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ORCIDNikos Kargas
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2020 – today
- 2022
[j7]Magda Amiridi
, Nikos Kargas, Nicholas D. Sidiropoulos:
Low-Rank Characteristic Tensor Density Estimation Part I: Foundations. IEEE Trans. Signal Process. 70: 2654-2668 (2022)- [j6]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Low-Rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation. IEEE Trans. Signal Process. 70: 2669-2680 (2022) - [i11]Daxin Tan, Nikos Kargas, David McHardy, Constantinos Papayiannis, Antonio Bonafonte, Marek Strelec, Jonas Rohnke, Agis Oikonomou-Filandras, Trevor Wood:
Analysis and Utilization of Entrainment on Acoustic and Emotion Features in User-agent Dialogue. CoRR abs/2212.03398 (2022) - 2021
- [j5]Nikos Kargas, Nicholas D. Sidiropoulos:
Supervised Learning and Canonical Decomposition of Multivariate Functions. IEEE Trans. Signal Process. 69: 1097-1107 (2021) - [j4]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity. IEEE Trans. Signal Process. 69: 6195-6205 (2021) - [c10]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. AAAI 2021: 4830-4837 - [c9]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. IJCAI 2021: 2906-2912 - [i10]Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun:
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR abs/2105.05326 (2021) - [i9]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation. CoRR abs/2106.10591 (2021) - 2020
- [j3]Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya:
Low-Rank Tensor Models for Improved Multidimensional MRI: Application to Dynamic Cardiac T1 Mapping. IEEE Trans. Computational Imaging 6: 194-207 (2020) - [c8]Nikos Kargas, Nicholas D. Sidiropoulos:
Nonlinear System Identification via Tensor Completion. AAAI 2020: 4420-4427 - [c7]Nikos Kargas, Nicholas D. Sidiropoulos:
Supervised Learning via Ensemble Tensor Completion. ACSSC 2020: 196-199 - [i8]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach. CoRR abs/2008.12315 (2020) - [i7]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Information-theoretic Feature Selection via Tensor Decomposition and Submodularity. CoRR abs/2010.16181 (2020) - [i6]Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. CoRR abs/2012.04747 (2020)
2010 – 2019
- 2019
- [c6]Nikos Kargas, Nicholas D. Sidiropoulos:
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. AISTATS 2019: 388-396 - [c5]Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos:
Statistical Learning Using Hierarchical Modeling of Probability Tensors. DSW 2019: 290-294 - [c4]Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang:
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. NeurIPS 2019: 7845-7855 - [i5]Nikos Kargas, Nicholas D. Sidiropoulos:
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. CoRR abs/1904.01156 (2019) - [i4]Nikolaos Kargas, Nicholas D. Sidiropoulos:
Nonlinear System Identification via Tensor Completion. CoRR abs/1906.05746 (2019) - [i3]Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang:
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. CoRR abs/1909.12325 (2019) - 2018
- [j2]Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu:
Tensors, Learning, and "Kolmogorov Extension" for Finite-Alphabet Random Vectors. IEEE Trans. Signal Process. 66(18): 4854-4868 (2018) - 2017
- [c3]Burhaneddin Yaman, Sebastian Weingärtner, Nikolaos Kargas, Nicholas D. Sidiropoulos, Mehmet Akçakaya:
Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI. CAMSAP 2017: 1-5 - [c2]Nikos Kargas, Nicholas D. Sidiropoulos:
Completing a joint PMF from projections: A low-rank coupled tensor factorization approach. ITA 2017: 1-6 - [i2]Nikos Kargas, Nicholas D. Sidiropoulos:
Completing a joint PMF from projections: a low-rank coupled tensor factorization approach. CoRR abs/1702.05184 (2017) - [i1]Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu:
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors. CoRR abs/1712.00205 (2017) - 2015
- [j1]Nikos Kargas, Fanis Mavromatis, Aggelos Bletsas:
Fully-Coherent Reader With Commodity SDR for Gen2 FM0 and Computational RFID. IEEE Wirel. Commun. Lett. 4(6): 617-620 (2015) - 2014
- [c1]Panos N. Alevizos, Nikos Fasarakis-Hilliard, Konstantinos Tountas, Nikos Agadakos, Nikos Kargas, Aggelos Bletsas:
Channel coding for increased range bistatic backscatter radio: Experimental results. RFID-TA 2014: 38-43
Coauthor Index
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