A framework for camera pose tracking using stochastic data fusion. - Armaghan Moemeni; Eric W. Tatham (ICE-GIC, 2010)

Inertial-visual pose tracking using optical flow-aided particle filtering. - Armaghan Moemeni; Eric W. Tatham (CIMSIVP, 2014)

Hybrid marker-less camera pose tracking with integrated sensor fusion. - Armaghan Moemeni (2014)

Low-Cost Automatic Ambient Assisted Living System. - Hossein Malekmohamadi; Armaghan Moemeni; Ahmet Orun; Jayendra Kumar Purohit (PerCom Workshops, 2018)

Dealing with Scarce Labelled Data: Semi-supervised Deep Learning with Mix Match for Covid-19 Detection Using Chest X-ray Images. - Saúl Calderón Ramírez; Raghvendra Giri; Shengxiang Yang; Armaghan Moemeni; Mario Umaña; David A. Elizondo; Jordina Torrents-Barrena; Miguel A. Molina-Cabello (ICPR, 2020)

A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning. - Ariana Bermudez; Saúl Calderón Ramírez; Trevor Thang; Pascal N. Tyrrell; Armaghan Moemeni; Shengxiang Yang; Jordina Torrents-Barrena (IJCNN, 2020)

MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures. - Saúl Calderón Ramírez; Luis Oala; Jordina Torrents-Barrena; Shengxiang Yang; Armaghan Moemeni; Wojciech Samek; Miguel A. Molina-Cabello (CoRR, 2020)

Improving Uncertainty Estimations for Mammogram Classification using Semi-Supervised Learning. - Saúl Calderón Ramírez; Diego Murillo-Hernandez; Kevin Rojas-Salazar; Luis-Alexander Calvo-Valverde; Shengxiang Yang; Armaghan Moemeni; David A. Elizondo; Ezequiel López-Rubio; Miguel A. Molina-Cabello (IJCNN, 2021)

Improving Uncertainty Estimation With Semi-Supervised Deep Learning for COVID-19 Detection Using Chest X-Ray Images. - Saúl Calderón Ramírez; Shengxiang Yang; Armaghan Moemeni; Simon Colreavy-Donnelly; David A. Elizondo; Luis Oala; Jorge Rodríguez-Capitán; Manuel Jiménez-Navarro; Ezequiel López-Rubio; Miguel A. Molina-Cabello (IEEE Access, 2021)

Correcting data imbalance for semi-supervised COVID-19 detection using X-ray chest images. - Saúl Calderón Ramírez; Shengxiang Yang; Armaghan Moemeni; David A. Elizondo; Simon Colreavy-Donnelly; Luis Fernando Chavarria-Estrada; Miguel A. Molina-Cabello (Appl. Soft Comput., 2021)

Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities. - Saúl Calderón Ramírez; Shengxiang Yang; David A. Elizondo; Armaghan Moemeni (Appl. Soft Comput., 2022)

A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. - Saúl Calderón Ramírez; Diego Murillo-Hernandez; Kevin Rojas-Salazar; David A. Elizondo; Shengxiang Yang; Armaghan Moemeni; Miguel A. Molina-Cabello (Medical Biol. Eng. Comput., 2022)

Comparing a Graphical User Interface, Hand Gestures and Controller in Virtual Reality for Robot Teleoperation. - Jialin Chen; Armaghan Moemeni; Praminda Caleb-Solly (HRI (Companion), 2023)

Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset. - Ziling Wu; Armaghan Moemeni; Simon Castle-Green; Praminda Caleb-Solly (IJCNN, 2023)

Dataset Similarity to Assess Semisupervised Learning Under Distribution Mismatch Between the Labeled and Unlabeled Datasets. - Saúl Calderón Ramírez; Luis Oala; Jordina Torrents-Barrena; Shengxiang Yang; David A. Elizondo; Armaghan Moemeni; Simon Colreavy-Donnelly; Wojciech Samek; Miguel A. Molina-Cabello; Ezequiel López-Rubio (IEEE Trans. Artif. Intell., 2023)

Ensemble Foreground Management for Unsupervised Object Discovery. - Ziling Wu; Armaghan Moemeni; Praminda Caleb-Solly (CoRR, 2025)