Cognitive Systems in Education Sector
Cognitive systems that understand learners and adapt teaching, feedback and assessment to them.
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Evolutionary multi-criterion optimization
K Deb. Cited by 1105
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Is Web-only self-care education sufficient for heart failure patients?
A Jovičić, M Chignell, RC Wu, SE Straus. Cited by 7
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Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
H Ma, H Yang, I King, MRT Lyu. Cited by 9
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Message from the WSCE 2009 Workshop Chairs
I King
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Formal Models for Expert Finding on DBLP Bibliography Data
H Deng, I King, MRT Lyu. Cited by 158
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Customizing online education for cardiac patients
A Jovičić, PW Smith, M Chignell. Cited by 1
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Measuring credibility of users in an e-learning environment
W Wei, JHM Lee, I King. Cited by 16
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Tutorial 7—Adaptive Business Intelligence - Evolutionary Computation for Real World
JH Kim, M Schoenauer, Y Jin, S Yang, AP Engelbrecht, E Mezura‐Montes, A Hernández-Aguirre, ML Vasile, MR Sentinella, RA Sarker, Q Zhang, JA Lozano, EPK Tsang, M Emmerich, S Mabu, A Herzog, K Hirasawa, W Hong, J Tapiador, K Deb, Z Cai, D Joslin, J Tavares, BB Misra, DR Tauritz, KD Seppi, Z…
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Character Agents in E-Learning Interface Using Multimodal Real-Time Interaction
H Wang, JC Yang, M Chignell, M Ishizuka
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A Tutorial on RDF with Jena
WY Wong, TP Lau, I King, MRT Lyu
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Empathic Multiple Tutoring Agents for Multiple Learner Interface
H Wang, JC Yang, M Chignell, M Ishizuka. Cited by 1
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Evolutionary neural networks for anomaly detection based on the behavior of a program
S Han, SB Cho. Cited by 155