Sharing training patterns in neural network ensembles. - Rozita A. Dara 001; Mohamed Kamel (IJCNN, 2004)

Sharing Training Patterns among Multiple Classifiers. - Rozita A. Dara 001; Mohamed S. Kamel (Multiple Classifier Systems, 2004)

Effect of sharing training patterns on the performance of classifier ensemble. - Rozita A. Dara 001; Mohamed S. Kamel (SMC (2), 2004)

An information-theoretic measure to evaluate data partitions in multiple classifiers. - Rozita A. Dara 001; Masoud Makrehchi; Mohamed S. Kamel (SMC (5), 2004)

Data Partitioning Evaluation Measures for Classifier Ensembles. - Rozita A. Dara 001; Masoud Makrehchi; Mohamed S. Kamel (Multiple Classifier Systems, 2005)

A semi-supervised approach to customer relationship management. - Rozita A. Dara 001; Tauseef Khan; Jawad Azim; Orlando Cicchello; Gary Cort (Artificial Intelligence and Soft Computing, 2006)

On poem recognition. - Hamid R. Tizhoosh; Rozita A. Dara 001 (Pattern Anal. Appl., 2006)

Adaptive fusion and co-operative training for classifier ensembles. - Nayer M. Wanas; Rozita A. Dara 001; Mohamed S. Kamel (Pattern Recognit., 2006)

Cooperative Training in Multiple Classifier Systems. - Rozita Alaleh Dara (2007)

Using dynamic execution data to generate test cases. - Rozita Dara 001; Shimin Li; Weining Liu; Angi Smith-Ghorbani; Ladan Tahvildari (ICSM, 2009)

Data dependency in multiple classifier systems. - Rozita A. Dara 001; Mohamed S. Kamel; Nayer M. Wanas (Pattern Recognit., 2009)

Filter-Based Data Partitioning for Training Multiple Classifier Systems. - Rozita A. Dara 001; Masoud Makrehchi; Mohamed S. Kamel (IEEE Trans. Knowl. Data Eng., 2010)

Prioritizing Requirements-Based Regression Test Cases: A Goal-Driven Practice. - Mazeiar Salehie; Sen Li; Ladan Tahvildari; Rozita Dara 001; Shimin Li; Mark Moore (CSMR, 2011)

A Practical Ontology-driven Workflow Composition Framework. - Huy Pham; Deborah Stacey; Rozita Dara 001 (KEOD, 2011)

Recommender Systems for Privacy Management: A Framework. - Curtis Rasmussen; Rozita Dara 001 (HASE, 2014)

An Accurate, Fast Embedded Feature Selection for SVMs. - Tarfa Hamed; Rozita Dara 001; Stefan C. Kremer (ICMLA, 2014)

Open data offers open opportunities: A case study on improving aid management. - Elisha Colmenar; Abu Muslim; Rozita Dara 001 (IHTC, 2014)

Empowering users through privacy management recommender systems. - Curtis Rasmussen; Rozita Dara 001 (IHTC, 2014)

A Machine-Learning Based Approach for Measuring the Completeness of Online Privacy Policies. - Niharika Guntamukkala; Rozita Dara 001; Gary Gréwal (ICMLA, 2015)

A Novel Differential Privacy Approach that Enhances Classification Accuracy. - A. N. K. Zaman; Charlie Obimbo; Rozita A. Dara 001 (C3S2E, 2016)

Extracting keyword and keyphrase from online privacy policies. - Dhiren A. Audich; Rozita Dara 001; Blair Nonnecke (ICDIM, 2016)

An Improved Data Sanitization Algorithm for Privacy Preserving Medical Data Publishing. - A. N. K. Zaman; Charlie Obimbo; Rozita A. Dara 001 (Canadian AI, 2017)

An improved differential privacy algorithm to protect re-identification of data. - A. N. K. Zaman; Charlie Obimbo; Rozita A. Dara 001 (IHTC, 2017)

Region-Based Convolutional Networks for End-to-End Detection of Agricultural Mushrooms. - Alexander J. Olpin; Rozita Dara 001; Deborah A. Stacey; Mohamed Kashkoush (ICISP, 2018)

Sentiment Classification of Short Texts - Movie Review Case Study. - Jaspinder Kaur; Rozita Dara 001; Pascal Matsakis (IEA/AIE, 2018)

Information Disclosure, Security, and Data Quality. - A. N. K. Zaman; Charlie Obimbo; Rozita A. Dara 001 (IEA/AIE, 2018)

Privacy Policy Annotation for Semi-automated Analysis: A Cost-Effective Approach. - Dhiren A. Audich; Rozita Dara 001; Blair Nonnecke (IFIPTM, 2018)

Network intrusion detection system based on recursive feature addition and bigram technique. - Tarfa Hamed; Rozita Dara 001; Stefan C. Kremer (Comput. Secur., 2018)

A comprehensive keyword analysis of online privacy policies. - Jasmin Kaur; Rozita A. Dara 001; Charlie Obimbo; Fei Song 002; Karen Menard (Inf. Secur. J. A Glob. Perspect., 2018)

Impact of In-domain Vector Representations on the Classification of Disease-related Tweets: Avian Influenza Case Study. - Samira Yousefinaghani; Rozita Dara 001; Shayan Sharif (DocEng, 2019)

Convolutional Classification of Pathogenicity in H5 Avian Influenza Strains. - Akshay Chadha; Rozita Dara 001; Zvonimir Poljak (ICMLA, 2019)

