Nikolaos Tziortziotis

According to our database, Nikolaos Tziortziotis authored at least 29 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning graph representations for influence maximization.

George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Jun Pang, Fragkiskos D. Malliaros

Soc. Netw. Anal. Min., December, 2024

2023

Maximizing Influence with Graph Neural Networks.

George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Fragkiskos D. Malliaros

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2021

Learning to Maximize Influence.

George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, Michalis Vazirgiannis

CoRR, 2021

Audience expansion based on user browsing history.

Nikolaos Tziortziotis, Yang Qiu, Martial Hue, Michalis Vazirgiannis

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Predicting conversions in display advertising based on URL embeddings.

Yang Qiu, Nikolaos Tziortziotis, Martial Hue, Michalis Vazirgiannis

CoRR, 2020

Boosting Tricks for Word Mover's Distance.

Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Compressed k-Nearest Neighbors Ensembles for Evolving Data Streams.

Maroua Bahri, Albert Bifet, Silviu Maniu, Rodrigo Fernandes de Mello, Nikolaos Tziortziotis

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Error-space representations for multi-dimensional data streams with temporal dependence.

Jesse Read, Nikolaos Tziortziotis, Michalis Vazirgiannis

Pattern Anal. Appl., 2019

Randomised Bayesian Least-Squares Policy Iteration.

Nikolaos Tziortziotis, Christos Dimitrakakis, Michalis Vazirgiannis

CoRR, 2019

Adaptive Influence Maximization.

Bogdan Cautis, Silviu Maniu, Nikolaos Tziortziotis

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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 Submodular Influence Maximization with Myopic Feedback.

Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Orthogonal Matching Pursuit for Text Classification.

Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis

Proceedings of the 4th Workshop on Noisy User-generated Text, 2018

2017

Bayesian Inference for Least Squares Temporal Difference Regularization.

Nikolaos Tziortziotis, Christos Dimitrakakis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016

A Bayesian Ensemble Regression Framework on the Angry Birds Game.

Nikolaos Tziortziotis, Georgios Papagiannis, Konstantinos Blekas

IEEE Trans. Comput. Intell. AI Games, 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

Autonomous navigation of an over-actuated marine platform using reinforcement learning.

Konstantinos Tziortziotis, Nikolaos Tziortziotis, Kostas Vlachos, Konstantinos Blekas

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

2015

Machine learning for intelligent agents

Nikolaos Tziortziotis

PhD thesis, 2015

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

Proceedings of the Visual Information Processing and Communication VI, 2015

2014

Cover tree Bayesian reinforcement learning.

Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas

J. Mach. Learn. Res., 2014

The Reinforcement Learning Competition 2014.

Christos Dimitrakakis, Guangliang Li, Nikolaos Tziortziotis

AI Mag., 2014

Play Ms. Pac-Man Using an Advanced Reinforcement Learning Agent.

Nikolaos Tziortziotis, Konstantinos Tziortziotis, Konstantinos Blekas

Proceedings of the Artificial Intelligence: Methods and Applications, 2014

2013

Linear Bayesian Reinforcement Learning.

Nikolaos Tziortziotis, Christos Dimitrakakis, Konstantinos Blekas

Proceedings of the IJCAI 2013, 2013

ABC Reinforcement Learning.

Christos Dimitrakakis, Nikolaos Tziortziotis

Proceedings of the 30th International Conference on Machine Learning, 2013

Resource allocation in visual sensor networks using a reinforcement learning framework.

Katerina Pandremmenou, Nikolaos Tziortziotis, Lisimachos P. Kondi, Konstantinos Blekas

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012

An Online Kernel-Based Clustering Approach for Value Function Approximation.

Nikolaos Tziortziotis, Konstantinos Blekas

Proceedings of the Artificial Intelligence: Theories and Applications, 2012

A Model Based Reinforcement Learning Approach Using On-Line Clustering.

Nikolaos Tziortziotis, Konstantinos Blekas

Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011

Value Function Approximation through Sparse Bayesian Modeling.

Nikolaos Tziortziotis, Konstantinos Blekas

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

A Bayesian Reinforcement Learning framework Using Relevant Vector Machines.

Nikolaos Tziortziotis, Konstantinos Blekas

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011