Hesam Sagha

发表

Collecting complex activity datasets in highly rich networked sensor environments

Paul Lukowicz, Ricardo Chavarriaga, José del R. Millán, 2010, 2010 Seventh International Conference on Networked Sensing Systems (INSS).

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

Björn W. Schuller, Nicholas Cummins, Hesam Sagha, 2017, AIME.

Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems

Ricardo Chavarriaga, José del R. Millán, Alois Ferscha, 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

Stream fusion for multi-stream automatic speech recognition

Björn W. Schuller, Ricardo Chavarriaga, José del R. Millán, 2016, Int. J. Speech Technol..

Working Age: Providing Occupational Safety through Pervasive Sensing and Data Driven Behavior Modeling

Alessandro Barenghi, Gerardo Pelosi, Gianluca Borghini, 2020, Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.

Activity Recognition in Opportunistic Sensor Environments

Paul Lukowicz, Ricardo Chavarriaga, José del R. Millán, 2011, FET.

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

Björn W. Schuller, Florian Eyben, Hesam Sagha, 2018, ArXiv.

Robust activity recognition for assistive technologies: Benchmarking machine learning techniques

Paul Lukowicz, Ricardo Chavarriaga, José del R. Millán, 2010, NIPS 2010.

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

Héctor Pomares, Ignacio Rojas, Ricardo Chavarriaga, 2012, 2012 16th International Symposium on Wearable Computers.

Multimodal multimodel emotion analysis as linked data

J. Fernando Sánchez-Rada, Carlos Angel Iglesias, Paul Buitelaar, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Quantifying Electrode Reliability During Brain–Computer Interface Operation

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2015, IEEE Transactions on Biomedical Engineering.

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

Björn W. Schuller, Nicholas Cummins, Hesam Sagha, 2017, INTERSPEECH.

On-line anomaly detection and resilience in classifier ensembles

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2013, Pattern Recognit. Lett..

MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis

J. Fernando Sánchez-Rada, Paul Buitelaar, Björn W. Schuller, 2018, IEEE Transactions on Multimedia.

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

Björn W. Schuller, Jun Deng, Hesam Sagha, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

Detecting and Rectifying Anomalies in Body Sensor Networks

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2011, 2011 International Conference on Body Sensor Networks.

Reinforcement Learning Based on Active Learning Method

Saeed Bagheri Shouraki, Hesam Sagha, Seyed Hossein Khasteh, 2008, 2008 Second International Symposium on Intelligent Information Technology Application.

Benchmarking classification techniques using the Opportunity human activity dataset

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

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

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Toward online detection of BCI performance degradation

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2012 .

Robust activity recognition combining anomaly detection and classifier retraining

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2013, 2013 IEEE International Conference on Body Sensor Networks.

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

Björn W. Schuller, Nicholas Cummins, Simone Hantke, 2017, INTERSPEECH.

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

Eduardo Coutinho, Björn W. Schuller, Hesam Sagha, 2015, AVEC@ACM Multimedia.

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

Ricardo Chavarriaga, José del R. Millán, Gerhard Tröster, 2013, Pattern Recognit. Lett..

Stacked denoising autoencoders for sentiment analysis: a review

Björn W. Schuller, Nicholas Cummins, Hesam Sagha, 2017, WIREs Data Mining Knowl. Discov..

Detecting anomalies to improve classification performance in opportunistic sensor networks

Ricardo Chavarriaga, José del R. Millán, Hesam Sagha, 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

A Framework for Opportunistic Activity and Context Recognition

Paul Lukowicz, Ricardo Chavarriaga, Alois Ferscha, 2010 .

Enhancing Multilingual Recognition of Emotion in Speech by Language Identification

Erik Marchi, Björn W. Schuller, Pavel Matejka, 2016, INTERSPEECH.

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

Björn W. Schuller, Jing Han, Jun Deng, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Actor-critic-based ink drop spread as an intelligent controller

Hesam Sagha, Iman Esmaili Paeen Afrakoti, Saeed Bagherishouraki, 2013 .