{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T14:47:18Z","timestamp":1747061238659},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319700953"},{"type":"electronic","value":"9783319700960"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-70096-0_73","type":"book-chapter","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T21:33:18Z","timestamp":1508880798000},"page":"718-727","source":"Crossref","is-referenced-by-count":20,"title":["Optimized Echo State Network with Intrinsic Plasticity for EEG-Based Emotion Recognition"],"prefix":"10.1007","author":[{"given":"Rahma","family":"Fourati","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boudour","family":"Ammar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaouki","family":"Aouiti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier","family":"Sanchez-Medina","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adel M.","family":"Alimi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,26]]},"reference":[{"key":"73_CR1","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1080\/02699930802204677","volume":"23","author":"IB Mauss","year":"2009","unstructured":"Mauss, I.B., Robinson, M.D.: Measures of emotion: a review. Cogn. Emot. 23, 209\u2013237 (2009)","journal-title":"Cogn. Emot."},{"key":"73_CR2","volume-title":"Basic Emotions in Handbook of Cognition and Emotion","author":"P Ekman","year":"1999","unstructured":"Ekman, P.: Basic Emotions in Handbook of Cognition and Emotion. Wiley, New York (1999)"},{"key":"73_CR3","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1037\/0022-3514.37.3.345","volume":"37","author":"JA Russell","year":"1979","unstructured":"Russell, J.A.: Affective space is bipolar. J. Pers. Soc. Psychol. 37, 345\u2013356 (1979)","journal-title":"J. Pers. Soc. Psychol."},{"key":"73_CR4","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/BF02686918","volume":"14","author":"A Mehrabian","year":"1996","unstructured":"Mehrabian, A.: Pleasure-arousal-dominance: a general framework for describing and measuring individual differences in temperament. Current Psychol. 14, 261\u2013292 (1996)","journal-title":"Current Psychol."},{"key":"73_CR5","doi-asserted-by":"crossref","unstructured":"Bezine, H., Alimi, A.M., Derbel, N.: Handwriting trajectory movements controlled by a b\u00eata-elliptic model. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, p. 1228 (2003)","DOI":"10.1109\/ICDAR.2003.1227853"},{"key":"73_CR6","doi-asserted-by":"crossref","unstructured":"Ben Moussa, S., Zahour, A., Benabdelhafid, A., Alimi, A.M.: New features using fractal multi-dimensions for generalized Arabic font recognition. Pattern Recognition Letters, vol. 31 (5), pp. 361\u2013371 (2010)","DOI":"10.1016\/j.patrec.2009.10.015"},{"issue":"5","key":"73_CR7","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1080\/03772063.2002.11416300","volume":"48","author":"AM Alimi","year":"2002","unstructured":"Alimi, A.M.: Evolutionary computation for the recognition of on-line cursive handwriting. IETE J. Res. 48(5), 385\u2013396 (2002). SPEC","journal-title":"IETE J. Res."},{"key":"73_CR8","doi-asserted-by":"crossref","unstructured":"Boubaker, H., Kherallah, M., Alimi, A.M.: New algorithm of straight or curved baseline detection for short arabic handwritten writing. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, p. 778 (2009)","DOI":"10.1109\/ICDAR.2009.265"},{"key":"73_CR9","doi-asserted-by":"crossref","unstructured":"Elbaati, A., Boubaker, H., Kherallah, M., Alimi, A.M., Ennaji, A., Abed, H.E.: Arabic handwriting recognition using restored stroke chronology. In: Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, p. 411 (2009)","DOI":"10.1109\/ICDAR.2009.262"},{"issue":"2","key":"73_CR10","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.patrec.2012.09.012","volume":"34","author":"F Slimane","year":"2013","unstructured":"Slimane, F., Kanoun, S., Hennebert, J., Alimi, A.M., Ingold, R.: A study on font-family and font-size recognition applied to Arabic word images at ultra-low resolution. Pattern Recogn. Lett. 34(2), 209\u2013218 (2013)","journal-title":"Pattern Recogn. Lett."