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2020 – today
- 2025
[c50]Rose Niousha, Lexie Jingruo Guo, Rick Kaifeng Li, Narges Norouzi, Lisa Zhang:
Comparing Artificial Intelligence Curricula in Canadian and US Universities. AAAI 2025: 29053-29061- [c49]Mihran Miroyan
, Chancharik Mitra, Rishi Jain, Gireeja Ranade, Narges Norouzi:
Analyzing Pedagogical Quality and Efficiency of LLM Responses with TA Feedback to Live Student Questions. SIGCSE (1) 2025: 770-776 - [c48]J. D. Zamfirescu-Pereira, Laryn Qi, Björn Hartmann, John DeNero, Narges Norouzi:
61A Bot Report: AI Assistants in CS1 Save Students Homework Time and Reduce Demands on Staff. (Now What?). SIGCSE (1) 2025: 1309-1315 - [c47]Connor Robert Bernard, Melissa Fabros, Zhifei Li, Narges Norouzi, Daniel D. Garcia, Armando Fox:
Checkpoint: A Tool for Supporting Terminal-Based Capture-the-Flag Assessments. SIGCSE (2) 2025: 1385-1386 - [c46]Noemi Chulo, Gabriel Classon, Ashley Chiu, Dan Garcia, Armando Fox, Narges Norouzi:
Dynamic, Randomizable, Autogradable Visual Programming Simulations for Python Using Prairielearn. SIGCSE (2) 2025: 1419-1420 - [c45]Eldar Hasanov, Dev Ahluwalia, Dan Garcia, Narges Norouzi, Armando Fox:
An Interactive Tool for Randomized Autogradable Graph Assessments. SIGCSE (2) 2025: 1471-1472 - [c44]Meenakshi Mittal, Azalea Bailey, Victoria Phelps, Mihran Miroyan, Chancharik Mitra, Rishi Jain, Rose Niousha, Gireeja Ranade, Narges Norouzi:
Raising the Bar: Automating Consistent and Equitable Student Support with LLMs. SIGCSE (2) 2025: 1549-1550 - [c43]Rose Niousha, Abigail O'Neill, Ethan Chen, Vedansh Malhotra, Bita Akram, Narges Norouzi:
LLM-KCI: Leveraging Large Language Models to Identify Programming Knowledge Components. SIGCSE (2) 2025: 1557-1558 - [c42]Abby O'Neill, Samantha Smith, Aneesh Durai, John DeNero, J. D. Zamfirescu-Pereira, Narges Norouzi:
From Code to Concepts: Textbook-Driven Knowledge Tracing with LLMs in CS1. SIGCSE (2) 2025: 1565-1566 - [c41]Samantha Boatright Smith, Heather Wei, Abby O'Neill, Aneesh Durai, John DeNero, J. D. Zamfirescu-Pereira, Narges Norouzi:
Spotting AI Missteps: Students Take on LLM Errors in CS1. SIGCSE (2) 2025: 1627-1628 - [c40]Abby O'Neill, Stella Kaval, Mallika Reddy, Alvaro Monge, Colleen M. Lewis, Narges Norouzi:
Launching and Enhancing Summer Bridge Programs. SIGCSE (2) 2025: 1725 - [i11]Tommie Kerssies, Niccolò Cavagnero, Alexander Hermans, Narges Norouzi, Giuseppe Averta, Bastian Leibe, Gijs Dubbelman, Daan de Geus:
Your ViT is Secretly an Image Segmentation Model. CoRR abs/2503.19108 (2025) - 2024
- [c39]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: 23215-23223 - [c38]Narges Norouzi, Svetlana Orlova, Daan de Geus, Gijs Dubbelman:
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers. CVPR 2024: 15773-15782 - [c37]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 - [c36]James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Vee Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith, Sven Strickroth, Daniel Zingaro:
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. ITiCSE-WGR 2024: 300-338 - [c35]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: 860-866 - [c34]Bita Akram, Juho Leinonen, Narges Norouzi, James Prather, Lisa Zhang:
AI in Computing Education from Research to Practice. SIGCSE (2) 2024: 1521-1522 - [c33]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: 1604-1605 - [c32]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: 1680-1681 - [c31]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: 1752-1753 - [c30]Rose Niousha, Muntasir Hoq, Bita Akram, Narges Norouzi:
Use of Large Language Models for Extracting Knowledge Components in CS1 Programming Exercises. SIGCSE (2) 2024: 1762-1763 - [c29]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: 1810-1811 - [c28]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: 1834-1835 - [i10]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 abs/2406.05600 (2024) - [i9]Laryn Qi, J. D. Zamfirescu-Pereira, Taehan Kim, Björn Hartmann, John DeNero, Narges Norouzi:
A Knowledge-Component-Based Methodology for Evaluating AI Assistants. CoRR abs/2406.05603 (2024) - [i8]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 abs/2406.09936 (2024) - [i7]James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Vee Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro:
Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. CoRR abs/2412.14732 (2024) - 2023
- [j3]Michael Briden, Narges Norouzi:
