Arash Shaban-Nejad

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 55

Top Topics

Artificial Intelligence

Personal Health

Formal Ontologies

Top Venues

Publications

Soheil Hashtarkhani, David L. Schwartz, Arash Shaban-Nejad
Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study. CoRR (2024)
Fekede Asefa Kumsa, Rameshwari Prasad, Arash Shaban-Nejad
Medication abortion via digital health in the United States: a systematic scoping review. CoRR (2023)
Fekede Asefa Kumsa, Brianna White, Nupur Singh, Nariman Ammar, Arash Shaban-Nejad
A Digital Personal Health Library for the Management of Abortion-Related Care via Telemedicine. EFMI-STC (2023)
Arash Shaban-Nejad, Nariman Ammar, Fekede Asefa Kumsa, Soheil Hashtarkhani, Brianna White, Lokesh K. Chinthala, Chase A. Owens, Neil Hayes, David L. Schwartz
Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy. MedInfo (2023)
Brianna M. White, Chad A. Melton, Parya Zareie, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad
Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis. CoRR (2023)
Brianna White, Fekede Asefa Kumsa, Nupur Singh, Chad A. Melton, Arash Shaban-Nejad
Evaluating the Effects of Misinformation on Public Sentiments Surrounding Access to Abortion Through Social Media Sentiment Analytics. EFMI-STC (2023)
Fekede Asefa Kumsa, Rameshwari Prasad, Arash Shaban-Nejad
Medication abortion via digital health in the United States: a systematic scoping review. npj Digit. Medicine 6 (2023)
Olufunto A. Olusanya, Brianna White, Chad A. Melton, Arash Shaban-Nejad
Examining the Implementation of Digital Health to Strengthen the COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries. CoRR (2022)
Brianna M. White, Arash Shaban-Nejad
Utilization of Digital Health Dashboards in Improving COVID-19 Vaccination Uptake, Accounting for Health Inequities. ICIMTH (2022)
Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad
Precision Clinical Medicine Through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients. IEEE Access 10 (2022)
Chad A. Melton, Brianna M. White, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad
Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study. CoRR (2022)
Whitney S. Brakefield, Olufunto A. Olusanya, Arash Shaban-Nejad
Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach. CoRR (2022)
Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model. CoRR (2022)
Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research. IEEE BigData (2021)
Nariman Ammar, Parya Zareie, Marion E. Hare, Lisa Rogers, Sandra Madubuonwu, Jason Yaun, Arash Shaban-Nejad
SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs). IEEE BigData (2021)
Arash Shaban-Nejad, Martin Michalowski, John S. Brownstein, David L. Buckeridge
Guest Editorial Explainable AI: Towards Fairness, Accountability, Transparency and Trust in Healthcare. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Jon Haël Brenas, Arash Shaban-Nejad
Proving the Correctness of Knowledge Graph Update: A Scenario From Surveillance of Adverse Childhood Experiences. Frontiers Big Data 4 (2021)
Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad
Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence. CoRR (2021)
Olufunto A. Olusanya, Nariman Ammar, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad
A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers. Frontiers Digit. Health 3 (2021)
Whitney S. Brakefield, Nariman Ammar, Olufunto A. Olusanya, Arash Shaban-Nejad
An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study. CoRR (2021)
Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad
Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data. CoRR (2021)
Oguz Akbilgic, Eun Kyong Shin, Arash Shaban-Nejad
A Data Science Approach to Analyze the Association of Socioeconomic and Environmental Conditions With Disparities in Pediatric Surgery. CoRR (2021)
Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation. CoRR (2021)
Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad
Sentiment Analysis of the Covid-19 Vaccines on Social Media. MedInfo (2021)
Chad A. Melton, Olufunto A. Olusanya, Arash Shaban-Nejad
Network Analysis of COVID-19 Vaccine Misinformation on Social Media. EFMI-STC (2021)
Olufunto A. Olusanya, Nariman Ammar, Whitney S. Brakefield, Mabel Crescioni, Janet Chupka, DeBran Tarver, Arash Shaban-Nejad
HemPHL: A Personal Health Library and mHealth Recommender to Promote Self-Management of Hemophilia. MIE (2021)
Whitney S. Brakefield, Nariman Ammar, Olufunto A. Olusanya, Esra Ozdenerol, Fridtjof Thomas, Altha J. Stewart, Karen C. Johnson, Robert L. Davis, David L. Schwartz, Arash Shaban-Nejad
Implementing an Urban Public Health Observatory for (Near) Real-Time Surveillance for the COVID-19 Pandemic. EFMI-STC (2020)
Jon Haël Brenas, Arash Shaban-Nejad
Health Intervention Evaluation Using Semantic Explainability and Causal Reasoning. IEEE Access 8 (2020)
Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41 (4) (2020)
Arash Shaban-Nejad, Martin Michalowski, Niels Peek, John S. Brownstein, David L. Buckeridge
Seven pillars of precision digital health and medicine. Artif. Intell. Medicine 103 (2020)
Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad
The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information. MIE (2020)
Nariman Ammar, Arash Shaban-Nejad
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development. CoRR (2020)
Eun Kyong Shin, Youngsang Kwon, Arash Shaban-Nejad
Geo-clustered chronic affinity: pathways from socio-economic disadvantages to health disparities. CoRR (2019)
Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad
Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques. CoRR (2019)
Guy Barash, Mauricio Castillo-Effen, Niyati Chhaya, Peter Clark, Huáscar Espinoza, Eitan Farchi, Christopher W. Geib, Odd Erik Gundersen, Seán Ó hÉigeartaigh, José Hernández-Orallo, Chiori Hori, Xiaowei Huang, Kokil Jaidka, Pavan Kapanipathi, Sarah Keren, Seokhwan Kim, Marc Lanctot, Danny Lange, Julian J. McAuley, David R. Martinez, Marwan Mattar, Mausam, Martin Michalowski, Reuth Mirsky, Roozbeh Mottaghi, Joseph C. Osborn, Julien Pérolat, Martin Schmid, Arash Shaban-Nejad, Onn Shehory, Biplav Srivastava, William W. Streilein, Kartik Talamadupula, Julian Togelius, Koichiro Yoshino, Quanshi Zhang, Imed Zitouni
Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Mag. 40 (3) (2019)
Eun Kyong Shin, Arash Shaban-Nejad
Applied Network Science for Relational Chronic Disease Surveillance. ICIMTH (2019)
Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad
A Hybrid Recommender System to Guide Assessment and Surveillance of Adverse Childhood Experiences. ICIMTH (2019)
Nii Antiaye Addy, Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé
An Innovative Approach to Addressing Childhood Obesity: A Knowledge-Based Infrastructure for Supporting Multi-Stakeholder Partnership Decision-Making in Quebec, Canada. CoRR (2019)
Jon Haël Brenas, Eun Kyong Shin, Arash Shaban-Nejad
An Ontological Framework to Improve Surveillance of Adverse Childhood Experiences (ACEs). EFMI-STC (2019)
