{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:02:06Z","timestamp":1730296926156,"version":"3.28.0"},"reference-count":10,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/siu.2017.7960559","type":"proceedings-article","created":{"date-parts":[[2017,6,29]],"date-time":"2017-06-29T17:28:34Z","timestamp":1498757314000},"page":"1-4","source":"Crossref","is-referenced-by-count":3,"title":["Human activity recognition with different artificial neural network based classifiers"],"prefix":"10.1109","author":[{"given":"Burak","family":"Catalbas","sequence":"first","affiliation":[]},{"given":"Bahadir","family":"Catalbas","sequence":"additional","affiliation":[]},{"given":"Omer","family":"Morgul","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","first-page":"443","article-title":"A one-vs-one classifier ensemble with majority voting for activity recognition","author":"romera-paredes","year":"2013","journal-title":"ESANN 2013 proceedings 21st European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning"},{"key":"ref3","article-title":"A public domain dataset for human activity recognition using smartphones","author":"anguita","year":"2013","journal-title":"21 th European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning ESANN 2013"},{"key":"ref10","first-page":"66","article-title":"Context dynamics in neural sequential learning","author":"kirby","year":"1991","journal-title":"Proceedings of the Florida AI Research Symposium"},{"key":"ref6","article-title":"Human activity and motion disorder recognition: towards smarter interactive cognitive environments","author":"reyes-ortiz","year":"2013","journal-title":"ESANN"},{"key":"ref5","article-title":"A sparse kernelized matrixlearning vector quantization model for human activity recognition","author":"k\u00e4stner","year":"2013","journal-title":"ESANN"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1007\/BF02478259"},{"key":"ref7","first-page":"216","article-title":"Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine","author":"anguita","year":"2012","journal-title":"International Workshop on Ambient Assisted Living"},{"key":"ref2","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"year":"2014","author":"grezes","journal-title":"Reservoir Computing","key":"ref9"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1109\/SIU.2014.6830479"}],"event":{"name":"2017 25th Signal Processing and Communications Applications Conference (SIU)","start":{"date-parts":[[2017,5,15]]},"location":"Antalya, Turkey","end":{"date-parts":[[2017,5,18]]}},"container-title":["2017 25th Signal Processing and Communications Applications Conference (SIU)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7951214\/7960135\/07960559.pdf?arnumber=7960559","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,10,2]],"date-time":"2017-10-02T23:48:12Z","timestamp":1506988092000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7960559\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/siu.2017.7960559","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}