Narges Norouzi

According to our database, Narges Norouzi authored at least 46 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Knowledge-Component-Based Methodology for Evaluating AI Assistants.

Laryn Qi, J. D. Zamfirescu-Pereira, Taehan Kim, Björn Hartmann, John DeNero, Narges Norouzi

CoRR, 2024

61A-Bot: AI homework assistance in CS1 is fast and cheap - but is it helpful?

J. D. Zamfirescu-Pereira, Laryn Qi, Björn Hartmann, John DeNero, Narges Norouzi

CoRR, 2024

Supporting Mastery Learning with Flexible Extensions.

Yuerou Tang, Jacob Yim, Jordan Schwartz, Madison Bohannan, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Automated Support for Flexible Extensions.

Jordan Schwartz, Madison Bohannan, Jacob Yim, Yuerou Tang, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises.

Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums.

Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in Interactive Lecture Participation Exercises.

Mihran Miroyan, Shiny Weng, Rahul Shah, Lisa Yan, Narges Norouzi

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Towards Attention-Based Automatic Misconception Identification in Introductory Programming Courses.

Muntasir Hoq, Jessica Vandenberg, Bradford W. Mott, James C. Lester, Narges Norouzi, Bita Akram

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Data Science Mastery Learning Using Parsons Problems-Inspired Table Transformations.

Jacob Seungwon Choe, Matthew G. Lee, Siddharth A. Marathe, Armando Fox, Dan Garcia, Narges Norouzi

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

AI in Computing Education from Research to Practice.

Bita Akram, Juho Leinonen, Narges Norouzi, James Prather, Lisa Zhang

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

How Instructors Incorporate Generative AI into Teaching Computing.

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

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers.

Narges Norouzi, Svetlana Orlova, Daan de Geus, Gijs Dubbelman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums.

Chancharik Mitra, Mihran Miroyan, Rishi Jain, Vedant Kumud, Gireeja Ranade, Narges Norouzi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis.

Michael Briden, Narges Norouzi

Biol. Cybern., October, 2023

Developing a Tool to Automate Extensions to Support a Flexible Extension Policy.

Jordan Schwartz, Madison Bohannan, Jacob Yim, Yuerou Tang, Dana Benedicto, Charisse Liu, Armando Fox, Lisa Yan, Narges Norouzi

CoRR, 2023

Evaluation of the Impact of Modality for Equity Program.

Narges Norouzi, Carmen Robinson

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

FEDD - Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification.

Héctor Carrión, Narges Norouzi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

An Equity-minded Multi-dimensional Framework for Exploring the Dynamics of Sense of Belonging in an Introductory CS Course.

Narges Norouzi, Hamidreza Habibi, Carmen Robinson, Anna Sher

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

WoundNet: A Domain-Adaptable Few-Shot Classification Framework for Wound Healing Assessment.

Anirudh Potlapally, Shubham Mahajan, Michael Briden, Harrison Shawa, Andrea Medina Lopez, Daniel Yoon, Amir Mazaheri, Hsinya Yang, Sara Dahle, Roslyn R. Isseroff, Narges Norouzi

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Uniform Selection And Representation Matching: A Framework For Classifying Wound Healing Stage.

Michael Briden, Narges Norouzi

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction.

Narges Norouzi, Amir Mazaheri

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Model AI Assignments 2023.

Todd W. Neller, Raechel Walker, Olivia Dias, Zeynep Yalçin, Cynthia Breazeal, Matthew E. Taylor, Michele Donini, Erin J. Talvitie, Charlie Pilgrim, Paolo Turrini, James Maher, Matthew Boutell, Justin Wilson, Narges Norouzi, Jonathan Scott

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SnapMode: An Intelligent and Distributed Large-Scale Fashion Image Retrieval Platform Based On Big Data and Deep Generative Adversarial Network Technologies.

