scan Data (2006) (52)
Finding mixed strategies with small supports in extensive form games (1996) (51)
Reasoning at the Right Time Granularity (2007) (51)
Learning Bayesian Networks from Data (2001) (49)
Understanding tuberculosis epidemiology using structured statistical models (2004) (48)
Conserved Genetic Modules 5 / 29 / 2003 1 A gene co-expression network for global discovery of conserved genetic modules in H . sapiens , D . melanogaster , C . elegans , and S . cerevisiae (2003) (47)
A game-theoretic classification of interactive complexity classes (1995) (47)
First-order conditional logic for default reasoning revisited (2000) (47)
Representation Dependence in Probabilistic Inference (1995) (45)
Multi-level inference by relaxed dual decomposition for human pose segmentation (2011) (45)
Learning Object Shape: From Drawings to Images (2006) (43)
The transcriptional landscape of ab T cell differentiation (2013) (41)
Learning Probabilistic Relational Models with Structural Uncertainty (2000) (40)
Online Word Games for Semantic Data Collection (2008) (39)
Policy Search via Density Estimation (1999) (38)
MAP Estimation of Semi-Metric MRFs via Hierarchical Graph Cuts (2009) (37)
Probabilistic Abstraction Hierarchies (2001) (37)
Offering Verified Credentials in Massive Open Online Courses: MOOCs and technology to advance learning and learning research (Ubiquity symposium) (2014) (36)
Variation and Genetic Control of Gene Expression in Primary Immunocytes across Inbred Mouse Strains (2014) (34)
Constrained Approximate Maximum Entropy Learning of Markov Random Fields (2008) (34)
Apoptosis and other immune biomarkers predict influenza vaccine responsiveness (2013) (33)
Discovering Deformable Motifs in Continuous Time Series Data (2011) (33)
Max-Margin Min-Entropy Models (2012) (33)
Structured Representation of Complex Stochastic Systems (1998) (32)
Asymptotic Conditional Probabilities: The Unary Case (1996) (32)
Learning on the Test Data: Leveraging Unseen Features (2003) (32)
Convex envelopes of complexity controlling penalties: the case against premature envelopment (2011) (32)
Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale (2004) (31)
Alphabet SOUP: A framework for approximate energy minimization (2009) (31)
Probabilistic Models for Agent's Beliefs and Decisions (2000) (30)
(De)randomized Construction of Small Sample Spaces in NC (1997) (30)
Reinforcement Learning Using Approximate Belief States (1999) (29)
Multiclass Boosting with Hinge Loss based on Output Coding (2011) (28)
Transfer learning by constructing informative priors (2005) (28)
Label and Link Prediction in Relational Data (2003) (28)
SLAM Updates Require Constant Time (2002) (28)
Max-margin classification of incomplete data (2006) (27)
2009 IEEE 12th International Conference on Computer Vision (ICCV) (2009) (26)
Adaptive Probabilistic Networks (1994) (26)
Using Feature Hierarchies in Bayesian Network Learning (2000) (26)
Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence (2001) (26)
3D segmentation of cell boundaries from whole cell cryogenic electron tomography volumes. (2010) (25)
What Makes a Good Detector? - Structured Priors for Learning from Few Examples (2012) (25)
Asymptotic conditional probabilities: The non-unary case (1996) (25)
Correlation of preterm infant illness severity with placental histology. (2016) (24)
Irrelevance and Conditioning in First-Order Probabilistic Logic (1996) (23)
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing (2013) (23)
Probabilistic hierarchical clustering for biological data (2002) (23)
Modeling Latent Variable Uncertainty for Loss-based Learning (2012) (22)
Non-Local Contrastive Objectives (2010) (22)
Module Networks : Discovering Regulatory Modules and their Condition Specific Regulators from Gene Expression Data (2003) (22)
Generating New Beliefs from Old (1994) (21)
Self-Driven Mastery in Massive Open Online Courses (2013) (20)
Discovering shared and individual latent structure in multiple time series (2010) (20)
Crowd-scale interactive formal reasoning and analytics (2013) (19)
Continuous Time Markov Networks (2006) (19)
Combining Structured and Free-text Data for Automatic Coding of Patient Outcomes. (2010) (18)
From Instances to Classes in Probabilistic Relational Models (2000) (17)
Applying Sentence Simplification to the CoNLL-2008 Shared Task (2008) (15)
Asymptomatic conditional probabilities for first-order logic (1992) (15)
GeneXPress : A Visualization and Statistical Analysis Tool for Gene Expression and Sequence Data (15)
Imputing gene expression from optimally reduced probe sets (2012) (14)
of Conserved Genetic Modules A Gene-Coexpression Network for Global Discovery (2008) (13)
Inferring Multidimensional Rates of Aging from Cross-Sectional Data (2018) (13)
First-Order Conditional Logic Revisited (1996) (13)
Forming Beliefs about a Changing World (1994) (12)
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks (2006) (12)
Learning Factor Graphs in Polynomial Time & Sample Complexity (2005) (12)
The online revolution: education for everyone (2013) (12)
Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (2001) (2001) (11)
The Online Revolution: Education at Scale (2012) (11)
An Active Learning Approach to Finding Related Terms (2010) (9)
A Unified Contour-Pixel Model for Figure-Ground Segmentation (2010) (9)
GENIE TRECVID 2011 Multimedia Event Detection: Late-Fusion Approaches to Combine Multiple Audio-Visual features (2011) (9)
Ignorable Information in Multi-Agent Scenarios (2008) (9)
Learning a Small Mixture of Trees (2009) (8)
Fault-Tolerant Critical Section Management in Asynchronous Environments (1991) (8)
Parameter Estimation and Energy Minimization for Region-Based Semantic Segmentation (2015) (8)
Structured Probabilistic Models: Bayesian Networks and Beyond (1998) (8)
TRECVID 2012 GENIE: Multimedia Event Detection and Recounting (2012) (7)
2 Graphical Models in a Nutshell (2008) (7)
The Online Revolution: Learning without Limits (2013) (7)
The role of AI in digital libraries (1996) (7)
Peptide-Spectra Matching with Weak Supervision (2018) (7)
(De)randomized construction of small sample spaces in /spl Nscr//spl Cscr/ (1994) (7)
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies (2008) (7)
Efficient inference in Bayesian networks (1998) (6)
Mid-level Features Improve Recognition of Interactive Activities (2012) (6)
5 Probabilistic Relational Models (2008) (6)
Correction: The Effects of Somatic Hypermutation on Neutralization and Binding in the PGT121 Family of Broadly Neutralizing HIV Antibodies (2013) (6)
Towards Dependable Perception : Guaranteed Inference for Global Localization (2010) (6)
Transfer Learning of Object Classes : From Cartoons to Photographs (1992) (5)
Timing properties of gene expression responses to environmental changes (2009) (5)
A Fast and Exact Energy Minimization Algorithm for Cycle MRFs (2013) (5)
Structured models for multi-agent interactions (2001) (4)
A Protein Domain-Based Interactome Network for C. elegans Early Embryogenesis (2012) (4)
Guaranteed Inference for Global State Estimation in Human Environments (2010) (4)
MOOCS: What Have We Learned? (2015) (4)
A RESPONSE TO “BELIEVING ON THE BASIS OF THE EVIDENCE” (1994) (4)
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data (2018) (4)
Qualitative Planning under Assumptions: A Preliminary Report (1994) (3)
A Logic for Approximate Reasoning (1992) (3)
Achievable Cases in an Asynchronous Environment (Extended Abstract) (1987) (3)
Generating Degrees of Belief from Statistical Information: An Overview (1993) (3)
Simultaneous and Mapping With Sparse Extended Information (2014) (2)
Fault-Tolerant Critical Section Management in Asynchronous Networks (1989) (2)
Learning models of shape from three-dimensional range data (2006) (2)
Proceedings of the 20th International Conference on Neural Information Processing Systems (2007) (2)
Multi-Agent Planning in Complex Uncertain Environments (2004) (2)
Learning Statistical Patterns in Relational Data Using Probabilistic Relational Models (2005) (2)
A Ga,me-Theoretic Classification of Interactive Complexity Classes (Est ended Abstract ) (1995) (2)
LOOPS: Localizing Object Outlines using Probabilistic Shape (2008) (1)
Structured representations and intractability (1996) (1)