Mohammad Sadnan Al Manir, Jon Haël Brenas, Christopher J. O. Baker, Arash Shaban-Nejad
A Surveillance Infrastructure for Malaria Analytics: Provisioning Data Access and Preservation of Interoperability. CoRR (2019)
Jon Haël Brenas, Mohammad Sadnan Al Manir, Kate Zinszer, Christopher J. O. Baker, Arash Shaban-Nejad
Exploring Semantic Data Federation to Enable Malaria Surveillance Queries. MIE (2018)
Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge
Health intelligence: how artificial intelligence transforms population and personalized health. npj Digit. Medicine 1 (2018)
Ruhi Mahajan, Eun Kyong Shin, Arash Shaban-Nejad, Max Raymond Langham, Michelle Y. Martin, Robert Lowell Davis, Oguz Akbilgic
Disparities in Population-Level Socio-Economic Factors Are Associated with Disparities in Preoperative Clinical Risk Factors in Children. EFMI-STC (2018)
Jon Haël Brenas, Martin Strecker, Rachid Echahed, Arash Shaban-Nejad
Applied Graph Transformation and Verification With Use Cases in Malaria Surveillance. IEEE Access 6 (2018)
Eun Kyong Shin, Arash Shaban-Nejad
Geo-Distinctive Comorbidity Networks of Pediatric Asthma. MIE (2018)
Eun Kyong Shin, Arash Shaban-Nejad
Urban Decay and Pediatric Asthma Prevalence in Memphis, Tennessee: Urban Data Integration for Efficient Population Health Surveillance. IEEE Access 6 (2018)
Bruno Bouchard, Kevin Bouchard, Noam Brown, Niyati Chhaya, Eitan Farchi, Sébastien Gaboury, Christopher W. Geib, Amelie Gyrard, Kokil Jaidka, Sarah Keren, Roni Khardon, Parisa Kordjamshidi, David R. Martinez, Nicholas Mattei, Martin Michalowski, Reuth Mirsky, Joseph C. Osborn, Cem Sahin, Onn Shehory, Arash Shaban-Nejad, Amit P. Sheth, Ilan Shimshoni, Howard E. Shrobe, Arunesh Sinha, Atanu R. Sinha, Biplav Srivastava, William W. Streilein, Georgios Theocharous, Kristen Brent Venable, Neal Wagner, Anna Zamansky
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. AI Mag. 39 (4) (2018)
Eun Kyong Shin, Ruhi Mahajan, Oguz Akbilgic, Arash Shaban-Nejad
Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits. npj Digit. Medicine 1 (2018)
Jon Haël Brenas, Mohammad Sadnan Al Manir, Christopher J. O. Baker, Arash Shaban-Nejad
A Malaria Analytics Framework to Support Evolution and Interoperability of Global Health Surveillance Systems. IEEE Access 5 (2017)
Eric C. Rouchka, Julia H. Chariker, David Tieri, Juw Won Park, Shreedharkumar D. Rajurkar, Vikas Singh, Nishchal K. Verma, Yan Cui, Mark L. Farman, Bradford Condon, Neil Moore, Jerzy W. Jaromczyk, Jolanta Jaromczyk, Daniel R. Harris, Patrick Calie, Eun Kyong Shin, Robert L. Davis, Arash Shaban-Nejad, Joshua M. Mitchell, Robert M. Flight, Qing Jun Wang, Richard M. Higashi, Teresa W.-M. Fan, Andrew N. Lane, Hunter N. B. Moseley, Liangqun Lu, Bernie J. Daigle, Xi Chen, Andrey Smelter, Li Chen, Bailey K. Phan, Nathaniel J. Serpico, Ethan G. Toney, Caroline E. Melton, Jennifer R. Mandel, Bernie J. Daigle Jr., Hao Chen, Kazi I. Zaman, Ramin Homayouni, Patrick J. Trainor, Samantha M. Carlisle, Andrew P. DeFilippis, Shesh N. Rai
Proceedings of the 16th Annual UT-KBRIN Bioinformatics Summit 2016: bioinformatics: Burns, TN, USA. April 21-23, 2017. BMC Bioinform. 18 (S-9) (2017)
Jon Haël Brenas, Mohammad Sadnan Al Manir, Christopher J. O. Baker, Arash Shaban-Nejad
A Change Management Dashboard for the SIEMA Global Malaria Surveillance Infrastructure. ISWC (Posters, Demos & Industry Tracks) (2017)
Arash Shaban-Nejad, Anya Okhmatovskaia, Eun Kyong Shin, Robert L. Davis, David L. Buckeridge
POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing. MedInfo (2017)
Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. 38 (3) (2017)
Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael J. Witbrock, Jie Zhang
Reports of the 2016 AAAI Workshop Program. AI Mag. 37 (3) (2016)
Arash Shaban-Nejad, Hiroshi Mamiya, Alexandre Riazanov, Alan J. Forster, Christopher J. O. Baker, Robyn Tamblyn, David L. Buckeridge
From Cues to Nudge: A Knowledge-Based Framework for Surveillance of Healthcare-Associated Infections. J. Medical Syst. 40 (1) (2016)
Stefano V. Albrecht, J. Christopher Beck, David L. Buckeridge, Adi Botea, Cornelia Caragea, Chi-Hung Chi, Theodoros Damoulas, Bistra Dilkina, Eric Eaton, Pooyan Fazli, Sam Ganzfried, Marius Lindauer, Marlos C. Machado, Yuri Malitsky, Gary Marcus, Sebastiaan A. Meijer, Francesca Rossi, Arash Shaban-Nejad, Sylvie Thiébaux, Manuela M. Veloso, Toby Walsh, Can Wang, Jie Zhang, Yu Zheng
Reports from the 2015 AAAI Workshop Program. AI Mag. 36 (2) (2015)
Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
Reports of the AAAI 2014 Conference Workshops. AI Mag. 36 (1) (2015)
Kate Zinszer, Anya Okhmatovskaia, Arash Shaban-Nejad, Lauren N. Carroll, Neil F. Abernethy, David L. Buckeridge
The SDIDS System for Integrating Global Health Surveillance Data: An Example Application to Malaria Surveillance in Uganda. AMIA (2015)
Arash Shaban-Nejad, Volker Haarslev
Managing changes in distributed biomedical ontologies using hierarchical distributed graph transformation. Int. J. Data Min. Bioinform. 11 (1) (2015)
Maxime Lavigne, Lam Dang-Duy, Catherine Ghassemian, Alexis Hamel, Anna Okhmatovskaia, Mojtaba Peyvandy, Arash Shaban-Nejad, David L. Buckeridge
Implementation of a Population Health Record in Montreal, Canada. AMIA (2014)
Anya Okhmatovskaia, Arash Shaban-Nejad, Maxime Lavigne, David L. Buckeridge
Addressing the Challenge of Encoding Causal Epidemiological Knowledge in Formal Ontologies: A Practical Perspective. MIE (2014)
Stephanie Brien, Nona Naderi, Arash Shaban-Nejad, Luke Mondor, Doerthe Kroemker, David L. Buckeridge
Vaccine attitude surveillance using semantic analysis: constructing a semantically annotated corpus. WWW (Companion Volume) (2013)
Arash Shaban-Nejad, Anya Okhmatovskaia, Masoumeh T. Izadi, Nona Naderi, Luke Mondor, Christian Jauvin, David L. Buckeridge
PHIO: A Knowledge Base for Interpretation and Calculation of Public Health Indicators. MedInfo (2013)
Arash Shaban-Nejad, Christian Jauvin, Maxime Lavigne, Masoumeh T. Izadi, Luke Mondor, Anya Okhmatovskaia, David L. Buckeridge
PopHR: An Integrated Semantic Framework for Population Health Surveillance. ICBO (2013)
Alexandre Riazanov, Artjom Klein, Arash Shaban-Nejad, Gregory W. Rose, Alan J. Forster, David L. Buckeridge, Christopher J. O. Baker
Semantic querying of relational data for clinical intelligence: a semantic web services-based approach. J. Biomed. Semant. 4 (2013)
Maxime Lavigne, Arash Shaban-Nejad, Anya Okhmatovskaia, Luke Mondor, David L. Buckeridge
A Hybrid Natural Language Approach to Manage Semantic Interoperability for Public Health Analytics. ISWC (Posters & Demos) (2013)
Arash Shaban-Nejad, Alexandre Riazanov, Katia M. L. Charland, Gregory W. Rose, Christopher J. O. Baker, Robyn Tamblyn, Alan J. Forster, David L. Buckeridge
HAIKU: A Semantic Framework for Surveillance of Healthcare-Associated Infections. ANT/MobiWIS (2012)
Arash Shaban-Nejad, Yu Ma, Masoumeh T. Izadi, Laurette Dubé, Luke Mondor, David L. Buckeridge
