Nikos Kargas

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 22

Top Topics

Tensor Factorization

Supervised Learning

Top Venues

IEEE Trans. Signal Process.

Publications

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 (2022)
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 (2022)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Low-Rank Characteristic Tensor Density Estimation Part I: Foundations. IEEE Trans. Signal Process. 70 (2022)
Cheng Qian, Nikos Kargas, Cao Xiao, Lucas Glass, Nicholas D. Sidiropoulos, Jimeng Sun
Multi-version Tensor Completion for Time-delayed Spatio-temporal Data. CoRR (2021)
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)
Nikos Kargas, Nicholas D. Sidiropoulos
Supervised Learning and Canonical Decomposition of Multivariate Functions. IEEE Trans. Signal Process. 69 (2021)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Information-Theoretic Feature Selection via Tensor Decomposition and Submodularity. IEEE Trans. Signal Process. 69 (2021)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Low-rank Characteristic Tensor Density Estimation Part II: Compression and Latent Density Estimation. CoRR (2021)
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)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Information-theoretic Feature Selection via Tensor Decomposition and Submodularity. CoRR (2020)
Nikos Kargas, Nicholas D. Sidiropoulos
Supervised Learning via Ensemble Tensor Completion. ACSSC (2020)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Nonparametric Multivariate Density Estimation: A Low-Rank Characteristic Function Approach. CoRR (2020)
Nikos Kargas, Nicholas D. Sidiropoulos
Nonlinear System Identification via Tensor Completion. AAAI (2020)
Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. CoRR (2020)
Magda Amiridi, Nikos Kargas, Nicholas D. Sidiropoulos
Statistical Learning Using Hierarchical Modeling of Probability Tensors. DSW (2019)
Nikos Kargas, Nicholas D. Sidiropoulos
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. CoRR (2019)
Nikos Kargas, Nicholas D. Sidiropoulos
Learning Mixtures of Smooth Product Distributions: Identifiability and Algorithm. AISTATS (2019)
Shahana Ibrahim, Xiao Fu, Nikos Kargas, Kejun Huang
Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms. CoRR (2019)
Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu
Tensors, Learning, and "Kolmogorov Extension" for Finite-Alphabet Random Vectors. IEEE Trans. Signal Process. 66 (18) (2018)
Nikos Kargas, Nicholas D. Sidiropoulos, Xiao Fu
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors. CoRR (2017)
Nikos Kargas, Nicholas D. Sidiropoulos
Completing a joint PMF from projections: a low-rank coupled tensor factorization approach. CoRR (2017)
Nikos Kargas, Nicholas D. Sidiropoulos
Completing a joint PMF from projections: A low-rank coupled tensor factorization approach. ITA (2017)
Nikos Kargas, Fanis Mavromatis, Aggelos Bletsas
Fully-Coherent Reader With Commodity SDR for Gen2 FM0 and Computational RFID. IEEE Wirel. Commun. Lett. 4 (6) (2015)
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)