A Bayesian Reinforcement Learning framework Using Relevant Vector Machines. - Nikolaos Tziortziotis; Konstantinos Blekas (AAAI, 2011)

Value Function Approximation through Sparse Bayesian Modeling. - Nikolaos Tziortziotis; Konstantinos Blekas (EWRL, 2011)

A Model Based Reinforcement Learning Approach Using On-Line Clustering. - Nikolaos Tziortziotis; Konstantinos Blekas (ICTAI, 2012)

An Online Kernel-Based Clustering Approach for Value Function Approximation. - Nikolaos Tziortziotis; Konstantinos Blekas (SETN, 2012)

Resource allocation in visual sensor networks using a reinforcement learning framework. - Katerina Pandremmenou; Nikolaos Tziortziotis; Lisimachos P. Kondi; Konstantinos Blekas (DSP, 2013)

ABC Reinforcement Learning. - Christos Dimitrakakis; Nikolaos Tziortziotis (ICML (3), 2013)

Linear Bayesian Reinforcement Learning. - Nikolaos Tziortziotis; Christos Dimitrakakis; Konstantinos Blekas (IJCAI, 2013)

Play Ms. Pac-Man Using an Advanced Reinforcement Learning Agent. - Nikolaos Tziortziotis; Konstantinos Tziortziotis; Konstantinos Blekas (SETN, 2014)

The Reinforcement Learning Competition 2014. - Christos Dimitrakakis; Guangliang Li; Nikolaos Tziortziotis (AI Mag., 2014)

Cover tree Bayesian reinforcement learning. - Nikolaos Tziortziotis; Christos Dimitrakakis; Konstantinos Blekas (J. Mach. Learn. Res., 2014)

Quality optimization of H.264/AVC video transmission over noisy environments using a sparse regression framework. - Katerina Pandremmenou; Nikolaos Tziortziotis; Seethal Paluri; W. Zhang; Konstantinos Blekas; Lisimachos P. Kondi; Swarun Kumar (Visual Information Processing and Communication, 2015)

Machine learning for intelligent agents - Nikolaos Tziortziotis (2015)

Autonomous navigation of an over-actuated marine platform using reinforcement learning. - Konstantinos Tziortziotis; Nikolaos Tziortziotis; Kostas Vlachos; Konstantinos Blekas (SETN, 2016)

A k-core Decomposition Framework for Graph Clustering. - Christos Giatsidis; Fragkiskos D. Malliaros; Nikolaos Tziortziotis; Charanpal Dhanjal; Emmanouil Kiagias; Dimitrios M. Thilikos; Michalis Vazirgiannis (CoRR, 2016)

A Bayesian Ensemble Regression Framework on the Angry Birds Game. - Nikolaos Tziortziotis; Georgios Papagiannis; Konstantinos Blekas (IEEE Trans. Comput. Intell. AI Games, 2016)

Bayesian Inference for Least Squares Temporal Difference Regularization. - Nikolaos Tziortziotis; Christos Dimitrakakis (ECML/PKDD (2), 2017)

Orthogonal Matching Pursuit for Text Classification. - Konstantinos Skianis; Nikolaos Tziortziotis; Michalis Vazirgiannis (NUT@EMNLP, 2018)

Adaptive Submodular Influence Maximization with Myopic Feedback. - Guillaume Salha; Nikolaos Tziortziotis; Michalis Vazirgiannis (ASONAM, 2018)

Motion Planning with Energy Reduction for a Floating Robotic Platform Under Disturbances and Measurement Noise Using Reinforcement Learning. - Konstantinos Tziortziotis; Nikolaos Tziortziotis; Kostas Vlachos; Konstantinos Blekas (Int. J. Artif. Intell. Tools, 2018)

Adaptive Influence Maximization. - Bogdan Cautis; Silviu Maniu; Nikolaos Tziortziotis (KDD, 2019)

Randomised Bayesian Least-Squares Policy Iteration. - Nikolaos Tziortziotis; Christos Dimitrakakis; Michalis Vazirgiannis (CoRR, 2019)

Error-space representations for multi-dimensional data streams with temporal dependence. - Jesse Read; Nikolaos Tziortziotis; Michalis Vazirgiannis (Pattern Anal. Appl., 2019)

Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams. - Maroua Bahri; Albert Bifet; Silviu Maniu; Rodrigo Fernandes de Mello; Nikolaos Tziortziotis (ECAI, 2020)

Boosting Tricks for Word Mover's Distance. - Konstantinos Skianis; Fragkiskos D. Malliaros; Nikolaos Tziortziotis; Michalis Vazirgiannis (ICANN (2), 2020)

Predicting conversions in display advertising based on URL embeddings. - Yang Qiu 001; Nikolaos Tziortziotis; Martial Hue; Michalis Vazirgiannis (CoRR, 2020)

Audience expansion based on user browsing history. - Nikolaos Tziortziotis; Yang Qiu 001; Martial Hue; Michalis Vazirgiannis (IJCNN, 2021)

Learning to Maximize Influence. - George Panagopoulos; Nikolaos Tziortziotis; Fragkiskos D. Malliaros; Michalis Vazirgiannis (CoRR, 2021)

Maximizing Influence with Graph Neural Networks. - George Panagopoulos; Nikolaos Tziortziotis; Michalis Vazirgiannis; Fragkiskos D. Malliaros (ASONAM, 2023)

Learning graph representations for influence maximization. - George Panagopoulos; Nikolaos Tziortziotis; Michalis Vazirgiannis; Jun Pang 001; Fragkiskos D. Malliaros (Soc. Netw. Anal. Min., 2024)