Bryn Jeffries

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Empirical Analysis

Programming Course

Convolutional Neural Networks

Top Venues

Publications

Ziwei Wang, Irena Koprinska, Bryn Jeffries
Interpretable Methods for Early Prediction of Student Performance in Programming Courses. AIED Companion (2) (2024)
Ka Weng Pan, Bryn Jeffries, Irena Koprinska
Predicting Successful Programming Submissions Based on Critical Logic Blocks. AIED (2) (2024)
Vincent Zhang, Bryn Jeffries, Irena Koprinska
Predicting Progress in a Large-Scale Online Programming Course. AIED (2023)
Eileen Wang, Irena Koprinska, Bryn Jeffries
Sleep Apnea Prediction Using Deep Learning. IEEE J. Biomed. Health Informatics 27 (11) (2023)
Bryn Jeffries, Jung A. Lee, Irena Koprinska
115 Ways Not to Say Hello, World!: Syntax Errors Observed in a Large-Scale Online CS0 Python Course. ITiCSE (1) (2022)
Sophia Polito, Irena Koprinska, Bryn Jeffries
Exploring Student Engagement in an Online Programming Course Using Machine Learning Methods. AIED (2) (2022)
Bryn Jeffries, Timothy Baldwin, Marion Zalk
Online Examinations in a Large Australian CS1 Course. ACE (2022)
Matthew Farrugia-Roberts, Bryn Jeffries, Harald Søndergaard
Teaching Simple Constructive Proofs with Haskell Programs. TFPIE (2022)
Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher Gordon, Ronald R. Grunstein
Insomnia Disorder Detection Using EEG Sleep Trajectories. PAKDD (3) (2022)
Matthew Farrugia-Roberts, Bryn Jeffries, Harald Søndergaard
Programming to Learn: Logic and Computation from a Programming Perspective. ITiCSE (1) (2022)
Jung A. Lee, Irena Koprinska, Bryn Jeffries
Data Mining of Syntax Errors in a Large-Scale Online Python Course. AIED (2) (2022)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
Next Steps for Next-step Hints: Lessons Learned from Teacher Evaluations of Automatic Programming Hints (Full Paper). EDM (Workshops) (2021)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. EDM (2021)
Gabriel Raubenheimer, Bryn Jeffries, Kalina Yacef
Toward Empirical Analysis of Pedagogical Feedback in Computer Programming Learning Environments. ACE (2021)
Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef
Progress Networks as a Tool for Analysing Student Programming Difficulties. ACE (2021)
Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. CoRR (2021)
Uwe Röhm, Lexi Brent, Tim Dawborn, Bryn Jeffries
SQL for Data Scientists: Designing SQL Tutorials for Scalable Online Teaching. Proc. VLDB Endow. 13 (12) (2020)
Rim Haidar, Irena Koprinska, Bryn Jeffries
Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains. IJCNN (2020)
Bryn Jeffries, Timothy Baldwin, Marion Zalk, Ben Taylor
Online Tutoring to Support Programming Exercises. ACE (2020)
Rim Haidar, Irena Koprinska, Bryn Jeffries
Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection. ICONIP (1) (2019)
Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher B. Miller, Ronald R. Grunstein
Data-driven cluster analysis of insomnia disorder with physiology-based qEEG variables. Knowl. Based Syst. 183 (2019)
Rim Haidar, Stephen McCloskey, Irena Koprinska, Bryn Jeffries
Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events. IJCNN (2018)
Stephen McCloskey, Rim Haidar, Irena Koprinska, Bryn Jeffries
Detecting Hypopnea and Obstructive Apnea Events Using Convolutional Neural Networks on Wavelet Spectrograms of Nasal Airflow. PAKDD (1) (2018)
Rim Haidar, Irena Koprinska, Bryn Jeffries
Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks. ICONIP (5) (2017)
Vincent Gramoli, Michael A. Charleston, Bryn Jeffries, Irena Koprinska, Martin McGrane, Alex Radu, Anastasios Viglas, Kalina Yacef
Mining autograding data in computer science education. ACSW (2016)
Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
Exploring and Following Students' Strategies When Completing Their Weekly Tasks. EDM (2016)
Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef
Mining behaviors of students in autograding submission system logs. EDM (2016)