Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Mohammad H. Mahoor

Mohammad H. Mahoor

Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review



Fahad Alhomayani , Mohammad H. Mahoor

* Journal of Location Based Services, 14:3, 129-200 
   Access Paper or Ask Questions

OutFin, a multi-device and multi-modal dataset for outdoor localization based on the fingerprinting approach



Fahad Alhomayani , Mohammad H. Mahoor

* Sci Data 8, 66 (2021) 
   Access Paper or Ask Questions

Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study



Hojjat Abdollahi , Mohammad H. Mahoor , Rohola Zandie , Jarid Siewierski , Sara H. Qualls

Figure 1 for Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study
Figure 2 for Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study
Figure 3 for Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study
Figure 4 for Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study
* To be published in IEEE Transactions on Affective Computing 
   Access Paper or Ask Questions

XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks



Jian Sun , Ali Pourramezan Fard , Mohammad H. Mahoor

Figure 1 for XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
Figure 2 for XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
Figure 3 for XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
Figure 4 for XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
* 12 pages, 2 figures, 3 tables 
   Access Paper or Ask Questions

Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks



Ali Pourramezan Fard , Mohammad H. Mahoor

Figure 1 for Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
Figure 2 for Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
Figure 3 for Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
Figure 4 for Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks
* Accepted in Computer Vision and Image Understanding Journal 
   Access Paper or Ask Questions

Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models



Fahad Alhomayani , Mohammad H. Mahoor

Figure 1 for Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models
Figure 2 for Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models
Figure 3 for Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models
Figure 4 for Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models
* to appear in IEEE SENSORS 2021 
   Access Paper or Ask Questions

RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis



Rohola Zandie , Mohammad H. Mahoor , Julia Madsen , Eshrat S. Emamian

Figure 1 for RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis
Figure 2 for RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis
Figure 3 for RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis
Figure 4 for RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis

   Access Paper or Ask Questions

Topical Language Generation using Transformers



Rohola Zandie , Mohammad H. Mahoor

Figure 1 for Topical Language Generation using Transformers
Figure 2 for Topical Language Generation using Transformers
Figure 3 for Topical Language Generation using Transformers
Figure 4 for Topical Language Generation using Transformers
* Accepted in the Journal of Natural Language Engineering 
   Access Paper or Ask Questions

BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient



Behzad Hasani , Pooran Singh Negi , Mohammad H. Mahoor

Figure 1 for BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient
Figure 2 for BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient
Figure 3 for BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient
Figure 4 for BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient
* To appear in IEEE Transactions on Affective Computing journal 
   Access Paper or Ask Questions

EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems



Rohola Zandie , Mohammad H. Mahoor

Figure 1 for EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems
Figure 2 for EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems
Figure 3 for EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems
Figure 4 for EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems

   Access Paper or Ask Questions
1
2
3
>>