Nikolaos Tziortziotis

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 18

Top Topics

Influence Maximization

Reinforcement Learning

Top Venues

Publications

George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Fragkiskos D. Malliaros
Maximizing Influence with Graph Neural Networks. ASONAM (2023)
George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, Michalis Vazirgiannis
Learning to Maximize Influence. CoRR (2021)
Nikolaos Tziortziotis, Yang Qiu, Martial Hue, Michalis Vazirgiannis
Audience expansion based on user browsing history. IJCNN (2021)
Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis
Boosting Tricks for Word Mover's Distance. ICANN (2) (2020)
Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis
Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. ECAI (2020)
Yang Qiu, Nikolaos Tziortziotis, Martial Hue, Michalis Vazirgiannis
Predicting conversions in display advertising based on URL embeddings. CoRR (2020)
Jesse Read, Nikolaos Tziortziotis, Michalis Vazirgiannis
Error-space representations for multi-dimensional data streams with temporal dependence. Pattern Anal. Appl. 22 (3) (2019)
Bogdan Cautis, Silviu Maniu, Nikolaos Tziortziotis
Adaptive Influence Maximization. KDD (2019)
Nikolaos Tziortziotis, Christos Dimitrakakis, Michalis Vazirgiannis
Randomised Bayesian Least-Squares Policy Iteration. CoRR (2019)
Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis
Adaptive Submodular Influence Maximization with Myopic Feedback. ASONAM (2018)
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) (2018)
Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis
Orthogonal Matching Pursuit for Text Classification. CoRR (2018)
Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis
Orthogonal Matching Pursuit for Text Classification. NUT@EMNLP (2018)
Nikolaos Tziortziotis, Christos Dimitrakakis
Bayesian Inference for Least Squares Temporal Difference Regularization. ECML/PKDD (2) (2017)
Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis
Adaptive Submodular Influence Maximization with Myopic Feedback. CoRR (2017)
Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas
A Bayesian Ensemble Regression Framework on the Angry Birds Game. IEEE Trans. Comput. Intell. AI Games 8 (2) (2016)
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 (2016)
Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos, Konstantinos Blekas
Autonomous navigation of an over-actuated marine platform using reinforcement learning. SETN (2016)
Katerina Pandremmenou, Nikolaos Tziortziotis, Seethal Paluri, W. Zhang, Konstantinos Blekas, Lisimachos P. Kondi, S. Kumar
Quality optimization of H.264/AVC video transmission over noisy environments using a sparse regression framework. Visual Information Processing and Communication (2015)
Christos Dimitrakakis, Guangliang Li, Nikolaos Tziortziotis
The Reinforcement Learning Competition 2014. AI Mag. 35 (3) (2014)
Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas
A Bayesian Ensemble Regression Framework on the Angry Birds Game. CoRR (2014)
Nikolaos Tziortziotis, Konstantinos Tziortziotis, Konstantinos Blekas
Play Ms. Pac-Man Using an Advanced Reinforcement Learning Agent. SETN (2014)
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Cover tree Bayesian reinforcement learning. J. Mach. Learn. Res. 15 (1) (2014)
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Linear Bayesian Reinforcement Learning. IJCAI (2013)
Christos Dimitrakakis, Nikolaos Tziortziotis
ABC Reinforcement Learning. ICML (3) (2013)
Katerina Pandremmenou, Nikolaos Tziortziotis, Lisimachos P. Kondi, Konstantinos Blekas
Resource allocation in visual sensor networks using a reinforcement learning framework. DSP (2013)
Christos Dimitrakakis, Nikolaos Tziortziotis
ABC Reinforcement Learning CoRR (2013)
Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas
Cover Tree Bayesian Reinforcement Learning CoRR (2013)
Nikolaos Tziortziotis, Konstantinos Blekas
A Model Based Reinforcement Learning Approach Using On-Line Clustering. ICTAI (2012)
Nikolaos Tziortziotis, Konstantinos Blekas
An Online Kernel-Based Clustering Approach for Value Function Approximation. SETN (2012)
Nikolaos Tziortziotis, Konstantinos Blekas
A Bayesian Reinforcement Learning framework Using Relevant Vector Machines. AAAI (2011)
Nikolaos Tziortziotis, Konstantinos Blekas
Value Function Approximation through Sparse Bayesian Modeling. EWRL (2011)