A knowledge-based architecture for integrating and interpreting population health data. DG.O (2012)
David L. Buckeridge, Masoumeh T. Izadi, Arash Shaban-Nejad, Luke Mondor, Christian Jauvin, Laurette Dubé, Yeona Jang, Robyn Tamblyn
An infrastructure for real-time population health assessment and monitoring. IBM J. Res. Dev. 56 (5) (2012)
Anya Okhmatovskaia, David L. Buckeridge, Arash Shaban-Nejad, Andrew Sutcliffe, Philippe Finès, Jacek A. Kopec, Michael C. Wolfson
SimPHO: an ontology for simulation modeling of population health. WSC (2012)
Jinan El-Hachem, Arash Shaban-Nejad, Volker Haarslev, Laurette Dubé, David L. Buckeridge
An OWL 2-Based Knowledge Platform Combining the Social and Semantic Webs for an Ambient Childhood Obesity Prevention System. ANT/MobiWIS (2012)
Arash Shaban-Nejad, Gregory W. Rose, Anya Okhmatovskaia, Alexandre Riazanov, Christopher J. O. Baker, Robyn Tamblyn, Alan J. Forster, David L. Buckeridge
Knowledge-based Surveillance for Preventing Postoperative Surgical Site Infection. MIE (2011)
Arash Shaban-Nejad, Volker Haarslev
An abstract representation model for evolutionary analysis of multi-agent interactions. IEEE Congress on Evolutionary Computation (2011)
Arash Shaban-Nejad, Volker Haarslev
An enhanced graph-oriented approach for change management in distributed biomedical ontologies and linked data. BIBM Workshops (2011)
Arash Shaban-Nejad, David L. Buckeridge, Laurette Dubé
COPE: Childhood Obesity Prevention [Knowledge] Enterprise. AIME (2011)
Alexandre Riazanov, Gregory W. Rose, Artjom Klein, Alan J. Forster, Christopher J. O. Baker, Arash Shaban-Nejad, David L. Buckeridge
Towards clinical intelligence with SADI semantic web services: a case study with hospital-acquired infections data. SWAT4LS (2011)
Arash Shaban-Nejad, Volker Haarslev
Strategic Health Information Management and Forecast: The Birdwatching Approach. ICCCI (3) (2010)
Arash Shaban-Nejad, Olga Ormandjieva, Mohamad Kassab, Volker Haarslev
Managing Requirement Volatility in an Ontology-Driven Clinical LIMS Using Category Theory. International Journal of Telemedicine and Applications CoRR (2009)
Arash Shaban-Nejad, Volker Haarslev
An ontology-empowered model for annotating protein-protein interaction data: a case study for budding yeast. IRI (2008)
Arash Shaban-Nejad, Volker Haarslev
Ontology-inferred phylogeny reconstruction for analyzing the evolutionary relationships between species: Ontological inference versus cladistics. BIBE (2008)
Arash Shaban-Nejad, Volker Haarslev
Web-based dynamic learning through lexical chaining: a step forward towards knowledge-driven education. ITiCSE (2008)
Arash Shaban-Nejad, Volker Haarslev
Incremental Biomedical Ontology Change Management through Learning Agents. KES-AMSTA (2008)
Arash Shaban-Nejad, Volker Haarslev
Categorical Representation of Evolving Structure of an Ontology for Clinical Fungus. AIME (2007)
Arash Shaban-Nejad, Volker Haarslev
Managing Conceptual Revisions in a Temporal Fungal Taxonomy. CBMS (2007)
Arash Shaban-Nejad, Volker Haarslev
Towards a framework for requirement change management in healthcare software applications. OOPSLA Companion (2007)
Christopher J. O. Baker, Arash Shaban-Nejad, Xiao Su, Volker Haarslev, Greg Butler
Semantic web infrastructure for fungal enzyme biotechnologists. J. Web Semant. 4 (3) (2006)
Arash Shaban-Nejad, Christopher J. O. Baker, Volker Haarslev, Greg Butler
The FungalWeb Ontology: Semantic Web Challenges in Bioinformatics and Genomics. ISWC (2005)