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ORCIDAziz Guergachi
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2020 – today
- 2024
[c26]Davide Console, Marta Lenatti
, Karim Keshavjee, Aziz Guergachi, Maurizio Mongelli, Alessia Paglialonga:
Exploring Prediabetes Pathways Using Explainable AI on Data from Electronic Medical Records. MIE 2024: 736-740- 2023
- [j15]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): 149 (2023) - [j14]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): 4228 (2023) - [c25]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: 228-232 - 2022
- [c24]Marta Lenatti, Alberto Carlevaro, Karim Keshavjee, Aziz Guergachi, Alessia Paglialonga, Maurizio Mongelli:
Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI. MIE 2022: 98-103 - [c23]Alessia Paglialonga, Rebecca Theal, David Barber, Robert Kyba, Aziz Guergachi, Karim Keshavjee:
Behavioral Segmentation for Enhanced Peer-to-Peer Patient Education. MIE 2022: 125-126 - [c22]Elham Golkhandan, Alessia Paglialonga, Aziz Guergachi, Marie-Thérèse Lussier, Claude Richard, Laurette Dubé, 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: 614-618 - [c21]Armin Darvishzadeh Sayadi, Karim Keshavjee, Helen Monkman, Aziz Guergachi, Alessia Paglialonga:
Improving Shared Decision-Making Using Cognitive Effort-Optimization. MIE 2022: 703-704 - 2021
- [j13]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: 738996 (2021) - 2020
- [j12]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: 21875-21885 (2020)
2010 – 2019
- 2019
- [j11]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: 1365-1375 (2019) - [c20]Muhammad Shahbaz, Shahzad Ali, Aziz Guergachi, Aneeta Niazi, Amina Umer:
Classification of Alzheimer's Disease using Machine Learning Techniques. DATA 2019: 296-303 - [c19]Zoish Daruwalla, Vidhi Thakkar, Monica Aggarwal, Anahita Kiasatdolatabadi, Aziz Guergachi, Karim Keshavjee:
Patient Empowerment: The Role of Technology. ITCH 2019: 70-74 - [c18]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: 444-448 - 2018
- [j10]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: 73928-73939 (2018) - [j9]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Patient-specific seizure detection in long-term EEG using wavelet decomposition. Biomed. Signal Process. Control. 46: 157-165 (2018) - 2017
- [j8]Wasif Altaf, Muhammad Shahbaz, Aziz Guergachi:
Applications of association rule mining in health informatics: a survey. Artif. Intell. Rev. 47(3): 313-340 (2017) - [j7]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
Hierarchical decomposition based on a variation of empirical mode decomposition. Signal Image Video Process. 11(5): 793-800 (2017) - [c17]Sidra Abid, Karim Keshavjee, Arsalan Karim, Aziz Guergachi:
What We Can Learn from Amazon for Clinical Decision Support Systems. ITCH 2017: 1-5 - [c16]Karim Keshavjee, Douglas Morrison, Shams Mohammed, Aziz Guergachi:
IT for Bending the Healthcare Cost Curve: The High Needs, High Cost Approach. ITCH 2017: 178-182 - 2014
- [c15]Muhammad Shahbaz, Aziz Guergachi, Rana Tanzeel ur Rehman:
Sentiment miner: A prototype for sentiment analysis of unstructured data and text. CCECE 2014: 1-7 - 2013
- [j6]Muhammad Shaheen, Muhammad Shahbaz, Aziz Guergachi:
Context Based Positive and Negative Spatio-Temporal Association Rule Mining. Knowl. Based Syst. 37: 261-273 (2013) - [j5]Muhammad Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan:
Pathological speech signal analysis and classification using empirical mode decomposition. Medical Biol. Eng. Comput. 51(7): 811-821 (2013) - [c14]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: 965-968 - [c13]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
EEG seizure detection and epilepsy diagnosis using a novel variation of Empirical Mode Decomposition. EMBC 2013: 4314-4317 - [c12]Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan:
A variation of empirical mode decomposition with intelligent peak selection in short time windows. ICASSP 2013: 5627-5631 - 2011
- [j4]Muhammad Shaheen, Muhammad Shahbaz, Zahoor-Ur Rehman, Aziz Guergachi:
Data mining applications in hydrocarbon exploration. Artif. Intell. Rev. 35(1): 1-18 (2011) - [j3]Muhammad Shaheen, Muhammad Shahbaz, Aziz Guergachi, Zahoor-Ur Rehman:
Mining sustainability indicators to classify hydrocarbon development. Knowl. Based Syst. 24(8): 1159-1168 (2011) - [j2]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): 251-259 (2011) - [c11]M. F. Kaleem, Behnaz Ghoraani, Aziz Guergachi, Sridhar Krishnan:
Telephone-quality pathological speech classification using empirical mode decomposition. EMBC 2011: 7095-7098
2000 – 2009
- 2009
- [c10]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: 1073-1077 - [c9]Pouyan Hosseinizadeh, Aziz Guergachi, Vanessa Magness:
Predicting System Collapse: Two Theoretical Models. SMC 2009: 1078-1083 - [c8]Aziz Guergachi, Pouyan Hosseinizadeh:
Using heavy-tailed distributions to stress-test kernel methods for segregating the .rms that are likely to survive. SMC 2009: 1464-1469 - [c7]Zahoor-Ur Rehman, Muhammad Shahbaz, Muhammad Shaheen, Aziz Guergachi:
Situation-Awareness and Sensor Stream Mining for Sustainable Human Life. SoCPaR 2009: 616-620 - 2008
- [j1]Aziz Guergachi, Goran Boskovic:
System models or learning machines? Appl. Math. Comput. 204(2): 553-567 (2008) - [c6]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: 111 - 2007
- [c5]Talieh Seyed Tabatabaei, Sridhar Krishnan, Aziz Guergachi:
Emotion Recognition Using Novel Speech Signal Features. ISCAS 2007: 345-348 - [c4]Tahir Farooq, Aziz Guergachi, Sridhar Krishnan:
Chaotic time series prediction using knowledge based Green's Kernel and least-squares support vector machines. SMC 2007: 373-378 - 2006
- [c3]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: 318-322 - 2005
- [c2]Aziz Guergachi:
On the Conditions of the VC Theory for Statistical Learning Applied to the Evaluation of Models for Complex Systems. SMC 2005: 1144-1149 - 2003
- [c1]Aziz Guergachi:
Connecting traditional sciences with the OLAP and data mining paradigms. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 226-234
Coauthor Index
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last updated on 2024-10-23 21:27 CEST by the dblp team
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