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ORCIDSamaneh Madanian
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- affiliation: Auckland University of Technology, New Zealand
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2020 – today
- 2024
[j7]Tserendorj Chinbat, Samaneh Madanian, David Airehrour, Farkhondeh Hassandoust:
Machine learning cryptography methods for IoT in healthcare. BMC Medical Informatics Decis. Mak. 24(1): 153 (2024)- [c24]Priyadarshini Natarajan
, Samaneh Madanian:
Detecting Brain activity in ADHD children and healthy controls using Machine Learning Techniques. ACSW 2024: 69-74 - [c23]Adebanji Adeleye, Samaneh Madanian, Olayinka Adeleye:
Emotion Variation Detection in Discrete English Speech: A Wavelet Transform Use Case in Mental Health Monitoring. ACSW 2024: 115-119 - [c22]Kenneth Johnson, Samaneh Madanian, Catia Trubiani:
Patterns of Applied Control for Public Health Measures on Transportation Services under Epidemic. SEAMS@ICSE 2024: 150-160 - 2023
- [j6]Samaneh Madanian, Talen Chen, Olayinka Adeleye, John Michael Templeton, Christian Poellabauer, Dave Parry, Sandra L. Schneider:
Speech emotion recognition using machine learning - A systematic review. Intell. Syst. Appl. 20: 200266 (2023) - [j5]Soe Ye Yint Tun, Samaneh Madanian:
Clinical information system (CIS) implementation in developing countries: requirements, success factors, and recommendations. J. Am. Medical Informatics Assoc. 30(4): 761-774 (2023) - [c21]Hamidreza Rasoulipanah, Samaneh Madanian, Jian Yu:
Integration of AI and Big Data Analysis with Public Health Systems for Infectious Disease Outbreak Detection. ACIS 2023 - [c20]Upeka De Silva, Samaneh Madanian, John Michael Templeton, Christian Poellabauer, Sandy Schneider, Ajit Narayanan:
Design Concept of a Mental Health Monitoring Application with Explainable Assessments. ACIS 2023 - [c19]Yuqi Zhang, Jian Yu, Ji Ruan, Nancy Wang, Sam Madanian, Guiling Wang:
Motif-based Graph Attention Network for Web Service Recommendation. ACSW 2023: 143-146 - [c18]Samaneh Madanian, Hamidreza Rasoulipanah, Jian Yu:
Stress Detection on Social Network: Public Mental Health Surveillance: Public mental health surveillance. ACSW 2023: 170-175 - [c17]Li Xiao, Samaneh Madanian, Weihua Li, Yuchun Xiao:
Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches. AusDM 2023: 226-238 - [c16]Mohammad Nazayer, Samaneh Madanian, Hamidreza Rasoulipanah, Dave Parry:
Public Health Emergencies: Health Data and Public Health Surveillance. ICDH 2023: 295-297 - [c15]Hamidreza Rasouli Panah, Abtin Ijadi Maghsoodi, Samaneh Madanian, Jian Yu, Kenneth Johnson:
A Novel Proof of Concept Forecasting Model for Pandemics - A Case Study in New Zealand. ITDRR 2023: 253-268 - [c14]Upeka De Silva, Sam Madanian, John Michael Templeton, Christian Poellabauer, Sandra L. Schneider, Dave Parry:
Mental Health Monitoring: Design Concept of a Smartphone Application. MedInfo 2023: 1544-1545 - [c13]Mohammad Nazayer, Samaneh Madanian, Hamidreza Rasoulipanah, Dave Parry:
Pandemic Management: Health Data and Public Health Surveillance. MedInfo 2023: 1550-1551 - 2022
- [j4]Talen Chen, Samaneh Madanian, David Airehrour, Marianne Cherrington:
Machine learning methods for hospital readmission prediction: systematic analysis of literature. J. Reliab. Intell. Environ. 8(1): 49-66 (2022) - [j3]Okeke Stephen, Samaneh Madanian, Minh Nguyen:
A Hard Voting Policy-Driven Deep Learning Architectural Ensemble Strategy for Industrial Products Defect Recognition and Classification. Sensors 22(20): 7846 (2022) - [j2]Okeke Stephen, Samaneh Madanian, Minh Nguyen:
A Robust Deep Learning Ensemble-Driven Model for Defect and Non-Defect Recognition and Classification Using a Weighted Averaging Sequence-Based Meta-Learning Ensembler. Sensors 22(24): 9971 (2022) - [c12]Okeke Stephen, Samaneh Madanian, Minh Nguyen:
An Intrinsic Human Physical Activity Recognition from Fused Motion Sensor Data using Bidirectional Gated Recurrent Neural Network in Healthcare. ICSBT 2022: 26-32 - [c11]Samaneh Madanian, David Parry, Olayinka Adeleye, Christian Poellabauer, Farhaan Mirza, Shilpa Mathew, Sandy Schneider:
Automatic Speech Emotion Recognition Using Machine Learning: Digital Transformation of Mental Health. PACIS 2022: 45 - 2021
- [c10]Kenneth Johnson, Javier Cámara, Roopak Sinha, Samaneh Madanian, Dave Parry:
Towards Self-Adaptive Disaster Management Systems. ISCRAM 2021: 49-61 - [c9]Samaneh Madanian, Maduka Subasinghage, Shingai Conrad Tachiona:
Critical Success Factors of Agile ERP Development and Implementation Projects: A Systematic Literature Review. PACIS 2021: 211 - [i1]Kenneth Johnson, Samaneh Madanian, Roopak Sinha:
Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions. CoRR abs/2112.12046 (2021) - 2020
- [c8]Suhaib Ahmed, Samaneh Madanian, Farhaan Mirza, Selim Zain:
Prediction of Natural Gas Consumption in Bahçeşehir Using Machine Learning Models. ACIS 2020: 12 - [c7]Kenneth Johnson, Samaneh Madanian, Roopak Sinha:
Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions. SEAA 2020: 521-528
2010 – 2019
- 2019
- [c6]Marianne Cherrington, David Airehrour, Joan Lu, Qiang Xu, Stephen J. Wade, Samaneh Madanian:
Feature Selection Methods for Linked Data: Limitations, Capabilities and Potentials. BDCAT 2019: 103-112 - [c5]Marianne Cherrington, Joan Lu, David Airehrour, Fadi A. Thabtah, Qiang Xu, Samaneh Madanian:
Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials. ITNAC 2019: 1-6 - [c4]Samaneh Madanian, Dave Parry:
IoT, Cloud Computing and Big Data: Integrated Framework for Healthcare in Disasters. MedInfo 2019: 998-1002 - 2018
- [j1]David Airehrour, Nisha Vasudevan Nair, Samaneh Madanian:
Social Engineering Attacks and Countermeasures in the New Zealand Banking System: Advancing a User-Reflective Mitigation Model. Inf. 9(5): 110 (2018) - 2016
- [c3]David Parry, Samaneh Madanian, Tony Norris:
Disaster EHealth-Sustainability in the Extreme. DASC/PiCom/DataCom/CyberSciTech 2016: 943-946 - 2015
- [c2]Anthony C. Norris, Santiago Martinez, Leire Labaka, Samaneh Madanian, Jose J. Gonzalez, Dave Parry:
Disaster E-Health: A New Paradigm for Collaborative Healthcare in Disasters. ISCRAM 2015 - [c1]Samaneh Madanian, David Parry, Tony Norris:
Healthcare in Disasters and the Role of RFID. MedInfo 2015: 1008
Coauthor Index
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last updated on 2024-08-05 21:13 CEST by the dblp team
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