Learning the Structure of Utility Functions (1999) (1)
Uncertainty in artificial intelligence : proceedings of the Seventeenth Conference (2001) : August 2-5, 2001, University of Washington, Seattle, Washington (2001) (1)
Advances in Neural Information Processing Systems 20, Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 3-6, 2007 (2008) (1)
From knowledge to belief (1994) (1)
Probability Estimation in Face of Irrelevant Information (1991) (1)
6 Relational Markov Networks (2007) (1)
Erratum: Apoptosis and other immune biomarkers predict influenza vaccine responsiveness (Molecular Systems Biology (2013) 9 (659) DOI: 10.1038/msb.2013.15) (2013) (1)
Transcriptional insights into the CD8[superscript +] T cell response to infection and memory T cell formation (2013) (0)
Understanding Gene Regulatory Networks and Their Variations (2010) (0)
GAMING Connected Gaming : What Making Video Games (2017) (0)
Filling missing components in yeast metabolic pathways using heterogeneous data (0)
Representing Complex Distributions, contd (0)
A Predictive Model of Gene Expression in E. Coli (2008) (0)
Modeling Instance Appearance for Recognition - Can We Do Better Than EM? (2013) (0)
Uncertainty in artificial intelligence : proceedings of the Eighteenth Conference (2002) : August 1-4, 2002, University of Alberta, Edmonton (2002) (0)
Towfique Raj Risk Alleles in Leukocytes Polarization of the Effects of Autoimmune and Neurodegenerative (2014) (0)
Title : Hierarchically classifying documents using very few wordsAuthors : (1997) (0)
Sensors & Symbols: An Integrated Framework (1999) (0)
Title: Hierarchically Classifying Documents Using Very Few Words Authors: Hierarchically Classifying Documents Using Very Few Words (1998) (0)
MMKnots : A max-margin model for RNA secondary structure prediction including pseudoknots (2016) (0)
Conservation and divergence in modules of the transcriptional programs of the human and mouse immune systems (2018) (0)
Abstract B121: An oncogene-linked prodrug strategy in lung cancer (2019) (0)
Statistical learning from relational data (2003) (0)
influences survival in follicular lymphoma patients A pluripotency signature predicts histologic tra (2012) (0)
Learning to improve our lives (2009) (0)
NpgRj_Ng_2142 1..8 (2007) (0)
Optimality, Robustness, and Noise in Metabolic Network Control (2007) (0)
P-CLASSIC: A traCtabk escription logic (1999) (0)
Conservation and divergence in modules of the transcriptional programs of the human and mouse immune systems (2018) (0)
Local Algorithms for Finding Equilibria in Structured Games (2002) (0)
Proceedings of the 21st International Conference on Neural Information Processing Systems (2008) (0)
Inbred Mouse Strains Expression in Primary Immunocytes across Variation and Genetic Control of Gene (2014) (0)
Knowledge Representation for an Uncertain World. (1997) (0)
UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, University of Washington, Seattle, Washington, USA, August 2-5, 2001 (2001) (0)
RepertoiresEBV Infection on Human B Cell Effects of Aging, Cytomegalovirus Infection, (2015) (0)
A GRAPH REGULARIZATION BASED APPROACH FOR GENE SCORING AND GENE SET SELECTION AS APPLIED TO GLIOBLASTOMA MULTIFORME (2012) (0)
Constructing Small Sample Spaces for De � Randomization of Algorithms (2004) (0)
Representing Complex Distributions (0)
Learning Probabilistic Models from Relational Data |Invited Lecture| (0)
[Relevance of health geographic research for dermatology]. (2021) (0)
IDENTIFYING GENETIC DRIVERS OF CANCER MORPHOLOGY (2012) (0)
Features Associated with Survival Systematic Analysis of Breast Cancer Morphology Uncovers Stromal (2011) (0)
Convolutional neural networks of H&E-stained biopsy images accurately quantify histologic features of non-alcoholic steatohepatitis (2020) (0)
Machine learned histological fibrosis score empowers characterization of baseline gene signatures associated with fibrosis progression or regression in a NASH F3/F4 clinical trial (2022) (0)
Machine learning encoding of liver biopsy images enables prediction of molecular measurements in a NASH F3/F4 fibrosis clinical cohort (2022) (0)

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