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Nasser Mohammadiha
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2020 – today
- 2024
- [i7]Ludvig Lemner, Linnea Wahlgren, Gregory Gay, Nasser Mohammadiha, Jingxiong Liu, Joakim Wennerberg:
Exploring the Integration of Large Language Models in Industrial Test Maintenance Processes. CoRR abs/2409.06416 (2024) - 2023
- [c26]Carlos Natalino, Nasser Mohammadiha, Ashkan Panahi:
Machine-Learning-as-a-Service for Optical Network Automation. OFC 2023: 1-3
2010 – 2019
- 2019
- [c25]Henrik Arnelid, Edvin Listo Zec, Nasser Mohammadiha:
Recurrent Conditional Generative Adversarial Networks for Autonomous Driving Sensor Modelling. ITSC 2019: 1613-1618 - [p1]Piergiuseppe Mallozzi, Patrizio Pelliccione, Alessia Knauss, Christian Berger, Nasser Mohammadiha:
Autonomous Vehicles: State of the Art, Future Trends, and Challenges. Automotive Systems and Software Engineering 2019: 347-367 - 2018
- [c24]Erik Karlsson, Nasser Mohammadiha:
A Data-Driven Generative Model for GPS Sensors for Autonomous Driving. SEFAIAS@ICSE 2018: 1-5 - [c23]Edvin Listo Zec, Nasser Mohammadiha, Alexander Schliep:
Statistical Sensor Modelling for Autonomous Driving Using Autoregressive Input-Output HMMs. ITSC 2018: 1331-1336 - [c22]John Martinsson, Nasser Mohammadiha, Alexander Schliep:
Clustering Vehicle Maneuver Trajectories Using Mixtures of Hidden Markov Models. ITSC 2018: 3698-3705 - [c21]Erik Karlsson, Nasser Mohammadiha:
A Statistical GPS Error Model for Autonomous Driving. Intelligent Vehicles Symposium 2018: 754-759 - 2017
- [c20]Christopher Innocenti, Henrik Lindén, Ghazaleh Panahandeh, Lennart Svensson, Nasser Mohammadiha:
Imitation learning for vision-based lane keeping assistance. ITSC 2017: 425-430 - [c19]Ghazaleh Panahandeh, Erik Ek, Nasser Mohammadiha:
Road friction estimation for connected vehicles using supervised machine learning. Intelligent Vehicles Symposium 2017: 1262-1267 - [i6]Nasser Mohammadiha, Paris Smaragdis, Ghazaleh Panahandeh, Simon Doclo:
A State-Space Approach to Dynamic Nonnegative Matrix Factorization. CoRR abs/1709.00025 (2017) - [i5]Christopher Innocenti, Henrik Lindén, Ghazaleh Panahandeh, Lennart Svensson, Nasser Mohammadiha:
Imitation Learning for Vision-based Lane Keeping Assistance. CoRR abs/1709.03853 (2017) - [i4]Nasser Mohammadiha, Paris Smaragdis, Arne Leijon:
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization. CoRR abs/1709.05362 (2017) - [i3]Ghazaleh Panahandeh, Erik Ek, Nasser Mohammadiha:
Road Friction Estimation for Connected Vehicles using Supervised Machine Learning. CoRR abs/1709.05379 (2017) - [i2]Nasser Mohammadiha, Simon Doclo:
Speech Dereverberation Using Nonnegative Convolutive Transfer Function and Spectro temporal Modeling. CoRR abs/1709.05557 (2017) - [i1]Nasser Mohammadiha, Arne Leijon:
Nonnegative HMM for Babble Noise Derived from Speech HMM: Application to Speech Enhancement. CoRR abs/1709.05559 (2017) - 2016
- [j7]Nasser Mohammadiha, Simon Doclo:
Speech Dereverberation Using Non-Negative Convolutive Transfer Function and Spectro-Temporal Modeling. IEEE ACM Trans. Audio Speech Lang. Process. 24(2): 276-289 (2016) - [c18]Johan Florback, Lars Tornberg, Nasser Mohammadiha:
Offline object matching and evaluation process for verification of autonomous driving. ITSC 2016: 107-112 - 2015
- [j6]Nasser Mohammadiha, Paris Smaragdis, Ghazaleh Panahandeh, Simon Doclo:
A State-Space Approach to Dynamic Nonnegative Matrix Factorization. IEEE Trans. Signal Process. 63(4): 949-959 (2015) - [c17]Ante Jukic, Nasser Mohammadiha, Toon van Waterschoot, Timo Gerkmann, Simon Doclo:
Multi-channel linear prediction-based speech dereverberation with low-rank power spectrogram approximation. ICASSP 2015: 96-100 - [c16]Afsaneh Asaei, Nasser Mohammadiha, Mohammad Javad Taghizadeh, Simon Doclo, Hervé Bourlard:
On application of non-negative matrix factorization for ad hoc microphone array calibration from incomplete noisy distances. ICASSP 2015: 2694-2698 - [c15]Sam Karimian-Azari, Nasser Mohammadiha, Jesper Rindom Jensen, Mads Græsbøll Christensen:
Pitch estimation and tracking with harmonic emphasis on the acoustic spectrum. ICASSP 2015: 4330-4334 - [c14]Nasser Mohammadiha, Paris Smaragdis, Simon Doclo:
Joint acoustic and spectral modeling for speech dereverberation using non-negative representations. ICASSP 2015: 4410-4414 - 2014
- [j5]Paris Smaragdis, Cédric Févotte, Gautham J. Mysore, Nasser Mohammadiha, Matthew D. Hoffman:
Static and Dynamic Source Separation Using Nonnegative Factorizations: A unified view. IEEE Signal Process. Mag. 31(3): 66-75 (2014) - [c13]Nasser Mohammadiha, Simon Dodo:
Transient noise reduction using nonnegative matrix factorization. HSCMA 2014: 27-31 - [c12]Nasser Mohammadiha, Simon Doclo:
Single-channel dynamic exemplar-based speech enhancement. INTERSPEECH 2014: 2690-2694 - 2013
- [b1]Nasser Mohammadiha:
Speech Enhancement Using Nonnegative MatrixFactorization and Hidden Markov Models. Royal Institute of Technology, Stockholm, Sweden, 2013 - [j4]Nasser Mohammadiha, Rainer Martin, Arne Leijon:
Spectral Domain Speech Enhancement Using HMM State-Dependent Super-Gaussian Priors. IEEE Signal Process. Lett. 20(3): 253-256 (2013) - [j3]Nasser Mohammadiha, Arne Leijon:
Nonnegative HMM for Babble Noise Derived From Speech HMM: Application to Speech Enhancement. IEEE Trans. Speech Audio Process. 21(5): 998-1011 (2013) - [j2]Nasser Mohammadiha, Paris Smaragdis, Arne Leijon:
Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization. IEEE Trans. Speech Audio Process. 21(10): 2140-2151 (2013) - [j1]Ghazaleh Panahandeh, Nasser Mohammadiha, Arne Leijon, Peter Handel:
Continuous Hidden Markov Model for Pedestrian Activity Classification and Gait Analysis. IEEE Trans. Instrum. Meas. 62(5): 1073-1083 (2013) - [c11]Nasser Mohammadiha, W. Bastiaan Kleijn, Arne Leijon:
Gamma hidden Markov model as a probabilistic Nonnegative Matrix Factorization. EUSIPCO 2013: 1-5 - [c10]Nasser Mohammadiha, Paris Smaragdis, Arne Leijon:
Prediction based filtering and smoothing to exploit temporal dependencies in NMF. ICASSP 2013: 873-877 - [c9]Nasser Mohammadiha, Paris Smaragdis, Arne Leijon:
Simultaneous noise classification and reduction using a priori learned models. MLSP 2013: 1-6 - [c8]Nasser Mohammadiha, Paris Smaragdis, Arne Leijon:
Low-artifact source separation using probabilistic latent component analysis. WASPAA 2013: 1-4 - 2012
- [c7]Hongmei Hu, Nasser Mohammadiha, Jalil Taghia, Arne Leijon, Mark E. Lutman, Shouyan Wang:
Sparsity level in a non-negative matrix factorization based speech strategy in cochlear implants. EUSIPCO 2012: 2432-2436 - [c6]Jalil Taghia, Nasser Mohammadiha, Arne Leijon:
A variational Bayes approach to the underdetermined blind source separation with automatic determination of the number of sources. ICASSP 2012: 253-256 - [c5]Nasser Mohammadiha, Jalal Taghia, Arne Leijon:
Single channel speech enhancement using Bayesian NMF with recursive temporal updates of prior distributions. ICASSP 2012: 4561-4564 - [c4]Ghazaleh Panahandeh, Nasser Mohammadiha, Magnus Jansson:
Ground plane feature detection in mobile vision-aided inertial navigation. IROS 2012: 3607-3611 - 2011
- [c3]Jalal Taghia, Jalil Taghia, Nasser Mohammadiha, Jinqiu Sang, Václav Bouse, Rainer Martin:
An evaluation of noise power spectral density estimation algorithms in adverse acoustic environments. ICASSP 2011: 4640-4643 - [c2]Nasser Mohammadiha, Timo Gerkmann, Arne Leijon:
A new approach for speech enhancement based on a constrained Nonnegative Matrix Factorization. ISPACS 2011: 1-5 - [c1]Nasser Mohammadiha, Timo Gerkmann, Arne Leijon:
A new linear MMSE filter for single channel speech enhancement based on Nonnegative Matrix Factorization. WASPAA 2011: 45-48
Coauthor Index
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last updated on 2024-10-18 19:31 CEST by the dblp team
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