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Journal Articles
- 2024
[j94]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): 69-76 (2024)- [j93]Nicole M. Hutchins, Gautam Biswas:
Co-designing teacher support technology for problem-based learning in middle school science. Br. J. Educ. Technol. 55(3): 802-822 (2024) - [j92]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: 105043 (2024) - 2023
- [j91]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): 351-368 (2023) - 2022
- [j90]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): 931-970 (2022) - [j89]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) - 2021
- [j88]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): 49-74 (2021) - [j87]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): 28-44 (2021) - 2020
- [j86]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): 537-580 (2020) - [j85]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: 105958 (2020) - [j84]Daniel Jung, Yi Dong, Erik Frisk, Mattias Krysander, Gautam Biswas:
Sensor selection for fault diagnosis in uncertain systems. Int. J. Control 93(3): 629-639 (2020) - [j83]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): 172-185 (2020) - 2018
- [j82]Hamed Khorasgani, Gautam Biswas:
A methodology for monitoring smart buildings with incomplete models. Appl. Soft Comput. 71: 396-406 (2018) - [j81]Daniel L. C. Mack, Gautam Biswas, Hamed Khorasgani, Dinkar Mylaraswamy, Raj Bharadwaj:
Combining expert knowledge and unsupervised learning techniques for anomaly detection in aircraft flight data. Autom. 66(4): 291-307 (2018) - [j80]Mona Emara, Ramkumar Rajendran, Gautam Biswas, Mahmod Okasha, Adel Alsaeid Elbanna:
Do Students' Learning Behaviors Differ when they Collaborate in Open-Ended Learning Environments? Proc. ACM Hum. Comput. Interact. 2(CSCW): 49:1-49:19 (2018) - [j79]Hamed Khorasgani, Gautam Biswas:
Structural Fault Detection and Isolation in Hybrid Systems. IEEE Trans Autom. Sci. Eng. 15(4): 1585-1599 (2018) - 2017
- [j78]Daniel L. C. Mack, Gautam Biswas, Xenofon D. Koutsoukos, Dinkar Mylaraswamy:
Learning Bayesian Network Structures to Augment Aircraft Diagnostic Reference Models. IEEE Trans Autom. Sci. Eng. 14(1): 358-369 (2017) - [j77]John S. Kinnebrew, Stephen S. Killingsworth, Douglas B. Clark, Gautam Biswas, Pratim Sengupta, James Minstrell, Mario Martinez-Garza, Kara Krinks:
Contextual Markup and Mining in Digital Games for Science Learning: Connecting Player Behaviors to Learning Goals. IEEE Trans. Learn. Technol. 10(1): 93-103 (2017) - [j76]John S. Kinnebrew, James René Segedy, Gautam Biswas:
Integrating Model-Driven and Data-Driven Techniques for Analyzing Learning Behaviors in Open-Ended Learning Environments. IEEE Trans. Learn. Technol. 10(2): 140-153 (2017) - [j75]Satabdi Basu, Gautam Biswas, John S. Kinnebrew:
Learner modeling for adaptive scaffolding in a Computational Thinking-based science learning environment. User Model. User Adapt. Interact. 27(1): 5-53 (2017) - 2016
- [j74]Gautam Biswas, James René Segedy, Kritya Bunchongchit:
From Design to Implementation to Practice a Learning by Teaching System: Betty's Brain. Int. J. Artif. Intell. Educ. 26(1): 350-364 (2016) - [j73]Matthew J. Daigle, Aníbal Bregón, Xenofon D. Koutsoukos, Gautam Biswas, Belarmino Pulido:
A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition. Eng. Appl. Artif. Intell. 53: 190-206 (2016) - [j72]Hamed Khorasgani, Gautam Biswas, Shankar Sankararaman:
Methodologies for system-level remaining useful life prediction. Reliab. Eng. Syst. Saf. 154: 8-18 (2016) - [j71]Satabdi Basu, Gautam Biswas, Pratim Sengupta, Amanda Dickes, John S. Kinnebrew, Douglas B. Clark:
Identifying middle school students' challenges in computational thinking-based science learning. Res. Pract. Technol. Enhanc. Learn. 11(1): 13 (2016) - [j70]Gan Zhou, Gautam Biswas, Wenfeng Zhang, Qi Zhao, Wenquan Feng:
Comparison of state estimation techniques for nonlinear hybrid systems. Simul. 92(4): 357-376 (2016) - 2015
- [j69]Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas:
Model-Based Design of Tree WSNs for Decentralized Detection. Sensors 15(8): 20608-20647 (2015) - [j68]Faruk Caglar, Shashank Shekhar, Aniruddha S. Gokhale, Satabdi Basu, Tazrian Rafi, John S. Kinnebrew, Gautam Biswas:
Cloud-hosted simulation-as-a-service for high school STEM education. Simul. Model. Pract. Theory 58: 255-273 (2015) - 2014
- [j67]Aníbal Bregón, Matthew J. Daigle, Indranil Roychoudhury, Gautam Biswas, Xenofon D. Koutsoukos, Belarmino Pulido:
An event-based distributed diagnosis framework using structural model decomposition. Artif. Intell. 210: 1-35 (2014) - [j66]Belkacem Ould Bouamama, Gautam Biswas, Rui Loureiro, Rochdi Merzouki:
Graphical methods for diagnosis of dynamic systems: Review. Annu. Rev. Control. 38(2): 199-219 (2014) - [j65]Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas:
Cross-layer design for decentralized detection in WSNs. EURASIP J. Adv. Signal Process. 2014: 43 (2014) - [j64]James Segedy, Gautam Biswas, Brian Sulcer:
A Model-Based Behavior Analysis Approach for Open-Ended Environments. J. Educ. Technol. Soc. 17(1): 272-282 (2014) - [j63]Cheng Ye, Gautam Biswas:
Early Prediction of Student Dropout and Performance in MOOCs using Higher Granularity Temporal Information. J. Learn. Anal. 1(3): 169-172 (2014) - [j62]James René Segedy, John S. Kinnebrew, Gautam Biswas:
Using Coherence Analysis to Characterize Self-Regulated Learning Behaviours in Open-Ended Learning Environments. J. Learn. Anal. 2(1) (2014) - [j61]Aníbal Bregón, Gautam Biswas, Belarmino Pulido, Carlos Alonso González, Hamed Khorasgani:
A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems. IEEE Trans. Syst. Man Cybern. Syst. 44(7): 863-876 (2014) - 2013
- [j60]Gautam Biswas, Susan Bull:
Preface. Int. J. Artif. Intell. Educ. 22(1-2): 1-2 (2013) - [j59]Rod D. Roscoe, James Segedy, Brian Sulcer, Hogyeong Jeong, Gautam Biswas:
Shallow strategy development in a teachable agent environment designed to support self-regulated learning. Comput. Educ. 62: 286-297 (2013) - [j58]Pratim Sengupta, John S. Kinnebrew, Satabdi Basu, Gautam Biswas, Douglas B. Clark:
Integrating computational thinking with K-12 science education using agent-based computation: A theoretical framework. Educ. Inf. Technol. 18(2): 351-380 (2013) - [j57]Bert Bredeweg, Bruce M. McLaren, Gautam Biswas:
Guest Editorial: Special Section on Learning Systems for Science and Technology Education. IEEE Trans. Learn. Technol. 6(3): 194-196 (2013) - 2012
- [j56]Zhi-Hong Chen, Chih-Yueh Chou, Gautam Biswas, Tak-Wai Chan:
Substitutive competition: Virtual pets as competitive buffers to alleviate possible negative influence on pupils. Br. J. Educ. Technol. 43(2): 247-258 (2012) - [j55]Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas:
Aircraft Power Generators: Hybrid Modeling and Simulation for Fault Detection. IEEE Trans. Aerosp. Electron. Syst. 48(1): 552-571 (2012) - [j54]Aníbal Bregón, Gautam Biswas, Belarmino Pulido:
A Decomposition Method for Nonlinear Parameter Estimation in TRANSCEND. IEEE Trans. Syst. Man Cybern. Part A 42(3): 751-763 (2012) - [j53]Erik Frisk, Aníbal Bregón, Jan Åslund, Mattias Krysander, Belarmino Pulido, Gautam Biswas:
Diagnosability Analysis Considering Causal Interpretations for Differential Constraints. IEEE Trans. Syst. Man Cybern. Part A 42(5): 1216-1229 (2012) - 2011
- [j52]Roger Azevedo, Gautam Biswas, Dan Bohus, Ted Carmichael, Mark A. Finlayson, Mirsad Hadzikadic, Catherine Havasi, Eric Horvitz, Takayuki Kanda, Oluwasanmi Koyejo, William F. Lawless, Douglas B. Lenat, Felipe Meneguzzi, Bilge Mutlu, Jean Oh, Roberto Pirrone, Antoine Raux, Donald A. Sofge, Gita Sukthankar, Benjamin Van Durme:
Reports of the AAAI 2010 Fall Symposia. AI Mag. 32(1): 93-100 (2011) - [j51]Brant Stratman, Sankaran Mahadevan, Cen Li, Gautam Biswas:
Identification of critical inspection samples among railroad wheels by similarity-based agglomerative clustering. Integr. Comput. Aided Eng. 18(3): 203-219 (2011) - [j50]Indranil Roychoudhury, Matthew J. Daigle, Gautam Biswas, Xenofon D. Koutsoukos:
Efficient simulation of hybrid systems: A hybrid bond graph approach. Simul. 87(6): 467-498 (2011) - 2010
- [j49]Roger Azevedo, Trevor J. M. Bench-Capon, Gautam Biswas, Ted Carmichael, Nancy L. Green, Mirsad Hadzikadic, Oluwasanmi Koyejo, Unmesh Kurup, Simon Parsons, Roberto Pirrone, Henry Prakken, Alexei V. Samsonovich, Donia Scott, Richard Souvenir:
Reports of the AAAI 2009 Fall Symposia. AI Mag. 31(1): 88-94 (2010) - [j48]Gautam Biswas, Hogyeong Jeong, John S. Kinnebrew, Brian Sulcer, Rod D. Roscoe:
Measuring Self-Regulated Learning Skills through Social Interactions in a teachable Agent Environment. Res. Pract. Technol. Enhanc. Learn. 5(2): 123-152 (2010) - [j47]Peter Struss, Gregory M. Provan, Johan de Kleer, Gautam Biswas:
Special Issue on Model-Based Diagnostics. IEEE Trans. Syst. Man Cybern. Part A 40(5): 870-873 (2010) - [j46]Matthew J. Daigle, Indranil Roychoudhury, Gautam Biswas, Xenofon D. Koutsoukos, Ann Patterson-Hine, Scott Poll:
A Comprehensive Diagnosis Methodology for Complex Hybrid Systems: A Case Study on Spacecraft Power Distribution Systems. IEEE Trans. Syst. Man Cybern. Part A 40(5): 917-931 (2010) - 2009
- [j45]Bobby Bodenheimer, Betsy Williams, Mattie Ruth Kramer, Karun Viswanath, Ramya Balachandran, Kadira Belynne, Gautam Biswas:
Construction and Evaluation of Animated Teachable Agents. J. Educ. Technol. Soc. 12(3): 191-205 (2009) - [j44]Indranil Roychoudhury, Gautam Biswas, Xenofon D. Koutsoukos:
Designing Distributed Diagnosers for Complex Continuous Systems. IEEE Trans Autom. Sci. Eng. 6(2): 277-290 (2009) - [j43]Nishanth Shankaran, John S. Kinnebrew, Xenofon D. Koutsoukos, Chenyang Lu, Douglas C. Schmidt, Gautam Biswas:
An Integrated Planning and Adaptive Resource Management Architecture for Distributed Real-Time Embedded Systems. IEEE Trans. Computers 58(11): 1485-1499 (2009) - [j42]Matthew J. Daigle, Xenofon D. Koutsoukos, Gautam Biswas:
A Qualitative Event-Based Approach to Continuous Systems Diagnosis. IEEE Trans. Control. Syst. Technol. 17(4): 780-793 (2009) - 2008
- [j41]Krittaya Leelawong, Gautam Biswas:
Designing Learning by Teaching Agents: The Betty's Brain System. Int. J. Artif. Intell. Educ. 18(3): 181-208 (2008) - [j40]Gautam Biswas, Xenofon D. Koutsoukos:
Report on the Eighteenth International Workshop on Principles of Diagnosis (DX-07). AI Mag. 29(1): 95-96 (2008) - [j39]Gautam Biswas:
Diffie-Hellman technique: extended to multiple two-party keys and one multi-party key. IET Inf. Secur. 2(1): 12-18 (2008) - 2007
- [j38]Gaurav Tomar, Daniel Gerlach, Gautam Biswas, Norbert Alleborn, Ashutosh Sharma, Franz Durst, Samuel W. J. Welch, Antonio Delgado:
Two-phase electrohydrodynamic simulations using a volume-of-fluid approach. J. Comput. Phys. 227(2): 1267-1285 (2007) - [j37]Surya Dev Pathak, David M. Dilts, Gautam Biswas:
On the Evolutionary Dynamics of Supply Network Topologies. IEEE Trans. Engineering Management 54(4): 662-672 (2007) - [j36]Matthew J. Daigle, Xenofon D. Koutsoukos, Gautam Biswas:
Distributed Diagnosis in Formations of Mobile Robots. IEEE Trans. Robotics 23(2): 353-369 (2007) - [j35]Sriram Narasimhan, Gautam Biswas:
Model-Based Diagnosis of Hybrid Systems. IEEE Trans. Syst. Man Cybern. Part A 37(3): 348-361 (2007) - 2005
- [j34]Gautam Biswas, Krittaya Leelawong, Daniel L. Schwartz, Nancy Vye:
Learning By Teaching: A New Agent Paradigm For Educational Software. Appl. Artif. Intell. 19(3-4): 363-392 (2005) - [j33]Janos Sztipanovits, Gautam Biswas, Ken Frampton, Aniruddha S. Gokhale, Larry Howard, Gabor Karsai, Tak-John Koo, Xenofon D. Koutsoukos, Douglas C. Schmidt:
Introducing embedded software and systems education and advanced learning technology in an engineering curriculum. ACM Trans. Embed. Comput. Syst. 4(3): 549-568 (2005) - 2002
- [j32]Cen Li, Gautam Biswas, Mike B. Dale, Pat Dale:
Matryoshka: A HMM based temporal data clustering methodology for modeling system dynamics. Intell. Data Anal. 6(3): 281-308 (2002) - [j31]Pieter J. Mosterman, Gautam Biswas:
A Hybrid Modeling and Simulation Methodology for Dynamic Physical Systems. Simul. 78(1): 5-17 (2002) - [j30]Cen Li, Gautam Biswas:
A Bayesian approach for structural learning with hidden Markov models. Sci. Program. 10(3): 201-219 (2002) - [j29]Eric-Jan Manders, Lee A. Barford, Gautam Biswas:
An approach for fault detection and isolation in dynamic systems from distributed measurements. IEEE Trans. Instrum. Meas. 51(2): 235-240 (2002) - [j28]Cen Li, Gautam Biswas:
Unsupervised Learning with Mixed Numeric and Nominal Data. IEEE Trans. Knowl. Data Eng. 14(4): 673-690 (2002) - 2001
- [j27]Xudong Yu, Gautam Biswas, Jerry B. Weinberg:
MDS: An Integrated Architecture for Associational and Model-Based Diagnosis. Appl. Intell. 14(2): 179-195 (2001) - 2000
- [j26]Pieter J. Mosterman, Gautam Biswas:
A comprehensive methodology for building hybrid models of physical systems. Artif. Intell. 121(1-2): 171-209 (2000) - [j25]David J. Musliner, Barney Pell, Wolff Dobson, Kai Goebel, Gautam Biswas, Sheila A. McIlraith, Giuseppina C. Gini, Sven Koenig, Shlomo Zilberstein, Weixiong Zhang:
Reports on the AAAI Spring Symposia (March 1999). AI Mag. 21(2): 79-84 (2000) - [j24]Manton M. Matthews, Walter Pharr, Gautam Biswas, Harish Neelakandan:
USCSH: An Active Intelligent Assistance System. Artif. Intell. Rev. 14(1-2): 121-141 (2000) - [j23]Eric-Jan Manders, Gautam Biswas, Pieter J. Mosterman, Lee A. Barford, Robert Joel Barnett:
Signal interpretation for monitoring and diagnosis, a cooling system testbed. IEEE Trans. Instrum. Meas. 49(3): 503-508 (2000) - [j22]Sugato Bagchi, Gautam Biswas, Kazuhiko Kawamura:
Task planning under uncertainty using a spreading activation network. IEEE Trans. Syst. Man Cybern. Part A 30(6): 639-650 (2000) - 1999
- [j21]Pieter J. Mosterman, Gautam Biswas:
Diagnosis of continuous valued systems in transient operating regions. IEEE Trans. Syst. Man Cybern. Part A 29(6): 554-565 (1999) - 1998
- [j20]Gautam Biswas, Jerry B. Weinberg, Douglas H. Fisher:
ITERATE: a conceptual clustering algorithm for data mining. IEEE Trans. Syst. Man Cybern. Part C 28(2): 219-230 (1998) - 1997
