Connecting traditional sciences with the OLAP and data mining paradigms. - Aziz Guergachi (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2003)

On the Conditions of the VC Theory for Statistical Learning Applied to the Evaluation of Models for Complex Systems. - Aziz Guergachi (SMC, 2005)

Support Vector Machines Based Approach for Chemical Phosphorus Removal Process in Wastewater Treatment Plant. - Talieh Seyed Tabatabaei; Tahir Farooq; Aziz Guergachi; Sridhar Krishnan 001 (CCECE, 2006)

Emotion Recognition Using Novel Speech Signal Features. - Talieh Seyed Tabatabaei; Sridhar Krishnan 001; Aziz Guergachi (ISCAS, 2007)

Chaotic time series prediction using knowledge based Green's Kernel and least-squares support vector machines. - Tahir Farooq; Aziz Guergachi; Sridhar Krishnan 001 (SMC, 2007)

Health Informatics: A UK and Canadian Perspective on Current and Future Challenges. - Vikraman Baskaran; Rajeev K. Bali; Hisbel Arochena; Raouf N. Gorgui-Naguib; Mohd Khanapi Abd Khanapi; Bharat Shah; Aziz Guergachi; C. Cyrne; Nilmini Wickramasinghe (AMCIS, 2008)

System models or learning machines? - Aziz Guergachi; Goran Boskovic (Appl. Math. Comput., 2008)

Identifying the potential for Failure of Businesses in the Technology, Pharmaceutical and Banking Sectors using Kernel-based Machine Learning Methods. - Yashodhan Rajiv Athavale; Aziz Guergachi; Pouyan Hosseinizadeh; Sridhar Krishnan 001 (SMC, 2009)

Using heavy-tailed distributions to stress-test kernel methods for segregating the .rms that are likely to survive. - Aziz Guergachi; Pouyan Hosseinizadeh (SMC, 2009)

Predicting System Collapse: Two Theoretical Models. - Pouyan Hosseinizadeh; Aziz Guergachi; Vanessa Magness (SMC, 2009)

Situation-Awareness and Sensor Stream Mining for Sustainable Human Life. - Zahoor-Ur Rehman; Muhammad Shahbaz 002; Muhammad Shaheen; Aziz Guergachi (SoCPaR, 2009)

Telephone-quality pathological speech classification using empirical mode decomposition. - M. F. Kaleem; Behnaz Ghoraani; Aziz Guergachi; Sridhar Krishnan 001 (EMBC, 2011)

Data mining applications in hydrocarbon exploration. - Muhammad Shaheen; Muhammad Shahbaz 002; Zahoor-Ur Rehman; Aziz Guergachi (Artif. Intell. Rev., 2011)

Mining sustainability indicators to classify hydrocarbon development. - Muhammad Shaheen; Muhammad Shahbaz 002; Aziz Guergachi; Zahoor-Ur Rehman (Knowl. Based Syst., 2011)

Predicting Breast Screening Attendance Using Machine Learning Techniques. - Vikraman Baskaran; Aziz Guergachi; Rajeev K. Bali; Raouf N. Gorgui-Naguib (IEEE Trans. Inf. Technol. Biomed., 2011)

Application of a variation of empirical mode decomposition and teager energy operator to EEG signals for mental task classification. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (EMBC, 2013)

EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (EMBC, 2013)

A variation of empirical mode decomposition with intelligent peak selection in short time windows. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (ICASSP, 2013)

Context Based Positive and Negative Spatio-Temporal Association Rule Mining. - Muhammad Shaheen; Muhammad Shahbaz 002; Aziz Guergachi (Knowl. Based Syst., 2013)

Pathological speech signal analysis and classification using empirical mode decomposition. - Muhammad Kaleem; Behnaz Ghoraani; Aziz Guergachi; Sridhar Krishnan 001 (Medical Biol. Eng. Comput., 2013)

Sentiment miner: A prototype for sentiment analysis of unstructured data and text. - Muhammad Shahbaz 002; Aziz Guergachi; Rana Tanzeel ur Rehman (CCECE, 2014)

What We Can Learn from Amazon for Clinical Decision Support Systems. - Sidra Abid; Karim Keshavjee; Arsalan Karim; Aziz Guergachi (ITCH, 2017)

IT for Bending the Healthcare Cost Curve: The High Needs, High Cost Approach. - Karim Keshavjee; Douglas Morrison; Shams Mohammed; Aziz Guergachi (ITCH, 2017)

Applications of association rule mining in health informatics: a survey. - Wasif Altaf; Muhammad Shahbaz 002; Aziz Guergachi (Artif. Intell. Rev., 2017)

Hierarchical decomposition based on a variation of empirical mode decomposition. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (Signal Image Video Process., 2017)

Text Categorization Approach for Secure Design Pattern Selection Using Software Requirement Specification. - Ishfaq Ali; Muhammad Asif 002; Muhammad Shahbaz 002; Adnan Khalid; Mariam Rehman; Aziz Guergachi (IEEE Access, 2018)

