-
1
-
-
67349266835
-
Evidential fusion of sensor data for activity recognition in smart homes
-
Hong, X.; Nugent, C.D.; Mulvenna, M.D.; McClean, S.I.; Scotney, B.W.; Devlin, S. Evidential fusion of sensor data for activity recognition in smart homes. Pervasive Mob. Comput. 2009, 5, 236-252.
-
(2009)
Pervasive Mob. Comput.
, vol.5
, pp. 236-252
-
-
Hong, X.1
Nugent, C.D.2
Mulvenna, M.D.3
McClean, S.I.4
Scotney, B.W.5
Devlin, S.6
-
2
-
-
10944269122
-
Inferring activities from interactions with objects
-
Philipose, M.; Fishkin, K.; Perkowits, M.; Patterson, D.; Kautz, H.; Hahnel, D. Inferring activities from interactions with objects. IEEE Pervasive Comput. Mag. 2004, 3, 50-57.
-
(2004)
IEEE Pervasive Comput. Mag.
, vol.3
, pp. 50-57
-
-
Philipose, M.1
Fishkin, K.2
Perkowits, M.3
Patterson, D.4
Kautz, H.5
Hahnel, D.6
-
3
-
-
79951924346
-
Discovering Activities to Recognize and Track in a Smart Environment
-
Rashidi, P.; Cook, D.; Holder, L.; Schmitter-Edgecombe, M. Discovering Activities to Recognize and Track in a Smart Environment. IEEE Trans. Knowl. Data Eng. 2011, 23, 527-539.
-
(2011)
IEEE Trans. Knowl. Data Eng.
, vol.23
, pp. 527-539
-
-
Rashidi, P.1
Cook, D.2
Holder, L.3
Schmitter-Edgecombe, M.4
-
4
-
-
84876866662
-
A Cluster-Based Classifier Ensemble as an Alternative to the Nearest Neighbour Ensemble
-
In Athens, Greece, 7-9 November
-
Jurek, A.; Bi, Y.; Wu, S.; Nugent, C.D. A Cluster-Based Classifier Ensemble as an Alternative to the Nearest Neighbour Ensemble. In Proceedings of the 24th IEEE International Conference on Tools with Artificial Intelligence, Athens, Greece, 7-9 November 2012; pp. 1100-1105.
-
(2012)
Proceedings of the 24th IEEE International Conference on Tools with Artificial Intelligence
, pp. 1100-1105
-
-
Jurek, A.1
Bi, Y.2
Wu, S.3
Nugent, C.D.4
-
5
-
-
84893979840
-
Application of a Cluster-Based Classifier Ensemble to Activity Recognition in Smart Homes. Ambient Assisted Living and Active Agin
-
Jurek, A.; Bi, Y.; Wu, S.; Nugent, C.D. Application of a Cluster-Based Classifier Ensemble to Activity Recognition in Smart Homes. Ambient Assisted Living and Active Agin. Lect. Notes Comput. Sci. 2013, 8277, 88-95.
-
(2013)
Lect. Notes Comput. Sci.
, vol.8277
, pp. 88-95
-
-
Jurek, A.1
Bi, Y.2
Wu, S.3
Nugent, C.D.4
-
6
-
-
84867854576
-
Sensor-Based Activity Recognition
-
Chen, L.; Hoey, J.; Nugent, C.D.; Cook, D.J.; Yu, Z. Sensor-Based Activity Recognition. IEEE Trans. Syst. Man Cybern. Part C 2012, 42, 790-808.
-
(2012)
IEEE Trans. Syst. Man Cybern. Part C
, vol.42
, pp. 790-808
-
-
Chen, L.1
Hoey, J.2
Nugent, C.D.3
Cook, D.J.4
Yu, Z.5
-
7
-
-
35048836274
-
Activity Recognition in the Home Using Simple and Ubiquitous Sensors
-
In Massachusetts Institute of Technology: Cambridge, MA, USA
-
Tapia, E.M.; Intille, S.; Larson, K. Activity Recognition in the Home Using Simple and Ubiquitous Sensors. In Pervasive Computing; Massachusetts Institute of Technology: Cambridge, MA, USA, 2004; pp. 158-175.
-
(2004)
Pervasive Computing
, pp. 158-175
-
-
Tapia, E.M.1
Intille, S.2
Larson, K.3
-
8
-
-
33845620926
-
-
Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA, USA
-
Wilson, D.H. Assistive Intelligent Environments for Automatic Health Monitoring. Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA, USA, 2005.
-
(2005)
Assistive Intelligent Environments for Automatic Health Monitoring
-
-
Wilson, D.H.1
-
9
-
-
44249089301
-
A HMM for Activity Aecognition
-
In Phoenix Park, Korea, 17-20 February
-
Hasan, M.K.; Rubaiyeat, H.A.; Lee, Y.K.; Lee, S. A HMM for Activity Aecognition. In Proceedings of the 10th International Conference Advanced Communication Technology, Phoenix Park, Korea, 17-20 February2008; pp. 843-846.
