Gautam Biswas

ORCID

Publication Activity (10 Years)

Years Active: 1981-2024
Publications (10 Years): 122

Top Venues

Publications

Clayton Cohn, Nicole Hutchins, Tuan Le, Gautam Biswas
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science. AAAI (2024)
Cai-Ting Wen, Chen-Chung Liu, Ching-Yuan Li, Ming-Hua Chang, Shih-Hsun Fan Chiang, Hung-Ming Lin, Fu-Kwun Hwang, Gautam Biswas
The learning analytics of computational scientific modeling with self-explanation for subgoals and demonstration scaffolding. Comput. Educ. 215 (2024)
Clayton Cohn, Nicole Hutchins, Tuan Le, Gautam Biswas
A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students' Formative Assessment Responses in Science. CoRR (2024)
Joyce Horn Fonteles, Eduardo Davalos, T. S. Ashwin, Yike Zhang, Mengxi Zhou, Efrat Ayalon, Alicia Lane, Selena Steinberg, Gabriella Anton, Joshua A. Danish, Noel Enyedy, Gautam Biswas
A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments. AIED (2) (2024)
T. S. Ashwin, Gautam Biswas
Identifying and Mitigating Algorithmic Bias in Student Emotional Analysis. AIED (2) (2024)
Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas
Towards A Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis. CoRR (2024)
Joyce Horn Fonteles, Celestine E. Akpanoko, Pamela J. Wisniewski, Gautam Biswas
Promoting Equitable Learning Outcomes for Underserved Students in Open-Ended Learning Environments. IDC (2024)
Austin Coursey, Junyi Ji, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel B. Work
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection. CoRR (2024)
Joyce Horn Fonteles, Eduardo Davalos, Ashwin T. S., Yike Zhang, Mengxi Zhou, Efrat Ayalon, Alicia Lane, Selena Steinberg, Gabriella Anton, Joshua A. Danish, Noel Enyedy, Gautam Biswas
A First Step in Using Machine Learning Methods to Enhance Interaction Analysis for Embodied Learning Environments. CoRR (2024)
Timothy Darrah, Jeremy Frank, Marcos Quiñones-Grueiro, Gautam Biswas
An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments. ICAART (1) (2024)
Yuhang Zhang, Zhiyao Zhang, Marcos Quiñones-Grueiro, William Barbour, Clay Weston, Gautam Biswas, Daniel B. Work
Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers. CoRR (2024)
Caitlin Snyder, Nicole M. Hutchins, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas
Analyzing Students Collaborative Problem-Solving Behaviors in Synergistic STEM+C Learning. LAK (2024)
James C. Lester, Mohit Bansal, Gautam Biswas, Cindy E. Hmelo-Silver, Jeremy Roschelle, Jonathan P. Rowe
The AI Institute for Engaged Learning. AI Mag. 45 (1) (2024)
Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas
Towards a Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis. AIED Companion (2) (2024)
Zhiyao Zhang, George Gunter, Marcos Quiñones-Grueiro, Yuhang Zhang, William Barbour, Gautam Biswas, Daniel B. Work
Phase Re-service in Reinforcement Learning Traffic Signal Control. CoRR (2024)
Nicole M. Hutchins, Gautam Biswas
Co-designing teacher support technology for problem-based learning in middle school science. Br. J. Educ. Technol. 55 (3) (2024)
Elizabeth B. Cloude, Anabil Munshi, Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas
Exploring Confusion and Frustration as Non-linear Dynamical Systems. LAK (2024)
Zhiyao Zhang, Marcos Quiñones-Grueiro, William Barbour, Yuhang Zhang, Gautam Biswas, Daniel B. Work
Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study. ITSC (2023)
Yuhang Zhang, Marcos Quiñones-Grueiro, Zhiyao Zhang, Yanbing Wang, William Barbour, Gautam Biswas, Daniel B. Work
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits. CoRR (2023)
Eduardo Davalos, Caleb Vatral, Clayton Cohn, Joyce Horn Fonteles, Gautam Biswas, Naveeduddin Mohammed, Madison Lee, Daniel T. Levin