},{"key":"73_CR11","unstructured":"Jaeger, H.: A tutorial on training recurrent neural networks, covering bppt, rtrl, ekf and the echo state network approach. Technical report, German National Research Center for Information Technology (2013)"},{"key":"73_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/11550822_11","volume-title":"Artificial Neural Networks: Biological Inspirations \u2013 ICANN 2005","author":"J Triesch","year":"2005","unstructured":"Triesch, J.: A gradient rule for the plasticity of a neuron\u2019s intrinsic excitability. In: Duch, W., Kacprzyk, J., Oja, E., Zadro\u017cny, S. (eds.) ICANN 2005. LNCS, vol. 3696, pp. 65\u201370. Springer, Heidelberg (2005). doi: 10.1007\/11550822_11"},{"key":"73_CR13","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/T-AFFC.2011.15","volume":"3","author":"S Koelstra","year":"2012","unstructured":"Koelstra, S., et al.: DEAP: a database for emotion analysis using physiological signals. IEEE Trans. Affective Comput. 3, 18\u201331 (2012)","journal-title":"IEEE Trans. Affective Comput."},{"key":"73_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/978-3-642-38803-3_6","volume-title":"Transactions on Computational Science XVIII","author":"Y Liu","year":"2013","unstructured":"Liu, Y., Sourina, O.: Real-time fractal-based valence level recognition from EEG. In: Gavrilova, Marina L., Tan, C.J.Kenneth, Kuijper, A. (eds.) Transactions on Computational Science XVIII. LNCS, vol. 7848, pp. 101\u2013120. Springer, Heidelberg (2013). doi: 10.1007\/978-3-642-38803-3_6"},{"key":"73_CR15","doi-asserted-by":"crossref","unstructured":"Bahari, F., Janghorbani, A.: EEG-based emotion recognition using recurrence plot analysis and k nearest neighbor classifier. In 20th Iranian Conference on Biomedical Engineering (ICBME), pp. 228\u2013233 (2013)","DOI":"10.1109\/ICBME.2013.6782224"},{"issue":"4","key":"73_CR16","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1007\/s11280-012-0181-5","volume":"16","author":"X Zhang","year":"2013","unstructured":"Zhang, X., Hu, B., Chen, J., Moore, P.: Ontology-based context modeling for emotion recognition in an intelligent web. World Wide Web 16(4), 497\u2013513 (2013)","journal-title":"World Wide Web"},{"key":"73_CR17","doi-asserted-by":"crossref","unstructured":"Zhuang, X., Rozgic, V., Crystal, M.: Compact unsupervised EEG response representation for emotion recognition. In: International Conference on Biomedical and Health Informatics (BHI), pp. 736\u2013739 (2014)","DOI":"10.1109\/BHI.2014.6864469"},{"key":"73_CR18","doi-asserted-by":"crossref","unstructured":"Torres-Valencia, C., Garcia-Arias, H., Alvarez Lopez, M., Orozco-Gutierrez, A.: Comparative analysis of physiological signals and electroencephalogram (EEG) for multimodal emotion recognition using generative models. In: XIX Symposium on Image, Signal Processing and Artificial Vision (STSIVA), pp. 1\u20135 (2014)","DOI":"10.1109\/STSIVA.2014.7010181"},{"key":"73_CR19","unstructured":"Li, X., Zhang, P., Song, D., Yu, G., Hou, Y., Hu, B.: EEG based emotion identification using unsupervised deep feature learning. In: SIGIR2015 Workshop on Neuro-Physiological Methods in IR Research (2015)"},{"key":"73_CR20","unstructured":"Zheng, W.-L., Zhu, J.-Y., Lu, B.-L.: Identifying stable patterns over time for emotion recognition from EEG. IEEE Trans. Affective Comput. 