Narges Norouzi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 46

Top Topics

Fuel Consumption

Quantitative Evaluation

Programming Course

Lesion Segmentation

Top Venues

Publications

Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi
Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums. SIGCSE (2) (2024)
Mihran Miroyan, Shiny Weng, Rahul Shah, Lisa Yan, Narges Norouzi
EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in Interactive Lecture Participation Exercises. SIGCSE (1) (2024)
Jacob Seungwon Choe, Matthew G. Lee, Siddharth A. Marathe, Armando Fox, Dan Garcia, Narges Norouzi
Data Science Mastery Learning Using Parsons Problems-Inspired Table Transformations. SIGCSE (2) (2024)
Bita Akram, Juho Leinonen, Narges Norouzi, James Prather, Lisa Zhang
AI in Computing Education from Research to Practice. SIGCSE (2) (2024)
Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi
Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises. SIGCSE (2) (2024)
Laryn Qi, J. D. Zamfirescu-Pereira, Taehan Kim, Björn Hartmann, John DeNero, Narges Norouzi
A Knowledge-Component-Based Methodology for Evaluating AI Assistants. CoRR (2024)
Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi
RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums. AAAI (2024)
Yuerou Tang, Jacob Yim, Jordan Schwartz, Madison Bohannan, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi
Supporting Mastery Learning with Flexible Extensions. SIGCSE (2) (2024)
Jordan Schwartz, Madison Bohannan, Jacob Yim, Yuerou Tang, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi
Automated Support for Flexible Extensions. SIGCSE (2) (2024)
Muntasir Hoq, Jessica Vandenberg, Bradford W. Mott, James C. Lester, Narges Norouzi, Bita Akram
Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses. SIGCSE (2) (2024)
J. D. Zamfirescu-Pereira, Laryn Qi, Björn Hartmann, John DeNero, Narges Norouzi
61A-Bot: AI homework assistance in CS1 is fast and cheap - but is it helpful? CoRR (2024)
James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Virginia Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro
How Instructors Incorporate Generative AI into Teaching Computing. ITiCSE (2) (2024)
Narges Norouzi, Svetlana Orlova, Daan de Geus, Gijs Dubbelman
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers. CoRR (2024)
Narges Norouzi, Amir Mazaheri
Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction. AAAI (2023)
Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalçin, Cynthia Breazeal, Matt Taylor, Michele Donini, Erin J. Talvitie, Charlie Pilgrim, Paolo Turrini, James Maher, Matthew Boutell, Justin Wilson, Narges Norouzi, Jonathan Scott
Model AI Assignments 2023. AAAI (2023)
Mihran Miroyan, Shiny Weng, Rahul Shah, Lisa Yan, Narges Norouzi
EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in Interactive Lecture Participation Exercises. CoRR (2023)
Héctor Carrión, Narges Norouzi
FEDD - Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification. MICCAI (7) (2023)
Narges Norouzi, Hamidreza Habibi, Carmen Robinson, Anna Sher
An Equity-minded Multi-dimensional Framework for Exploring the Dynamics of Sense of Belonging in an Introductory CS Course. ITiCSE (1) (2023)
Michael Briden, Narges Norouzi
Uniform Selection And Representation Matching: A Framework For Classifying Wound Healing Stage. EMBC (2023)
Anirudh Potlapally, Shubham Mahajan, Michael Briden, Harrison Shawa, Andrea Medina Lopez, Daniel Yoon, Amir Mazaheri, Hsinya Yang, Sara Dahle, Roslyn R. Isseroff, Narges Norouzi
WoundNet: A Domain-Adaptable Few-Shot Classification Framework for Wound Healing Assessment. ISBI (2023)
Narges Norouzi, Carmen Robinson
Evaluation of the Impact of Modality for Equity Program. SIGCSE (2) (2023)
Héctor Carrión, Narges Norouzi
FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification. CoRR (2023)
Jordan Schwartz, Madison Bohannan, Jacob Yim, Yuerou Tang, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi
Developing a Tool to Automate Extensions to Support a Flexible Extension Policy. CoRR (2023)
Michael Briden, Narges Norouzi
Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis. Biol. Cybern. 117 (4) (2023)
Michael Briden, Narges Norouzi
Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis. ICPR Workshops (1) (2022)
Héctor Carrión, Mohammad Jafari, Hsin-Ya Yang, Roslyn Rivkah Isseroff, Marco Rolandi, Marcella Gomez, Narges Norouzi
HealNet - Self-supervised Acute Wound Heal-Stage Classification. MLMI@MICCAI (2022)
Keval Nagda, Michael Briden, Narges Norouzi
Fine-grained Cross-Layer Attention Framework for Wound Stage Classification. BHI (2022)
Narges Norouzi, Reza Azmi, Sara Saberi Tehrani Moghadam, Maral Zarvani
SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies. CoRR (2022)
Héctor Carrión, Mohammad Jafari, Hsin-Ya Yang, Roslyn Rivkah Isseroff, Marco Rolandi, Marcella Gomez, Narges Norouzi
HealNet - Self-Supervised Acute Wound Heal-Stage Classification. CoRR (2022)
Kyle Oda, Narges Norouzi
EEG Data Analysis for Intellectual Developmental Disorder. BIBM (2021)
Narges Norouzi, Reza Azmi, Nooshin Noshiri, Robab Anbiaee
A New Automatic Change Detection Frame-work Based on Region Growing and Weighted Local Mutual Information: Analysis of Breast Tumor Response to Chemotherapy in Serial MR Images. CoRR (2021)
Michael Briden, Narges Norouzi
WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience. EMBC (2021)
Narges Norouzi, Carmen Robinson, Rebecca Covarrubias, Ruby Hernandez, Danay Weldegabriel, Gwynn Benner, Wenjuan Sang, Rafael Espericueta
Baskin Engineering Excellence Scholars Bridge Program: Planning, Implementation, and Evaluation. FIE (2021)
Sherry Lin, Narges Norouzi
An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images. EMBC (2021)
Todd W. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, James Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett
Model AI Assignments 2020. AAAI (2020)
Tracy Larrabee, Narges Norouzi, Carmen Robinson, Jenny Quynn
Successful Interventions to Eliminate Achievement Gaps in STEM Courses. RESPECT (2020)
Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge
Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. AAAI (2020)
Wen Cui, Minghui Zhou, Rongwen Zhao, Narges Norouzi
KB-NLG: From Knowledge Base to Natural Language Generation. WNLP@ACL (2019)
Fahim Hasan Khan, Akila de Silva, Jayanth Yetukuri, Narges Norouzi
Sequential Image Synthesis for Human Activity Video Generation. ICIAR (2) (2019)
Matthew J. Howard, Alexander S. Williamson, Narges Norouzi
Video Manipulation Detection via Recurrent Residual Feature Learning Networks. GlobalSIP (2019)
Angela Ramirez, Solomon Reinman, Narges Norouzi
PokerBot: Hand Strength Reinforcement Learning. INISTA (2019)
Narges Norouzi, Ryan Hausen
Quantitative Evaluation of Student Engagement in a Large-Scale Introduction to Programming Course using a Cloud-based Automatic Grading System. FIE (2018)
Narges Norouzi, Sally Carver, Taylor Dear, Simon Bromberg, Sara Gray, Mel Kahan, Parham Aarabi, Bjug Borgundvaag
Evaluation of alcohol intoxication and withdrawal syndromes based on analysis of tremor signals. Biomed. Signal Process. Control. 33 (2017)
Narges Norouzi, Mohsen Sadegh Amal Nick, Reza Tavakkoli-Moghaddam
Modified particle swarm optimization in a time-dependent vehicle routing problem: minimizing fuel consumption. Optim. Lett. 11 (1) (2017)
Parham Aarabi, Narges Norouzi, Jack Wu, Michael Spears
7 surprising lessons learned from teaching iOS programming to 30, 000+ MOOC students. FIE (2016)
Narges Norouzi, Parham Aarabi, Taylor Dear, Sally Carver, Simon Bromberg, Mel Kahan, Sara Gray, Bjug Borgundvaag
Empirical mode decomposition analysis of alcohol withdrawal tremor signals. GlobalSIP (2016)
Parham Aarabi, Narges Norouzi, Taylor Dear, Sally Carver, Simon Bromberg, Sara Gray, Mel Kahan, Bjug Borgundvaag
A quantitative evaluation of alcohol withdrawal tremors. EMBC (2015)
Sally Carver, Narges Norouzi, Simon Bromberg, Sara Gray, Mel Kahan, Parham Aarabi, Bjug Borgundvaag
Time-frequency visualization of alcohol withdrawal tremors. EMBC (2014)
Narges Norouzi, Parham Aarabi
Multi-channel heart-beat detection. GlobalSIP (2013)