Hesam Sagha

According to our database, Hesam Sagha authored at least 27 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep Learning-Based Assessment of Facial Periodic Affect in Work-Like Settings.

Siyang Song, Yiming Luo, Vincenzo Ronca, Gianluca Borghini, Hesam Sagha, Vera Barbara Rick, Alexander Mertens, Hatice Gunes

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2018

MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis.

Paul Buitelaar, Ian D. Wood, Sapna Negi, Mihael Arcan, John P. McCrae, Andrejs Abele, Cécile Robin, Vladimir Andryushechkin, Housam Ziad, Hesam Sagha, Maximilian Schmitt, Björn W. Schuller, J. Fernando Sánchez-Rada, Carlos Angel Iglesias, Carlos Navarro, Andreas Giefer, Nicolaus Heise, Vincenzo Masucci, Francesco A. Danza, Ciro Caterino, Pavel Smrz, Michal Hradis, Filip Povolný, Marek Klimes, Pavel Matejka, Giovanni Tummarello

IEEE Trans. Multim., 2018

audEERING's approach to the One-Minute-Gradual Emotion Challenge.

Andreas Triantafyllopoulos, Hesam Sagha, Florian Eyben, Björn W. Schuller

CoRR, 2018

2017

Stacked denoising autoencoders for sentiment analysis: a review.

Hesam Sagha, Nicholas Cummins, Björn W. Schuller

WIREs Data Mining Knowl. Discov., 2017

Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition.

Bogdan Vlasenko, Hesam Sagha, Nicholas Cummins, Björn W. Schuller

Proceedings of the Interspeech 2017, 2017

Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings.

Simone Hantke, Hesam Sagha, Nicholas Cummins, Björn W. Schuller

Proceedings of the Interspeech 2017, 2017

Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features.

Nicholas Cummins, Bogdan Vlasenko, Hesam Sagha, Björn W. Schuller

Proceedings of the Artificial Intelligence in Medicine, 2017

Multimodal multimodel emotion analysis as linked data.

J. Fernando Sánchez-Rada, Carlos Angel Iglesias, Hesam Sagha, Björn W. Schuller, Ian D. Wood, Paul Buitelaar

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, 2017

The effect of personality trait, age, and gender on the performance of automatic speech valence recognition.

Hesam Sagha, Jun Deng, Björn W. Schuller

Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017

2016

Stream fusion for multi-stream automatic speech recognition.

Hesam Sagha, Feipeng Li, Ehsan Variani, José del R. Millán, Ricardo Chavarriaga, Björn W. Schuller

Int. J. Speech Technol., 2016

Enhancing Multilingual Recognition of Emotion in Speech by Language Identification.

Hesam Sagha, Pavel Matejka, Maryna Gavryukova, Filip Povolný, Erik Marchi, Björn W. Schuller

Proceedings of the Interspeech 2016, 2016

Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace.

Hesam Sagha, Jun Deng, Maryna Gavryukova, Jing Han, Björn W. Schuller

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Quantifying Electrode Reliability During Brain-Computer Interface Operation.

Hesam Sagha, Serafeim Perdikis, José del R. Millán, Ricardo Chavarriaga

IEEE Trans. Biomed. Eng., 2015

Exploring the Importance of Individual Differences to the Automatic Estimation of Emotions Induced by Music.

Hesam Sagha, Eduardo Coutinho, Björn W. Schuller

Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, 2015

2013

On-line anomaly detection and resilience in classifier ensembles.

Hesam Sagha, Hamidreza Bayati, José del R. Millán, Ricardo Chavarriaga

Pattern Recognit. Lett., 2013

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition.

Ricardo Chavarriaga, Hesam Sagha, Alberto Calatroni, Sundara Tejaswi Digumarti, Gerhard Tröster, José del R. Millán, Daniel Roggen

Pattern Recognit. Lett., 2013

Robust activity recognition combining anomaly detection and classifier retraining.

Hesam Sagha, Alberto Calatroni, José del R. Millán, Daniel Roggen, Gerhard Tröster, Ricardo Chavarriaga

Proceedings of the 2013 IEEE International Conference on Body Sensor Networks, 2013

2012

OPPORTUNITY Activity Recognition.

Daniel Roggen, Alberto Calatroni, Long-Van Nguyen-Dinh, Ricardo Chavarriaga, Hesam Sagha

Dataset, June, 2012

Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities.

Oresti Baños, Alberto Calatroni, Miguel Damas, Héctor Pomares, Ignacio Rojas, Hesam Sagha, José del R. Millán, Gerhard Tröster, Ricardo Chavarriaga, Daniel Roggen

Proceedings of the 16th International Symposium on Wearable Computers, 2012

2011

Activity Recognition in Opportunistic Sensor Environments.

Daniel Roggen, Alberto Calatroni, Kilian Förster, Gerhard Tröster, Paul Lukowicz, David Bannach, Alois Ferscha, Marc Kurz, Gerold Hölzl, Hesam Sagha, Hamidreza Bayati, José del R. Millán, Ricardo Chavarriaga

Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems.

Marc Kurz, Gerold Hölzl, Alois Ferscha, Hesam Sagha, José del R. Millán, Ricardo Chavarriaga

Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011

Benchmarking classification techniques using the Opportunity human activity dataset.

Hesam Sagha, Sundara Tejaswi Digumarti, José del R. Millán, Ricardo Chavarriaga, Alberto Calatroni, Daniel Roggen, Gerhard Tröster

Proceedings of the IEEE International Conference on Systems, 2011

Ensemble creation and reconfiguration for activity recognition: An information theoretic approach.

Ricardo Chavarriaga, Hesam Sagha, José del R. Millán

Proceedings of the IEEE International Conference on Systems, 2011

Detecting anomalies to improve classification performance in opportunistic sensor networks.

Hesam Sagha, José del R. Millán, Ricardo Chavarriaga

Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

Detecting and Rectifying Anomalies in Body Sensor Networks.

Hesam Sagha, José del R. Millán, Ricardo Chavarriaga

Proceedings of the International Conference on Body Sensor Networks, 2011

2010

Reinforcement Learning Based on Active Learning Method

Hesam Sagha, Saeed Bagheri Shouraki, Seyed Hossein Khasteh, Ali Akbar Kiaei

CoRR, 2010

Collecting complex activity datasets in highly rich networked sensor environments.

Daniel Roggen, Alberto Calatroni, Mirco Rossi, Thomas Holleczek, Kilian Förster, Gerhard Tröster, Paul Lukowicz, David Bannach, Gerald Pirkl, Alois Ferscha, Jakob Doppler, Clemens Holzmann, Marc Kurz, Gerald Holl, Ricardo Chavarriaga, Hesam Sagha, Hamidreza Bayati, Marco Creatura, José del R. Millán

Proceedings of the Seventh International Conference on Networked Sensing Systems, 2010