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2020 – today
- 2025
- [j12]Ahmed A. Harby, Farhana H. Zulkernine:
Data Lakehouse: A survey and experimental study. Inf. Syst. 127: 102460 (2025) - 2024
- [c72]Ahmed A. Harby, Eyad ElKhodary, Ronan Almeida, Drishti Sharma, Farhana H. Zulkernine, Furkan Alaca, Khalid Elgazzar, Amina Al-Marzouqi, Nabeel Al-Yateem, Syed Azizur Rahman:
Revolutionizing Healthcare Management: Architecture of a Web-based Medical Triage Service. COMPSAC 2024: 1887-1894 - [c71]Yuhao Chen, Jiahao Cai, Siyu Chen, Farhana H. Zulkernine, Nauman Jaffar, Amina Al-Marzouqi, Nabeel Al-Yateem, Syed Azizur Rahman:
Assist-Bot: A Voice-Enabled Assistant for Seniors. COMPSAC 2024: 1901-1906 - [c70]Ian Pépin, Furkan Alaca, Farhana H. Zulkernine:
Privacy-Preserving Multi-Party Keyword-Based Classification of Unstructured Text Data. DCOSS-IoT 2024: 203-210 - [i20]Yuhao Chen, Zhimu Wang, Bo Wen, Farhana H. Zulkernine:
Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data. CoRR abs/2405.16295 (2024) - [i19]Bo Wen, Raquel Norel, Julia Liu, Thaddeus Stappenbeck, Farhana H. Zulkernine, Huamin Chen:
Leveraging Large Language Models for Patient Engagement: The Power of Conversational AI in Digital Health. CoRR abs/2406.13659 (2024) - [i18]Elyas Rashno, Amir Eskandari, Aman Anand, Farhana H. Zulkernine:
Survey: Transformer-based Models in Data Modality Conversion. CoRR abs/2408.04723 (2024) - 2023
- [j11]Nur Zincir-Heywood, Robert Birke, Elias Bou-Harb, Giuliano Casale, Khalil El-Khatib, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal, Abdallah Shami, Natalia Stakhanova, Farhana H. Zulkernine:
Guest Editorial: Special Section on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part II. IEEE Trans. Netw. Serv. Manag. 20(2): 882-889 (2023) - [c69]Mohammed Gasmallah, François Rivest, Farhana H. Zulkernine, Mélanie Breton:
Quantifying Path Smoothness in Video Object Tracking by Detection. Canadian AI 2023 - [c68]Ruikang Luo, François Rivest, Farhana H. Zulkernine:
I3D Light - A Simple Motion Information Stream for I3D. Canadian AI 2023 - [c67]Martin Woo, Farhana H. Zulkernine, Hanady M. Abdulsalam:
Examining Feasibility and Efficacy of Traditional Stream Clustering Algorithms on Complex Human Activity Recognition Data. COMPSAC 2023: 298-303 - [c66]Ahmed A. Harby, Farhana H. Zulkernine:
A Comparative Analysis of Graph Neural Networks for Fake News Detection. COMPSAC 2023: 1215-1222 - [c65]Elyas Rashno, Farhana H. Zulkernine:
Efficient Video Captioning with Frame Similarity-Based Filtering. DEXA (2) 2023: 98-112 - [c64]Yuhao Chen, Boqun Shu, Mojtaba Moattari, Farhana H. Zulkernine, John A. Queenan, David Barber:
SPaDe: A Synonym-based Pain-level Detection Tool for Osteoarthritis. ICDH 2023: 118-120 - [c63]Zili Luo, Farhana H. Zulkernine:
An Intelligent Email Classification System. SSCI 2023: 1126-1131 - [c62]Elyas Rashno, Mahdieh Safarzadehvahed, Farhana H. Zulkernine, Sidney Givigi:
Image Caption Generation Based on Image-Text Matching Schema in Deep Reinforcement Learning. SSCI 2023: 1139-1144 - [c61]Nafiz Sadman, Kazi Amit Hasan, Elyas Rashno, Furkan Alaca, Yuan Tian, Farhana H. Zulkernine:
