Hagit Shatkay

According to our database1, Hagit Shatkay authored at least 83 papers between 1996 and 2023.

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Bibliography

2023
MouseScholar: Evaluating an Image+Text Search System for Biocuration.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Toward ECG-based analysis of hypertrophic cardiomyopathy: a novel ECG segmentation method for handling abnormalities.
J. Am. Medical Informatics Assoc., 2022

Domain-Informed Neural Networks for Interaction Localization Within Astroparticle Experiments.
Frontiers Artif. Intell., 2022

Translational drug-interaction corpus.
Database J. Biol. Databases Curation, 2022

2021
Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model).
CoRR, 2021

Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model.
CoRR, 2021

Utilizing image and caption information for biomedical document classification.
Bioinform., 2021

Corrigendum to: Utilizing image and caption information for biomedical document classification.
Bioinform., 2021

ANIMO: Annotation of Biomed Image Modalities.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Effective biomedical document classification for identifying publications relevant to the mouse Gene Expression Database (GXD).
Database J. Biol. Databases Curation, 2020

Integrating image caption information into biomedical document classification in support of biocuration.
Database J. Biol. Databases Curation, 2020

Modality-Classification of Microscopy Images Using Shallow Variants of Deep Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Biomedical Text Mining.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

Figure and caption extraction from biomedical documents.
Bioinform., 2019

An effective biomedical document classification scheme in support of biocuration: addressing class imbalance.
Database J. Biol. Databases Curation, 2019

2018
Stochastic Modeling of Temporal Enhanced Ultrasound: Impact of Temporal Properties on Prostate Cancer Characterization.
IEEE Trans. Biomed. Eng., 2018

Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification.
BMC Medical Informatics Decis. Mak., 2018

Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes.
J. Biomed. Informatics, 2018

Compound image segmentation of published biomedical figures.
Bioinform., 2018

Extracting Figures and Captions from Scientific Publications.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Identifying Experimental Evidence in Biomedical Abstracts Relevant to Drug-Drug Interactions.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Co-occurrence of Medical Conditions: Exposing Patterns Through Probabilistic Topic Modeling.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Models of temporal enhanced ultrasound data for prostate cancer diagnosis: the impact of time-series order.
Proceedings of the Medical Imaging 2017: Image-Guided Procedures, 2017

Segmenting Compound Biomedical Figures into Their Constituent Panels.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017

Identifying articles relevant to drug-drug interaction: Addressing class imbalance.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Assessing chronic kidney disease from office visit records using hierarchical meta-classification of an imbalanced dataset.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Prostate Cancer: Improved Tissue Characterization by Temporal Modeling of Radio-Frequency Ultrasound Echo Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Improved Multi-Label Classification Using Inter-Dependence Structure via a Generative Mixture Model.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

UDEL CIS Working Notes in ImageCLEF 2016.
Proceedings of the Working Notes of CLEF 2016, 2016

Identifying patterns of associated-conditions through topic models of Electronic Medical Records.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Summary of the BioLINK SIG 2013 meeting at ISMB/ECCB 2013.
Bioinform., 2015

Protein (multi-)location prediction: utilizing interdependencies via a generative model.
Bioinform., 2015

Utilizing image-based features in biomedical document classification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

CIS UDEL Working Notes on ImageCLEF 2015: Compound Figure Detection Task.
Proceedings of the Working Notes of CLEF 2015, 2015

Using Hidden Markov Models to capture temporal aspects of ultrasound data in prostate cancer.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Protein (multi-)location prediction: using location inter-dependencies in a probabilistic framework.
Algorithms Mol. Biol., 2014

Identifying hypertrophic cardiomyopathy patients by classifying individual heartbeats from 12-lead ECG signals.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Using unsupervised learning to determine risk level for left ventricular diastolic dysfunction.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Identifying growth-patterns in children by applying cluster analysis to electronic medical records.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Protein Function Prediction using Text-based Features extracted from the Biomedical Literature: The CAFA Challenge.
BMC Bioinform., 2013

What We Found on Our Way to Building a Classifier: A Critical Analysis of the AHA Screening Questionnaire.
Proceedings of the Brain and Health Informatics - International Conference, 2013

2012
Correction: A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature.
BMC Bioinform., 2012

Detecting and using document structure in scientific text.
Proceedings of the ACM International Health Informatics Symposium, 2012

Building a classifier for identifying sentences pertaining to disease-drug relationships in tardive dyskinesia.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

