Jesse Eickholt

Publication Activity (10 Years)

Years Active: 2009-2022
Publications (10 Years): 15

Top Topics

Introductory Computer Science

Protein Secondary Structure Prediction

Active Learning Strategies

Top Venues

Publications

Jesse Eickholt, Jennifer L. Weible, Stephanie D. Teasley
Student-facing Learning Analytics Dashboard: Profiles of Student Use. FIE (2022)
Ming Liu, Qiyu Sun, Dustin E. Brewer, Thomas M. Gehring, Jesse Eickholt
An Ornithologist's Guide for Including Machine Learning in a Workflow to Identify a Secretive Focal Species from Recorded Audio. Remote. Sens. 14 (15) (2022)
Jesse Eickholt, Matthew R. Johnson, Patrick Seeling
Practical Active Learning Stations to Transform Existing Learning Environments Into Flexible, Active Learning Classrooms. IEEE Trans. Educ. 64 (2) (2021)
Jesse Eickholt, Patrick Seeling
Pedagogy and Classroom: How Can I Do This in That Space or Does it Even Matter? SIGCSE (2020)
John Smith, Matthew Conover, Natalie Stephenson, Jesse Eickholt, Dong Si, Miao Sun, Renzhi Cao
TopQA: a topological representation for single-model protein quality assessment with machine learning. Int. J. Comput. Biol. Drug Des. 13 (1) (2020)
Jesse Eickholt
Supporting Instructor Reflection on Employed Teaching Techniques via Multimodal Instructor Analytics. FIE (2020)
Patrick Seeling, Jesse Eickholt, Quentrese Hinton, Matthew R. Johnson
Low-Cost Active Learning Benefits for Introductory Computer Science Courses. FIE (2019)
Jesse Eickholt, Lisa Gandy, Patrick Seeling, Matthew R. Johnson
Advancing Adoption of Active Learning Pedagogy via New Avenues of Research and Training. FIE (2019)
Jesse Eickholt
Barriers to Active Learning for Computer Science Faculty. CoRR (2018)
Quentrese Cole, Matthew R. Johnson, Jesse Eickholt
Creating Economy Active Learning Classrooms for IT Students. SIGITE (2017)
Jesse Eickholt, Sharad Shrestha
Teaching Big Data and Cloud Computing with a Physical Cluster. SIGCSE (2017)
Patrick Seeling, Jesse Eickholt
Levels of active learning in programming skill acquisition: From lecture to active learning rooms. FIE (2017)
Liling Li, Tyler Danner, Jesse Eickholt, Erin McCann, Kevin Pangle, Nicholas Johnson
A distributed pipeline for DIDSON data processing. IEEE BigData (2017)
Jesse Eickholt, John Roush, Patrick Seeling, Thiruvarangan Vedantham, Matthew R. Johnson
Supporting active learning through commodity and open source solutions. FIE (2017)
Matt Spencer, Jesse Eickholt, Jianlin Cheng
A Deep Learning Network Approach to ab initio Protein Secondary Structure Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (1) (2015)
Jesse Eickholt, Suman Karki
Adopting the MapReduce framework to pre-train 1-D and 2-D protein structure predictors with large protein datasets. BIBM (2014)
Jesse Eickholt, Jianlin Cheng
A study and benchmark of DNcon: a method for protein residue-residue contact prediction using deep networks. BMC Bioinform. 14 (S-14) (2013)
Jesse Eickholt, Jianlin Cheng
DNdisorder: predicting protein disorder using boosting and deep networks. BMC Bioinform. 14 (2013)
Jesse Eickholt, Jianlin Cheng
Predicting protein residue-residue contacts using deep networks and boosting. Bioinform. 28 (23) (2012)
Jianlin Cheng, Jesse Eickholt, Zheng Wang, Xin Deng
Recursive protein Modeling: a Divide and Conquer Strategy for protein Structure Prediction and its Case Study in CASP9. J. Bioinform. Comput. Biol. 10 (3) (2012)
Jianlin Cheng, Jilong Li, Zheng Wang, Jesse Eickholt, Xin Deng
The MULTICOM toolbox for protein structure prediction. BMC Bioinform. 13 (2012)
Zheng Wang, Jesse Eickholt, Jianlin Cheng
APOLLO: a quality assessment service for single and multiple protein models. Bioinform. 27 (12) (2011)
Jesse Eickholt, Xin Deng, Jianlin Cheng
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning. BMC Bioinform. 12 (2011)
Jianlin Cheng, Zheng Wang, Jesse Eickholt, Xin Deng
Recursive protein modeling: A divide and conquer strategy for protein structure prediction and its case study in CASP9. BIBM Workshops (2011)
Zheng Wang, Jesse Eickholt, Jianlin Cheng
MULTICOM: a multi-level combination approach to protein structure prediction and its assessments in CASP8. Bioinform. 26 (7) (2010)
Allison N. Tegge, Zheng Wang, Jesse Eickholt, Jianlin Cheng
NNcon: improved protein contact map prediction using 2D-recursive neural networks. Nucleic Acids Res. 37 (Web-Server-Issue) (2009)
Xin Deng, Jesse Eickholt, Jianlin Cheng
PreDisorder: ab initio sequence-based prediction of protein disordered regions. BMC Bioinform. 10 (2009)