Identifying Gaze Behavior Evolution via Temporal Fully-Weighted Scanpath Graphs. LAK (2023)
Austin Coursey, Marcos Quiñones-Grueiro, Gautam Biswas, Timothy Darrah
Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders. CoDIT (2023)
Eduardo Davalos, Umesh Timalsina, Yike Zhang, Jiayi Wu, Joyce Horn Fonteles, Gautam Biswas
ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing. BigData (2023)
Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas
Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems. CoRR (2023)
Austin Coursey, Marcos Quiñones-Grueiro, Gautam Biswas
On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data. SMARTCOMP (2023)
Anabil Munshi, Gautam Biswas, Ryan Baker, Jaclyn Ocumpaugh, Stephen Hutt, Luc Paquette
Analysing adaptive scaffolds that help students develop self-regulated learning behaviours. J. Comput. Assist. Learn. 39 (2) (2023)
Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas
A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances. CoRR (2023)
Yuhang Zhang, Marcos Quiñones-Grueiro, William Barbour, Zhiyao Zhang, Joshua Scherer, Gautam Biswas, Daniel B. Work
Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control. SMARTCOMP (2023)
Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas
Model-Based Adaptation for Sample Efficient Transfer in Reinforcement Learning Control of Parameter-Varying Systems. CoDIT (2023)
Caleb Vatral, Madison Lee, Clayton Cohn, Eduardo Davalos, Daniel T. Levin, Gautam Biswas
Prediction of Students' Self-confidence Using Multimodal Features in an Experiential Nurse Training Environment. AIED (Posters/Late Breaking Results/...) (2023)
Nicole Hutchins, Gautam Biswas
Using Teacher Dashboards to Customize Lesson Plans for a Problem-Based, Middle School STEM Curriculum. LAK (2023)
Caleb Vatral, Gautam Biswas, Benjamin Goldberg
A Theoretical Framework for Multimodal Learner Modeling and Performance Analysis in Experiential Learning Environments. AI-GEL@AIED (2023)
Yuhang Zhang, Marcos Quiñones-Grueiro, William Barbour, Clay Weston, Gautam Biswas, Dan Work
Quantifying the impact of driver compliance on the effectiveness of variable speed limits and lane control systems. ITSC (2022)
Keith Cochran, Clayton Cohn, Nicole Hutchins, Gautam Biswas, Peter M. Hastings
Improving Automated Evaluation of Formative Assessments with Text Data Augmentation. AIED (1) (2022)
Caitlin Snyder, Cai-Ting Wen, Gautam Biswas
Assessing Students' Knowledge Co-construction Behaviors in a Collaborative Computational Modeling Environment. AIED (2) (2022)
Ningyu Zhang, Gautam Biswas, Nicole Hutchins
Measuring and Analyzing Students' Strategic Learning Behaviors in Open-Ended Learning Environments. Int. J. Artif. Intell. Educ. 32 (4) (2022)
Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas
Data-Driven Learning Control for Building Energy Management. ACC (2022)
Anabil Munshi, Gautam Biswas
Analyzing Adaptive Scaffolds that Help Students Develop Self-Regulated Learning Behaviors. CoRR (2022)
Caleb Vatral, Gautam Biswas, Clayton Cohn, Eduardo Davalos, Naveeduddin Mohammed
Using the DiCoT framework for integrated multimodal analysis in mixed-reality training environments. Frontiers Artif. Intell. 5 (2022)
Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas
Concurrent Policy Blending and System Identification for Generalized Assistive Control. ICRA (2022)
Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas
Concurrent Policy Blending and System Identification for Generalized Assistive Control. CoRR (2022)
Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas
Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study. CCTA (2022)
Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas
Affect-Targeted Interviews for Understanding Student Frustration. AIED (1) (2021)
Hussain M. Mustafa, Mohini Bariya, K. S. Sajan, Ajay Chhokra, A. Srivastava, Abhishek Dubey, Alexandra von Meier, Gautam Biswas
RT-METER: a real-time, multi-layer cyber-power testbed for resiliency analysis. MSCPES@CPSIoTWeek (2021)
Caleb Vatral, Naveeduddin Mohammed, Gautam Biswas
A Machine Learning-Based External Assessment Engine for GIFT to Support Team Training in Dismounted Battle Drill Operations. TTW@AIED (2021)
Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas
Transfer reinforcement learning for fault-tolerant control by re-using optimal policies. SysTol (2021)
Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Anabil Munshi, Nigel Bosch, Ryan S. Baker, Yingbin Zhang, Luc Paquette, Stefan Slater, Gautam Biswas
Who's Stopping You? - Using Microanalysis to Explore the Impact of Science Anxiety on Self-Regulated Learning Operations. CogSci (2021)
Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Gautam Biswas, Anabil Munshi
Can Strategic Behaviour Facilitate Confusion Resolution? The Interplay Between Confusion and Metacognitive Strategies in Betty's Brain. J. Learn. Anal. 8 (3) (2021)
Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas
. SysTol (2021)
Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas
Sensitivity and robustness of end-to-end data-driven approach for building performance optimization. BuildSys@SenSys (2021)
Stephen Hutt, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Nigel Bosch, Luc Paquette, Gautam Biswas, Ryan Baker
Sharpest Tool in the Shed: Investigating SMART Models of Self-Regulation and their Impact on Learning. EDM (2021)
Mona Emara, Nicole Hutchins, Shuchi Grover, Caitlin Snyder, Gautam Biswas
Examining Student Regulation of Collaborative, Computational, Problem-Solving Processes in Open-Ended Learning Environments. J. Learn. Anal. 8 (1) (2021)
Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas
Students' Verbalized Metacognition During Computerized Learning. CHI (2021)
Anabil Munshi, Shitanshu Mishra, Ningyu Zhang, Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas
Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments. AIED (1) (2020)
Bernard Yett, Nicole Hutchins, Gordon Stein, Hamid Zare, Caitlin Snyder, Gautam Biswas, Mary Metelko, Ákos Lédeczi
A Hands-On Cybersecurity Curriculum Using a Robotics Platform. SIGCSE (2020)
Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas
Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning. CoRR (2020)
Nicole Hutchins, Gautam Biswas, Rachel Wolf, Doris B. Chin, Shuchi Grover, Kristen Pilner Blair
Computational Thinking in Support of Learning and Transfer. ICLS (2020)
Kevin W. McElhaney, Ningyu Zhang, Satabdi Basu, Elizabeth A. McBride, Gautam Biswas, Jennie Chiu
Using Computational Modeling to Integrate Science and Engineering Curricular Activities. ICLS (2020)
Gautam Biswas, Ramkumar Rajendran, Naveeduddin Mohammed, Benjamin S. Goldberg, Robert A. Sottilare, Keith Brawner, Michael Hoffman
Multilevel Learner Modeling in Training Environments for Complex Decision Making. IEEE Trans. Learn. Technol. 13 (1) (2020)
Wenfeng Zhang, Gautam Biswas, Qi Zhao, Hongbo Zhao, Wenquan Feng
Knowledge distilling based model compression and feature learning in fault diagnosis. Appl. Soft Comput. 88 (2020)
Bernard Yett, Nicole Hutchins, Caitlin Snyder, Ningyu Zhang, Shitanshu Mishra, Gautam Biswas
Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects. AIED (2) (2020)
Xiaoman Zi, Shiyao Li, Roxanne Rashedi, Marian Rushdy, Ben Lane, Shitanshu Mishra, Gautam Biswas, Amy Swanson, Amy Kinsman, Nicole Bardett, Zachary Warren, Pablo Juárez, Maithilee Kunda
Adapting Educational Technologies Across Learner Populations: A Usability Study with Adolescents on the Autism Spectrum. CogSci (2020)