OCR-based image features for biomedical image and article classification: identifying documents relevant to cis-regulatory elements.
Proceedings of the ACM International Conference on Bioinformatics, 2012

OCR-Based Image Features for Biomedical Image and Article Classification: Identifying Documents Relevant to Genomic Cis-Regulatory Elements.
Proceedings of the Information Retrieval and Knowledge Discovery in Biomedical Text, 2012

2011
A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature.
BMC Bioinform., 2011

The Protein-Protein Interaction tasks of BioCreative III: classification/ranking of articles and linking bio-ontology concepts to full text.
BMC Bioinform., 2011

An Automatic System for Extracting Figures and Captions in Biomedical PDF Documents.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
DTMBIO workshop summary.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
How to Get the Most out of Your Curation Effort.
PLoS Comput. Biol., 2009

Functionally informative tag SNP selection using a pareto-optimal approach: playing the game of life.
BMC Bioinform., 2009

An integrative scoring system for ranking SNPs by their potential deleterious effects.
Bioinform., 2009

2008
F-SNP: computationally predicted functional SNPs for disease association studies.
Nucleic Acids Res., 2008

Ranking single nucleotide polymorphisms by potential deleterious effects.
BMC Bioinform., 2008

Multi-dimensional classification of biomedical text: Toward automated, practical provision of high-utility text to diverse users.
Bioinform., 2008

EpiLoc: A (Working) Text-Based System for Predicting Protein Subcellular Location.
Proceedings of the Biocomputing 2008, 2008

Toward Computer-Assisted Text Curation: Classification Is Easy (Choosing Training Data Can Be Hard...).
Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

Overview of the Ninth Annual Meeting of the BioLINK SIG at ISMB: Linking Literature, Information and Knowledge for Biology.
Proceedings of the Linking Literature, Information, and Knowledge for Biology, 2008

2007
SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data.
Bioinform., 2007

Two Birds, One Stone: Selecting Functionally Informative Tag SNPs for Disease Association Studies.
Proceedings of the Algorithms in Bioinformatics, 7th International Workshop, 2007

Using Cluster Ensemble and Validation to Identify Subtypes of Pervasive Developmental Disorders.
Proceedings of the AMIA 2007, 2007

2006
New directions in biomedical text annotation: definitions, guidelines and corpus construction.
BMC Bioinform., 2006

Discovering semantic features in the literature: a foundation for building functional associations.
BMC Bioinform., 2006

Combining multi-species genomic data for microRNA identification using a Naïve Bayes classifier.
Bioinform., 2006

Significantly Improved Prediction of Subcellular Localization by Integrating Text and Protein Sequence Data .
Proceedings of the Biocomputing 2006, 2006

Integrating image data into biomedical text categorization.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

BNTagger: improved tagging SNP selection using Bayesian networks.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

Use of Figures in Literature Mining for Biomedical Digital Libraries.
Proceedings of the Second International Workshop on Document Image Analysis for Libraries (DIAL 2006), 2006

Breast Cancer Prognosis via Gaussian Mixture Regression.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

Exploring a new space of features for document classification: figure clustering.
Proceedings of the 2006 conference of the Centre for Advanced Studies on Collaborative Research, 2006

2005
Hairpins in bookstacks: Information retrieval from biomedical text.
Briefings Bioinform., 2005

Applying Probabilistic Thematic Clustering for Classification in the TREC 2005 Genomics Track.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

2004
ThurGood: Evaluating Assembly-to-Assembly Mapping.
J. Comput. Biol., 2004

2003
Mining the Biomedical Literature in the Genomic Era: An Overview.
J. Comput. Biol., 2003

2002
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap.
J. Artif. Intell. Res., 2002

Information Retrieval Meets Gene Analysis.
IEEE Intell. Syst., 2002

2000
Genes, Themes, and Microarrays: Using Information Retrieval for Large-Scale Gene Analysis.
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology, 2000

Finding Themes in Medline Documents: Probabilistic Similarity Search.
Proceedings of IEEE Advances in Digital Libraries 2000 (ADL 2000), 2000

1999
Learning Hidden Markov Models with Geometrical Constraints.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999

1998
Heading in the Right Direction.
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), 1998

1997
Learning Topological Maps with Weak Local Odometric Information.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Approximate Queries and Representations for Large Data Sequences.
Proceedings of the Twelfth International Conference on Data Engineering, February 26, 1996


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