8 (2017)"},{"key":"73_CR21","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.neucom.2016.03.108","volume":"231","author":"L Bozhkov","year":"2017","unstructured":"Bozhkov, L., Koprinkova-Hristova, P., Georgieva, P.: Reservoir computing for emotion valence discrimination from EEG signals. Neurocomputing 231, 28\u201340 (2017)","journal-title":"Neurocomputing"},{"key":"73_CR22","doi-asserted-by":"crossref","unstructured":"Dhahri, H., Alimi, A.M.: The modified differential evolution and the RBF (MDE-RBF) neural network for time series prediction. In: Proceedings of IEEE International Conference on Neural Networks, p. 2938 (2006)","DOI":"10.1109\/IJCNN.2006.247227"},{"key":"73_CR23","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.neucom.2013.01.024","volume":"117","author":"S Bouaziz","year":"2013","unstructured":"Bouaziz, S., Dhahri, H., Alimi, A.M., Abraham, A.: A hybrid learning algorithm for evolving flexible beta basis function neural tree model. Neurocomputing 117, 107\u2013117 (2013)","journal-title":"Neurocomputing"},{"key":"73_CR24","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.asoc.2017.01.049","volume":"55","author":"N Chouikhi","year":"2017","unstructured":"Chouikhi, N., Ammar, B., Rokabni, N., Alimi, A.M., Abraham, A.: PSO-based analysis of Echo State Network parameters for time series forecasting. Appl. Soft Comput. 55, 211\u2013225 (2017)","journal-title":"Appl. Soft Comput."},{"key":"73_CR25","doi-asserted-by":"crossref","unstructured":"Chouikhi, N., Fdhila, R., Ammar, B., Rokbani, N., Alimi, A.M.: Single- and multi-objective particle swarm optimization of reservoir structure in echo state network. In: IEEE International Joint Conference on Neural Networks, Vancouver, Canada (2016)","DOI":"10.1109\/IJCNN.2016.7727232"},{"issue":"3","key":"73_CR26","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.neunet.2007.04.011","volume":"20","author":"JJ Steil","year":"2007","unstructured":"Steil, J.J.: Online reservoir adaptation by intrinsic plasticity for backpropagation-decorrelation and echo state learning. IEEE Trans. Neural Netw. 20(3), 353\u2013364 (2007)","journal-title":"IEEE Trans. Neural Netw."},{"key":"73_CR27","unstructured":"Wardermann, M., Steil, J.J.: Intrinsic plasticity for reservoir learning algorithms. In: Verleysen, M. (ed.) Advances in Computational Intelligence and Learning (ESANN 2007), pp. 513\u2013518 (2007)"},{"key":"73_CR28","doi-asserted-by":"crossref","first-page":"1159","DOI":"10.1016\/j.neucom.2007.12.020","volume":"71","author":"B Schrauwen","year":"2008","unstructured":"Schrauwen, B., Wandermann, M., Verstraeten, M., Steil, J.J., Stroobandt, D.: Improving reservoirs using intrinsic plasticity. Neurocomputing 71, 1159\u20131171 (2008)","journal-title":"Neurocomputing"},{"key":"73_CR29","doi-asserted-by":"crossref","unstructured":"Koprinkova-Hristova, P.: On effects of IP improvement of ESN reservoirs for reflecting of data structure. In: IEEE International Joint Conference on Neural Networks (2015)","DOI":"10.1109\/IJCNN.2015.7280703"},{"key":"73_CR30","doi-asserted-by":"crossref","unstructured":"Liu, Y., Sourina, O.: EEG databases for emotion recognition. In: International Conference on Cyberworlds (2013)","DOI":"10.1109\/CW.2013.52"}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-70096-0_73","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T23:31:05Z","timestamp":1570231865000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-70096-0_73"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319700953","9783319700960"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-70096-0_73","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}