- [j19]Ashraf Saad, Kazuhiko Kawamura, Gautam Biswas:
Performance Evaluation of Contract Net-Based Heterarchical Scheduling for Flexible Manufacturing Systems. Intell. Autom. Soft Comput. 3(3): 229-247 (1997) - [j18]Gautam Biswas, Ravi Kapadia, Xudong Yu:
Combined qualitative-quantitative steady-state diagnosis of continuous-valued systems. IEEE Trans. Syst. Man Cybern. Part A 27(2): 167-185 (1997) - 1996
- [j17]Gautam Biswas, Tamio Arai, Moenes Iskarous:
Intelligence group report. Robotics Auton. Syst. 18(1-2): 141-148 (1996) - [j16]Sugato Bagchi, Gautam Biswas, Kazuhiko Kawamura:
Interactive task planning under uncertainty and goal changes. Robotics Auton. Syst. 18(1-2): 157-167 (1996) - 1993
- [j15]Gautam Biswas, Stefanos Manganaris, Xudong Yu:
Extending Component Connection Modeling for Analyzing Complex Physical Systems. IEEE Expert 8(1): 48-57 (1993) - [j14]Douglas H. Fisher, Ling Xu, James R. Carnes, Yoram Reich, Steven J. Fenves, Jason Chen, Richard Shiavi, Gautam Biswas, Jerry B. Weinberg:
Applying AI Clustering to Engineering Tasks. IEEE Expert 8(6): 51-60 (1993) - 1992
- [j13]Neeraj Kaul, Gautam Biswas, Bharat L. Bhuva:
Multi-level qualitative reasoning applied to CMOS digital circuits. Artif. Intell. Eng. 7(3): 125-137 (1992) - 1990
- [j12]Prakash P. Shenoy, Gautam Biswas:
Belief functions and belief maintenance in artificial intelligence. Int. J. Approx. Reason. 4(5-6): 319-322 (1990) - [j11]Gautam Biswas, Xudong Yu, William J. Hagins, James C. Bezdek, John Strobel, Christopher G. St. C. Kendall, Robert L. Cannon:
Playmaker: a Knowledge-Based Approach to Characterizing hydrocarbon Plays. Int. J. Pattern Recognit. Artif. Intell. 4(3): 315-340 (1990) - 1989
- [j10]Prasanta K. Bose, Gautam Biswas, Adithya M. Rao Padala:
Globe-Trotter: an intelligent flight itinerary planner. IEEE Expert 4(2): 56-64 (1989) - 1988
- [j9]Gautam Biswas, Michael Oliff, Arun Sen:
An expert decision support system for production control. Decis. Support Syst. 4(2): 235-248 (1988) - [j8]Gautam Biswas, Tejwansh S. Anand:
Using the Dempster-shafer scheme in a diagnostic expert system shell. Int. J. Approx. Reason. 2(3): 328 (1988) - 1987
- [j7]Gautam Biswas, James C. Bezdek, Marisol Marques, Viswanath Subramanian:
Knowledge-assisted document retrieval: I. The natural-language interface. J. Am. Soc. Inf. Sci. 38(2): 83-96 (1987) - [j6]Gautam Biswas, James C. Bezdek, Viswanath Subramanian, Marisol Marques:
Knowledge-assisted document retrieval: II. The retrieval process. J. Am. Soc. Inf. Sci. 38(2): 97-110 (1987) - [j5]Gautam Biswas, Robert Abramczyk, Michael Oliff:
Oases: An Expert System for Operations Analysis the System for Cause Analysis. IEEE Trans. Syst. Man Cybern. 17(2): 133-145 (1987) - 1986
- [j4]James C. Bezdek, Gautam Biswas, Li-ya Huang:
Transitive Closures of Fuzzy Thesauri for Information-Retrieval Systems. Int. J. Man Mach. Stud. 25(3): 343-356 (1986) - 1985
- [j3]Arun Sen, Gautam Biswas:
Decision support systems: An expert systems approach. Decis. Support Syst. 1(3): 197-204 (1985) - 1984
- [j2]Gautam Biswas, Richard C. Dubes:
Some experiments in two-dimensional grammatical inference. Pattern Recognit. Lett. 2(3): 173-177 (1984) - 1981
- [j1]Gautam Biswas, Anil K. Jain, Richard C. Dubes:
Evaluation of Projection Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 3(6): 701-708 (1981)
Conference and Workshop Papers
- 2024
- [c229]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: 23182-23190 - [c228]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: 307-321 - [c227]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: 3-16 - [c226]Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas:
Towards a Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis. AIED Companion (2) 2024: 11-19 - [c225]T. S. Ashwin, Gautam Biswas:
Identifying and Mitigating Algorithmic Bias in Student Emotional Analysis. AIED (2) 2024: 89-103 - [c224]Austin Coursey, Allan Zhang, Marcos Quiñones-Grueiro, Gautam Biswas:
Hybrid Control Framework of UAVs Under Varying Wind and Payload Conditions. ACC 2024: 1543-1549 - [c223]Celestine E. Akpanoko, Ashwin T. S., Grayson Cordell, Gautam Biswas:
Investigating the Relations between Students' Affective States and the Coherence in their Activities in Open-Ended Learning Environments. EDM 2024 - [c222]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: 289-296 - [c221]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: 241-252 - [c220]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: 540-550 - 2023
- [c219]Caleb Vatral, Gautam Biswas, Benjamin Goldberg:
A Theoretical Framework for Multimodal Learner Modeling and Performance Analysis in Experiential Learning Environments. AI-GEL@AIED 2023: 68-78 - [c218]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: 266-271 - [c217]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. IEEE Big Data 2023: 201-206 - [c216]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Model-Based Adaptation for Sample Efficient Transfer in Reinforcement Learning Control of Parameter-Varying Systems. CoDIT 2023: 706-711 - [c215]Austin Coursey, Marcos Quiñones-Grueiro, Gautam Biswas, Timothy Darrah:
Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders. CoDIT 2023: 752-757 - [c214]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: 3215-3221 - [c213]Nicole Hutchins, Gautam Biswas:
Using Teacher Dashboards to Customize Lesson Plans for a Problem-Based, Middle School STEM Curriculum. LAK 2023: 324-332 - [c212]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: 476-487 - [c211]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: 149-156 - [c210]Austin Coursey, Marcos Quiñones-Grueiro, Gautam Biswas:
On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data. SMARTCOMP 2023: 164-171 - 2022
- [c209]Keith Cochran, Clayton Cohn, Nicole Hutchins, Gautam Biswas, Peter M. Hastings:
Improving Automated Evaluation of Formative Assessments with Text Data Augmentation. AIED (1) 2022: 390-401 - [c208]Caitlin Snyder, Cai-Ting Wen, Gautam Biswas:
Assessing Students' Knowledge Co-construction Behaviors in a Collaborative Computational Modeling Environment. AIED (2) 2022: 515-519 - [c207]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Data-Driven Learning Control for Building Energy Management. ACC 2022: 2571-2577 - [c206]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study. CCTA 2022: 1172-1177 - [c205]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Concurrent Policy Blending and System Identification for Generalized Assistive Control. ICRA 2022: 7499-7504 - [c204]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: 3638-3644 - 2021
- [c203]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: 17-25 - [c202]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: 52-63 - [c201]Nigel Bosch, Yingbin Zhang, Luc Paquette, Ryan Baker, Jaclyn Ocumpaugh, Gautam Biswas:
Students' Verbalized Metacognition During Computerized Learning. CHI 2021: 680:1-680:12 - [c200]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 - [c199]Hussain M. Mustafa, Mohini Bariya, K. S. Sajan, Ajay Chhokra, Anurag Srivastava, Abhishek Dubey, Alexandra von Meier, Gautam Biswas:
RT-METER: a real-time, multi-layer cyber-power testbed for resiliency analysis. MSCPES@CPSIoTWeek 2021: 8:1-8:7 - [c198]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 - [c197]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
Sensitivity and robustness of end-to-end data-driven approach for building performance optimization. BuildSys@SenSys 2021: 314-318 - [c196]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Transfer reinforcement learning for fault-tolerant control by re-using optimal policies. SysTol 2021: 25-30 - [c195]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Fault Tolerant Control combining Reinforcement Learning and Model-based Control *. SysTol 2021: 31-36 - 2020
- [c194]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: 296-300 - [c193]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: 352-357 - [c192]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: 411-422 - [c191]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: 598-609 - [c190]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 - [c189]Luke Conlin, Nicole Hutchins, Shuchi Grover, Gautam Biswas:
"Doing Physics" And "Doing Code": Students' Framing During Computational Modeling in Physics. ICLS 2020 - [c188]Mona Emara, Shuchi Grover, Nicole Hutchins, Gautam Biswas, Caitlin Snyder:
Examining Students' Debugging and Regulation Processes During Collaborative Computational Modeling in Science. ICLS 2020 - [c187]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 P. 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 - [c186]Nicole Hutchins, Gautam Biswas, Rachel Wolf, Doris B. Chin, Shuchi Grover, Kristen Pilner Blair:
Computational Thinking in Support of Learning and Transfer. ICLS 2020 - [c185]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 - [c184]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 - [c183]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 - [c182]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 - [c181]Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shitanshu Mishra, Mona Emara:
Exploring Synergistic Learning Processes Through Collaborative Learner-to-Learner Questioning. ICLS 2020 - [c180]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: 185-201 - [c179]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: 276-284 - [c178]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: 1040-1046 - [c177]Bernard Yett, Caitlin Snyder, Nicole Hutchins, Gautam Biswas:
Exploring the Relationship Between Collaborative Discourse, Programming Actions, and Cybersecurity and Computational Thinking Knowledge. TALE 2020: 213-220 - 2019
- [c176]Nicole Hutchins, Gautam Biswas, Shuchi Grover, Satabdi Basu, Caitlin Snyder:
A Systematic Approach for Analyzing Students' Computational Modeling Processes in C2STEM. AIED (2) 2019: 116-121 - [c175]Caitlin Snyder, Nicole Hutchins, Gautam Biswas, Shuchi Grover:
Understanding Students' Model Building Strategies Through Discourse Analysis. AIED (2) 2019: 263-268 - [c174]Anabil Munshi, Gautam Biswas:
Personalization in OELEs: Developing a Data-Driven Framework to Model and Scaffold SRL Processes. AIED (2) 2019: 354-358 - [c173]Ningyu Zhang, Gautam Biswas, Jennifer L. Chiu, Kevin W. McElhaney:
Analyzing Students' Design Solutions in an NGSS-Aligned Earth Sciences Curriculum. AIED (1) 2019: 532-543 - [c172]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 - [c171]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: 383-390 - [c170]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: 885-891 - [c169]Gautam Biswas, Nicole Hutchins, Ákos Lédeczi, Shuchi Grover, Satabdi Basu:
Integrating Computational Modeling in K-12 STEM Classrooms. SIGCSE 2019: 1288 - [c168]Avisek Naug, Ibrahim Ahmed, Gautam Biswas:
Online Energy Management in Commercial Buildings using Deep Reinforcement Learning. SMARTCOMP 2019: 249-257 - [c167]Mayank S. Jha, Didier Theilliol, Gautam Biswas, Philippe Weber:
Approximate Q-learning approach for Health Aware Control Design. SysTol 2019: 418-423 - 2018
- [c166]Nicole Hutchins, Gautam Biswas, Miklos Maroti, Ákos Lédeczi, Brian Broll:
A Design-Based Approach to a Classroom-Centered OELE. AIED (2) 2018: 155-159 - [c165]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: 198-211 - [c164]Ningyu Zhang, Gautam Biswas:
Understanding Students' Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment. AIED (2) 2018: 405-410 - [c163]Avisek Naug, Gautam Biswas:
A Data Driven Method for Prediction of Energy Demand in Commercial Buildings. CASE 2018: 335-340 - [c162]Ramkumar Rajendran, Anurag Kumar, Kelly E. Carter, Daniel T. Levin, Gautam Biswas:
Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. EDM 2018 - [c161]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 - [c160]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 - [c159]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: 233-242 - [c158]Avisek Naug, Gautam Biswas:
Data Driven Methods for Energy Reduction in Large Buildings. SMARTCOMP 2018: 131-138 - [c157]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: 131-138 - 2017
- [c156]Ningyu Zhang, Gautam Biswas, Yi Dong:
Characterizing Students' Learning Behaviors Using Unsupervised Learning Methods. AIED 2017: 430-441 - [c155]Ayan Mukhopadhyay, Yevgeniy Vorobeychik, Abhishek Dubey, Gautam Biswas:
Prioritized Allocation of Emergency Responders based on a Continuous-Time Incident Prediction Model. AAMAS 2017: 168-177 - [c154]Mona Emara, Michael Tscholl, Yi Dong, Gautam Biswas:
Analyzing Students' Collaborative Regulation Behaviors in a Classroom-Integrated Open Ended Learning Environment. CSCL 2017 - [c153]Hamed Khorasgani, Gautam Biswas:
A combined model-based and data-driven approach for monitoring smart buildings. DX 2017: 21-36 - [c152]Yi Dong, Gautam Biswas:
An Extended Learner Modeling Method to Assess Students' Learning Behaviors. EDM 2017 - [c151]Geoffrey Pettet, Saideep Nannapaneni, Benjamin Stadnick, Abhishek Dubey, Gautam Biswas:
Incident analysis and prediction using clustering and Bayesian network. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8 - 2016
- [c150]Satabdi Basu, Gautam Biswas, John S. Kinnebrew:
Using Multiple Representations to Simultaneously Learn Computational Thinking and Middle School Science. AAAI 2016: 3705-3711 - [c149]Yi Dong, John S. Kinnebrew, Gautam Biswas:
Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments. EDM 2016: 591-592 - [c148]Satabdi Basu, Gautam Biswas:
Providing Adaptive Scaffolds and Measuring Their Effectiveness in Open Ended Learning Environments. ICLS 2016 - [c147]Brian C. Gauch, Gautam Biswas:
Behavior Changes Across Time and Between Populations in Open-Ended Learning Environments. ITS 2016: 187-196 - 2015
- [c146]John S. Kinnebrew, Brian C. Gauch, James Segedy, Gautam Biswas:
Studying Student Use of Self-Regulated Learning Tools in an Open-Ended Learning Environment. AIED 2015: 185-194 - [c145]James René Segedy, Gautam Biswas:
Towards Using Coherence Analysis to Scaffold Students in Open-Ended Learning Environments. AIED Workshops 2015 - [c144]James Segedy, John S. Kinnebrew, Gautam Biswas:
Coherence Over Time: Understanding Day-to-Day Changes in Students' Open-Ended Problem Solving Behaviors. AIED 2015: 449-458 - [c143]James René Segedy, John S. Kinnebrew, Gautam Biswas:
Demonstration: Using GIFT to Support Students' Understanding of the UrbanSim Counter Insurgency Simulation. AIED Workshops 2015 - [c142]Gan Zhou, Wenquan Feng, Gautam Biswas, Wenfeng Zhang, XiuMei Guan:
A Comparsion Of State Estimation Algorithms For Hybrid Systems. ECMS 2015: 312-319 - [c141]Cheng Ye, John S. Kinnebrew, James René Segedy, Gautam Biswas:
Learning Behavior Characterization with Multi-Feature, Hierarchical Activity Sequences. EDM 2015: 380-383 - [c140]James René Segedy, John S. Kinnebrew, Benjamin S. Goldberg, Robert A. Sottilare, Gautam Biswas:
Designing Representations and Support for Metacognition in the Generalized Intelligent Framework for Tutoring. HCI (15) 2015: 663-674 - [c139]Cheng Ye, John S. Kinnebrew, Gautam Biswas, Brent J. Evans, Douglas H. Fisher, Gayathri Narasimham, Katherine A. Brady:
Behavior Prediction in MOOCs using Higher Granularity Temporal Information. L@S 2015: 335-338 - [c138]Gan Zhou, Gautam Biswas, Wenquan Feng, Hongbo Zhao, XiuMei Guan:
A Bayesian Framework for Fault Diagnosis of Hybrid Linear Systems. DX 2015: 27-34 - [c137]Hamed Khorasgani, Gautam Biswas, Daniel E. Jung:
Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection. DX 2015: 75-82 - [c136]Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte:
Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. DX 2015: 185-192 - 2014
- [c135]Hamed Khorasgani, Daniel E. Jung, Gautam Biswas, Erik Frisk, Mattias Krysander:
Robust residual selection for fault detection. CDC 2014: 5764-5769 - [c134]Cheng Ye, John S. Kinnebrew, Gautam Biswas:
Mining and Identifying Relationships Among Sequential Patterns in Multi-Feature, Hierarchical Learning Activity Data. EDM 2014: 389-390 - [c133]Gautam Biswas, John S. Kinnebrew, James René Segedy:
Using a Cognitive/Metacognitive Task Model to Analyze Students Learning Behaviors. HCI (25) 2014: 190-201 - [c132]Satabdi Basu, Anton Dukeman, John S. Kinnebrew, Gautam Biswas, Pratim Sengupta:
Investigating Student Generated Computational Models of Science. ICLS 2014 - [c131]Benjamin S. Goldberg, Robert A. Sottilare, Ido Roll, Susanne P. Lajoie, Eric G. Poitras, Gautam Biswas, James René Segedy, John S. Kinnebrew, Elaine Stampfer Wiese, Yanjin Long, Vincent Aleven, Kenneth R. Koedinger, Phil Winne:
Enhancing Self-Regulated Learning through Metacognitively-Aware Intelligent Tutoring Systems. ICLS 2014 - [c130]Satabdi Basu, John S. Kinnebrew, Gautam Biswas:
Assessing Student Performance in a Computational-Thinking Based Science Learning Environment. Intelligent Tutoring Systems 2014: 476-481 - [c129]John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas, Chih-Kai Chang:
A Differential Approach for Identifying Important Student Learning Behavior Patterns with Evolving Usage over Time. PAKDD Workshops 2014: 281-292 - [c128]Joshua D. Carl, Gautam Biswas, Sandeep Neema, Ted Bapty:
An approach to parallelizing the simulation of complicated modelica models. SummerSim 2014: 17 - 2013
- [c127]James Segedy, Gautam Biswas, Emily Feitl Blackstock, Akailah Jenkins:
Guided Skill Practice as an Adaptive Scaffolding Strategy in Open-Ended Learning Environments. AIED 2013: 532-541 - [c126]Satabdi Basu, Gautam Biswas:
A Computational Thinking Approach to Learning Middle School Science. AIED 2013: 920-923 - [c125]Gautam Biswas, Roger Azevedo, Valerie Shute, Susan Bull:
Workshop on Scaffolding in Open-Ended Learning Environments (OELEs). AIED 2013: 952-953 - [c124]Douglas B. Clark, Stephen S. Killingsworth, Mario Martinez-Garza, Grant Van Eaton, Gautam Biswas, John S. Kinnebrew, Pratim Sengupta, Kara Krinks, Deanne Adams, Haifeng Zhang, James Hughes:
Digital Games and Science Learning: Design Principles and Processes to Augment Commercial Game Design Conventions. AIED Workshops 2013 - [c123]Babak Khosravifar, Roger Azevedo, Reza Feyzi-Behnagh, Michelle Taub, Gautam Biswas, John S. Kinnebrew:
Adaptive Multi-Agent Architecture to Track Students' Self-Regulated Learning. AIED Workshops 2013 - [c122]John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas:
A Differential Temporal Interestingness Measure for Identifying the Learning Behavior Effects of Scaffolding. AIED Workshops 2013 - [c121]James Segedy, Kirk M. Loretz, Gautam Biswas:
Suggest-Assert-Modify: A Taxonomy of Adaptive Scaffolds in Computer-Based Learning Environments. AIED Workshops 2013 - [c120]Amali Weerasinghe, Benedict du Boulay, Gautam Biswas:
Workshop on Self-Regulated Learning in Educational Technologies (SRL@ET): Supporting, Modeling, Evaluating, and Fostering Metacognition with Computer-Based Learning Environments. AIED 2013: 956 - [c119]Gautam Biswas, John S. Kinnebrew, James Segedy:
Analyzing Students' Metacognitive Strategies in Open-Ended Learning Environments. CogSci 2013 - [c118]Satabdi Basu, Amanda Dickes, John S. Kinnebrew, Pratim Sengupta, Gautam Biswas:
CTSiM: A Computational Thinking Environment for Learning Science through Simulation and Modeling. CSEDU 2013: 369-378 - [c117]Joshua D. Carl, Zsolt Lattman, Gautam Biswas:
Modeling And Simulation Semantics For Building Large-Scale Multi-Domain Embedded Systems. ECMS 2013: 93-99 - [c116]John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas:
Mining Temporally-Interesting Learning Behavior Patterns. EDM 2013: 252-255 - [c115]Daniel T. Levin, Julie A. Adams, Megan M. Saylor, Gautam Biswas:
A transition model for cognitions about agency. HRI 2013: 373-380 - [c114]Maria Mendiburo, Laura K. Williams, James Segedy, Mason Wright, Gautam Biswas, Ted S. Hasselbring:
An Investigation of the Effect of Competition on the Way Students Engage in Game-Based Deliberate Practice. ICALT 2013: 102-106 - [c113]James Segedy, Kirk M. Loretz, Gautam Biswas:
Model-driven assessment of learners in open-ended learning environments. LAK 2013: 200-204 - [c112]Gautam Biswas, James Segedy, John S. Kinnebrew:
Smart Open-Ended Learning Environments That Support Learners Cognitive and Metacognitive Processes. CHI-KDD 2013: 303-310 - [c111]Anton Dukeman, Faruk Caglar, Shashank Shekhar, John S. Kinnebrew, Gautam Biswas, Douglas H. Fisher, Aniruddha S. Gokhale:
Teaching Computational Thinking Skills in C3STEM with Traffic Simulation. CHI-KDD 2013: 350-357 - 2012
- [c110]Pratim Sengupta, John S. Kinnebrew, Gautam Biswas, Douglas B. Clark:
Integrating Computational Thinking with K-12 Science Education - A Theoretical Framework. CSEDU (2) 2012: 40-49 - [c109]Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas:
A Cross-Layer Design for Decentralized Detection in Tree Sensor Networks. DCOSS 2012: 247-256 - [c108]John S. Kinnebrew, Gautam Biswas:
Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution. EDM 2012: 57-64 - [c107]François Bouchet, John S. Kinnebrew, Gautam Biswas, Roger Azevedo:
Identifying Students' Characteristic Learning Behaviors in an Intelligent Tutoring System Fostering Self-Regulated Learning. EDM 2012: 65-72 - [c106]Maria Mendiburo, Gautam Biswas, Ted S. Hasselbring:
Design-Based Research in Practice: A Technology-Based Classroom Experiment that Explores How Students Use Virtual Manipulatives to Order Groups of Fractions. ICLS 2012 - [c105]James Segedy, John S. Kinnebrew, Gautam Biswas:
Supporting Student Learning using Conversational Agents in a Teachable Agent Environment. ICLS 2012 - [c104]Chetan S. Kulkarni, Jose Celaya, Gautam Biswas, Kai Goebel:
Prognostics Health Management and Physics Based Failure Models for Electrolytic Capacitors. Infotech@Aerospace 2012 - [c103]James Segedy, John S. Kinnebrew, Gautam Biswas:
Relating Student Performance to Action Outcomes and Context in a Choice-Rich Learning Environment. ITS 2012: 505-510 - [c102]Maria Mendiburo, Brian Sulcer, Gautam Biswas, Ted S. Hasselbring:
Interactive Virtual Representations, Fractions, and Formative Feedback. ITS 2012: 716-717 - 2011
- [c101]James René Segedy, John S. Kinnebrew, Gautam Biswas:
Modeling Learner's Cognitive and Metacognitive Strategies in an Open-Ended Learning Environment. AAAI Fall Symposium: Advances in Cognitive Systems 2011 - [c100]Satabdi Basu, Gautam Biswas, Pratim Sengupta:
Scaffolding to Support Learning of Ecology in Simulation Environments. AIED 2011: 417-419 - [c99]Maria Mendiburo, Gautam Biswas:
Virtual Manipulatives in a Computer-Based Learning Environment: How Experimental Data Informs the Design of Future Systems. AIED 2011: 510-512 - [c98]James Segedy, John S. Kinnebrew, Gautam Biswas:
Investigating the Relationship between Dialogue Responsiveness and Learning in a Teachable Agent Environment. AIED 2011: 547-549 - [c97]James Segedy, John S. Kinnebrew, Gautam Biswas:
Knowledge Construction with Causal Concept Maps in a Teachable Agent Environment. AIED 2011: 625 - [c96]Carlos J. Alonso-González, Noemi Moya Alonso, Gautam Biswas:
Dynamic Bayesian Network Factors from Possible Conflicts for Continuous System Diagnosis. CAEPIA 2011: 223-232 - [c95]Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas:
Transmission Control Policy design for decentralized detection in sensor networks. DCOSS 2011: 1-10 - [c94]Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas:
Transmission control policy design for decentralized detection in tree topology sensor networks. FUSION 2011: 1-8 - [c93]Alicia M. Hymel, Daniel T. Levin, Jonathan Barrett, Megan M. Saylor, Gautam Biswas:
The Interaction of Children's Concepts about Agents and Their Ability to Use an Agent-Based Tutoring System. HCI (4) 2011: 580-589 - 2010
- [c92]John S. Kinnebrew, Gautam Biswas, William Brian Sulcer:
Modeling and Measuring Self-Regulated Learning in Teachable Agent Environments. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2010 - [c91]Roberto Pirrone, Roger Azevedo, Gautam Biswas:
Organizing Committee. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2010 - [c90]Roberto Pirrone, Roger Azevedo, Gautam Biswas:
Preface: Meta-Cognitive Educational Systems: One Step Forward. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2010 - [c89]Hogyeong Jeong, Gautam Biswas, Julie Johnson, Larry Howard:
Analysis of Productive Learning Behaviors in a Structured Inquiry Cycle Using Hidden Markov Models. EDM 2010: 81-90 - [c88]John S. Kinnebrew, Daniel L. C. Mack, Gautam Biswas, Douglas C. Schmidt:
Coordination of Planning and Scheduling Techniques for a Distributed, Multi-level, Multi-agent System. ICAART (2) 2010: 184-191 - [c87]James Segedy, Brian Sulcer, Gautam Biswas:
Are ILEs Ready for the Classroom? Bringing Teachers into the Feedback Loop. Intelligent Tutoring Systems (2) 2010: 405-407 - [c86]Indranil Roychoudhury, Gautam Biswas, Xenofon D. Koutsoukos:
Using factored bond graphs for distributed diagnosis of physical systems. SpringSim 2010: 214 - [c85]Gautam Biswas, Brian Sulcer:
Visual exploratory data analysis methods to characterize student progress in intelligent learning environments. T4E 2010: 114-121 - 2009
- [c84]Gautam Biswas, Hogyeong Jeong, Rod D. Roscoe, Brian Sulcer:
Promoting Motivation and Self-Regulated Learning Skills through Social Interactions in Agent-based Learning Environments. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2009 - [c83]Roberto Pirrone, Roger Azevedo, Gautam Biswas:
Preface. AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems 2009 - [c82]Joseph G. Linn, James Segedy, Hogyeong Jeong, Benjamin Podgursky, Gautam Biswas:
A Reconfigurable Architecture for Building Intelligent Learning Environments. AIED 2009: 115-122 - [c81]Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas:
Detection using intermittent observations for passive wireless sensors. ACC 2009: 2791-2796 - [c80]Indranil Roychoudhury, Gautam Biswas, Xenofon D. Koutsoukos:
Factoring Dynamic Bayesian Networks based on structural observability. CDC 2009: 244-250 - [c79]Ashraf Tantawy, Xenofon D. Koutsoukos, Gautam Biswas:
Maximum likelihood detection with intermittent observations. CISS 2009: 442-447 - [c78]Aníbal Bregón, Belarmino Pulido, Gautam Biswas, Xenofon D. Koutsoukos:
Generating Possible Conflicts From Bond Graphs Using Temporal Causal Graphs. ECMS 2009: 675-682 - [c77]John S. Kinnebrew, Gautam Biswas:
Efficient Allocation of Hierarchically-Decomposable Tasks in a Sensor Web Contract Net. IAT 2009: 225-232 - [c76]John S. Kinnebrew, William Otte, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt:
Intelligent Resource Management and Dynamic Adaptation in a Distributed Real-time and Embedded Sensor Web System. ISORC 2009: 135-142 - 2008
- [c75]Hogyeong Jeong, Gautam Biswas:
Mining Student Behavior Models in Learning-by-Teaching Environments. EDM 2008: 127-136 - [c74]Matthew J. Daigle, Xenofon D. Koutsoukos, Gautam Biswas:
An Integrated Approach to Parametric and Discrete Fault Diagnosis in Hybrid Systems. HSCC 2008: 614-617 - [c73]John Wagster, Henry Kwong, Gautam Biswas, Daniel L. Schwartz:
Bringing CBLEs into Classrooms: Experiences with the Betty's Brain System. ICALT 2008: 252-256 - [c72]Nilabja Roy, John S. Kinnebrew, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt:
Toward Effective Multi-Capacity Resource Allocation in Distributed Real-Time and Embedded Systems. ISORC 2008: 124-128 - [c71]Hogyeong Jeong, Amit Gupta, Rod D. Roscoe, John Wagster, Gautam Biswas, Daniel L. Schwartz:
Using Hidden Markov Models to Characterize Student Behaviors in Learning-by-Teaching Environments. Intelligent Tutoring Systems 2008: 614-625 - 2007
- [c70]Matthew J. Daigle, Xenofon D. Koutsoukos, Gautam Biswas:
A Qualitative Approach to Multiple Fault Isolation in Continuous Systems. AAAI 2007: 293-298 - [c69]Gautam Biswas, Sankaran Mahadevan:
Multi-level Methods for Combined Diagnostics and Prognostics. AAAI Fall Symposium: Artificial Intelligence for Prognostics 2007: 9-16 - [c68]Jason Tan, John Wagster, Yanna Wu, Gautam Biswas:
Effect of Metacognitive Support on Student Behaviors in Learning by Teaching Environments. AIED 2007: 650-652 - [c67]Ido Roll, Vincent Aleven, Roger Azevedo, Ryan Shaun Joazeiro de Baker, Gautam Biswas, Cristina Conati, Amanda Harris, Rosemary Luckin, Antonija Mitrovic, Tom Murray, Barbara White, Philip H. Winne:
Workshop on Metacognition and Self-Regulated Learning in ITSs. AIED 2007: 722 - [c66]Matthew J. Daigle, Xenofon D. Koutsoukos, Gautam Biswas:
Fault diagnosis of continuous systems using discrete-event methods. CDC 2007: 2626-2632 - [c65]Jason Tan, Gautam Biswas:
Simulation-Based Game Learning Environments: Building and Sustaining a Fish Tank. DIGITEL 2007: 73-80 - [c64]Matthew J. Daigle, Indranil Roychoudhury, Gautam Biswas, Xenofon D. Koutsoukos:
Efficient Simulation of Component-Based Hybrid Models Represented as Hybrid Bond Graphs. HSCC 2007: 680-683 - [c63]John S. Kinnebrew, Ankit Gupta, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt:
A Decision-Theoretic Planner with Dynamic Component Reconfiguration for Distributed Real-Time Applications. ISADS 2007: 461-472 - 2006
- [c62]John S. Kinnebrew, Nishanth Shankaran, Gautam Biswas, Douglas C. Schmidt:
A Decision-Theoretic Planner with Dynamic Compound Reconfiguration for Distributed Real-Time Applications. AAAI 2006 - [c61]Christopher D. Beers, Eric-Jan Manders, Gautam Biswas, Pieter J. Mosterman:
Building Efficient simulations from Hybrid bond Graph Models. ADHS 2006: 71-76 - [c60]Matthew J. Daigle, Xenofon D. Koutsoukos, Gautam Biswas:
Distributed Diagnosis of Coupled Mobile Robots. ICRA 2006: 3787-3794 - [c59]Jason Tan, Gautam Biswas:
The Role of Feedback in Preparation for Future Learning: A Case Study in Learning by Teaching Environments. Intelligent Tutoring Systems 2006: 370-381 - [c58]Eric-Jan Manders, Gautam Biswas, Nagabhushan Mahadevan, Gabor Karsai:
Component-oriented modeling of hybrid dynamic systems using the Generic Modeling Environment. MDB/MOMPES 2006: 159-168 - [c57]Nishanth Shankaran, Jaiganesh Balasubramanian, Douglas C. Schmidt, Gautam Biswas, Patrick J. Lardieri, Ed Mulholland, Thomas Damiano:
A framework for (re)deploying components in distributed real-time and embedded systems. SAC 2006: 737-738 - 2005
- [c56]Ruchi Gupta, Yanna Wu, Gautam Biswas:
Teaching about Dynamic Processes A Teachable Agents Approach. AIED 2005: 241-248 - [c55]Jason Tan, Christopher D. Beers, Ruchi Gupta, Gautam Biswas:
Computer Games as Intelligent Learning Environments: A River Ecosystem Adventure. AIED 2005: 646-653 - 2004
- [c54]Karun Viswanath, Bilikiss Adebiyi, Krittaya Leelawong, Gautam Biswas:
A Multi-Agent Architecture Implementation of Learning by Teaching Systems. ICALT 2004 - [c53]Gautam Biswas, Krittaya Leelawong, Kadira Belynne, Karun Viswanath, Daniel L. Schwartz, Joan M. Davis:
Developing Learning by Teaching Environments That Support Self-Regulated Learning. Intelligent Tutoring Systems 2004: 730-740 - [c52]Surya Dev Pathak, David M. Dilts, Gautam Biswas:
Simulating Growth Dynamics in Complex Adaptive Supply Networks. WSC 2004: 774-782 - 2003
- [c51]Krittaya Leelawong, Karun Viswanath, Joan M. Davis, Gautam Biswas, Nancy Vye, Kadira Belynne, John D. Bransford:
Teachable Agents: Learning by Teaching Environments for Science Domains. IAAI 2003: 109-116 - [c50]Sriram Narasimhan, Gautam Biswas:
Model-based Diagnosis of Hybrid Systems. IJCAI 2003: 376-381 - [c49]Joan M. Davis, Krittaya Leelawong, Kadira Belynne, Bobby Bodenheimer, Gautam Biswas, Nancy Vye, John D. Bransford:
Intelligent user interface design for teachable agent systems. IUI 2003: 26-33 - [c48]Joan M. Davis, Krittaya Leelawong, Kadira Belynne, Gautam Biswas, Nancy Vye, Bobby Bodenheimer, John D. Bransford:
Intelligent user interface design for teachable agent systems. IUI 2003: 320 - [c47]Rong Su, Sherif Abdelwahed, Gabor Karsai, Gautam Biswas:
Discrete abstraction and supervisory control of switching systems. SMC 2003: 415-421 - [c46]Surya Dev Pathak, David M. Dilts, Gautam Biswas:
Next generation modeling III - agents: a multi-paradigm simulator for simulating complex adaptive supply chain networks. WSC 2003: 808-816 - 2002
- [c45]Sherif Abdelwahed, Gabor Karsai, Gautam Biswas:
Online safety control of a class of hybrid systems. CDC 2002: 1988-1990 - [c44]Sriram Narasimhan, Gautam Biswas:
An Approach to Model-Based Diagnosis of Hybrid Systems. HSCC 2002: 308-322 - 2001
- [c43]Gabor Karsai, Gautam Biswas, Tal Pasternak, Sriram Narasimhan, Gábor Péceli, Gyula Simon, Tamás Kovácsházy:
Fault-Adaptive Control: A CBS Application. ECBS 2001: 205- - [c42]Cen Li, Gautam Biswas, Mike B. Dale, Pat Dale:
Building Models of Ecological Dynamics Using HMM Based Temporal Data Clustering - A Preliminary Study. IDA 2001: 53-62 - 2000
- [c41]Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas:
Bayesian Fault Detection and Diagnosis in Dynamic Systems. AAAI/IAAI 2000: 531-537 - [c40]Sheila A. McIlraith, Gautam Biswas, Dan Clancy, Vineet Gupta:
Hybrid Systems Diagnosis. HSCC 2000: 282-295 - [c39]Pieter J. Mosterman, Gautam Biswas:
Towards Procedures for Systematically Deriving Hybrid Models of Complex Systems. HSCC 2000: 324-337 - [c38]Cen Li, Gautam Biswas:
A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models. ICML 2000: 543-550 - [c37]Cen Li, Gautam Biswas:
Improving clustering with hidden Markov models using Bayesian model selection. SMC 2000: 194-199 - [c36]Sriram Narasimhan, Gautam Biswas, Gabor Karsai, Tal Pasternak, Feng Zhao:
Building observers to address fault isolation and control problems in hybrid dynamic systems. SMC 2000: 2393-2398 - 1999
- [c35]Ravi Kapadia, Gautam Biswas:
Model-based Support for Mutable Parametric Design Optimization. AAAI/IAAI 1999: 410-415 - [c34]Cen Li, Gautam Biswas:
Clustering sequence data using hidden Markov model representation. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 1999: 14-21 - [c33]Pieter J. Mosterman, Gautam Biswas:
Building Hybrid Observers for Complex Dynamic Systems Using Model Abstractions. HSCC 1999: 178-192 - [c32]Cen Li, Gautam Biswas:
Temporal Pattern Generation Using Hidden Markov Model Based Unsupervised Classification. IDA 1999: 245-256 - 1998
- [c31]Pieter J. Mosterman, Feng Zhao, Gautam Biswas:
An Ontology for Transitions in Physical Dynamic Systems. AAAI/IAAI 1998: 219-224 - 1997
- [c30]Pieter J. Mosterman, Gautam Biswas:
Monitoring, Prediction, and Fault Isolation in Dynamic Physical Systems. AAAI/IAAI 1997: 100-105 - [c29]Cen Li, Gautam Biswas:
Conceptual Clustering with Numeric-and-Nominal Mixed Data - A New Similarity Based System. AISTATS 1997: 327-346 - [c28]Pieter J. Mosterman, Feng Zhao, Gautam Biswas:
Sliding Mode Model Semantics and Simulation for Hybrid Systems. Hybrid Systems 1997: 218-237 - [c27]Pieter J. Mosterman, Gautam Biswas:
Formal Specifications for Hybrid Dynamical Systems. IJCAI (1) 1997: 568-577 - 1996
- [c26]Pieter J. Mosterman, Gautam Biswas:
A Formal Hybrid Modeling Scheme for Handling Discontinuities in Physical System Models. AAAI/IAAI, Vol. 2 1996: 985-990 - 1995
- [c25]Cen Li, Gautam Biswas:
Knowledge-Based Scientific Discovery in Geological Databases. KDD 1995: 204-209 - 1994
- [c24]Sugato Bagchi, Gautam Biswas, Kazuhiko Kawamura:
Generating Plans To Succeed in Uncertain Environments. AIPS 1994: 1-6 - 1993
- [c23]Gautam Biswas, Xudong Yu:
A Formal Modeling Scheme for Continuous Systems: Focus on Diagnosis. IJCAI 1993: 1474-1479 - 1992
- [c22]Jerry B. Weinberg, Gautam Biswas, Glenn R. Koller:
Conceptual Clustering with Systematic Missing Values. ML 1992: 464-469 - 1991
- [c21]Gautam Biswas, Jerry B. Weinberg, Qian Yang, Glenn R. Koller:
Conceptual Clustering and Exploratory Data Analysis. ML 1991: 591-595 - 1990
- [c20]Jerry B. Weinberg, Gautam Biswas, N. Serdar Uckun:
Continuing Adventures in Qualitative Modeling - A Qualitative Heart Model. IEA/AIE (Vol. 1) 1990: 416-425 - [c19]N. Serdar Uckun, Benoit M. Dawant, Gautam Biswas, Kazuhiko Kawamura:
A Belief Management Architecture for Diagnostic Problem Solving. IEA/AIE (Vol. 1) 1990: 519-527 - [c18]Xudong Yu, Gautam Biswas:
CHECKER: An Efficient Algorithm for Knowledge Base Verification. IEA/AIE (Vol. 2) 1990: 735-744 - 1989
- [c17]Gautam Biswas, Xudong Yu:
A Rule Network for Efficient Implementation of a Mixed-Initiative Reasoning Scheme. ACM Conference on Computer Science 1989: 123-130 - [c16]Gautam Biswas, Kenneth A. Debelak, Kazuhiko Kawamura:
Applications of qualitative modeling to knowledge-based risk assessment studies. IEA/AIE (1) 1989: 92-101 - [c15]John A. Smith, Gautam Biswas:
Utilizing multilevel models and reasoning for diagnosis of a complex electro-mechanical system. IEA/AIE (1) 1989: 161-170 - [c14]Jingwei Xia, Gautam Biswas:
An intelligent tutoring system for basic set theory. IEA/AIE (2) 1989: 1008-1017 - [c13]Neeraj Kaul, C. J. Kee, Gautam Biswas:
An intelligent tutoring system for CMOS digital design. IEA/AIE (2) 1989: 1018-1026 - [c12]David L. Hibler, Gautam Biswas:
The Thought Experiment Approach to Qualitative Physics. IJCAI 1989: 1279-1284 - [c11]Gautam Biswas, William J. Hagins, Kenneth A. Debelak:
Qualitative modeling in engineering applications. SMC 1989: 997-1002 - [c10]Jerry B. Weinberg, Gautam Biswas, Lori A. Weinberg:
Adventures in qualitative modeling-a qualitative heart model. SMC 1989: 1003-1008 - 1988
- [c9]Gautam Biswas, James C. Bezdek:
A Linuistic Transitive Closure Method for Completion and Consistency of Uncertain Knowledge. ISMIS 1988: 1-10 - 1987
- [c8]Gautam Biswas, Manton M. Matthews, Antang Huang:
An assistance system for UNIX text formatters. ACM Conference on Computer Science 1987: 53-57 - [c7]Ronald L. Sobczak, Manton M. Matthews, Gautam Biswas:
A response generation mechanism for an intelligent active assistance system. ACM Conference on Computer Science 1987: 128-132 - [c6]Gautam Biswas, Tejwansh S. Anand:
MIDST: An Expert System Shell for Mixed Initiative Reasoning. ISMIS 1987: 1-8 - [c5]Miao-Li Pai, Gautam Biswas, Christopher G. St. C. Kendall, James C. Bezdek:
Towards the Design of a Knowledge Based System for Hypercarbon Play Analysis. ISMIS 1987: 248-255 - [c4]Gautam Biswas, Tejwansh S. Anand:
Using the Dempster-Shafer Scheme in a Mixed-Initiative Expert System Shell. UAI 1987: 223-240 - 1986
- [c3]Gautam Biswas, James C. Bezdek, Robert L. Oakman:
A knowledge-based approach to online document retrieval system design. ISMIS 1986: 112-120 - 1985
- [c2]Manton M. Matthews, Gautam Biswas:
Raising User Proficiency Through Active Assistance: An Intelligent Editor. CAIA 1985: 358-363 - [c1]Gautam Biswas, Viswanath Subramanian, James C. Bezdek:
A Knowledge-Based System Approach to Document Retrieval. CAIA 1985: 455-460
Parts in Books or Collections
- 2017
- [p1]Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sören Volgmann, Andreas Bunte:
Datenanalyse in der intelligenten Fabrik. Handbuch Industrie 4.0 (2) 2017: 471-490
Editorship
- 2011
- [e2]Gautam Biswas, Susan Bull, Judy Kay, Antonija Mitrovic:
Artificial Intelligence in Education - 15th International Conference, AIED 2011, Auckland, New Zealand, June 28 - July 2011. Lecture Notes in Computer Science 6738, Springer 2011, ISBN 978-3-642-21868-2 [contents] - 2010
- [e1]Gautam Biswas, Diane Carr, Yam San Chee, Wu-Yuin Hwang:
2010 Third IEEE International Conference on Digital Game and Intelligent Toy Enhanced Learning, DIGITEL 2010, Kaohsiung, Taiwan, April 12-16, 2010. IEEE 2010, ISBN 978-1-4244-6433-3 [contents]
Informal and Other Publications
- 2024
- [i18]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 abs/2403.14565 (2024) - [i17]Clayton Cohn, Caitlin Snyder, Justin Montenegro, Gautam Biswas:
Towards A Human-in-the-Loop LLM Approach to Collaborative Discourse Analysis. CoRR abs/2405.03677 (2024) - [i16]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 abs/2405.06203 (2024) - [i15]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 abs/2406.15283 (2024) - [i14]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 abs/2407.08021 (2024) - [i13]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 abs/2407.14775 (2024) - [i12]Clayton Cohn, Eduardo Davalos, Caleb Vatral, Joyce Horn Fonteles, Hanchen David Wang, Meiyi Ma, Gautam Biswas:
Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review. CoRR abs/2408.14491 (2024) - 2023
- [i11]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Model-based adaptation for sample efficient transfer in reinforcement learning control of parameter-varying systems. CoRR abs/2305.12158 (2023) - [i10]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances. CoRR abs/2305.12543 (2023) - [i9]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 abs/2310.12359 (2023) - 2022
- [i8]Anabil Munshi, Gautam Biswas:
Analyzing Adaptive Scaffolds that Help Students Develop Self-Regulated Learning Behaviors. CoRR abs/2202.09698 (2022) - [i7]Luke Bhan, Marcos Quiñones-Grueiro, Gautam Biswas:
Concurrent Policy Blending and System Identification for Generalized Assistive Control. CoRR abs/2205.09836 (2022) - 2020
- [i6]Avisek Naug, Marcos Quiñones-Grueiro, Gautam Biswas:
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings. CoRR abs/2008.01879 (2020) - [i5]Ibrahim Ahmed, Hamed Khorasgani, Gautam Biswas:
Comparison of Model Predictive and Reinforcement Learning Methods for Fault Tolerant Control. CoRR abs/2008.04403 (2020) - [i4]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning. CoRR abs/2008.04407 (2020) - [i3]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Complementary Meta-Reinforcement Learning for Fault-Adaptive Control. CoRR abs/2009.12634 (2020) - [i2]Ibrahim Ahmed, Marcos Quiñones-Grueiro, Gautam Biswas:
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning. CoRR abs/2012.06016 (2020) - 2013
- [i1]Gautam Biswas, Tejwansh S. Anand:
Using the Dempster-Shafer Scheme in a Diagnostic Expert System Shell. CoRR abs/1304.2721 (2013)
Coauthor Index
Nicole Hutchins
aka: Nicole M. Hutchins
aka: Nicole M. Hutchins
[j77] [j76] [j75] [j71] [j68] [j62] [j58] [j48] [j43] [c150] [c149] [c146] [c144] [c143] [c141] [c140] [c139] [c136] [c134] [c133] [c132] [c131] [c130] [c129] [c124] [c123] [c122] [c119] [c118] [c116] [c112] [c111] [c110] [c108] [c107] [c105] [c103] [c101] [c98] [c97] [c92] [c88] [c77] [c76] [c72] [c63] [c62] [p1]
Jaclyn Ocumpaugh
aka: Jaclyn L. Ocumpaugh
aka: Jaclyn L. Ocumpaugh
James Segedy
aka: James René Segedy
aka: James René Segedy
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