Daniel Jung, Yi Dong, Erik Frisk, Mattias Krysander, Gautam Biswas
Sensor selection for fault diagnosis in uncertain systems. Int. J. Control 93 (3) (2020)
Yasmin B. Kafai, Gautam Biswas, Nicole Hutchins, Caitlin Snyder, Karen Brennan, Paulina Haduong, Kayla DesPortes, Morgan Fong, Virginia J. Flood, Oia Walker-van Aalst, David DeLiema, Deborah A. Fields, Melissa S. Gresalfi, Corey E. Brady, Selena Steinberg, Madison Knowe, Diana Franklin, Merijke Coenraad, David Weintrop, Donna Eatinger, Jen Palmer, Michelle Hoda Wilkerson, Collette Roberto, Nicole Bulalacao, Joshua A. Danish
Turning Bugs into Learning Opportunities: Understanding Debugging Processes, Perspectives, and Pedagogies. ICLS (2020)
Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control. CoRR (2020)
Yingbin Zhang, Luc Paquette, Ryan S. Baker, Jaclyn Ocumpaugh, Nigel Bosch, Anabil Munshi, Gautam Biswas
The relationship between confusion and metacognitive strategies in Betty's Brain. LAK (2020)
Kshitij Sharma, Shitanshu Mishra, Zacharoula K. Papamitsiou, Anabil Munshi, Bikram Kumar De, Gautam Biswas, Michail N. Giannakos
Towards Obtaining Facial Proxies for Gaze behaviour in TEL. ICLS (2020)
Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings. CoRR (2020)
Nicole M. Hutchins, Gautam Biswas, Ningyu Zhang, Caitlin Snyder, Ákos Lédeczi, Miklós Maróti
Domain-Specific Modeling Languages in Computer-Based Learning Environments: a Systematic Approach to Support Science Learning through Computational Modeling. Int. J. Artif. Intell. Educ. 30 (4) (2020)
Ningyu Zhang, Gautam Biswas, Kevin W. McElhaney, Satabdi Basu, Elizabeth A. McBride, Jennifer L. Chiu
Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment. AIED (1) (2020)
Shuchi Grover, Gautam Biswas, Amanda Dickes, Amy Voss Farris, Pratim Sengupta, Beth Covitt, Kristin Gunckel, Alan Berkowitz, John Moore, Golnaz Arastoopour Irgens, Michael Horn, Uri Wilensky, Shari Metcalf, Soobin Jeon, Chris Dede, Gillian Puttick, Debra Bernstein, Kristen B. Wendell, Ethan Danahy, Michael Cassidy, Fayette Shaw, Daniel Damelin, Steve Roderick, A. Lynn Stephens, Namsoo Shin, Irene A. Lee, Emma Anderson, Ximena Dominguez, Phil Vahey, Aman Yadav, Kathryn Rich, Christina V. Schwarz, Rachel A. Larimore, Paulo Blikstein
Integrating STEM and Computing in PK-12: Operationalizing Computational Thinking for STEM Learning and Assessment. ICLS (2020)
Caitlin Snyder, Nicole M. Hutchins, Gautam Biswas, Mona Emara, Bernard Yett, Shitanshu Mishra
Understanding Collaborative Question Posing During Computational Modeling in Science. AIED (2) (2020)
Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shitanshu Mishra, Mona Emara
Exploring Synergistic Learning Processes Through Collaborative Learner-to-Learner Questioning. ICLS (2020)
Luke Conlin, Nicole Hutchins, Shuchi Grover, Gautam Biswas
"Doing Physics" And "Doing Code": Students' Framing During Computational Modeling in Physics. ICLS (2020)
Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker
Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment. ICQE (2020)
Ibrahim Ahmed, Hamed Khorasgani, Gautam Biswas
Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control. CoRR (2020)
Roxanne Rashedi, Kemberlee Bonnet, Rebecca Schulte, David Schlundt, Amy Swanson, Amy Kinsman, Nicole Bardett, Zachary Warren, Pablo Juárez, Gautam Biswas, Maithilee Kunda
Opportunities and Challenges in Developing Technology-Based Social Skills Interventions for Youth With Autism Spectrum Disorder: A Qualitative Analysis of Parent Perspectives. ICLS (2020)
Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning. CoRR (2020)
Mona Emara, Shuchi Grover, Nicole Hutchins, Gautam Biswas, Caitlin Snyder