Vulnerability of Open-Source Face Recognition Systems to Blackbox Attacks: A Case Study with InsightFace. SSCI 2023: 1164-1169 - [c60]Donghao Qiao, Farhana H. Zulkernine:
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds. WACV 2023: 1186-1195 - [e3]Amílcar Soares, Farhana H. Zulkernine, Renata Dividino, Reihaneh Rabbany, Qiang Ye, David Beach, Karim Ali:
36th Canadian Conference on Artificial Intelligence, Canadian AI, CANAI 2023, Montreal, Canada, June 5-9, 2023, Proceedings. Canadian Artificial Intelligence Association 2023 [contents] - [i17]Sazia Mahfuz, Farhana H. Zulkernine:
A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data. CoRR abs/2302.12972 (2023) - [i16]Donghao Qiao, Farhana H. Zulkernine:
CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion. CoRR abs/2310.06008 (2023) - 2022
- [j10]Donghao Qiao, Amtul Haq Ayesha, Farhana H. Zulkernine, Nauman Jaffar, Raihan Masroor:
ReViSe: Remote Vital Signs Measurement Using Smartphone Camera. IEEE Access 10: 131656-131670 (2022) - [j9]Hasan Zafari, Sarah Langlois, Farhana H. Zulkernine, Leanne Kosowan, Alexander Singer:
AI in predicting COPD in the Canadian population. Biosyst. 211: 104585 (2022) - [j8]Karen E. Batch, Jianwei Yue, Alex Darcovich, Kaelan Lupton, Corinne C. Liu, David P. Woodlock, Mohammad Ali K. El Amine, Pamela I. Causa-Andrieu, Lior Gazit, Gary H. Nguyen, Farhana H. Zulkernine, Richard K. G. Do, Amber L. Simpson:
Developing a Cancer Digital Twin: Supervised Metastases Detection From Consecutive Structured Radiology Reports. Frontiers Artif. Intell. 5: 826402 (2022) - [j7]Nur Zincir-Heywood, Robert Birke, Elias Bou-Harb, Giuliano Casale, Khalil El-Khatib, Takeru Inoue, Neeraj Kumar, Hanan Lutfiyya, Deepak Puthal, Abdallah Shami, Natalia Stakhanova, Farhana H. Zulkernine:
Guest Editorial: Special Issue on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services - Part I. IEEE Trans. Netw. Serv. Manag. 19(4): 3988-3994 (2022) - [c59]Ahmed A. Harby, Farhana H. Zulkernine:
From Data Warehouse to Lakehouse: A Comparative Review. IEEE Big Data 2022: 389-395 - [c58]Hasan Zafari, Jie Li, Farhana H. Zulkernine, Leanne Kosowan, Alexander Singer:
Predictive Modeling of Diabetes using EMR Data. HEALTHINF 2022: 211-218 - [c57]Ian Pépin, Farhana H. Zulkernine:
A Comparative Study of De-identification Tools to Apply to Free-Text Clinical Notes. CASCON 2022: 181-186 - [c56]Amtul Haq Ayesha, Donghao Qiao, Farhana H. Zulkernine:
A Web Application for Experimenting and Validating Remote Measurement of Vital Signs. iiWAS 2022: 237-251 - [e2]Sheikh Iqbal Ahamed, Claudio Agostino Ardagna, Hongyi Bian, Mario A. Bochicchio, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Lin Liu, Misha Pavel, Corrado Priami, Hossain Shahriar, Robert Ward, Fatos Xhafa, Jia Zhang, Farhana H. Zulkernine:
IEEE International Conference on Digital Health, ICDH 2022, Barcelona, Spain, July 10-16, 2022. IEEE 2022, ISBN 978-1-6654-8149-6 [contents] - [i15]Donghao Qiao, Amtul Haq Ayesha, Farhana H. Zulkernine, Raihan Masroor, Nauman Jaffar:
ReViSe: Remote Vital Signs Measurement Using Smartphone Camera. CoRR abs/2206.08748 (2022) - [i14]Donghao Qiao, Farhana H. Zulkernine:
Adaptive Feature Fusion for Cooperative Perception using LiDAR Point Clouds. CoRR abs/2208.00116 (2022) - [i13]Amtul Haq Ayesha, Donghao Qiao, Farhana H. Zulkernine:
A Web Application for Experimenting and Validating Remote Measurement of Vital Signs. CoRR abs/2208.09916 (2022) - [i12]Mojtaba Moattari, Sahar Vahdati, Farhana H. Zulkernine:
ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion. CoRR abs/2209.02390 (2022) - 2021
- [j6]Brendan Kolisnik, Isaac Hogan, Farhana H. Zulkernine:
Condition-CNN: A hierarchical multi-label fashion image classification model. Expert Syst. Appl. 182: 115195 (2021) - [c55]Hasan Zafari, Farhana H. Zulkernine:
Chatsum: An Intelligent Medical Chat Summarization Tool. BHI 2021: 1-2 - [c54]Amtul Haq Ayesha, Donghao Qiao, Farhana H. Zulkernine:
Heart Rate Monitoring Using PPG With Smartphone Camera. BIBM 2021: 2985-2991 - [c53]Zhiwei Fu, Xinran Gu, Jia Fu, Mojtaba Moattari, Farhana H. Zulkernine:
Predicting the Length of Stay of Patients in Hospitals. BIBM 2021: 3150-3156 - [c52]Yuhao Chen, Farhana H. Zulkernine:
BIRD-QA: A BERT-based Information Retrieval Approach to Domain Specific Question Answering. IEEE BigData 2021: 3503-3510 - [c51]Donghao Qiao, Farhana H. Zulkernine:
Drivable Area Detection Using Deep Learning Models for Autonomous Driving. IEEE BigData 2021: 5233-5238 - [c50]Tariq Abughofa, Ahmed A. Harby, Haruna Isah, Farhana H. Zulkernine:
Incremental Community Detection in Distributed Dynamic Graph. BigDataService 2021: 50-59 - [c49]Isaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, Austin Carthy, Farhana H. Zulkernine, François Rivest, Mélanie Breton:
FireWarn: Fire Hazards Detection Using Deep Learning Models. CogMI 2021: 1-10 - [c48]Jason T. Lam, Yuhao Chen, Farhana H. Zulkernine, Samuel Dahan:
Detection of Similar Legal Cases on Personal Injury. ICDM (Workshops) 2021: 639-646 - [c47]Donghao Qiao, Farhana H. Zulkernine, Raihan Masroor, Roshaan Rasool, Nauman Jaffar:
Measuring Heart Rate and Heart Rate Variability with Smartphone Camera. MDM 2021: 248-249 - [e1]Vio Onut, Farhana H. Zulkernine:
CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22 - 25, 2021. ACM 2021 [contents] - [i11]Tariq Abughofa, Ahmed A. Harby, Haruna Isah, Farhana H. Zulkernine:
Incremental Community Detection in Distributed Dynamic Graph. CoRR abs/2110.06311 (2021) - 2020
- [c46]Donghao Qiao, Farhana H. Zulkernine:
Dilated Squeeze-and-Excitation U-Net for Fetal Ultrasound Image Segmentation. CIBCB 2020: 1-7 - [c45]Hasan Zafari, Sarah Langlois, Farhana H. Zulkernine, Leanne Kosowan, Alexander Singer:
Predicting Chronic Obstructive Pulmonary Disease from EMR data. CIBCB 2020: 1-8 - [c44]David Nam, Jerin Yasmin, Farhana H. Zulkernine:
Effects of Pre-trained Word Embeddings on Text-based Deception Detection. DASC/PiCom/CBDCom/CyberSciTech 2020: 437-443 - [c43]Yifei Yin, Farhana H. Zulkernine, Samuel Dahan:
Determining Worker Type from Legal Text Data using Machine Learning. DASC/PiCom/CBDCom/CyberSciTech 2020: 444-450 - [c42]Priyanka Trivedi, Farhana H. Zulkernine:
Componentry Analysis of Intelligent Transportation Systems in Smart Cities towards a Connected Future. HPCC/DSS/SmartCity 2020: 1073-1079 - [c41]Amany A. Kandeel, Mina Rahmanian, Farhana H. Zulkernine, Hazem M. Abbas, Hossam S. Hassanein:
Facial Expression Recognition Using a Simplified Convolutional Neural Network Model. ICCSPA 2020: 1-6 - [c40]Priyanka Trivedi, Farhana H. Zulkernine:
Intelligent Transportation System: Managing Pandemic Induced Threats to the People and Economy. iSCI 2020: 60-67 - [c39]Jason T. Lam, David Liang, Samuel Dahan, Farhana H. Zulkernine:
The Gap between Deep Learning and Law: Predicting Employment Notice. NLLP@KDD 2020: 52-56 - [c38]Donghao Qiao, Farhana H. Zulkernine:
Vision-based Vehicle Detection and Distance Estimation. SSCI 2020: 2836-2842 - [i10]Kennedy Ralston, Yuhao Chen, Haruna Isah, Farhana H. Zulkernine:
A Voice Interactive Multilingual Student Support System using IBM Watson. CoRR abs/2001.00471 (2020) - [i9]Chantal Montgomery, Haruna Isah, Farhana H. Zulkernine:
Towards a Natural Language Query Processing System. CoRR abs/2009.12414 (2020) - [i8]Ruoran Liu, Haruna Isah, Farhana H. Zulkernine:
A Big Data Lake for Multilevel Streaming Analytics. CoRR abs/2009.12415 (2020)
2010 – 2019
- 2019
- [j5]Haruna Isah, Tariq Abughofa, Sazia Mahfuz, Dharmitha Ajerla, Farhana H. Zulkernine, Shahzad Khan:
A Survey of Distributed Data Stream Processing Frameworks. IEEE Access 7: 154300-154316 (2019) - [j4]Dharmitha Ajerla, Sazia Mahfuz, Farhana H. Zulkernine:
A Real-Time Patient Monitoring Framework for Fall Detection. Wirel. Commun. Mob. Comput. 2019: 9507938:1-9507938:13 (2019) - [c37]Mohammed Gasmallah, Farhana H. Zulkernine, François Rivest, Parvin Mousavi, Alireza Sedghi:
Fully End-To-End Super-Resolved Bone Age Estimation. Canadian AI 2019: 498-504 - [c36]Hongkai Chen, Sazia Mahfuz, Farhana H. Zulkernine:
Smart Phone Based Human Activity Recognition. BIBM 2019: 2525-2532 - [c35]Farhana H. Zulkernine, Haruna Isah, Sazia Mahfuz, Mohammed Gasmallah, Jason T. Lam, Shahzad Khan:
A hands-on tutorial on deep learning for object and pattern recognition. CASCON 2019: 386-387 - [c34]Shihao Ge, Haruna Isah, Farhana H. Zulkernine, Shahzad Khan:
A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning. COMPSAC (2) 2019: 189-194 - [c33]Morgan Gallant, Haruna Isah, Farhana H. Zulkernine, Shahzad Khan:
Xu: An Automated Query Expansion and Optimization Tool. COMPSAC (1) 2019: 443-452 - [c32]Kennedy Ralston, Yuhao Chen, Haruna Isah, Farhana H. Zulkernine:
A Voice Interactive Multilingual Student Support System using IBM Watson. ICMLA 2019: 1924-1929 - [c31]Emily Kaczmarek, Alexander Salgo, Hasan Zafari, Leanne Kosowan, Alexander Singer, Farhana H. Zulkernine:
Diagnosing PTSD using electronic medical records from canadian primary care data. NSysS 2019: 23-29 - [c30]Alex Wojaczek, Regina-Veronicka Kalaydina, Mohammed Gasmallah, Myron R. Szewczuk, Farhana H. Zulkernine:
Computer Vision for Detecting and Measuring Multicellular Tumor Shperoids of Prostate Cancer. SSCI 2019: 563-569 - [i7]Shihao Ge, Haruna Isah, Farhana H. Zulkernine, Shahzad Khan:
A Scalable Framework for Multilevel Streaming Data Analytics using Deep Learning. CoRR abs/1907.06690 (2019) - 2018
- [c29]Haruna Isah, Farhana H. Zulkernine:
A Scalable and Robust Framework for Data Stream Ingestion. IEEE BigData 2018: 2900-2905 - [c28]Dev Shah, Wesley Campbell, Farhana H. Zulkernine:
A Comparative Study of LSTM and DNN for Stock Market Forecasting. IEEE BigData 2018: 4148-4155 - [c27]Dev Shah, Haruna Isah, Farhana H. Zulkernine:
Predicting the Effects of News Sentiments on the Stock Market. IEEE BigData 2018: 4705-4708 - [c26]Farhana H. Zulkernine, Haruna Isah, Sidney Givigi, Yan Liu, Edward Shim, Marwa Elsayed:
Large-scale multilevel streaming data analytics. CASCON 2018: 397-400 - [c25]Tariq Abughofa, Farhana H. Zulkernine:
Sprouter: Dynamic Graph Processing over Data Streams at Scale. DEXA (2) 2018: 321-328 - [c24]Michael Judd, Farhana H. Zulkernine, Brent Wolfrom, David Barber, Akshay Rajaram:
Detecting Low Back Pain from Clinical Narratives Using Machine Learning Approaches. DEXA Workshops 2018: 126-137 - [i6]Morgan Gallant, Haruna Isah, Farhana H. Zulkernine:
Automated Query Expansion using High Dimensional Clustering. CoRR abs/1808.09353 (2018) - [i5]Tiffany Leung, Farhana H. Zulkernine, Haruna Isah:
The use of Virtual Reality in Enhancing Interdisciplinary Research and Education. CoRR abs/1809.08585 (2018) - [i4]Sazia Mahfuz, Haruna Isah, Farhana H. Zulkernine, Peter Nicholls:
Detecting Irregular Patterns in IoT Streaming Data for Fall Detection. CoRR abs/1811.06672 (2018) - [i3]Mandeep Singh Kandhari, Farhana H. Zulkernine, Haruna Isah:
A Voice Controlled E-Commerce Web Application. CoRR abs/1811.09688 (2018) - [i2]Haruna Isah, Farhana H. Zulkernine:
A Scalable and Robust Framework for Data Stream Ingestion. CoRR abs/1812.04197 (2018) - [i1]Dev Shah, Haruna Isah, Farhana H. Zulkernine:
Predicting the Effects of News Sentiments on the Stock Market. CoRR abs/1812.04199 (2018) - 2017
- [c23]Hadeel Alghamdi, Farhana H. Zulkernine, Patrick Martin:
Leveraging distributed big data storage support in CLAaaS for WINGS workflow management system. IEEE BigData 2017: 2426-2432 - [c22]Tariq Abughofa, Farhana H. Zulkernine:
Towards online graph processing with spark streaming. IEEE BigData 2017: 2787-2794 - [c21]Jonathan Creighton, Farhana H. Zulkernine:
Towards building a hybrid model for predicting stock indexes. IEEE BigData 2017: 4128-4133 - [c20]Alexandra Poole, Farhana H. Zulkernine, Catherine Aylward:
Lexa: A tool for detecting dyslexia through auditory processing. SSCI 2017: 1-5 - [c19]Matthew Sherar, Farhana H. Zulkernine:
Particle swarm optimization for large-scale clustering on apache spark. SSCI 2017: 1-8 - 2016
- [c18]Azadeh Eftekhari, Farhana H. Zulkernine, Patrick Martin:
BINARY: A framework for big data integration for ad-hoc querying. IEEE BigData 2016: 2746-2753 - [c17]Arwin Chan, Farhana H. Zulkernine:
ArchiGen: a conceptual form design tool using an evolutionary computing approach. CASCON 2016: 50-55 - [c16]Tarek M. Ahmed, Farhana H. Zulkernine, James R. Cordy:
Proactive auto-scaling of resources for stream processing engines in the cloud. CASCON 2016: 226-231 - [c15]Travis Ginmu Rhee, Farhana H. Zulkernine:
Predicting Movie Box Office Profitability: A Neural Network Approach. ICMLA 2016: 665-670 - [c14]Daniel Lafrenière, Farhana H. Zulkernine, David Barber, Ken Martin:
Using machine learning to predict hypertension from a clinical dataset. SSCI 2016: 1-7 - 2015
- [j3]Rizwan Mian, Patrick Martin, Farhana H. Zulkernine, José Luis Vázquez-Poletti:
Cost-Effective Resource Configurations for Multi-Tenant Database Systems in Public Clouds. Int. J. Cloud Appl. Comput. 5(2): 1-22 (2015) - 2013
