Ricky J. Sethi
#26,913
Most Influential Person Now
American computer scientist
Ricky J. Sethi's AcademicInfluence.com Rankings
Ricky J. Sethicomputer-science Degrees
Computer Science
#2693
World Rank
#2818
Historical Rank
#1147
USA Rank
Artificial Intelligence
#3068
World Rank
#3114
Historical Rank
#247
USA Rank
Machine Learning
#4929
World Rank
#4986
Historical Rank
#180
USA Rank
Database
#10283
World Rank
#10925
Historical Rank
#1533
USA Rank
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Computer Science
Ricky J. Sethi's Degrees
- Bachelors Computer Science Stanford University
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Why Is Ricky J. Sethi Influential?
(Suggest an Edit or Addition)According to Wikipedia, Ricky J. Sethi is an Assistant Professor of Computer Science at Fitchburg State University and the Director of Research for The Madsci Network. He was appointed as a National Science Foundation Computing Innovation Fellow by the Computing Community Consortium and the Computing Research Association. He has contributed significantly in the fields of machine learning, computer vision, social computing, and science education/eLearning.
Ricky J. Sethi's Published Works
Published Works
- Curriculum Guidelines for Undergraduate Programs in Data Science (2017) (149)
- Using questions sent to an Ask‐A‐Scientist site to identify children's interests in science (2006) (100)
- Asking scientists: A decade of questions analyzed by age, gender, and country (2009) (55)
- Crowdsourcing the Verification of Fake News and Alternative Facts (2017) (36)
- Identifying Students' Interests in Biology Using a Decade of Self-Generated Questions. (2010) (28)
- Making data analysis expertise broadly accessible through workflows (2011) (26)
- Wide Area Tracking in Single and Multiple Views (2011) (25)
- Figure-Associated Text Summarization and Evaluation (2015) (22)
- A Review of Physics-based Methods for Group and Crowd Analysis in Computer Vision (2013) (20)
- Modeling and recognition of complex multi-person interactions in video (2010) (20)
- Activity recognition by integrating the physics of motion with a Neuromorphic model of perception (2009) (19)
- Towards defining groups and crowds in video using the atomic group actions dataset (2015) (17)
- Modeling and Recognition of Complex Human Activities (2011) (17)
- Large-scale multimedia content analysis using scientific workflows (2013) (16)
- Physics-based activity modelling in phase space (2010) (16)
- Motion Pattern Analysis for Modeling and Recognition of Complex Human Activities (2011) (14)
- Spotting Fake News: A Social Argumentation Framework for Scrutinizing Alternative Facts (2017) (11)
- Re-Using Workflow Fragments across Multiple Data Domains (2012) (8)
- An initial analysis of semantic wikis (2013) (8)
- A Social Collaboration Argumentation System for Generating Multi-Faceted Answers in Question and Answer Communities (2011) (8)
- Multibiometrics for Human Identification: Gait Recognition Using Motion Physics in a Neuromorphic Computing Framework (2011) (7)
- Fact Checking Misinformation Using Recommendations from Emotional Pedagogical Agents (2019) (6)
- Individuals, groups, and crowds: Modelling complex, multi-object behaviour in phase space (2011) (6)
- The human action image and its application to motion recognition (2010) (6)
- Structured analysis of the ISI Atomic Pair Actions dataset using workflows (2013) (5)
- Measures of Threaded Discussion Properties (2017) (4)
- Extinguishing the Backfire Effect: Using Emotions in Online Social Collaborative Argumentation for Fact Checking (2018) (4)
- Scientific workflows in data analysis: Bridging expertise across multiple domains (2017) (4)
- A Neurobiologically Motivated Stochastic Method for Analysis of Human Activities in Video (2010) (4)
- Reproducibility in computer vision: Towards open publication of image analysis experiments as semantic workflows (2016) (3)
- The Human Action Image (2010) (3)
- Modeling Multi-Object Activities in Phase Space (2010) (3)
- The Democratization of Semantic Properties: An Analysis of Semantic Wikis (2013) (3)
- An Open Access Platform for Analyzing Artistic Style Using Semantic Workflows (2018) (2)
- A physics-based stochastic framework for activity recognition and analysis (2011) (1)
- A Physics-Based, Neurobiologically-Inspired Stochastic Framework for Activity Recognition (2009) (1)
- A Framework for Computing Artistic Style Using Artistically Relevant Features (2017) (1)
- Intelligent workflows for visual stylometry (2018) (1)
- A generalized data-driven Hamiltonian Monte Carlo for hierarchical activity search (2013) (1)
- Democratizing the Visual Stylometry of Art : Analysis of Artistic Style through Computational Workflows (2016) (1)
- The Madsci Network Technical Report MSN-2003-33 (2013) (1)
- Collaboration in Computer Vision Using Scientific Workflows (2016) (1)
- ISI Atomic Pair Actions Dataset (2017) (0)
- Fuzzy Law: Towards Creating a Novel Explainable Technology-Assisted Review System for e-Discovery (2022) (0)
- Atomic Group Actions Dataset (2017) (0)
- Fact-Checking via Structured Discussions in Virtual Communities (2017) (0)
- Do you know DCOP ? Intelligent Workflows for Visual Sty-lometry (0)
- Computer Vision: Modelling Groups and Forming Crowds (2013) (0)
- WAIVS: An Intelligent Interface for Visual Stylometry Using Semantic Workflows (2018) (0)
- A Social Collaboration Argumentation System for Generating (2011) (0)
- A Perceptually-Inspired Stochastic Framework for Video Search and Analysis (2014) (0)
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What Schools Are Affiliated With Ricky J. Sethi?
Ricky J. Sethi is affiliated with the following schools: