Multi-detection and Segmentation of Breast Lesions Based on Mask RCNN-FPN. - Hafiz Muhammd Ali Bhatti; Jiyun Li; Shahbaz Siddeeq; Abdul Rehman; Arslan Manzoor (BIBM, 2020)

Analysis and Detection of Lung Sounds Anomalies Based on NMA-RNN. - Arslan Manzoor; Qiao Pan; Hadiqa Jalil Khan; Shahbaz Siddeeq; Hafiz Muhammd Ali Bhatti; Mulubrhan Ayalew Wedagu (BIBM, 2020)

Deep Learning RN-BCNN Model for Breast Cancer BI-RADS Classification. - Shahbaz Siddeeq; Jiyun Li; Hafiz Muhammad Ali Bhatti; Arslan Manzoor; Umar Subhan Malhi (ICIGP, 2021)

TimeLess: A Vision for the Next Generation of Software Development. - Zeeshan Rasheed; Malik Abdul Sami; Jussi Rasku; Kai-Kristian Kemell; Zheying Zhang; Janne Harjamäki; Shahbaz Siddeeq; Sami Lahti; Tomas Herda; Mikko Nurminen; Niklas Lavesson; Jose Siqueira de Cerqueira; et al. (CoRR, 2024)

Efficient Visual-Aware Fashion Recommendation Using Compressed Node Features and Graph-Based Learning. - Umar Subhan Malhi; Junfeng Zhou; Abdur Rasool; Shahbaz Siddeeq (Mach. Learn. Knowl. Extr., 2024)

Autonomous Legacy Web Application Upgrades Using a Multi-Agent System. - Valtteri Ala-Salmi; Zeeshan Rasheed; Malik Abdul Sami; Zheying Zhang; Kai-Kristian Kemell; Jussi Rasku; Shahbaz Siddeeq; Mika Saari; Pekka Abrahamsson (ENASE, 2025)

Distributed Approach to Haskell Based Applications Refactoring with LLMs Based Multi-Agent Systems. - Shahbaz Siddeeq; Zeeshan Rasheed; Malik Abdul Sami; Mahade Hasan; Muhammad Waseem; Jussi Rasku; Mika Saari; Kai-Kristian Kemell; Pekka Abrahamsson (CoRR, 2025)

LLM-based Multi-Agent System for Intelligent Refactoring of Haskell Code. - Shahbaz Siddeeq; Muhammad Waseem; Zeeshan Rasheed; Md Mahade Hasan; Jussi Rasku; Mika Saari; Henri Terho; Kalle Makela; Kai-Kristian Kemell; Pekka Abrahamsson (CoRR, 2025)