A no-reference audio-visual video quality metric. - Helard Becerra Martinez; Mylène C. Q. Farias (EUSIPCO, 2014)

An objective model for audio-visual quality. - Helard Becerra Martinez; Mylène C. Q. Farias (IQSP, 2014)

Full-reference audio-visual video quality metric. - Helard Becerra Martinez; Mylène C. Q. Farias (J. Electronic Imaging, 2014)

Perceived quality of audio-visual stimuli containing streaming audio degradations. - Helard Becerra Martinez; Mylène C. Q. Farias; Andrew Hines (EUSIPCO, 2018)

Using The Immersive Methodology to Assess The Quality of Videos Transmitted in UDP and TCP-Based Scenarios. - Helard Becerra Martinez; Mylène C. Q. Farias (IQSP, 2018)

Combining audio and video metrics to assess audio-visual quality. - Helard Becerra Martinez; Mylène C. Q. Farias (Multim. Tools Appl., 2018)

NAViDAd: A No-Reference Audio-Visual Quality Metric Based on a Deep Autoencoder. - Helard Becerra Martinez; Mylène C. Q. Farias; Andrew Hines (EUSIPCO, 2019)

A No-Reference Autoencoder Video Quality Metric. - Helard Becerra Martinez; Mylène C. Q. Farias; Andrew Hines (ICIP, 2019)

Analyzing the influence of cross-modal IP-based degradations on the perceived audio-visual quality. - Helard Becerra Martinez; Mylène C. Q. Farias (IQSP, 2019)

Analyzing the performance of autoencoder-based objective quality metrics on audio-visual content. - Helard Becerra Martinez; Mylène C. Q. Farias; Andrew Hines (IQSP, 2020)

How Deep is Your Encoder: An Analysis of Features Descriptors for an Autoencoder-Based Audio-Visual Quality Metric. - Helard Becerra Martinez; Andrew Hines; Mylène C. Q. Farias (QoMEX, 2020)

UnB-AV: An Audio-Visual Database for Multimedia Quality Research. - Helard Becerra Martinez; Andrew Hines; Mylène C. Q. Farias (IEEE Access, 2020)

Analyzing the effect of adding temporal features to an autoencoder-based video quality model. - André H. M. Costa; Helard Becerra Martinez; Daniel G. Silva; Mylène C. Q. Farias (IQSP, 2021)

Exploring the boundaries of an AE-based quality model: a performance analysis via synthetic content. - Helard Becerra Martinez; André H. M. da Costa; Bruna Azambuja; Andrew Hines; Mylène C. Q. Farias (IQSP, 2021)

Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction. - Helard Becerra Martinez; Alessandro Ragano; Andrew Hines (INTERSPEECH, 2022)

See hear now: is audio-visual QoE now just a fusion of audio and video metrics? - Helard Becerra Martinez; Andrew Hines; Mylène C. Q. Farias (QoMEX, 2022)

Transparently Predicting Therapy Compliance of Young Adults Following Ischemic Stroke. - Helard Becerra Martinez; Katryna Cisek; Alejandro García-Rudolph; John D. Kelleher; Andrew Hines (xAI (4), 2024)

Dialogue Understandability: Why are we streaming movies with subtitles? - Helard Becerra Martinez; Alessandro Ragano; Diptasree Debnath; Asad Ullah; Crisron Rudolf Lucas; Martin Walsh; Andrew Hines (CoRR, 2024)

Beyond Correlation: Evaluating Multimedia Quality Models With the Constrained Concordance Index. - Alessandro Ragano; Helard Becerra Martinez; Andrew Hines (IEEE Trans. Multim., 2025)