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2020 – today
- 2024
[c23]Ziwei Wang, Irena Koprinska, Bryn Jeffries:
Interpretable Methods for Early Prediction of Student Performance in Programming Courses. AIED Companion (2) 2024: 115-123- [c22]Ka Weng Pan, Bryn Jeffries, Irena Koprinska:
Predicting Successful Programming Submissions Based on Critical Logic Blocks. AIED (2) 2024: 363-371 - 2023
- [j3]Eileen Wang
, Irena Koprinska, Bryn Jeffries:
Sleep Apnea Prediction Using Deep Learning. IEEE J. Biomed. Health Informatics 27(11): 5644-5654 (2023) - [c21]Vincent Zhang, Bryn Jeffries, Irena Koprinska:
Predicting Progress in a Large-Scale Online Programming Course. AIED 2023: 810-816 - 2022
- [c20]Bryn Jeffries, Timothy Baldwin, Marion Zalk:
Online Examinations in a Large Australian CS1 Course. ACE 2022: 20-26 - [c19]Sophia Polito, Irena Koprinska, Bryn Jeffries:
Exploring Student Engagement in an Online Programming Course Using Machine Learning Methods. AIED (2) 2022: 546-550 - [c18]Jung A. Lee, Irena Koprinska, Bryn Jeffries:
Data Mining of Syntax Errors in a Large-Scale Online Python Course. AIED (2) 2022: 599-603 - [c17]Matthew Farrugia-Roberts, Bryn Jeffries, Harald Søndergaard:
Programming to Learn: Logic and Computation from a Programming Perspective. ITiCSE (1) 2022: 311-317 - [c16]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: 337-343 - [c15]Stephen McCloskey, Bryn Jeffries, Irena Koprinska, Christopher Gordon, Ronald R. Grunstein:
Insomnia Disorder Detection Using EEG Sleep Trajectories. PAKDD (3) 2022: 314-325 - [c14]Matthew Farrugia-Roberts, Bryn Jeffries, Harald Søndergaard:
Teaching Simple Constructive Proofs with Haskell Programs. TFPIE 2022: 54-73 - 2021
- [c13]Jessica McBroom, Benjamin Paassen, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
Progress Networks as a Tool for Analysing Student Programming Difficulties. ACE 2021: 158-167 - [c12]Gabriel Raubenheimer, Bryn Jeffries, Kalina Yacef:
Toward Empirical Analysis of Pedagogical Feedback in Computer Programming Learning Environments. ACE 2021: 189-195 - [c11]Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. EDM 2021 - [c10]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 - [i1]Benjamin Paaßen, Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
ast2vec: Utilizing Recursive Neural Encodings of Python Programs. CoRR abs/2103.11614 (2021) - 2020
- [j2]Uwe Röhm, Lexi Brent, Tim Dawborn, Bryn Jeffries:
SQL for Data Scientists: Designing SQL Tutorials for Scalable Online Teaching. Proc. VLDB Endow. 13(12): 2989-2992 (2020) - [c9]Bryn Jeffries, Timothy Baldwin, Marion Zalk, Ben Taylor:
Online Tutoring to Support Programming Exercises. ACE 2020: 56-65 - [c8]Rim Haidar, Irena Koprinska, Bryn Jeffries:
Sleep Apnea Event Prediction Using Convolutional Neural Networks and Markov Chains. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j1]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) - [c7]Rim Haidar, Irena Koprinska, Bryn Jeffries:
Feature Learning and Data Compression of Biosignals Using Convolutional Autoencoders for Sleep Apnea Detection. ICONIP (1) 2019: 162-174 - 2018
- [c6]Rim Haidar, Stephen McCloskey, Irena Koprinska, Bryn Jeffries:
Convolutional Neural Networks on Multiple Respiratory Channels to Detect Hypopnea and Obstructive Apnea Events. IJCNN 2018: 1-7 - [c5]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: 361-372 - 2017
- [c4]Rim Haidar, Irena Koprinska, Bryn Jeffries:
Sleep Apnea Event Detection from Nasal Airflow Using Convolutional Neural Networks. ICONIP (5) 2017: 819-827 - 2016
- [c3]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: 1 - [c2]Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
Mining behaviors of students in autograding submission system logs. EDM 2016: 159-166 - [c1]Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef:
Exploring and Following Students' Strategies When Completing Their Weekly Tasks. EDM 2016: 609-610
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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