Applying Aggregation Concepts for Image Search. - Brandeis Marshall; Dale-Marie Wilson (ISM, 2008)

Maximizing network security given a limited budget. - Nwokedi C. Idika; Brandeis H. Marshall; Bharat K. Bhargava (Richard Tapia Celebration of Diversity in Computing Conference, 2009)

Modeling betweenness for question answering. - Brandeis Marshall (ESAIR, 2010)

Aggregating music recommendation Web APIs by artist. - Brandeis Marshall (IRI, 2010)

Determining result quality for vertical result merging. - Brandeis Marshall (IRI, 2010)

Scientific workflow management systems and workflow patterns. - Amruta Shiroor; John A. Springer; Thomas J. Hacker; Brandeis Marshall; Jeffrey Brewer (Int. J. Bus. Process. Integr. Manag., 2010)

Context seeking with social tags. - Brandeis Marshall (ESAIR, 2011)

Kernel Level Support for Workflow Patterns. - Manish Kumar; Thomas J. Hacker; John A. Springer; Brandeis Marshall (SERVICES, 2011)

Eye tracking data understanding for product representation studies. - Brandeis H. Marshall; Shweta Sareen; John A. Springer; Tahira Reid (RIIT, 2014)

Betweenness Centrality Approaches for Image Retrieval. - Brandeis Marshall; Anuya Ghanekar; John A. Springer; Eric Matson (ISM, 2015)

EvergreenLP: Using a social network as a learning platform. - Jaye Nias; Brandeis Marshall; Tayloir Thompson; Takeria Blunt (FIE, 2017)

Data science experiences for undergraduates. - Brandeis Marshall (J. Comput. Sci. Coll., 2017)

The Impact of Live Tweeting on Social Movements. - Brandeis Marshall; Takeria Blunt; Tayloir Thompson (IRI, 2018)

Data Modeling for Undergraduate Data Science: (Abstract Only). - Karen C. Davis; Brandeis Marshall; Lancie Affonso (SIGCSE, 2018)

Targeted Curricular Innovations in Data Science. - Brandeis Marshall; Susan Geier (FIE, 2019)

National Academies' Roundtable on Data Science Postsecondary Education. - Tyler Kloefkorn; Michael Boardman; Nicholas J. Horton; Brandeis Marshall (SIGCSE, 2020)

Cross-Disciplinary Faculty Development in Data Science Principles for Classroom Integration. - Brandeis Marshall; Susan Geier (SIGCSE, 2020)

Debugging the Gender Gap: (Re-)entry Initiatives in Emerging Technologies for Women. - Elodie Billionniere; Farzana Rahman; Brandeis Marshall; Tami Forman (SIGITE, 2020)

As a CS educator, how do you think we can address inequity issues that exist in the field? - Jeffrey Miller; Karen C. Davis; Brandeis Marshall; Nicki Washington; Manuel A. Pérez-Quiñones; Leo Porter 001; Juan E. Gilbert (ACM SIGCSE Bull., 2020)

Waking up to Marginalization: Public Value Failures in Artificial Intelligence and Data Science. - Thema Monroe-White; Brandeis Marshall; Hugo Contreras-Palacios (AIDBEI, 2021)

Debugging the Diversity Tech's Gap through (Re-)entry Initiatives in Emerging Technologies for Women. - Farzana Rahman; Elodie Billionniere; Brandeis Marshall; Hyunjin Seo; Tami Forman (SIGCSE, 2021)

Flowing, not Forcing: Finding and Maintaining Authenticity as Black Women in Academia. - Nicki Washington; Siobahn Day Grady; Kyla A. McMullen; Shaundra Daily; Brandeis Marshall (SIGCSE, 2021)

Social Exclusion in Data Science: A Critical Exploration of Disparate Representation in Higher Education. - Thema Monroe-White; Brandeis Marshall; Hugo Contreras-Palacios (AMCIS, 2022)

No legal personhood for AI. - Brandeis Marshall (Patterns, 2023)

A large-scale study of performance and equity of commercial remote identity verification technologies across demographics. - Kaniz Fatima; Michael E. Schuckers; Gerardo Cruz-Ortiz; Daqing Hou; Sandip Purnapatra; Tiffany Andrews; Ambuj Neupane; Brandeis Marshall; Stephanie Schuckers (IJCB, 2024)

Ten simple rules for building and maintaining a responsible data science workflow. - Sara Stoudt; Yacine Jernite; Brandeis Marshall; Ben Marwick; Malvika Sharan; Kirstie Whitaker; Valentin Danchev (PLoS Comput. Biol., 2024)