Nikos Kargas

Orcid: 0000-0002-3798-2875

According to our database1, Nikos Kargas authored at least 19 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2022
Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation.
IEEE Trans. Signal Process., 2022

Low-Rank Characteristic Tensor Density Estimation Part I: Foundations.
IEEE Trans. Signal Process., 2022

Analysis and Utilization of Entrainment on Acoustic and Emotion Features in User-agent Dialogue.
CoRR, 2022

2021
Supervised Learning and Canonical Decomposition of Multivariate Functions.
IEEE Trans. Signal Process., 2021

Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity.
IEEE Trans. Signal Process., 2021

Multi-version Tensor Completion for Time-delayed Spatio-temporal Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T<sub>1</sub> Mapping.
IEEE Trans. Computational Imaging, 2020

Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach.
CoRR, 2020

Supervised Learning via Ensemble Tensor Completion.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Nonlinear System Identification via Tensor Completion.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Statistical Learning Using Hierarchical Modeling of Probability Tensors.
Proceedings of the IEEE Data Science Workshop, 2019

Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Tensors, Learning, and "Kolmogorov Extension" for Finite-Alphabet Random Vectors.
IEEE Trans. Signal Process., 2018

2017
Completing a joint PMF from projections: A low-rank coupled tensor factorization approach.
Proceedings of the 2017 Information Theory and Applications Workshop, 2017

Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2015
Fully-Coherent Reader With Commodity SDR for Gen2 FM0 and Computational RFID.
IEEE Wirel. Commun. Lett., 2015

2014
Channel coding for increased range bistatic backscatter radio: Experimental results.
Proceedings of the IEEE RFID Technology and Applications Conference, 2014


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