Ontology for autonomous robotics JI Olszewska, M Barreto, J Bermejo-Alonso, J Carbonera, A Chibani, ... 2017 26th IEEE international symposium on robot and human interactive …, 2017 | 86 | 2017 |
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing A Ebadi, P Xi, S Tremblay, B Spencer, R Pall, A Wong Scientometrics 126, 725-739, 2021 | 84 | 2021 |
A Suite of Ontologies for Robotics and Automation [Industrial Activities] SRFJBAPGEP de Freitas Alberto Olivares Alarcos Joanna Isabelle Olszewska ... IEEE Robotics & Automation Magazine 24 (1), pp. 8-11, 2017 | 67 | 2017 |
Semi-supervised self-training for sentence subjectivity classification B Wang, B Spencer, CX Ling, H Zhang Advances in Artificial Intelligence: 21st Conference of the Canadian Society …, 2008 | 59 | 2008 |
Requirements for building an ontology for autonomous robots B Bayat, J Bermejo-Alonso, J Carbonera, T Facchinetti, S Fiorini, ... Industrial Robot: An International Journal 43 (5), 469-480, 2016 | 55 | 2016 |
The OO jDREW reference implementation of ruleML M Ball, H Boley, D Hirtle, J Mei, B Spencer Rules and Rule Markup Languages for the Semantic Web: First International …, 2005 | 49 | 2005 |
A bayesian classifier for learning opponents’ preferences in multi-object automated negotiation S Buffett, B Spencer Electronic Commerce Research and Applications 6 (3), 274-284, 2007 | 48 | 2007 |
Inferring data transformation rules to integrate semantic web services B Spencer, S Liu International Semantic Web Conference, 456-470, 2004 | 47 | 2004 |
Consistently accurate forecasts of temperature within buildings from sensor data using ridge and lasso regression F Al-Obeidat, B Spencer, O Alfandi Future Generation Computer Systems 110, 382-392, 2020 | 38 | 2020 |
Learning opponents' preferences in multi-object automated negotiation S Buffett, B Spencer Proceedings of the 7th international conference on Electronic commerce, 300-305, 2005 | 38 | 2005 |
A refinement of lasso regression applied to temperature forecasting B Spencer, O Alfandi, F Al-Obeidat Procedia computer science 130, 728-735, 2018 | 35 | 2018 |
Exploiting temporal and novel information from the user in plan recognition R Cohen, F Song, B Spencer, P Van Beek User Modeling and User-Adapted Interaction 1, 125-148, 1991 | 29 | 1991 |
Negotiating Exchanges of P3p‐Labeled Information for Compensation S Buffett, K Jia, S Liu, B Spencer, F Wang Computational Intelligence 20 (4), 663-677, 2004 | 25 | 2004 |
The Opinion Management Framework: Identifying and addressing customer concerns extracted from online product reviews F Al-Obeidat, Spencer, B Spencer, E Kafezaa Electronic Commerce Research and Applications 27, 52-64, 2018 | 24 | 2018 |
FOL RuleML: The first-order logic web language H Boley, M Dean, B Grosof, M Sintek, B Spencer, S Tabet, G Wagner Document located on-line at http://www. ruleml. org/fol, 2004 | 24 | 2004 |
Providing responses specific to a user's goals and background R Cohen, M Jones, A Sanmugasunderam, B Spencer, L Dent International Journal of Expert Systems 2 (2), 135-162, 1989 | 24 | 1989 |
Determining Internet Users' Values for Private Information. S Buffett, N Scott, B Spencer, M Richter, MW Fleming PST, 79-88, 2004 | 23 | 2004 |
Clause trees: a tool for understanding and implementing resolution in automated reasoning JD Horton, B Spencer Artificial Intelligence 92 (1-2), 25-89, 1997 | 22 | 1997 |
Temperature forecasts with stable accuracy in a smart home B Spencer, F Al-Obeidat Procedia Computer Science 83, 726-733, 2016 | 21 | 2016 |
WSReasoner: A Prototype Hybrid Reasoner for ALCHOI Ontology Classification using a Weakening and Strengthening Approach. W Song, B Spencer, W Du ORE, 2012 | 17 | 2012 |