Dong Si

发表

Improved Efficiency in Cryo-EM Secondary Structure Topology Determination from Inaccurate Data

Desh Ranjan, Mohammad Zubair, Abhishek Biswas, 2012, J. Bioinform. Comput. Biol..

Research on Attack on Personalized Recommendations in E-commerce

Dong Si, 2007 .

Parkinson’s Disease Classification of mPower Walking Activity Participants

Dong Si, Benjamin Pittman, Reza Hosseini Ghomi, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Comparison of Feature Reduction Methods and Machine Learning Models for Breast Cancer Diagnosis

Dong Si, Todor K. Avramov, 2017, ICCDA '17.

Genetic Algorithm Based Beta-Barrel Detection for Medium Resolution Cryo-EM Density Maps

Albert Ng, Dong Si, 2017, ISBRA.

AngularQA: Protein Model Quality Assessment with LSTM Networks

Dong Si, Renzhi Cao, Matthew Conover, 2019, bioRxiv.

CryoEM skeleton length estimation using a decimated curve

Andrey N. Chernikov, Dong Si, Kamal Al-Nasr, 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops.

Automated Threshold Selection for Cryo-EM Density Maps

Dong Si, Jonas Pfab, Dong Si, 2019, bioRxiv.

Analyze NYC Transportation to Mitigate Speeding and Explore New Business Models Using Machine Learning

Dong Si, Joe Ma, 2017, ICCDA '17.

Scaling up Prediction of Psychosis by Natural Language Processing

Dong Si, Sunny Chieh Cheng, Ruiwen Xing, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

Computational development for secondary structure detection from three-dimensional images of cryo-electron microscopy

Dong Si, Dong Si, 2015 .

Automated Protein Chain Isolation from 3D Cryo-EM Data and Volume Comparison Tool

Dong Si, Michael Nissenson, Dong Si, 2017, BCB.

Who's Next: Evaluating Attrition with Machine Learning Algorithms and Survival Analysis

Dong Si, Jessica Frierson, Dong Si, 2018, BigData Congress.

Cancer Type Prediction and Classification Based on RNA-sequencing Data

Dong Si, Yi-Hsin Hsu, Yi-Hsin Hsu, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Outcomes of the 2019 EMDataResource model challenge: validation of cryo-EM models at near-atomic resolution

Genki Terashi, Daisuke Kihara, Grigore D. Pintilie, 2020, bioRxiv.

Anomaly Detection from Kepler Satellite Time-Series Data

Dong Si, Nathaniel Grabaskas, 2017, MLDM.

Comparison of deep learning approaches to low dose CT using low intensity and sparse view data

Dong Si, Ruiwen Xing, Thomas Humphries, 2019, Medical Imaging.

GPU Accelerated Ray Tracing for the Beta-Barrel Detection from Three-Dimensional Cryo-EM Maps

Albert Ng, Dong Si, Adedayo Odesile, 2018, ISBRA.

A Constraint Dynamic Graph Approach to Identify the Secondary Structure Topology from cryoEM Density Data in Presence of Errors

Desh Ranjan, Mohammad Zubair, Abhishek Biswas, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction

Dong Si, Renzhi Cao, Max Staples, 2019, 2019 IEEE Technology & Engineering Management Conference (TEMSCON).

Machine Learning of Spatiotemporal Bursting Behavior in Developing Neural Networks

Dong Si, Michael Stiber, Jewel Yun-Hsuan Lee, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

AngularQA: Protein Model Quality Assessment with LSTM Networks

Miao Sun, Dong Si, Renzhi Cao, 2019 .

Session details: Session 19: Automated Diagnosys and Prediction II

Dong Si, 2017, BIOINFORMATICS 2017.

A Graph Based Method for the Prediction of Backbone Trace from Cryo-EM Density Maps

Dong Si, Peter Collins, Dong Si, 2017, BCB.

TopQA: a topological representation for single-model protein quality assessment with machine learning

Dong Si, Renzhi Cao, John Smith, 2020 .

Combining image processing and modeling to generate traces of beta-strands from cryo-EM density images of beta-barrels

Dong Si, Jing He, Jing He, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Deep Learning for Validating and Estimating Resolution of Cryo-Electron Microscopy Density Maps

Dong Si, Javier Vargas, Todor K. Avramov, 2019, Molecules.

A Constrained K-shortest Path Algorithm to Rank the Topologies of the Protein Secondary Structure Elements Detected in CryoEM Volume Maps

Desh Ranjan, Mohammad Zubair, Jing He, 2013, BCB.

Deep Learning for Resolution Validation of Three Dimensional Cryo-Electron Microscopy Density Maps

Dong Si, Todor K. Avramov, Dong Si, 2018, BCB.

Beta-Barrel Detection for Medium Resolution Cryo-Electron Microscopy Density Maps Using Genetic Algorithms and Ray Tracing

Albert Ng, Dong Si, 2018, J. Comput. Biol..

Prediction of Insurance Claim Severity Loss Using Regression Models

Dong Si, Ruth M. Ogunnaike, 2017, MLDM.

Building the initial chain of the proteins through de novo modeling of the cryo-electron microscopy volume data at the medium resolutions

Desh Ranjan, Mohammad Zubair, Dong Si, 2012, BCB.

EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging

Jingjing Yang, Dong Si, Renzhi Cao, 2018, BCB.

Traveler's Next Activity Predication with Location-Based Social Network Data

Dong Si, Ying Chen, Diem To, 2019, PredictGIS@SIGSPATIAL.

Automated Threshold Selection for Cryo-EM Density Maps

Dong Si, Jonas Pfab, 2019, BCB.

Machine Learning Classification of Tree Cover Type and Application to Forest Management

Dong Si, Duncan Macmichael, Dong Si, 2018, Int. J. Multim. Data Eng. Manag..

Detection of Secondary Structures from 3D Protein Images of Medium Resolutions and its Challenges

Dong Si, Jing He, Maryam Arab, 2015, ICIG.

A Wizard-of-Oz Interface and Persona-based Methodology for Collecting Health Counseling Dialog

Dong Si, William R. Kearns, Neha Kaura, 2020, CHI Extended Abstracts.

TopQA: a topological representation for single-model protein quality assessment with machine learning

Dong Si, Renzhi Cao, Jesse Eickholt, 2020, Int. J. Comput. Biol. Drug Des..

Classification of Brain Activity Using Brainwaves Recorded by Consumer-grade EEG Devices

Dong Si, Elizaveta Kosiachenko, D. Si, 2017, Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry.

Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps

Dong Si, Renzhi Cao, Jianlin Cheng, 2020, Scientific Reports.

DeepTracer: Predicting Backbone Atomic Structure from High Resolution Cryo-EM Density Maps of Protein Complexes

Dong Si, Jonas Pfab, Dong Si, 2020, bioRxiv.

Orientations of beta-strand traces and near maximum twist

Dong Si, Jing He, Jing He, 2014, BCB.

Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction

Dong Si, Renzhi Cao, Max Staples, 2019 .

Beta-sheet Detection and Representation from Medium Resolution Cryo-EM Density Maps

Dong Si, Jing He, Jing He, 2013, BCB.

Prediction of Injuries and Fatalities in Aviation Accidents through Machine Learning

Dong Si, R. Alan Burnett, Dong Si, 2017, ICCDA '17.

Automatic Detection of Beta-barrel from Medium Resolution Cryo-EM Density Maps

Dong Si, Dong Si, 2016, BCB.

Consideration of the System Reform of the Rear Service Center in Administration Departement

Dong Si, 2004 .

Addressing Forest Management Challenges by Refining Tree Cover Type Classification with Machine Learning Models

Dong Si, Duncan Macmichael, Dong Si, 2017, 2017 IEEE International Conference on Information Reuse and Integration (IRI).

Artificial intelligence advances for de novo molecular structure modeling in cryo‐electron microscopy pdf

Dong Si, Renzhi Cao, Kyle Hippe, 2021, WIREs Computational Molecular Science.

Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps

Dong Si, Renzhi Cao, Jianlin Cheng, 2019, bioRxiv.

A machine learning approach for the identification of protein secondary structure elements from electron cryo-microscopy density maps.

Dong Si, Jing He, Shuiwang Ji, 2012, Biopolymers.

Tracing beta strands using StrandTwister from cryo-EM density maps at medium resolutions.

Dong Si, Jing He, Jing He, 2014, Structure.

Parkinson’s Disease Diagnosis Using Machine Learning and Voice

Dong Si, David C. Atkins, Cenk Demiroglu, 2018, 2018 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps

Dong Si, Jing He, Jing He, 2017, BioMed research international.

Estimating loop length from CryoEM images at medium resolutions

Andrey N. Chernikov, Dong Si, Nikos Chrisochoides, 2013, BMC Structural Biology.