activity
20202025
most citedAlexa Depression and Anxiety Self-tests: A Preliminary Analysis of User Experience and Trust

15 citations · 30 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025★ 1 cited

ConCISE: A Reference-Free Conciseness Evaluation Metric for LLM-Generated Answers

Seyed Mohssen Ghafari, Ronny Kol, Juan C. Quiroz +5

Large language models (LLMs) frequently generate responses that are lengthy and verbose, filled with redundant or unnecessary details. This diminishes clarity and user satisfaction…

cs.LG2022★ 1 cited

Predicting adverse outcomes following catheter ablation treatment for atrial fibrillation

Juan C. Quiroz, David Brieger, Louisa Jorm +3

Objective: To develop prognostic survival models for predicting adverse outcomes after catheter ablation treatment for non-valvular atrial fibrillation (AF). Methods: We used a lin…

stat.ME2022

TreatmentEstimatoR: a Dashboard for Estimating Treatment Effects from Observational Health Data

Collin Sakal, Hon Hwang, Juan C Quiroz +1

Observational health data can be leveraged to measure the real-world use and potential benefits or risks of existing medical interventions. However, lack of programming proficiency…

cs.CL2020★ 9 cited

Automatic Speech Summarisation: A Scoping Review

Dana Rezazadegan, Shlomo Berkovsky, Juan C. Quiroz +4

Speech summarisation techniques take human speech as input and then output an abridged version as text or speech. Speech summarisation has applications in many domains from informa…

cs.HC2020★ 15 cited

Alexa Depression and Anxiety Self-tests: A Preliminary Analysis of User Experience and Trust

Juan C. Quiroz, Tristan Bongolan, Kiran Ijaz

Mental health resources available via websites and mobile apps provide support such as advice, journaling, and elements from cognitive behavioral therapy. The proliferation of spok…

cs.CL2020★ 4 cited

Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports

Juan C Quiroz, Liliana Laranjo, Catalin Tufanaru +4

Bayesian modelling and statistical text analysis rely on informed probability priors to encourage good solutions. This paper empirically analyses whether text in medical discharge…