Narges Norouzi, Reza Azmi, Sara Saberi Tehrani Moghadam, Maral Zarvani

CoRR, 2022

HealNet - Self-supervised Acute Wound Heal-Stage Classification.

Héctor Carrión, Mohammad Jafari, Hsin-Ya Yang, Roslyn Rivkah Isseroff, Marco Rolandi, Marcella Gomez, Narges Norouzi

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis.

Michael Briden, Narges Norouzi

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Fine-grained Cross-Layer Attention Framework for Wound Stage Classification.

Keval Nagda, Michael Briden, Narges Norouzi

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

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.

Narges Norouzi, Reza Azmi, Nooshin Noshiri, Robab Anbiaee

CoRR, 2021

Baskin Engineering Excellence Scholars Bridge Program: Planning, Implementation, and Evaluation.

Narges Norouzi, Carmen Robinson, Rebecca Covarrubias, Ruby Hernandez, Danay Weldegabriel, Gwynn Benner, Wenjuan Sang, Rafael Espericueta

Proceedings of the IEEE Frontiers in Education Conference, 2021

An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images.

Sherry Lin, Narges Norouzi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience.

Michael Briden, Narges Norouzi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

EEG Data Analysis for Intellectual Developmental Disorder.

Kyle Oda, Narges Norouzi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Successful Interventions to Eliminate Achievement Gaps in STEM Courses.

Tracy Larrabee, Narges Norouzi, Carmen Robinson, Jenny Quynn

Proceedings of the Research on Equity and Sustained Participation in Engineering, 2020

Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students.

Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Model AI Assignments 2020.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

PokerBot: Hand Strength Reinforcement Learning.

Angela Ramirez, Solomon Reinman, Narges Norouzi

Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

Sequential Image Synthesis for Human Activity Video Generation.

Fahim Hasan Khan, Akila de Silva, Jayanth Yetukuri, Narges Norouzi

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Video Manipulation Detection via Recurrent Residual Feature Learning Networks.

Matthew J. Howard, Alexander S. Williamson, Narges Norouzi

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

KB-NLG: From Knowledge Base to Natural Language Generation.

Wen Cui, Minghui Zhou, Rongwen Zhao, Narges Norouzi

Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

2018

Quantitative Evaluation of Student Engagement in a Large-Scale Introduction to Programming Course using a Cloud-based Automatic Grading System.

Narges Norouzi, Ryan Hausen

Proceedings of the IEEE Frontiers in Education Conference, 2018

2017

Modified particle swarm optimization in a time-dependent vehicle routing problem: minimizing fuel consumption.

Narges Norouzi, Mohsen Sadegh Amal Nick, Reza Tavakkoli-Moghaddam

Optim. Lett., 2017

Evaluation of alcohol intoxication and withdrawal syndromes based on analysis of tremor signals.

Narges Norouzi, Sally Carver, Taylor Dear, Simon Bromberg, Sara Gray, Mel Kahan, Parham Aarabi, Bjug Borgundvaag

Biomed. Signal Process. Control., 2017

2016

Empirical mode decomposition analysis of alcohol withdrawal tremor signals.

Narges Norouzi, Parham Aarabi, Taylor Dear, Sally Carver, Simon Bromberg, Mel Kahan, Sara Gray, Bjug Borgundvaag

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

7 surprising lessons learned from teaching iOS programming to 30, 000+ MOOC students.

Parham Aarabi, Narges Norouzi, Jack Wu, Michael Spears

Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016

2015

A quantitative evaluation of alcohol withdrawal tremors.

Parham Aarabi, Narges Norouzi, Taylor Dear, Sally Carver, Simon Bromberg, Sara Gray, Mel Kahan, Bjug Borgundvaag

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Time-frequency visualization of alcohol withdrawal tremors.

Sally Carver, Narges Norouzi, Simon Bromberg, Sara Gray, Mel Kahan, Parham Aarabi, Bjug Borgundvaag

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Multi-channel heart-beat detection.

Narges Norouzi, Parham Aarabi

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013