Aziz Guergachi

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 19

Top Topics

Diabetes Mellitus

Empirical Mode Decomposition

Top Venues

Artif. Intell. Rev.

Publications

Federica Guida, Marta Lenatti, Karim Keshavjee, Alireza Khatami, Aziz Guergachi, Alessia Paglialonga
Characterization of Inclination Analysis for Predicting Onset of Heart Failure from Primary Care Electronic Medical Records. Sensors 23 (9) (2023)
Davide Simeone, Marta Lenatti, Constantino Lagoa, Karim Keshavjee, Aziz Guergachi, Fabrizio Dabbene, Alessia Paglialonga
Multi-Input Multi-Output Dynamic Modelling of Type 2 Diabetes Progression. EFMI-STC (2023)
Alessia Paglialonga, Rebecca Theal, Bruce Knox, Robert Kyba, David Barber, Aziz Guergachi, Karim Keshavjee
Applying Patient Segmentation Using Primary Care Electronic Medical Records to Develop a Virtual Peer-to-Peer Intervention for Patients with Type 2 Diabetes. Future Internet 15 (4) (2023)
Armin Darvishzadeh Sayadi, Karim Keshavjee, Helen Monkman, Aziz Guergachi, Alessia Paglialonga
Improving Shared Decision-Making Using Cognitive Effort-Optimization. MIE (2022)
Alessia Paglialonga, Rebecca Theal, David Barber, Robert Kyba, Aziz Guergachi, Karim Keshavjee
Behavioral Segmentation for Enhanced Peer-to-Peer Patient Education. MIE (2022)
Elham Golkhandan, Alessia Paglialonga, Aziz Guergachi, Marie-Thérèse Lussier, Claude Richard, Laurette Dube, Ian Zenlea, Robert Kyba, Manmohan Mittal, Warren "Smokey" Thomas, Karim Keshavjee
Design for a Virtual Peer-to-Peer Knowledge to Action Platform for Type 2 Diabetes. MIE (2022)
Marta Lenatti, Alberto Carlevaro, Karim Keshavjee, Aziz Guergachi, Alessia Paglialonga, Maurizio Mongelli
Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI. MIE (2022)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach. Frontiers Digit. Health 3 (2021)
Sajida Perveen, Muhammad Shahbaz, Tanzila Saba, Karim Keshavjee, Amjad Rehman, Aziz Guergachi
Handling Irregularly Sampled Longitudinal Data and Prognostic Modeling of Diabetes Using Machine Learning Technique. IEEE Access 8 (2020)
Sajida Perveen, Muhammad Shahbaz, Karim Keshavjee, Aziz Guergachi
Metabolic Syndrome and Development of Diabetes Mellitus: Predictive Modeling Based on Machine Learning Techniques. IEEE Access 7 (2019)
Fahreen Walimohamed, Monica Aggarwal, Linying Dong, Rory Lattimer, Zaki Hakim, David Goranson, Kiran Ubhi, Minhas Ali, Aviv Shachak, Aziz Guergachi, Karim Keshavjee
Design for a Canadian Digital Health Policy & Practices Observatory. ITCH (2019)
Zoish Daruwalla, Vidhi Thakkar, Monica Aggarwal, Anahita Kiasatdolatabadi, Aziz Guergachi, Karim Keshavjee
Patient Empowerment: The Role of Technology. ITCH (2019)
Muhammad Shahbaz, Shahzad Ali, Aziz Guergachi, Aneeta Niazi, Amina Umer
Classification of Alzheimer's Disease using Machine Learning Techniques. DATA (2019)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
Patient-specific seizure detection in long-term EEG using wavelet decomposition. Biomed. Signal Process. Control. 46 (2018)
Ishfaq Ali, Muhammad Asif, Muhammad Shahbaz, Adnan Khalid, Mariam Rehman, Aziz Guergachi
Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification. IEEE Access 6 (2018)
Karim Keshavjee, Douglas Morrison, Shams Mohammed, Aziz Guergachi
IT for Bending the Healthcare Cost Curve: The High Needs, High Cost Approach. ITCH (2017)
Wasif Altaf, Muhammad Shahbaz, Aziz Guergachi
Applications of association rule mining in health informatics: a survey. Artif. Intell. Rev. 47 (3) (2017)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
Hierarchical decomposition based on a variation of empirical mode decomposition. Signal Image Video Process. 11 (5) (2017)
Sidra Abid, Karim Keshavjee, Arsalan Karim, Aziz Guergachi
What We Can Learn from Amazon for Clinical Decision Support Systems. ITCH (2017)
Muhammad Shahbaz, Aziz Guergachi, Rana Tanzeel ur Rehman
Sentiment miner: A prototype for sentiment analysis of unstructured data and text. CCECE (2014)
Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan
Pathological speech signal analysis and classification using empirical mode decomposition. Medical Biol. Eng. Comput. 51 (7) (2013)
Muhammad Shaheen, Muhammad Shahbaz, Aziz Guergachi
Context Based Positive and Negative Spatio-Temporal Association Rule Mining. Knowl. Based Syst. 37 (2013)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition. EMBC (2013)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
A variation of empirical mode decomposition with intelligent peak selection in short time windows. ICASSP (2013)
Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan
Application of a variation of empirical mode decomposition and teager energy operator to EEG signals for mental task classification. EMBC (2013)
Muhammad Shaheen, Muhammad Shahbaz, Aziz Guergachi, Zahoor-Ur Rehman
Mining sustainability indicators to classify hydrocarbon development. Knowl. Based Syst. 24 (8) (2011)
M. F. Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan
Telephone-quality pathological speech classification using empirical mode decomposition. EMBC (2011)
Muhammad Shaheen, Muhammad Shahbaz, Zahoor-Ur Rehman, Aziz Guergachi
Data mining applications in hydrocarbon exploration. Artif. Intell. Rev. 35 (1) (2011)
Vikraman Baskaran, Aziz Guergachi, Rajeev K. Bali, Raouf N. Gorgui-Naguib
Predicting Breast Screening Attendance Using Machine Learning Techniques. IEEE Trans. Inf. Technol. Biomed. 15 (2) (2011)
Zahoor-Ur Rehman, Muhammad Shahbaz, Muhammad Shaheen, Aziz Guergachi
Situation-Awareness and Sensor Stream Mining for Sustainable Human Life. SoCPaR (2009)
Yashodhan Rajiv Athavale, Aziz Guergachi, Pouyan Hosseinizadeh, Sridhar Krishnan
Identifying the potential for Failure of Businesses in the Technology, Pharmaceutical and Banking Sectors using Kernel-based Machine Learning Methods. SMC (2009)
Pouyan Hosseinizadeh, Aziz Guergachi, Vanessa Magness
Predicting System Collapse: Two Theoretical Models. SMC (2009)
Aziz Guergachi, Pouyan Hosseinizadeh
Using heavy-tailed distributions to stress-test kernel methods for segregating the .rms that are likely to survive. SMC (2009)
Aziz Guergachi, Goran Boskovic
System models or learning machines? Appl. Math. Comput. 204 (2) (2008)
Vikraman Baskaran, Rajeev K. Bali, Hisbel Arochena, Raouf N. Gorgui-Naguib, Mohd Khanapi Abd Khanapi, Bharat Shah, Aziz Guergachi, C. Cyrne, Nilmini Wickramasinghe
Health Informatics: A UK and Canadian Perspective on Current and Future Challenges. AMCIS (2008)
Tahir Farooq, Aziz Guergachi, Sridhar Krishnan
Chaotic time series prediction using knowledge based Green's Kernel and least-squares support vector machines. SMC (2007)
Talieh Seyed Tabatabaei, Sridhar Krishnan, Aziz Guergachi
Emotion Recognition Using Novel Speech Signal Features. ISCAS (2007)
Talieh Seyed Tabatabaei, Tahir Farooq, Aziz Guergachi, Sridhar Krishnan
Support Vector Machines Based Approach for Chemical Phosphorus Removal Process in Wastewater Treatment Plant. CCECE (2006)
Aziz Guergachi
On the Conditions of the VC Theory for Statistical Learning Applied to the Evaluation of Models for Complex Systems. SMC (2005)
Aziz Guergachi
Connecting traditional sciences with the OLAP and data mining paradigms. Data Mining and Knowledge Discovery: Theory, Tools, and Technology (2003)