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; et al. (INSS, 2010)

Reinforcement Learning Based on Active Learning Method - Hesam Sagha; Saeed Bagheri Shouraki; Seyed Hossein Khasteh; Ali Akbar Kiaei (CoRR, 2010)

Detecting and Rectifying Anomalies in Body Sensor Networks. - Hesam Sagha; José del R. Millán; Ricardo Chavarriaga (BSN, 2011)

Detecting anomalies to improve classification performance in opportunistic sensor networks. - Hesam Sagha; José del R. Millán; Ricardo Chavarriaga (PerCom Workshops, 2011)

Ensemble creation and reconfiguration for activity recognition: An information theoretic approach. - Ricardo Chavarriaga; Hesam Sagha; José del R. Millán (SMC, 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 (SMC, 2011)

Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems. - Marc Kurz; Gerold Hölzl; Alois Ferscha; Hesam Sagha; José del R. Millán; Ricardo Chavarriaga (VTC Spring, 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; et al. (FET, 2011)

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 (ISWC, 2012)

OPPORTUNITY Activity Recognition. - Daniel Roggen; Alberto Calatroni; Long-Van Nguyen-Dinh; Ricardo Chavarriaga; Hesam Sagha (UCI Machine Learning Repository, 2012)

Robust activity recognition combining anomaly detection and classifier retraining. - Hesam Sagha; Alberto Calatroni; José del R. Millán; Daniel Roggen; Gerhard Tröster; Ricardo Chavarriaga (BSN, 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)

On-line anomaly detection and resilience in classifier ensembles. - Hesam Sagha; Hamidreza Bayati; José del R. Millán; Ricardo Chavarriaga (Pattern Recognit. Lett., 2013)

Exploring the Importance of Individual Differences to the Automatic Estimation of Emotions Induced by Music. - Hesam Sagha; Eduardo Coutinho; Björn W. Schuller (AVEC@ACM Multimedia, 2015)

Quantifying Electrode Reliability During Brain-Computer Interface Operation. - Hesam Sagha; Serafeim Perdikis; José del R. Millán; Ricardo Chavarriaga (IEEE Trans. Biomed. Eng., 2015)

Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace. - Hesam Sagha; Jun Deng; Maryna Gavryukova; Jing Han 010; Björn W. Schuller (ICASSP, 2016)

Enhancing Multilingual Recognition of Emotion in Speech by Language Identification. - Hesam Sagha; Pavel Matejka; Maryna Gavryukova; Filip Povolný; Erik Marchi; Björn W. Schuller (INTERSPEECH, 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)

The effect of personality trait, age, and gender on the performance of automatic speech valence recognition. - Hesam Sagha; Jun Deng; Björn W. Schuller (ACII, 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 (ACII Workshops, 2017)

Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features. - Nicholas Cummins; Bogdan Vlasenko; Hesam Sagha; Björn W. Schuller (AIME, 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 (INTERSPEECH, 2017)

Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition. - Bogdan Vlasenko; Hesam Sagha; Nicholas Cummins; Björn W. Schuller (INTERSPEECH, 2017)

Stacked denoising autoencoders for sentiment analysis: a review. - Hesam Sagha; Nicholas Cummins; Björn W. Schuller (WIREs Data Mining Knowl. Discov., 2017)

audEERING's approach to the One-Minute-Gradual Emotion Challenge. - Andreas Triantafyllopoulos; Hesam Sagha; Florian Eyben; Björn W. Schuller (CoRR, 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; et al. (IEEE Trans. Multim., 2018)

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 (ECCV Workshops (5), 2022)

Towards Supporting an Early Diagnosis of Multiple Sclerosis using Vocal Features. - 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; et al. (INTERSPEECH, 2023)

Mental Wellbeing at Sea: A Prototype to Collect Speech Data in Maritime Settings. - Pascal Hecker; Monica González Machorro; Hesam Sagha; Saumya Dudeja; Matthias Kahlau; Florian Eyben; Björn W. Schuller; Bert Arnrich (BIOSTEC (2): HEALTHINF, 2025)