Learning how to analyse crowd behaviour using synthetic data. - Anish R. Khadka; Mahdi Maktab Dar Oghaz; W. Matta; M. Cosentino; Paolo Remagnino; Vasileios Argyriou (CASA, 2019)

Scene and Environment Monitoring Using Aerial Imagery and Deep Learning. - Mahdi Maktab Dar Oghaz; Manzoor Razaak; Hamideh Kerdegari; Vasileios Argyriou; Paolo Remagnino (DCOSS, 2019)

Skin Identification Using Deep Convolutional Neural Network. - Mahdi Maktab Dar Oghaz; Vasileios Argyriou; Dorothy Monekosso; Paolo Remagnino (ISVC (1), 2019)

A Comparison of Embedded Deep Learning Methods for Person Detection. - Chloe Eunhyang Kim; Mahdi Maktab Dar Oghaz; Jiri Fajtl; Vasileios Argyriou; Paolo Remagnino (VISIGRAPP (5: VISAPP), 2019)

Features Extraction based on an Origami Representation of 3D Landmarks. - Juan Manuel Fernandez Montenegro; Mahdi Maktab Dar Oghaz; Athanasios Gkelias; Georgios Tzimiropoulos; Vasileios Argyriou (VISIGRAPP (4: VISAPP), 2019)

Content-aware Density Map for Crowd Counting and Density Estimation. - Mahdi Maktab Dar Oghaz; Anish R. Khadka; Vasileios Argyriou; Paolo Remagnino (CoRR, 2019)

An optimized skin texture model using gray-level co-occurrence matrix. - Mahdi Maktab Dar Oghaz; Mohd Aizaini Maarof; Mohd. Foad Rohani; Anazida Binti Zainal; Syed Zainudeen Mohd Shaid (Neural Comput. Appl., 2019)

Use Case Prediction Using Deep Learning. - Tinashe Wamambo; Cristina Luca; Arooj Fatima 001; Mahdi Maktab Dar Oghaz (IntelliSys (1), 2021)

Urban Tree Species Classification Using Aerial Imagery. - Emily Waters; Mahdi Maktabdar Oghaz; Lakshmi Babu Saheer (CoRR, 2021)

Urban Tree Detection and Species Classification Using Aerial Imagery. - Mahdi Maktabdar Oghaz; Lakshmi Babu Saheer; Javad Zarrin (SAI (2), 2022)

Deep Convolutional Neural Networks for COVID-19 Detection from Chest X-Ray Images Using ResNetV2. - Tomiris Rakhymzhan; Javad Zarrin; Mahdi Maktabdar Oghaz; Lakshmi Babu Saheer (SAI (2), 2022)

Recurrent Neural Networks for Music Genre Classification. - Chaitanya Kakarla; Vidyashree Eshwarappa; Lakshmi Babu Saheer; Mahdi Maktabdar Oghaz (SGAI Conf., 2022)

Two-Phase Open-Domain Question Answering System. - Vysakh Prasannan; Shahin Shemshian; Arinc Gurkan; Lakshmi Babu Saheer; Mahdi Maktabdar Oghaz (SGAI Conf., 2022)

Credit Card Fraud Using Adversarial Attacks. - Hafya Ullah; Aysha Thahsin Zahir Ismail; Lakshmi Babu Saheer; Mahdi Maktabdar Oghaz (SGAI Conf., 2022)

Data-Driven Framework for Understanding and Predicting Air Quality in Urban Areas. - Lakshmi Babu Saheer; Ajay Bhasy; Mahdi Maktabdar Oghaz; Javad Zarrin (Frontiers Big Data, 2022)

Enhanced Single Shot Small Object Detector for Aerial Imagery Using Super-Resolution, Feature Fusion and Deconvolution. - Mahdi Maktab Dar Oghaz; Manzoor Razaak; Paolo Remagnino (Sensors, 2022)

Data Driven Model to Investigate Political Bias in Mainstream Media. - Eric Ness; Arooj Fatima 001; Mahdi Maktab Dar Oghaz (IEEE Access, 2023)

COVID-19 lateral flow test image classification using deep CNN and StyleGAN2. - Vishnu Pannipulath Venugopal; Lakshmi Babu Saheer; Mahdi Maktabdar Oghaz (Frontiers Artif. Intell., 2023)

Improved NO2 Prediction Using Machine Learning Algorithms. - Chukwuemeka Jaja-Wachuku; Lorenzo Garbagna; Lakshmi Babu Saheer; Mahdi Maktab Dar Oghaz (AIAI (2), 2024)

Respiratory Disease Detection Using Deep Convolutional Transformer Models. - Holly Burrows; Mahdi Maktabdar Oghaz; Lakshmi Babu Saheer (SGAI Conf. (2), 2024)

Spatial Interpolation of Air Quality: A UK Case Study. - Lorenzo Garbagna; Praseed Melethil; Lakshmi Babu Saheer; Mahdi Maktabdar Oghaz (SGAI Conf. (1), 2024)

Semantic Segmentation for Landslide Detection Using Segformer. - Hasnain Murtaza Syed; Mahdi Maktabdar Oghaz; Lakshmi Babu Saheer (SGAI Conf. (2), 2024)

Audio-Visual Emotion Recognition Using Deep Learning Methods. - Mukhambet Tolegenov; Lakshmi Babu Saheer; Mahdi Maktabdar Oghaz (SGAI Conf. (1), 2024)

Detection and classification of ChatGPT-generated content using deep transformer models. - Mahdi Maktabdar Oghaz; Lakshmi Babu Saheer; Kshipra Dhame; Gayathri Singaram (Frontiers Artif. Intell., 2025)