Examining Students' Debugging and Regulation Processes During Collaborative Computational Modeling in Science. ICLS (2020)
Bernard Yett, Caitlin Snyder, Nicole Hutchins, Gautam Biswas
Exploring the Relationship Between Collaborative Discourse, Programming Actions, and Cybersecurity and Computational Thinking Knowledge. TALE (2020)
Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Mona Emara, Shuchi Grover, Luke Conlin
Analyzing Students' Synergistic Learning Processes in Physics and CT by Collaborative Discourse Analysis. CSCL (2019)
Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang, Shamya Karumbaiah, Nigel Bosch, Anabil Munshi, Allison L. Moore, Gautam Biswas
Affect Sequences and Learning in Betty's Brain. LAK (2019)
Mayank S. Jha, Didier Theilliol, Gautam Biswas, Philippe Weber
Approximate Q-learning approach for Health Aware Control Design. SysTol (2019)
Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shuchi Grover
Understanding Students' Model Building Strategies Through Discourse Analysis. AIED (2) (2019)
Nicole Hutchins, Gautam Biswas, Shuchi Grover, Satabdi Basu, Caitlin Snyder
A Systematic Approach for Analyzing Students' Computational Modeling Processes in C2STEM. AIED (2) (2019)
Avisek Naug, Ibrahim Ahmed, Gautam Biswas
Online Energy Management in Commercial Buildings using Deep Reinforcement Learning. SMARTCOMP (2019)
Ningyu Zhang, Gautam Biswas, Jennifer L. Chiu, Kevin W. McElhaney
Analyzing Students' Design Solutions in an NGSS-Aligned Earth Sciences Curriculum. AIED (1) (2019)
Ákos Lédeczi, Miklós Maróti, Hamid Zare, Bernard Yett, Nicole Hutchins, Brian Broll, Péter Völgyesi, Michael B. Smith, Timothy Darrah, Mary Metelko, Xenofon D. Koutsoukos, Gautam Biswas
Teaching Cybersecurity with Networked Robots. SIGCSE (2019)
Gautam Biswas, Nicole Hutchins, Ákos Lédeczi, Shuchi Grover, Satabdi Basu
Integrating Computational Modeling in K-12 STEM Classrooms. SIGCSE (2019)
Anabil Munshi, Gautam Biswas
Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes. AIED (2) (2019)
Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection? AIED (1) (2018)
Nicole Hutchins, Gautam Biswas, Miklos Maroti, Ákos Lédeczi, Brian Broll
A Design-Based Approach to a Classroom-Centered OELE. AIED (2) (2018)
Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Allison L. Moore, Gautam Biswas
Studying the Interactions between Components of Self Regulated Learning in Open Ended Learning Environments. ICLS (2018)
Ningyu Zhang, Gautam Biswas
Understanding Students' Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment. AIED (2) (2018)
Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Gautam Biswas, Ryan S. Baker, Luc Paquette
Modeling Learners' Cognitive and Affective States to Scaffold SRL in Open-Ended Learning Environments. UMAP (2018)
Satabdi Basu, Kevin W. McElhaney, Shuchi Grover, Christopher J. Harris, Gautam Biswas
A Principled Approach to Designing Assessments That Integrate Science and Computational Thinking. ICLS (2018)
Avisek Naug, Gautam Biswas
Data Driven Methods for Energy Reduction in Large Buildings. SMARTCOMP (2018)
Ramkumar Rajendran, Anurag Kumar, Kelly E. Carter, Daniel T. Levin, Gautam Biswas
Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. EDM (2018)
Michelle Taub, Nicholas V. Mudrick, Ramkumar Rajendran, Yi Dong, Gautam Biswas, Roger Azevedo
How Are Students' Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs? ITS (2018)
Hamed Khorasgani, Gautam Biswas
A methodology for monitoring smart buildings with incomplete models. Appl. Soft Comput. 71 (2018)
Hamed Khorasgani, Gautam Biswas
Structural Fault Detection and Isolation in Hybrid Systems. IEEE Trans Autom. Sci. Eng. 15 (4) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gautam Biswas