Demo abstract: Demonstration of the FABER system for fine-grained recognition of abnormal behaviors. - Gabriele Civitarese; Zaffar Haider Janjua; Daniele Riboni; Claudio Bettini (PerCom Workshops, 2015)

From lab to life: Fine-grained behavior monitoring in the elderly's home. - Daniele Riboni; Claudio Bettini; Gabriele Civitarese; Zaffar Haider Janjua; Viola Bulgari (PerCom Workshops, 2015)

Fine-grained recognition of abnormal behaviors for early detection of mild cognitive impairment. - Daniele Riboni; Claudio Bettini; Gabriele Civitarese; Zaffar Haider Janjua; Rim Helaoui (PerCom, 2015)

Extended Report: Fine-grained Recognition of Abnormal Behaviors for Early Detection of Mild Cognitive Impairment. - Daniele Riboni; Claudio Bettini; Gabriele Civitarese; Zaffar Haider Janjua; Rim Helaoui (CoRR, 2015)

Towards automatic induction of abnormal behavioral patterns for recognizing mild cognitive impairment. - Zaffar Haider Janjua; Daniele Riboni; Claudio Bettini (SAC, 2016)

SmartFABER: Recognizing fine-grained abnormal behaviors for early detection of mild cognitive impairment. - Daniele Riboni; Claudio Bettini; Gabriele Civitarese; Zaffar Haider Janjua; Rim Helaoui (Artif. Intell. Medicine, 2016)

Sensor-based behavioral monitoring for early detection of cognitive decline. - Zaffar Haider Janjua (2016)

IRESE: An intelligent rare-event detection system using unsupervised learning on the IoT edge. - Zaffar Haider Janjua; Massimo Vecchio; Mattia Antonini; Fabio Antonelli (Eng. Appl. Artif. Intell., 2019)

Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices. - Mojtaba Eskandari; Zaffar Haider Janjua; Massimo Vecchio; Fabio Antonelli (IEEE Internet Things J., 2020)

Knowledge-driven feature engineering to detect multiple symptoms using ambulatory blood pressure monitoring data. - Zaffar Haider Janjua; David Kerins; Brendan O'Flynn; Salvatore Tedesco (Comput. Methods Programs Biomed., 2022)