-
(2008)
Proceedings of the 10th International Conference Advanced Communication Technology
, pp. 843-846
-
-
Hasan, M.K.1
Rubaiyeat, H.A.2
Lee, Y.K.3
Lee, S.4
-
11
-
-
38149039398
-
A long-term evaluation of sensing modalities for activity recognition
-
Logan, B.; Healey, J.; Philipose, M.; Tapia, E.M.; Intille, S. A long-term evaluation of sensing modalities for activity recognition. Ubicomp 2007, 483-500.
-
(2007)
Ubicomp
, pp. 483-500
-
-
Logan, B.1
Healey, J.2
Philipose, M.3
Tapia, E.M.4
Intille, S.5
-
12
-
-
53949117607
-
Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers
-
Yang, J.Y.; Wang, J.S. Chen, Y.P. Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers. Pattern Recogni. Lett. 2008, 29, 2213-2220.
-
(2008)
Pattern Recogni. Lett.
, vol.29
, pp. 2213-2220
-
-
Yang, J.Y.1
Wang, J.S.2
Chen, Y.P.3
-
13
-
-
84904166103
-
Dealing with activities with diffuse boundaries. In Proceedings of the Workshop on How to Do Good Activity Recognition Research
-
Helsinki, Finland, May
-
Ye, J.; Coyle, L.; McKeever, S.; Dobson, S.A. Dealing with activities with diffuse boundaries. In Proceedings of the Workshop on How to Do Good Activity Recognition Research: Experimental Methodologies, Evaluation Metrics and Reproducility, Helsinki, Finland, May 2010.
-
(2010)
Experimental Methodologies, Evaluation Metrics and Reproducility
-
-
Ye, J.1
Coyle, L.2
McKeever, S.3
Dobson, S.A.4
-
14
-
-
75449099590
-
Human Activity Recognition and Pattern Discovery
-
Kim, E.; Helal, S.; Cook, D. Human Activity Recognition and Pattern Discovery. Pervasive Comput. 2010, 9, 48-53.
-
(2010)
Pervasive Comput.
, vol.9
, pp. 48-53
-
-
Kim, E.1
Helal, S.2
Cook, D.3
-
15
-
-
84858239192
-
Learning Setting-Generalized Activity Models for Smart Spaces
-
Cook, D.J. Learning Setting-Generalized Activity Models for Smart Spaces. Intell. Syst. 2012, 27, 32-38.
-
(2012)
Intell. Syst.
, vol.27
, pp. 32-38
-
-
Cook, D.J.1
-
16
-
-
84877683576
-
Activity Recognition Using Hybrid Generative/Discriminative Models on Home Enviroments Using Binary Sensors
-
Ordonez, F.J.; Toledo, P.; Sanchis, A. Activity Recognition Using Hybrid Generative/Discriminative Models on Home Enviroments Using Binary Sensors. Sensors 2013, 13, 5460-5477.
-
(2013)
Sensors
, vol.13
, pp. 5460-5477
-
-
Ordonez, F.J.1
Toledo, P.2
Sanchis, A.3
-
17
-
-
84870246433
-
Online activity recognition using evolving classifiers
-
Ordonez, F.J.; Iglesias, J.A.; Toledo, P.; Ledezma, A.; Sanchis, A. Online activity recognition using evolving classifiers. Expert Syst. Appl. 2013, 40, 1248-1255.
-
(2013)
Expert Syst. Appl.
, vol.40
, pp. 1248-1255
-
-
Ordonez, F.J.1
Iglesias, J.A.2
Toledo, P.3
Ledezma, A.4
Sanchis, A.5
-
18
-
-
84860459323
-
A Knowledge-Driven Approach to Activity Recognition in Smart Homes
-
Chen, L.; Nugent, C.D.; Wang, H. A Knowledge-Driven Approach to Activity Recognition in Smart Homes. IEEE Trans. Knowl. Data Eng. 2012, 24, 961-974.
-
(2012)
IEEE Trans. Knowl. Data Eng.
, vol.24
, pp. 961-974
-
-
Chen, L.1
Nugent, C.D.2
Wang, H.3
-
19
-
-
77949588459
-
Evidence fusion for activity recognition using the Dempster-Shafer theory of evidence
-
In Larnaca, Cyprus, 5-7 November
-
Liao, J.; Bi, Y.; Nugent, C. Evidence fusion for activity recognition using the Dempster-Shafer theory of evidence. In Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine, Larnaca, Cyprus, 5-7 November 2009; pp. 1-4.
-
(2009)
Proceedings of the 9th International Conference on Information Technology and Applications in Biomedicine
, pp. 1-4
-
-
Liao, J.1
Bi, Y.2
Nugent, C.3
-
20
-
-
78651578036
-
Activity recognition using temporal evidence theory
-
McKeever, S.; Ye, J.; Coyle, L.; Bleakley, C.; Dobson, S. Activity recognition using temporal evidence theory. Ambient Intell. Smart Environ. 2010, 2, 253-269.
-
(2010)
Ambient Intell. Smart Environ.
, vol.2
, pp. 253-269
-
-
McKeever, S.1
Ye, J.2
Coyle, L.3
Bleakley, C.4
Dobson, S.5
-
21
-
-
0035478854
-
Random Forest
-
Breiman, L. Random Forest. Mach. Learn. 2001, 45, 5-32.
