Selected Publications

Updated November 29, 2023.

Awards and Grants
  1. Structured Discussions and Scientific Workflows for Data Analysis
    Amazon AWS Research Grant
    $80,000, 2017 - 2020, PI
  2. Scientific Workflows, Image Analysis, and Visual Stylometry in the Digital Analysis of Art
    National Endowment for the Humanities (NEH) with NEH Grant HD-248360-16
    $40,000, 2016 - 2017, co-PI
  3. Machine Learning Framework for Social Computing and Collective Intelligence
    National Science Foundation (NSF)/Computing Research Associates (CRA) Computing Innovation Fellowship with NSF Award 1019343/Sub Award CIF-B-17
    $285,371, 2010 - 2012, PI
Journals
  1. Catherine A. Buell, Yolanda Gil, William P. Seeley, and Ricky J. Sethi, "Intelligent Workflows for Visual Stylometry". ACM Special Interest Group on Artificial Intelligence (ACM SIGAI) (2018). PDF

  2. Ricky J. Sethi and Yolanda Gil, "Scientific Workflows in Data Analysis: Bridging Expertise Across Multiple Domains". Future Generation Computer Systems (FGCS) (2017). PDF

  3. Richard De Veaux, Mahesh Agarwal, Maia Averett, Benjamin Baumer, Andrew Bray, Thomas Bressoud, Lance Bryant, Lei Cheng, Amanda Francis, Robert Gould, Albert Y. Kim, Matt Kretchmar, Qin Lu, Ann Moskol, Deborah Nolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, Neelesh Tiruviluamala, Paul Uhlig, Talitha Washington, Curtis Wesley, David White, and Ping Ye, "Curriculum Guidelines for Undergraduate Programs in Data Science". Annual Review of Statistics and Its Application (Annu Rev Stat Appl) (2017). PDF

  4. William P. Seeley, Catherine A. Buell, and Ricky J. Sethi, "Categories of Art and Computers: A Question of Artistic Style". American Society for Aesthetics (ASA) (2017). PDF

  5. Balaji Polepalli Ramesh, Ricky J. Sethi, and Hong Yu, "Figure-Associated Text Summarization and Evaluation". PLOS ONE (2014). PDF

  6. Ricky J. Sethi, Hyunjoon Jo, and Yolanda Gil, "Structured Analysis of the Atomic Pair Actions Dataset using Workflows". Smart Approaches for Human Action Recognition, Pattern Recognition Letters (PRL) (2013). PDF

  7. Ayelet Baram-Tsabari, Ricky J. Sethi, Lynn Bry, and Anat Yarden, "Asking scientists: A decade of questions analyzed by age, gender, and country". Science Education (SE) (2009). PDF

  8. Ayelet Baram-Tsabari, Ricky J. Sethi, Lynn Bry, and Anat Yarden, "Using questions sent to an Ask-A-Scientist site to identify childrens interests in science". Science Education (SE) (2006). PDF

Refereed Conferences and Workshops
  1. Charles Courchaine, Tasnova Tabassum, Corey Wade, and Ricky J. Sethi, "Explainable e-Discovery (XeD) Using an Interpretable Fuzzy ARTMAP Neural Network for Technology-Assisted Review". Proceedings of LegalIR in IEEE International Conference on Big Data (BIG DATA) (2023). PDF

  2. Charles Courchaine and Ricky J. Sethi, "Opening the TAR Black Box: Developing an Interpretable System for eDiscovery Using the Fuzzy ARTMAP Neural Network". Proceedings of LegalIR in ACM European Conference on Information Retrieval (ECIR) (2023). PDF

  3. Charles Courchaine and Ricky J. Sethi, "Fuzzy Law: Towards Creating a Novel Explainable Technology-Assisted Review System for e-Discovery". IEEE International Conference on Big Data (BIG DATA) (2022). PDF

  4. Ricky J. Sethi, Raghuram Rangaraju, and Bryce Shurts, "Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents". 15th International Conference on Intelligent Tutoring Systems (ITS) (2019). PDF

