Hesam Sagha, Ph.D.
Affiliations: | École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland |
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"Hesam Sagha"Mean distance: 16.76 (cluster 17) | S | N | B | C | P |
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Publications
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Sagha H, Cummins N, Schuller B. (2017) Stacked denoising autoencoders for sentiment analysis: a review Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. 7: e1212 |
Sagha H, Li F, Variani E, et al. (2016) Stream fusion for multi-stream automatic speech recognition International Journal of Speech Technology. 19: 669-675 |
Sagha H, Perdikis S, Millán Jdel R, et al. (2015) Quantifying electrode reliability during brain-computer interface operation. Ieee Transactions On Bio-Medical Engineering. 62: 858-64 |
Sagha H, Calatroni A, Millán JDR, et al. (2013) Robust activity recognition combining anomaly detection and classifier retraining 2013 Ieee International Conference On Body Sensor Networks, Bsn 2013 |
Sagha H, Bayati H, Millán JDR, et al. (2013) On-line anomaly detection and resilience in classifier ensembles Pattern Recognition Letters. 34: 1916-1927 |
Chavarriaga R, Sagha H, Calatroni A, et al. (2013) The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition Pattern Recognition Letters. 34: 2033-2042 |
Baños O, Calatroni A, Damas M, et al. (2012) Kinect=IMU? Learning MIMO signal mappings to automatically translate activity recognition systems across sensor modalities Proceedings - International Symposium On Wearable Computers, Iswc. 92-99 |
Leeb R, Sagha H, Chavarriaga R, et al. (2011) A hybrid brain-computer interface based on the fusion of electroencephalographic and electromyographic activities. Journal of Neural Engineering. 8: 025011 |
Kurz M, Hölzl G, Ferscha A, et al. (2011) Dynamic quantification of activity recognition capabilities in opportunistic systems Ieee Vehicular Technology Conference |
Sagha H, Millán JDR, Chavarriaga R. (2011) Detecting anomalies to improve classification performance in opportunistic sensor networks 2011 Ieee International Conference On Pervasive Computing and Communications Workshops, Percom Workshops 2011. 154-159 |