Patient-specific seizure detection in long-term EEG using wavelet decomposition. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (Biomed. Signal Process. Control., 2018)

Classification of Alzheimer's Disease using Machine Learning Techniques. - Muhammad Shahbaz 002; Shahzad Ali; Aziz Guergachi; Aneeta Niazi; Amina Umer (DATA, 2019)

Patient Empowerment: The Role of Technology. - Zoish Daruwalla; Vidhi Thakkar; Monica Aggarwal; Anahita Kiasatdolatabadi; Aziz Guergachi; Karim Keshavjee (ITCH, 2019)

Design for a Canadian Digital Health Policy & Practices Observatory. - Fahreen Walimohamed; Monica Aggarwal; Linying Dong; Rory Lattimer; Zaki Hakim; David Goranson; Kiran Ubhi; Minhas Ali; Aviv Shachak; Aziz Guergachi; Karim Keshavjee (ITCH, 2019)

Metabolic Syndrome and Development of Diabetes Mellitus: Predictive Modeling Based on Machine Learning Techniques. - Sajida Perveen; Muhammad Shahbaz 002; Karim Keshavjee; Aziz Guergachi (IEEE Access, 2019)

Handling Irregularly Sampled Longitudinal Data and Prognostic Modeling of Diabetes Using Machine Learning Technique. - Sajida Perveen; Muhammad Shahbaz 002; Tanzila Saba; Karim Keshavjee; Amjad Rehman; Aziz Guergachi (IEEE Access, 2020)

Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach. - Muhammad Kaleem; Aziz Guergachi; Sridhar Krishnan 001 (Frontiers Digit. Health, 2021)

Design for a Virtual Peer-to-Peer Knowledge to Action Platform for Type 2 Diabetes. - Elham Golkhandan; Alessia Paglialonga; Aziz Guergachi; Marie-Thérèse Lussier; Claude Richard; Laurette Dubé; Ian Zenlea; Robert Kyba; Manmohan Mittal; Warren "Smokey" Thomas; Karim Keshavjee (MIE, 2022)

Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI. - Marta Lenatti; Alberto Carlevaro; Karim Keshavjee; Aziz Guergachi; Alessia Paglialonga; Maurizio Mongelli (MIE, 2022)

Behavioral Segmentation for Enhanced Peer-to-Peer Patient Education. - Alessia Paglialonga; Rebecca Theal; David Barber; Robert Kyba; Aziz Guergachi; Karim Keshavjee (MIE, 2022)

Improving Shared Decision-Making Using Cognitive Effort-Optimization. - Armin Darvishzadeh Sayadi; Karim Keshavjee; Helen Monkman; Aziz Guergachi; Alessia Paglialonga (MIE, 2022)

Multi-Input Multi-Output Dynamic Modelling of Type 2 Diabetes Progression. - Davide Simeone; Marta Lenatti; Constantino Lagoa; Karim Keshavjee; Aziz Guergachi; Fabrizio Dabbene; Alessia Paglialonga (EFMI-STC, 2023)

Characterization of Inclination Analysis for Predicting Onset of Heart Failure from Primary Care Electronic Medical Records. - Federica Guida; Marta Lenatti; Karim Keshavjee; Alireza Khatami; Aziz Guergachi; Alessia Paglialonga (Sensors, 2023)

Applying Patient Segmentation Using Primary Care Electronic Medical Records to Develop a Virtual Peer-to-Peer Intervention for Patients with Type 2 Diabetes. - Alessia Paglialonga; Rebecca Theal; Bruce Knox; Robert Kyba; David Barber; Aziz Guergachi; Karim Keshavjee (Future Internet, 2023)

Predicting Diabetes in Canadian Adults Using Machine Learning. - Kayla Esser; Monica Duong; Khalil Kain; Son Tran; Aryan Sadeghi; Aziz Guergachi; Karim Keshavjee; Mohammad Noaeen; Zahra Shakeri (EMBC, 2024)

Identifying Prediabetes in Canadian Populations Using Machine Learning. - Katherine Lu; Paijani Sheth; Zhi Lin Zhou; Kamyar Kazari; Aziz Guergachi; Karim Keshavjee; Mohammad Noaeen; Zahra Shakeri (EMBC, 2024)

Predicting Time to Diabetes Diagnosis Using Random Survival Forests. - Priyonto Saha; Yacine Marouf; Hunter Pozzebon; Aziz Guergachi; Karim Keshavjee; Mohammad Noaeen; Zahra Shakeri (EMBC, 2024)

Exploring Prediabetes Pathways Using Explainable AI on Data from Electronic Medical Records. - Davide Console; Marta Lenatti; Karim Keshavjee; Aziz Guergachi; Maurizio Mongelli; Alessia Paglialonga (MIE, 2024)