  5. Ricky J. Sethi and Raghuram Rangaraju, "Extinguishing the Backfire Effect: Using Emotions in Online Social Collaborative Argumentation for Fact Checking". IEEE International Conference on Web Services (IEEE ICWS) (2018). PDF

  6. Ricky J. Sethi, Catherine A. Buell, William P. Seeley, and Swaroop Krothapalli, "An Open Access Platform for Analyzing Artistic Style Using Semantic Workflows". IEEE International Conference on Web Services (IEEE ICWS) (2018). PDF

  7. Ricky J. Sethi, Catherine A. Buell, and William P. Seeley, "WAIVS: An Intelligent Interface for Visual Stylometry Using Semantic Workflows". ACM International Conference on Intelligent User Interfaces (ACM IUI) (2018). PDF

  8. Ricky J. Sethi, "Spotting Fake News: A Social Argumentation Framework for Scrutinizing Alternative Facts". IEEE International Conference on Web Services (IEEE ICWS) (2017). PDF mp4

  9. Catherine A. Buell, William P. Seeley, and Ricky J. Sethi, "A Framework for Computing Artistic Style Using Artistically Relevant Features". IEEE International Conference on eScience (IEEE eScience) (2017). PDF

  10. Ricky J. Sethi, "Crowdsourcing the Verification of Fake News and Alternative Facts". ACM Conference on Hypertext and Social Media (ACM HT) (2017). (Demo) PDF

  11. Ricky J. Sethi, "Fact-Checking via Structured Discussions in Virtual Communities". 3rd International Workshop on Social Media World Sensors (Sideways) (2017). (Keynote) PDF

  12. Ricky J. Sethi and Yolanda Gil, "Reproducibility in computer vision: Towards open publication of image analysis experiments as semantic workflows". IEEE International Conference on eScience (IEEE eScience) (2016). (Oral) PDF

  13. Kabir Chug and Ricky J. Sethi, "Collaboration in Computer Vision using Scientific Workflows". IEEE International Conference on Collaboration Technologies and Systems (IEEE CTS) (2016). PDF

  14. Ricky J. Sethi, "Towards Defining Groups and Crowds in Video Using the Atomic Group Actions Dataset". IEEE International Conference on Image Processing (IEEE ICIP) (2015). (Oral) PDF

  15. Ricky J. Sethi, "A Perceptually-Inspired Stochastic Framework for Video Search and Analysis". Perception Inspired Video Processing held in conjunction with ACM International Conference on Multimedia (ACM MM) (2014). (Oral) PDF

  16. Ricky J. Sethi, Yolanda Gil, Hyunjoon Jo, and Andrew Philpot, "Large-Scale Multimedia Content Analysis Using Scientific Workflows". ACM International Conference on Multimedia (ACM MM) (2013). (Oral) PDF

  17. Yolanda Gil, Angela Knight, Kevin Zhang, Larry Zhang, and Ricky J. Sethi, "An Initial Analysis of Semantic Wikis".
    ACM International Conference on Intelligent User Interfaces (ACM IUI) (2013). PDF

  18. Ricky J. Sethi, Hyunjoon Jo, and Amit K. Roy-Chowdhury, "A Generalized Data-Driven Hamiltonian Monte Carlo for Hierarchical Activity Search". IEEE International Conference on Image Processing (IEEE ICIP) (2013). PDF

  19. Ricky J. Sethi and Lynn Bry, "The Madsci Network: Direct Communication of Science from Scientist to Layperson". 21st International Conference on Computers in Education (APSCE ICCE) (2013). PDF

  20. Ricky J. Sethi, Hyunjoon Jo, and Yolanda Gil, "Re-Using Workflow Fragments Across Multiple Data Domains". Proceedings of the Seventh Workshop on Workflows in Support of Large-Scale Science held in conjunction with ACM/IEEE Supercomputing Conference (ACM/IEEE SC) (2012). (Oral) PDF

