Robert F. Murphy

Orcid: 0000-0003-0358-901X

According to our database1, Robert F. Murphy authored at least 80 papers between 2000 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Expanding the coverage of spatial proteomics: a machine learning approach.
Bioinform., February, 2024

2023
SBML level 3 package: spatial processes, version 1, release 1.
J. Integr. Bioinform., March, 2023

Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022
Improving and evaluating deep learning models of cellular organization.
Bioinform., November, 2022

2021
Evaluation of categorical matrix completion algorithms: toward improved active learning for drug discovery.
Bioinform., 2021

2020
Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images.
Bioinform., 2020

2019
Learning the sequence of influenza A genome assembly during viral replication using point process models and fluorescence in situ hybridization.
PLoS Comput. Biol., 2019

The human body at cellular resolution: the NIH Human Biomolecular Atlas Program.
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
Nat., 2019

Evaluation of methods for generative modeling of cell and nuclear shape.
Bioinform., 2019

Integration of Heterogeneous Experimental Data Improves Global Map of Human Protein Complexes.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
Learning Generative Models of Tissue Organization with Supervised GANs.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

2017
Image-based spatiotemporal causality inference for protein signaling networks.
Bioinform., 2017

2016
Unbiased Rare Event Sampling in Spatial Stochastic Systems Biology Models Using a Weighted Ensemble of Trajectories.
PLoS Comput. Biol., 2016

2015
Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of Their Relation to Microtubules.
PLoS Comput. Biol., 2015

Deciding when to stop: Efficient stopping of active learning guided drug-target prediction.
CoRR, 2015

Deciding when to stop: efficient experimentation to learn to predict drug-target interactions.
BMC Bioinform., 2015

Deciding When to Stop: Efficient Experimentation to Learn to Predict Drug-Target Interactions (Extended Abstract).
Proceedings of the Research in Computational Molecular Biology, 2015

Design Automation for Biological Models: A Pipeline that Incorporates Spatial and Molecular Complexity.
Proceedings of the 25th edition on Great Lakes Symposium on VLSI, GLVLSI 2015, Pittsburgh, PA, USA, May 20, 2015

2014
Efficient discovery of responses of proteins to compounds using active learning.
BMC Bioinform., 2014

A new era in bioimage informatics.
Bioinform., 2014

Implementation of an Intelligent Tutoring System for Online Homework Support in an Efficacy Trial.
Proceedings of the Intelligent Tutoring Systems - 12th International Conference, 2014

Using Analytics for Improving Implementation Fidelity in an Large Scale Efficacy Trial.
Proceedings of the Learning and Becoming in Practice: Proceedings of the 11th International Conference of the Learning Sciences, 2014

2013
Determining the subcellular location of new proteins from microscope images using local features.
Bioinform., 2013

2012
Protein subcellular location pattern classification in cellular images using latent discriminative models.
Bioinform., 2012

(3) The CellOrganizer project: An open source system to learn image-derived models of subcellular organization over time and space.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Discriminative Motif Finding for Predicting Protein Subcellular Localization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Learning Cellular Sorting Pathways Using Protein Interactions and Sequence Motifs.
J. Comput. Biol., 2011

Model building and intelligent acquisition with application to protein subcellular location classification.
Bioinform., 2011

Automated estimation of microtubule model parameters from 3-D live cell microscopy images.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Determination of protein location diversity via analysis of immunohistochemical images from the Human Protein Atlas.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Structured literature image finder: Parsing text and figures in biomedical literature.
J. Web Semant., 2010

Automated analysis of protein subcellular location in time series images.
Bioinform., 2010

Quantifying the distribution of probes between subcellular locations using unsupervised pattern unmixing.
Bioinform., 2010

A graphical model to determine the subcellular protein location in artificial tissues.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Intelligent Acquisition and Learning of Fluorescence Microscope Data Models.
IEEE Trans. Image Process., 2009

