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2020 – today
- 2024
[j6]George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Jun Pang, Fragkiskos D. Malliaros:
Learning graph representations for influence maximization. Soc. Netw. Anal. Min. 14(1): 203 (2024)- 2023
- [c18]George Panagopoulos
, Nikolaos Tziortziotis, Michalis Vazirgiannis, Fragkiskos D. Malliaros:
Maximizing Influence with Graph Neural Networks. ASONAM 2023: 237-244 - 2021
- [c17]Nikolaos Tziortziotis, Yang Qiu, Martial Hue, Michalis Vazirgiannis:
Audience expansion based on user browsing history. IJCNN 2021: 1-8 - [i9]George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Learning to Maximize Influence. CoRR abs/2108.04623 (2021) - 2020
- [c16]Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis:
Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. ECAI 2020: 961-968 - [c15]Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Boosting Tricks for Word Mover's Distance. ICANN (2) 2020: 761-772 - [i8]Yang Qiu, Nikolaos Tziortziotis, Martial Hue, Michalis Vazirgiannis:
Predicting conversions in display advertising based on URL embeddings. CoRR abs/2008.12003 (2020)
2010 – 2019
- 2019
- [j5]Jesse Read, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Error-space representations for multi-dimensional data streams with temporal dependence. Pattern Anal. Appl. 22(3): 1211-1220 (2019) - [c14]Bogdan Cautis, Silviu Maniu, Nikolaos Tziortziotis:
Adaptive Influence Maximization. KDD 2019: 3185-3186 - [i7]Nikolaos Tziortziotis, Christos Dimitrakakis, Michalis Vazirgiannis:
Randomised Bayesian Least-Squares Policy Iteration. CoRR abs/1904.03535 (2019) - 2018
- [j4]Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos, Konstantinos Blekas:
Motion Planning with Energy Reduction for a Floating Robotic Platform Under Disturbances and Measurement Noise Using Reinforcement Learning. Int. J. Artif. Intell. Tools 27(4): 1860005:1-1860005:20 (2018) - [c13]Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Orthogonal Matching Pursuit for Text Classification. NUT@EMNLP 2018: 93-103 - [c12]Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Adaptive Submodular Influence Maximization with Myopic Feedback. ASONAM 2018: 455-462 - [i6]Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Orthogonal Matching Pursuit for Text Classification. CoRR abs/1807.04715 (2018) - 2017
- [c11]Nikolaos Tziortziotis, Christos Dimitrakakis:
Bayesian Inference for Least Squares Temporal Difference Regularization. ECML/PKDD (2) 2017: 126-141 - [i5]Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Adaptive Submodular Influence Maximization with Myopic Feedback. CoRR abs/1704.06905 (2017) - 2016
- [j3]Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas:
A Bayesian Ensemble Regression Framework on the Angry Birds Game. IEEE Trans. Comput. Intell. AI Games 8(2): 104-115 (2016) - [c10]Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos, Konstantinos Blekas:
Autonomous navigation of an over-actuated marine platform using reinforcement learning. SETN 2016: 11:1-11:7 - [i4]Christos Giatsidis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Charanpal Dhanjal, Emmanouil Kiagias, Dimitrios M. Thilikos, Michalis Vazirgiannis:
A k-core Decomposition Framework for Graph Clustering. CoRR abs/1607.02096 (2016) - 2015
- [b1]Nikolaos Tziortziotis:
Machine learning for intelligent agents. University of Ioannina, Greece, 2015 - [c9]Katerina Pandremmenou, Nikolaos Tziortziotis, Seethal Paluri, W. Zhang, Konstantinos Blekas, Lisimachos P. Kondi, Swarun Kumar:
Quality optimization of H.264/AVC video transmission over noisy environments using a sparse regression framework. Visual Information Processing and Communication 2015: 94100D - 2014
- [j2]Christos Dimitrakakis, Guangliang Li, Nikolaos Tziortziotis:
The Reinforcement Learning Competition 2014. AI Mag. 35(3): 61-65 (2014) - [j1]Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas:
Cover tree Bayesian reinforcement learning. J. Mach. Learn. Res. 15(1): 2313-2335 (2014) - [c8]Nikolaos Tziortziotis, Konstantinos Tziortziotis, Konstantinos Blekas:
Play Ms. Pac-Man Using an Advanced Reinforcement Learning Agent. SETN 2014: 71-83 - [i3]Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas:
A Bayesian Ensemble Regression Framework on the Angry Birds Game. CoRR abs/1408.5265 (2014) - 2013
- [c7]Katerina Pandremmenou, Nikolaos Tziortziotis, Lisimachos P. Kondi, Konstantinos Blekas:
Resource allocation in visual sensor networks using a reinforcement learning framework. DSP 2013: 1-6 - [c6]Christos Dimitrakakis, Nikolaos Tziortziotis:
ABC Reinforcement Learning. ICML (3) 2013: 684-692 - [c5]Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas:
Linear Bayesian Reinforcement Learning. IJCAI 2013: 1721-1728 - [i2]Christos Dimitrakakis, Nikolaos Tziortziotis:
ABC Reinforcement Learning. CoRR abs/1303.6977 (2013) - [i1]Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas:
Cover Tree Bayesian Reinforcement Learning. CoRR abs/1305.1809 (2013) - 2012
- [c4]Nikolaos Tziortziotis, Konstantinos Blekas:
A Model Based Reinforcement Learning Approach Using On-Line Clustering. ICTAI 2012: 712-718 - [c3]Nikolaos Tziortziotis, Konstantinos Blekas:
An Online Kernel-Based Clustering Approach for Value Function Approximation. SETN 2012: 182-189 - 2011
- [c2]Nikolaos Tziortziotis, Konstantinos Blekas:
A Bayesian Reinforcement Learning framework Using Relevant Vector Machines. AAAI 2011: 1820-1821 - [c1]Nikolaos Tziortziotis, Konstantinos Blekas:
Value Function Approximation through Sparse Bayesian Modeling. EWRL 2011: 128-139
Coauthor Index
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last updated on 2024-10-15 21:39 CEST by the dblp team
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