Toward metacognition: subject-aware contrastive deep fusion representation learning for EEG analysis. Biol. Cybern. 117(4): 363-372 (2023) - [c27]Narges Norouzi, Amir Mazaheri:
Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction. AAAI 2023: 15938-15946 - [c26]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:
Model AI Assignments 2023. AAAI 2023: 16104-16105 - [c25]Michael Briden, Narges Norouzi:
Uniform Selection And Representation Matching: A Framework For Classifying Wound Healing Stage. EMBC 2023: 1-4 - [c24]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: 1-5 - [c23]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: 131-137 - [c22]Héctor Carrión, Narges Norouzi:
FEDD - Fair, Efficient, and Diverse Diffusion-Based Lesion Segmentation and Malignancy Classification. MICCAI (7) 2023: 270-279 - [c21]Narges Norouzi, Carmen Robinson:
Evaluation of the Impact of Modality for Equity Program. SIGCSE (2) 2023: 1335 - [i6]Héctor Carrión, Narges Norouzi:
FEDD - Fair, Efficient, and Diverse Diffusion-based Lesion Segmentation and Malignancy Classification. CoRR abs/2307.11654 (2023) - [i5]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 abs/2311.00152 (2023) - [i4]Mihran Miroyan, Shiny Weng, Rahul Shah, Lisa Yan, Narges Norouzi:
EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in Interactive Lecture Participation Exercises. CoRR abs/2311.10746 (2023) - 2022
- [c20]Keval Nagda, Michael Briden, Narges Norouzi:
Fine-grained Cross-Layer Attention Framework for Wound Stage Classification. BHI 2022: 1-4 - [c19]Michael Briden, Narges Norouzi:
Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis. ICPR Workshops (1) 2022: 682-690 - [c18]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: 446-455 - [i3]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 abs/2204.03998 (2022) - [i2]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 abs/2206.10536 (2022) - 2021
- [c17]Kyle Oda, Narges Norouzi:
EEG Data Analysis for Intellectual Developmental Disorder. BIBM 2021: 3662-3666 - [c16]Michael Briden, Narges Norouzi:
WaveFusion Squeeze-and-Excitation: Towards an Accurate and Explainable Deep Learning Framework in Neuroscience. EMBC 2021: 1092-1095 - [c15]Sherry Lin, Narges Norouzi:
An Effective Deep Learning Framework for Cell Segmentation in Microscopy Images. EMBC 2021: 3201-3204 - [c14]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: 1-8 - [i1]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 abs/2110.10242 (2021) - 2020
- [c13]Narges Norouzi, Snigdha Chaturvedi, Matthew Rutledge:
Lessons Learned from Teaching Machine Learning and Natural Language Processing to High School Students. AAAI 2020: 13397-13403 - [c12]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: 13509-13511 - [c11]Tracy Larrabee, Narges Norouzi, Carmen Robinson, Jenny Quynn:
Successful Interventions to Eliminate Achievement Gaps in STEM Courses. RESPECT 2020: 1-4
2010 – 2019
- 2019
- [c10]Wen Cui, Minghui Zhou, Rongwen Zhao, Narges Norouzi:
KB-NLG: From Knowledge Base to Natural Language Generation. WNLP@ACL 2019: 80-82 - [c9]Matthew J. Howard, Alexander S. Williamson, Narges Norouzi:
Video Manipulation Detection via Recurrent Residual Feature Learning Networks. GlobalSIP 2019: 1-5 - [c8]Fahim Hasan Khan, Akila de Silva, Jayanth Yetukuri, Narges Norouzi:
Sequential Image Synthesis for Human Activity Video Generation. ICIAR (2) 2019: 129-133 - [c7]Angela Ramirez, Solomon Reinman, Narges Norouzi:
PokerBot: Hand Strength Reinforcement Learning. INISTA 2019: 1-6 - 2018
- [c6]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: 1-5 - 2017
- [j2]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: 83-87 (2017) - [j1]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): 121-134 (2017) - 2016
- [c5]Parham Aarabi, Narges Norouzi, Jack Wu, Michael Spears:
7 surprising lessons learned from teaching iOS programming to 30, 000+ MOOC students. FIE 2016: 1-4 - [c4]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: 90-93 - 2015
- [c3]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: 6215-6218 - 2014
- [c2]Sally Carver, Narges Norouzi, Simon Bromberg, Sara Gray, Mel Kahan, Parham Aarabi, Bjug Borgundvaag:
Time-frequency visualization of alcohol withdrawal tremors. EMBC 2014: 5474-5477 - 2013
- [c1]Narges Norouzi, Parham Aarabi:
Multi-channel heart-beat detection. GlobalSIP 2013: 739-742
Coauthor Index
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last updated on 2025-04-20 23:51 CEST by the dblp team
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