Tofigh Naghibi

According to our database, Tofigh Naghibi authored at least 10 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Deep Learning based Forecasting: a case study from the online fashion industry.

Manuel Kunz, Stefan Birr, Mones Raslan, Lei Ma, Zhen Li, Adèle Gouttes, Mateusz Koren, Tofigh Naghibi, Johannes Stephan, Mariia Bulycheva, Matthias Grzeschik, Armin Kekic, Michael Narodovitch, Kashif Rasul, Julian Sieber, Tim Januschowski

CoRR, 2023

2021

Probabilistic Time Series Forecasting with Implicit Quantile Networks.

Adèle Gouttes, Kashif Rasul, Mateusz Koren, Johannes Stephan, Tofigh Naghibi

CoRR, 2021

2016

Automatic Pronunciation Generation by Utilizing a Semi-Supervised Deep Neural Networks.

Naoya Takahashi, Tofigh Naghibi, Beat Pfister

Proceedings of the Interspeech 2016, 2016

2015

Towards Robust Audio-Visual Speech Recognition.

Tofigh Naghibi

PhD thesis, 2015

A Semidefinite Programming Based Search Strategy for Feature Selection with Mutual Information Measure.

Tofigh Naghibi, Sarah Hoffmann, Beat Pfister

IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014

A Boosting Framework on Grounds of Online Learning.

Tofigh Naghibi Mohamadpoor, Beat Pfister

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

An efficient method to estimate pronunciation from multiple utterances.

Tofigh Naghibi, Sarah Hoffmann, Beat Pfister

Proceedings of the INTERSPEECH 2013, 2013

Convex approximation of the NP-hard search problem in feature subset selection.

Tofigh Naghibi, Sarah Hoffmann, Beat Pfister

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Beamformer design for nonstationary signals by means of interfrequency correlations.

Tofigh Naghibi, Beat Pfister

Proceedings of the IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, 2012

An approach to prevent adaptive beamformers from cancelling the desired signal.

Tofigh Naghibi, Beat Pfister

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012