John Lalor
Title
Cited by
Cited by
Year
Building an evaluation scale using item response theory
JP Lalor, H Wu, H Yu
Proceedings of the Conference on Empirical Methods in Natural Language …, 2016
432016
Understanding deep learning performance through an examination of test set difficulty: A psychometric case study
JP Lalor, H Wu, T Munkhdalai, H Yu
Proceedings of the Conference on Empirical Methods in Natural Language …, 2018
19*2018
Reconsidering the impact of CS1 on novice attitudes
A Settle, J Lalor, T Steinbach
Proceedings of the 46th ACM Technical Symposium on Computer Science …, 2015
142015
Learning latent parameters without human response patterns: Item response theory with artificial crowds
JP Lalor, H Wu, H Yu
Proceedings of the Conference on Empirical Methods in Natural Language …, 2019
132019
ComprehENotes, an instrument to assess patient reading comprehension of electronic health record notes: development and validation
JP Lalor, H Wu, L Chen, KM Mazor, H Yu
Journal of medical Internet research 20 (4), e9380, 2018
132018
Detecting hypoglycemia incidents reported in patients’ secure messages: using cost-sensitive learning and oversampling to reduce data imbalance
J Chen, J Lalor, W Liu, E Druhl, E Granillo, VG Vimalananda, H Yu
Journal of medical Internet research 21 (3), e11990, 2019
122019
Citation analysis with neural attention models
T Munkhdalai, JP Lalor, H Yu
Proceedings of the Seventh International Workshop on Health Text Mining and …, 2016
122016
Improving electronic health record note comprehension with noteaid: randomized trial of electronic health record note comprehension interventions with crowdsourced workers
JP Lalor, B Woolf, H Yu
Journal of medical Internet research 21 (1), e10793, 2019
102019
Efficient semi-supervised learning for natural language understanding by optimizing diversity
E Cho, H Xie, JP Lalor, V Kumar, WM Campbell
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
92019
A computer science linked-courses learning community
A Settle, J Lalor, T Steinbach
Proceedings of the 2015 ACM Conference on Innovation and Technology in …, 2015
92015
Learning Object-Oriented Programming in Python: Towards an Inventory of Difficulties and Testing Pitfalls
C Miller, A Settle, J Lalor
82015
CIFT: Crowd-informed fine-tuning to improve machine learning ability
JP Lalor, H Wu, H Yu
arXiv preprint arXiv:1702.08563, 2017
7*2017
Dynamic data selection for curriculum learning via ability estimation
JP Lalor, H Yu
Proceedings of the Conference on Empirical Methods in Natural Language …, 2020
32020
Evaluating a linked-courses learning community for development majors
A Settle, J Lalor, T Steinbach
Proceedings of the 16th Annual Conference on Information Technology …, 2015
32015
An Empirical Analysis of Human-Bot Interaction on Reddit
MC Ma, JP Lalor
Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020 …, 2020
22020
Evaluation Examples Are Not Equally Informative: How Should That Change NLP Leaderboards?
P Rodriguez, J Barrow, A Hoyle, JP Lalor, R Jia, J Boyd-Graber
Association of Computational Linguistics, 2021
12021
Bots versus Humans in Online Social Networks: A Study of Reddit Communities
J Lalor, N Berente, H Safadi
INSNA Sunbelt Conference, 2020
12020
Evaluating the Effectiveness of NoteAid in a Community Hospital Setting: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Patients
JP Lalor, W Hu, M Tran, H Wu, KM Mazor, H Yu
Journal of medical Internet research 23 (5), e26354, 2021
2021
Learning Latent Characteristics of Data and Models using Item Response Theory
JP Lalor
2020
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