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ORCIDHesam Sagha
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- affiliation: audEERING GmbH, Gilching, Germany
- affiliation: University of Passau, Passau, Germany
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Journal Articles
- 2018
[j6]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:
MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis. IEEE Trans. Multim. 20(9): 2454-2465 (2018)- 2017
- [j5]Hesam Sagha, Nicholas Cummins, Björn W. Schuller:
Stacked denoising autoencoders for sentiment analysis: a review. WIREs Data Mining Knowl. Discov. 7(5) (2017) - 2016
- [j4]Hesam Sagha, Feipeng Li, Ehsan Variani, José del R. Millán, Ricardo Chavarriaga, Björn W. Schuller:
Stream fusion for multi-stream automatic speech recognition. Int. J. Speech Technol. 19(4): 669-675 (2016) - 2015
- [j3]Hesam Sagha, Serafeim Perdikis, José del R. Millán, Ricardo Chavarriaga:
Quantifying Electrode Reliability During Brain-Computer Interface Operation. IEEE Trans. Biomed. Eng. 62(3): 858-864 (2015) - 2013
- [j2]Hesam Sagha, Hamidreza Bayati, José del R. Millán, Ricardo Chavarriaga:
On-line anomaly detection and resilience in classifier ensembles. Pattern Recognit. Lett. 34(15): 1916-1927 (2013) - [j1]Ricardo Chavarriaga, Hesam Sagha, Alberto Calatroni, Sundara Tejaswi Digumarti, Gerhard Tröster, José del R. Millán, Daniel Roggen:
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition. Pattern Recognit. Lett. 34(15): 2033-2042 (2013)
Conference and Workshop Papers
- 2025
- [c21]Pascal Hecker, Monica González Machorro, Hesam Sagha, Saumya Dudeja, Matthias Kahlau, Florian Eyben, Björn W. Schuller, Bert Arnrich:
Mental Wellbeing at Sea: A Prototype to Collect Speech Data in Maritime Settings. BIOSTEC (2): HEALTHINF 2025: 29-40 - [c20]Monica González Machorro, Uwe D. Reichel, Pascal Hecker, Helly N. Hammer, Hesam Sagha, Florian Eyben, Robert Hoepner, Björn W. Schuller:
Speech-Based Depressive Mood Detection in the Presence of Multiple Sclerosis: A Cross-Corpus and Cross-Lingual Study. ICNLSP 2025: 283-292 - 2023
- [c19]Monica González Machorro, Pascal Hecker, Uwe D. Reichel, Helly N. Hammer, Robert Hoepner, Lisa Pedrotti, Alisha Zmutt, Hesam Sagha, Johan van Beek, Florian Eyben, Dagmar M. Schuller, Björn W. Schuller, Bert Arnrich:
Towards Supporting an Early Diagnosis of Multiple Sclerosis using Vocal Features. INTERSPEECH 2023: 1518-1522 - 2022
- [c18]Siyang Song, Yiming Luo, Vincenzo Ronca, Gianluca Borghini, Hesam Sagha, Vera Barbara Rick, Alexander Mertens, Hatice Gunes:
Deep Learning-Based Assessment of Facial Periodic Affect in Work-Like Settings. ECCV Workshops (5) 2022: 307-322 - 2017
- [c17]Hesam Sagha, Jun Deng, Björn W. Schuller:
The effect of personality trait, age, and gender on the performance of automatic speech valence recognition. ACII 2017: 86-91 - [c16]J. Fernando Sánchez-Rada, Carlos Angel Iglesias, Hesam Sagha, Björn W. Schuller, Ian D. Wood, Paul Buitelaar:
Multimodal multimodel emotion analysis as linked data. ACII Workshops 2017: 111-116 - [c15]Nicholas Cummins, Bogdan Vlasenko, Hesam Sagha, Björn W. Schuller:
Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features. AIME 2017: 209-214 - [c14]Simone Hantke, Hesam Sagha, Nicholas Cummins, Björn W. Schuller:
Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings. INTERSPEECH 2017: 3137-3141 - [c13]Bogdan Vlasenko, Hesam Sagha, Nicholas Cummins, Björn W. Schuller:
Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition. INTERSPEECH 2017: 3266-3270 - 2016
- [c12]Hesam Sagha, Jun Deng, Maryna Gavryukova, Jing Han, Björn W. Schuller:
Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace. ICASSP 2016: 5800-5804 - [c11]Hesam Sagha, Pavel Matejka, Maryna Gavryukova, Filip Povolný, Erik Marchi, Björn W. Schuller:
Enhancing Multilingual Recognition of Emotion in Speech by Language Identification. INTERSPEECH 2016: 2949-2953 - 2015
- [c10]Hesam Sagha, Eduardo Coutinho, Björn W. Schuller:
Exploring the Importance of Individual Differences to the Automatic Estimation of Emotions Induced by Music. AVEC@ACM Multimedia 2015: 57-63 - 2013
- [c9]Hesam Sagha, Alberto Calatroni, José del R. Millán, Daniel Roggen, Gerhard Tröster, Ricardo Chavarriaga:
Robust activity recognition combining anomaly detection and classifier retraining. BSN 2013: 1-6 - 2012
- [c8]Oresti Baños, Alberto Calatroni, Miguel Damas, Héctor Pomares, Ignacio Rojas, Hesam Sagha, José del R. Millán, Gerhard Tröster, Ricardo Chavarriaga, Daniel Roggen:
Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities. ISWC 2012: 92-99 - 2011
- [c7]Hesam Sagha, José del R. Millán, Ricardo Chavarriaga:
Detecting and Rectifying Anomalies in Body Sensor Networks. BSN 2011: 162-167 - [c6]Hesam Sagha, José del R. Millán, Ricardo Chavarriaga:
Detecting anomalies to improve classification performance in opportunistic sensor networks. PerCom Workshops 2011: 154-159 - [c5]Hesam Sagha, Sundara Tejaswi Digumarti, José del R. Millán, Ricardo Chavarriaga, Alberto Calatroni, Daniel Roggen, Gerhard Tröster:
Benchmarking classification techniques using the Opportunity human activity dataset. SMC 2011: 36-40 - [c4]Ricardo Chavarriaga, Hesam Sagha, José del R. Millán:
Ensemble creation and reconfiguration for activity recognition: An information theoretic approach. SMC 2011: 2761-2766 - [c3]Marc Kurz, Gerold Hölzl, Alois Ferscha, Hesam Sagha, José del R. Millán, Ricardo Chavarriaga:
Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems. VTC Spring 2011: 1-5 - [c2]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:
Activity Recognition in Opportunistic Sensor Environments. FET 2011: 173-174 - 2010
- [c1]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:
Collecting complex activity datasets in highly rich networked sensor environments. INSS 2010: 233-240
Data and Artifacts
- 2012
- [d1]Daniel Roggen, Alberto Calatroni, Long-Van Nguyen-Dinh, Ricardo Chavarriaga, Hesam Sagha:
OPPORTUNITY Activity Recognition. UCI Machine Learning Repository, 2012
Informal and Other Publications
- 2025
- [i3]Monica González Machorro, Uwe D. Reichel, Pascal Hecker, Helly N. Hammer, Hesam Sagha, Florian Eyben, Robert Hoepner, Björn W. Schuller:
Speech-Based Depressive Mood Detection in the Presence of Multiple Sclerosis: A Cross-Corpus and Cross-Lingual Study. CoRR abs/2508.18092 (2025) - 2018
- [i2]Andreas Triantafyllopoulos, Hesam Sagha, Florian Eyben, Björn W. Schuller:
audEERING's approach to the One-Minute-Gradual Emotion Challenge. CoRR abs/1805.01222 (2018) - 2010
- [i1]Hesam Sagha, Saeed Bagheri Shouraki, Seyed Hossein Khasteh, Ali Akbar Kiaei:
Reinforcement Learning Based on Active Learning Method. CoRR abs/1011.1660 (2010)
Coauthor Index
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