Structured correspondence topic models for mining captioned figures in biological literature.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Instance-Based Generative Biological Shape Modeling.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Automated Analysis of Human Protein Atlas Immunofluorescence Images.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Nuclear Segmentation in Microscope Cell Images: A Hand-Segmented Dataset and Comparison of Algorithms.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Workshop summary: Automated interpretation and modelling of cell images.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2008
Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns.
J. Mach. Learn. Res., 2008

Improved recognition of figures containing fluorescence microscope images in online journal articles using graphical models.
Bioinform., 2008

Principles of Bioimage Informatics: Focus on Machine Learning of Cell Patterns.
Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

Structured Literature Image Finder: Extracting Information from Text and Images in Biomedical Literature.
Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

Deformation-based nonlinear dimension reduction: Applications to nuclear morphometry.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Automated proteome-wide determination of subcellular location using high throughput microscopy.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Automated comparison of protein subcellular location patterns between images of normal and cancerous tissues.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Identifying Subcellular Locations from Images of Unknown Resolution.
Proceedings of the Bioinformatics Research and Development, 2008

2007
A multiresolution approach to automated classification of protein subcellular location images.
BMC Bioinform., 2007

A Stacked Graphical Model for Associating Sub-Images with Sub-Captions.
Proceedings of the Biocomputing 2007, 2007

Automated image analysis of protein localization in budding yeast.
Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

Systematic Description of Subcellular Location for Integration with Proteomics Databases and Systems Biology Modeling.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Identifying Fluorescence Microscope Images in Online Journal Articles Using Both Image and Text Features.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Efficient Acquisition and Learning of Fluorescence Microscope Data Models.
Proceedings of the International Conference on Image Processing, 2007

Interpretation of Protein Subcellular Location Patterns in 3D Images Across Cell Types and Resolutions.
Proceedings of the Bioinformatics Research and Development, First International Conference, 2007

2006
Molecular and cellular bioimaging [Guest editorial].
IEEE Signal Process. Mag., 2006

A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images.
BMC Bioinform., 2006

Improved comparison of protein subcellular location patterns.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Application of temporal texture features to automated analysis of protein subcellular locations in time series fluorescence microscope images.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Topology preserving STACS segmentation of protein subcellular location images.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

A Novel Graphical Model Approach to Segmenting Cell Images.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2005
Object Type Recognition for Automated Analysis of Protein Subcellular Location.
IEEE Trans. Image Process., 2005

Research issues in protein location image databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

High-recall protein entity recognition using a dictionary.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Adaptive Multirate Data Acquisition of 3D Cell Images.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Data Mining Methods for a Systematics of Protein Subcellular Location.
Proceedings of the Data Mining in Bioinformatics, 2005

2004
A Distributed Database for BioMolecular Images.
SIGMOD Rec., 2004

Boosting accuracy of automated classification of fluorescence microscope images for location proteomics.
BMC Bioinform., 2004

Automated Interpretation of Subcellular Location Patterns.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Automated Classification of Subcellular Patterns In Multicell Images Without Segmentation Into Single Cells.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2003
Robust Numerical Features for Description and Classification of Subcellular Location Patterns in Fluorescence Microscope Images.
J. VLSI Signal Process., 2003

Extracting information from text and images for location proteomics.
Proceedings of the 3nd ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2003), 2003

Understanding captions in biomedical publications.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

2002
Robust classification of subcellular location patterns in fluorescence microscope images.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Automated determination of protein subcellular locations from 3D fluorescence microscope images.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Image content-based retrieval and automated interpretation of fluorescence microscope images via the protein subcellular location image database.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001
A neural network classifier capable of recognizing the patterns of all major subcellular structures in fluorescence microscope images of HeLa cells.
Bioinform., 2001

Searching Online Journals for Fluorescence Microscope Images Depicting Protein Subcellular Location Patterns.
Proceedings of the 2nd IEEE International Symposium on Bioinformatics and Bioengineering, 2001

2000
Towards a Systematics for Protein Subcellular Location: Quantitative Description of Protein Localization Patterns and Automated Analysis of Fluorescence Microscope Images.
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000


  Loading...