- [c13]Farhana H. Zulkernine, Patrick Martin, Ying Zou, Michael Bauer, Femida Gwadry-Sridhar, Ashraf Aboulnaga:
Towards Cloud-Based Analytics-as-a-Service (CLAaaS) for Big Data Analytics in the Cloud. BigData Congress 2013: 62-69 - [c12]Patrick Martin, Farhana H. Zulkernine, Shady Khalifa, Azadeh Eftekhari, B. Ashtiani, Dan Rope, Mike McRoberts, Craig Statchuk:
Analytics-as-a-service: confluence of big data, cloud computing and software-as-a-service. CASCON 2013: 392-395 - [c11]Farhana H. Zulkernine, Patrick Martin, Wendy Powley, Sima Soltani, Serge Mankovski, Mark Addleman:
CAPRI: a tool for mining complex line patterns in large log data. BigMine 2013: 47-54 - [c10]Rizwan Mian, Patrick Martin, Farhana H. Zulkernine, José Luis Vázquez-Poletti:
Towards building performance models for data-intensive workloads in public clouds. ICPE 2013: 259-270 - 2012
- [c9]Patrick Martin, Farhana H. Zulkernine:
Ultra-large scale services. CASCON 2012: 248-250 - [c8]Farhana H. Zulkernine, Patrick Martin, Sima Soltani, Wendy Powley, Serge Mankovski, Mark Addleman:
Towards a Training-Oriented Adaptive Decision Guidance and Support System. ICDE Workshops 2012: 111-120 - [c7]Farhana H. Zulkernine, Piergiorgio Bertoli, Marco Pistore, Andreas Friesen, Jens Lemcke, Bernhard Thimmel, Otfried von Geisau:
A Constraint-Driven Business Object Model for Service-Based Business Processes. ITNG 2012: 182-188 - [c6]Rizwan Mian, Patrick Martin, Farhana H. Zulkernine, José Luis Vázquez-Poletti:
Estimating resource costs of data-intensive workloads in public clouds. MGC@Middleware 2012: 3 - 2011
- [j2]Farhana H. Zulkernine, Patrick Martin:
An Adaptive and Intelligent SLA Negotiation System for Web Services. IEEE Trans. Serv. Comput. 4(1): 31-43 (2011)
2000 – 2009
- 2009
- [b1]Farhana H. Zulkernine:
A Comprehensive Service Management Middleware for Autonomic Management of Composite Web Services-Based Processes. Queen's University at Kingston, Ontario, Canada, 2009 - [j1]M. Kathryn Brohman, Gabriele Piccoli, Patrick Martin, Farhana H. Zulkernine, A. Parasuraman, Richard T. Watson:
A Design Theory Approach to Building Strategic Network-Based Customer Service Systems. Decis. Sci. 40(3): 403-430 (2009) - [c5]Farhana H. Zulkernine, Patrick Martin, Chris Craddock, Kirk Wilson:
A Policy-Based Middleware for Web Services SLA Negotiation. ICWS 2009: 1043-1050 - [p1]Farhana H. Zulkernine, Wendy Powley, Patrick Martin:
Autonomic Management of Networked Web Services-Based Processes. Autonomic Computing and Networking 2009: 333-353 - 2008
- [c4]Farhana H. Zulkernine, Patrick Martin, Kirk Wilson:
A Middleware Solution to Monitoring Composite Web Services-Based Processes. SERVICES II 2008: 149-156 - 2007
- [c3]Farhana H. Zulkernine, Patrick Martin:
Conceptual Framework for a Comprehensive Service Management Middleware. AINA Workshops (1) 2007: 995-1000 - [c2]Ziqiang Xu, Patrick Martin, Wendy Powley, Farhana H. Zulkernine:
Reputation-Enhanced QoS-based Web Services Discovery. ICWS 2007: 249-256 - 2005
- [c1]Wenhu Tian, Farhana H. Zulkernine, Jared Zebedee, Wendy Powley, Patrick Martin:
Architecture for an Autonomic Web Services Environment. WSMDEIS 2005: 32-44