  21. Ricky J. Sethi, Lorenzo A. Rossi, and Yolanda Gil, "Measures of Threaded Discussion Properties". Intelligent Support for Learning in Groups at International Conference on Intelligent Tutoring Systems (ITS) (2012). PDF

  22. Ricky J. Sethi and Amit K. Roy-Chowdhury, "A Physics-based Stochastic Framework for Activity Recognition and Analysis". 51st Conference of the Society of Instrument and Control Engineers (SICE) (2011). (Oral)

  23. Matheus Hauder, Yolanda Gil, Ricky J. Sethi, Yan Liu, and Hyunjoon Jo, "Making Data Analysis Expertise Broadly Accessible through Workflows". Proceedings of the Sixth Workshop on Workflows in Support of Large-Scale Science held in conjunction with ACM/IEEE Supercomputing Conference (ACM/IEEE SC) (2011). (Oral) PDF

  24. Ricky J. Sethi and Amit K. Roy-Chowdhury, "Modeling and Recognition of Complex Multi-Person Interactions in Video". ACM Workshop on Multimodal Pervasive Video Analysis held in conjunction with ACM Multimedia (ACM MM) (2010). (Oral)

  25. Ricky J. Sethi and Amit K. Roy-Chowdhury, "The Human Action Image". 19th International Conference on Pattern Recognition (IAPR ICPR) (2010). PDF

  26. Ricky J. Sethi and Amit K. Roy-Chowdhury, "A Neurobiologically Motivated Stochastic Method for Analysis of Human Activities in Video". 19th International Conference on Pattern Recognition (IAPR ICPR) (2010). PDF

  27. Ricky J. Sethi, Amit K. Roy-Chowdhury, and Saad Ali, "Activity Recognition by Integrating the Physics of Motion with a Neuromorphic Model of Perception". IEEE Workshop on Motion and Video Computing (IEEE WMVC)/IEEE Workshop on Applications of Computer Vision (IEEE WACV) (2009). PDF

Book Chapters
  1. Nandita M. Nayak *, Ricky J. Sethi *, Bi Song, and Amit K. Roy-Chowdhury, "Modeling and Recognition of Complex Human Activities". In T. B. Moeslund, L. Sigal, V. Kruger, and A. Hilton (Eds.), Visual Analysis of Humans. Springer-Verlag (2011). PDF

  2. Bi Song, Ricky J. Sethi, and Amit K. Roy-Chowdhury, "Wide Area Tracking in Single and Multiple Views". In T. B. Moeslund, L. Sigal, V. Kruger, and A. Hilton (Eds.), Visual Analysis of Humans. Springer-Verlag (2011). PDF

  3. Ricky J. Sethi, Amit K. Roy-Chowdhury, and Ashok Veeraraghavan, "Gait Recognition Using Motion Physics in a Neuromorphic Computing Framework". In B. Bhanu and V. Govindaraju (Eds.), Multibiometrics for Human Identification. Cambridge University Press (2010). PDF


Profile

Ricky J. Sethi

    • Nota Bene: The first picture is from my wedding many years (and even more pounds) ago. I don't look like this anymore but I've learned in life that, once you find a good picture, you hang on to it forever. The second picture is a slightly more accurate one with a new friend I met on a recent trip to Zurich. The third picture is my reflection on the seriousness of life and existence itself, of course.

Curriculum Vitae (CV)

Profile Summary

  • Affiliations:
    • Fitchburg State University
    • Worcester Polytechnic Institute
    • Southern New Hampshire University
  • Education:
    • University of California, Berkeley
    • University of Southern California
    • University of California, Riverside
  • Field of Research:
    • Social Computing
      Fact-checking misinformation, virtual communities, and group collaboration for science learning
    • Data Science
      Multimedia analysis in digital humanities, deep learning for IR and XAI, and reproducibility via semantic workflows
    • Computer Vision
      Group analysis in video using physics-based, machine learning models