Using Convolutional Neural Networks to Extract Keywords and Keyphrases: A Case Study for Foodborne Illnesses. - Jingjing Wang; Fei Song 002; Kavita Walia; Jeffery Farber; Rozita A. Dara 001 (ICMLA, 2019)

Widely Reused and Shared, Infrequently Updated, and Sometimes Inherited: A Holistic View of PIN Authentication in Digital Lives and Beyond. - Hassan Khan; Jason Ceci; Jonah Stegman; Adam J. Aviv; Rozita Dara 001; Ravi Kuber (ACSAC, 2020)

Blockchain-based Trust Management in Social Internet of Things. - Mohammad Amiri-Zarandi; Rozita A. Dara 001 (DASC/PiCom/CBDCom/CyberSciTech, 2020)

Smart poultry management: Smart sensors, big data, and the internet of things. - Jake Astill; Rozita A. Dara 001; Evan D. G. Fraser; Bruce Roberts; Shayan Sharif (Comput. Electron. Agric., 2020)

A survey of machine learning-based solutions to protect privacy in the Internet of Things. - Mohammad Amiri-Zarandi; Rozita Dara 001; Evan D. G. Fraser (Comput. Secur., 2020)

A review of data governance challenges in smart farming and potential solutions. - Adesola Anidu; Rozita Dara 001 (ISTAS, 2021)

Automated generation of privacy policy using deep models. - Nastaran Bateni; Rozita Dara 001 (ISTAS, 2021)

One Health Informatics and the stewardship of complex systems. - Graham W. Taylor; Theresa Bernardo; Deborah A. Stacey; Kassy Raymond; Rozita Dara 001; Samira Yousefinaghani; Ethan Pike (ISTAS, 2021)

Improving Readability of Online Privacy Policies through DOOP: A Domain Ontology for Online Privacy. - Dhiren A. Audich; Rozita Dara 001; Blair Nonnecke (Digit., 2021)

On the Impact of Deep Learning and Feature Extraction for Arabic Audio Classification and Speaker Identification. - Sakib Shahriar; Rozita Dara 001; Kadhim Hayawi (AICCSA, 2022)

Content Analysis of Privacy Policies Before and After GDPR. - Nastaran Bateni; Jasmin Kaur; Rozita Dara 001; Fei Song 002 (PST, 2022)

A Semantic-based Approach to Reduce the Reading Time of Privacy Policies. - Jasmin Kaur; Rozita Dara 001; Ritu Chaturvedi (PST, 2022)

Recommendations for ethical and responsible use of artificial intelligence in digital agriculture. - Rozita Dara 001; Seyed Mehdi Hazrati Fard; Jasmin Kaur (Frontiers Artif. Intell., 2022)

Is the Internet of Things a helpful employee? An exploratory study of discourses of Canadian farmers. - Melanie McCaig; Davar Rezania; Rozita Dara 001 (Internet Things, 2022)

LBTM: A lightweight blockchain-based trust management system for social internet of things. - Mohammad Amiri-Zarandi; Rozita A. Dara 001; Evan D. G. Fraser (J. Supercomput., 2022)

A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle. - Sakib Shahriar; Sonal Allana; Seyed Mehdi Hazratifard; Rozita Dara 001 (IEEE Access, 2023)

A Review of Social Media Data Utilization for the Prediction of Disease Outbreaks and Understanding Public Perception. - Alice Wang; Rozita Dara 001; Samira Yousefinaghani; Emily Maier; Shayan Sharif (Big Data Cogn. Comput., 2023)

Farmer-centric design thinking principles for smart farming technologies. - Melanie McCaig; Rozita Dara 001; Davar Rezania (Internet Things, 2023)

SIDS: A federated learning approach for intrusion detection in IoT using Social Internet of Things. - Mohammad Amiri-Zarandi; Rozita A. Dara 001; Xiaodong Lin (Comput. Networks, 2023)

A federated and explainable approach for insider threat detection in IoT. - Mohammad Amiri-Zarandi; Hadis Karimipour; Rozita A. Dara 001 (Internet Things, 2023)

PriSM: Privacy-Preserving Social Media Text Processing and Analytics Framework. - Sakib Shahriar; Rozita Dara 001 (ICDM (Workshops), 2024)

A comprehensive review of current trends, challenges, and opportunities in text data privacy. - Sakib Shahriar; Rozita Dara 001; Rajen Akalu (Comput. Secur., 2025)

Trustworthy AI: AI developers' lens to implementation challenges and opportunities. - Carter Cousineau; Rozita Dara 001; Ataharul Chowdhury (Data Inf. Manag., 2025)

Leveraging social media and google trends to identify waves of avian influenza outbreaks in USA and Canada. - Marzieh Soltani; Rozita Dara 001; Zvonimir Poljak; Caroline Dubé; Neil D. B. Bruce; Shayan Sharif (Expert Syst. Appl., 2025)

Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review. - Sonal Allana; Mohan Kankanhalli; Rozita Dara 001 (CoRR, 2025)

Towards integration of Privacy Enhancing Technologies in Explainable Artificial Intelligence. - Sonal Allana; Rozita Dara 001; Xiaodong Lin; Pulei Xiong (CoRR, 2025)

Transparency requirements across AI legislative acts, frameworks and organizations: shaping a sample transparency card. - Carter Cousineau; Nadja Herger; Rozita Dara 001 (AI Ethics, 2025)