-
(2001)
Mach. Learn.
, vol.45
, pp. 5-32
-
-
Breiman, L.1
-
23
-
-
80052973878
-
A Bayesian approach for combining ensembles of GP classifiers
-
In Italy, 15-17 June
-
De Stefano, C.; Fontanella, F.; Folino, G. A Bayesian approach for combining ensembles of GP classifiers. In Proceedings of the 10th International Conference on Multiple Classifier Systems Naples, Italy, 15-17 June 2011; pp. 26-35.
-
(2011)
Proceedings of the 10th International Conference on Multiple Classifier Systems Naples
, pp. 26-35
-
-
De Stefano, C.1
Fontanella, F.2
Folino, G.3
-
24
-
-
84862946446
-
Combination of Evidence-based Classifiers for Text Categorization
-
In Boca Raton, FL, USA, 7-9 November
-
Bi, Y.; Wu, S.; Wang, H.; Guo, G. Combination of Evidence-based Classifiers for Text Categorization. In Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, FL, USA, 7-9 November 2011; pp. 422-429.
-
(2011)
Proceedings of the 23rd IEEE International Conference on Tools with Artificial Intelligence
, pp. 422-429
-
-
Bi, Y.1
Wu, S.2
Wang, H.3
Guo, G.4
-
25
-
-
0037403516
-
Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
-
Kuncheva, L.I.; Whitaker, C.J. Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy. Mach. Learn. 2003, 51, 181-207.
-
(2003)
Mach. Learn.
, vol.51
, pp. 181-207
-
-
Kuncheva, L.I.1
Whitaker, C.J.2
-
26
-
-
10444259853
-
Creating diversity in ensembles using artificial data
-
Melville, P.; Mooney, R. Creating diversity in ensembles using artificial data. Inf. Fusion 2004, 6, 99-111.
-
(2004)
Inf. Fusion
, vol.6
, pp. 99-111
-
-
Melville, P.1
Mooney, R.2
-
27
-
-
84948152666
-
Using Diversity in Preparing Ensembles of Classifiers Based on Different Features Subsets to Minimize Generalization Error
-
In Freiburg, Germany, 5-7 September
-
Zenobi, G.; Cunningham, P. Using Diversity in Preparing Ensembles of Classifiers Based on Different Features Subsets to Minimize Generalization Error. In Proceedings of the 12th European Conference on Machine Learning, Freiburg, Germany, 5-7 September 2001; pp. 576-587.
-
(2001)
Proceedings of the 12th European Conference on Machine Learning
, pp. 576-587
-
-
Zenobi, G.1
Cunningham, P.2
-
28
-
-
0030211964
-
Bagging Predictors
-
Breiman, L. Bagging Predictors. Mach. Learn. 1996, 24, 123-140.
-
(1996)
Mach. Learn.
, vol.24
, pp. 123-140
-
-
Breiman, L.1
-
31
-
-
75049085494
-
Object relevance weight pattern mining for activity recognition and segmentation
-
Palmes, P.; Pung, H.K.; Gu, T.; Xue, W.; Chen, S. Object relevance weight pattern mining for activity recognition and segmentation. Pervasive Mobile Comput. 2010, 6, 43-57.
-
(2010)
Pervasive Mobile Comput.
, vol.6
, pp. 43-57
-
-
Palmes, P.1
Pung, H.K.2
Gu, T.3
Xue, W.4
Chen, S.5
-
32
-
-
76749092270
-
The Weka Data Mining Software: An Update
-
Hall, M.; Frank, E.; Holmes, G.; Pfahringer, B.; Reutemann, P.; Witten I.H. The Weka Data Mining Software: An Update; SIGKDD Explor. 2009, 11, 10-18.
-
(2009)
SIGKDD Explor.
, vol.11
, pp. 10-18
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemann, P.5
Witten, I.H.6
-
33
-
-
85057943047
-
Random decisions forests
-
In Montréal, QC, Canada, 14-16 August
-
Ho, T.K. Random decisions forests. In Proceedings of the International Conference on Document Analysis and Recognition, Montréal, QC, Canada, 14-16 August 1995; pp. 278-282.
-
(1995)
Proceedings of the International Conference on Document Analysis and Recognition
, pp. 278-282
-
-
Ho, T.K.1
-
34
-
-
0032139235
-
The random supspace method for construction decision trees
-
Ho. T.K. The random supspace method for construction decision trees. IEEE Trans. Pettern Anal. Mach. Intel. 1998, 20, 832-844.
-
(1998)
IEEE Trans. Pettern Anal. Mach. Intel.
, vol.20
, pp. 832-844
-
-
Ho, T.K.1
-
35
-
-
84864758525
-
Evaluation: From Precision, Recall and F-Factor to ROC, Informedness, Markedness & Correlation
-
Powers, D. Evaluation: From Precision, Recall and F-Factor to ROC, Informedness, Markedness & Correlation. Mach. Learn. Technol. 2011, 2, 37-63.
-
(2011)
Mach. Learn. Technol.
, vol.2
, pp. 37-63
-
-
Powers, D.1
|