Manolis Maragoudakis

According to our database1, Manolis Maragoudakis authored at least 73 papers between 2001 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2019
Digital storytelling for good with Tappetina game.
Entertainment Computing, 2019

Skyline and reverse skyline query processing in SpatialHadoop.
Data Knowl. Eng., 2019

Data Analysis, Simulation and Visualization for Environmentally Safe Maritime Data.
Algorithms, 2019

2018
Machine learning for water bodies identification from satellite images.
IJDMMM, 2018

Measuring the Impact of Financial News and Social Media on Stock Market Modeling Using Time Series Mining Techniques.
Algorithms, 2018

Sports & Nutrition Data Science using Gradient Boosting Machines.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

2017
A Novel, Gradient Boosting Framework for Sentiment Analysis in Languages where NLP Resources Are Not Plentiful: A Case Study for Modern Greek.
Algorithms, 2017

Europe in the shadow of financial crisis: Policy Making via Stance Classification.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Prediction of Propensity for Enterprise Cloud Computing Adoption.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2016
A biology-inspired, data mining framework for extracting patterns in sexual cyberbullying data.
Knowl.-Based Syst., 2016

A novel approach for visual data mining in Twitter micro-blogging platform.
IJSNM, 2016

Dealing with High Dimensional Sentiment Data Using Gradient Boosting Machines.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2015
Using financial news articles with minimal linguistic resources to forecast stock behaviour.
IJDMMM, 2015

Opinion Mining and Sentiment Analysis in Policy Formulation Initiatives: The EU-Community Approach.
Proceedings of the Electronic Participation - 7th IFIP 8.5 International Conference, 2015


Time Series Forecasting in Cyberbullying Data.
Proceedings of the Engineering Applications of Neural Networks, 2015

House of Ads: a Multiplayer Action Game for Annotating Ad Video Content.
Proceedings of the Workshop Proceedings of the 16th International Conference on Engineering Applications of Neural Networks, 2015

2014
Heart sound screening in real-time assistive environments through MCMC Bayesian data mining.
Universal Access in the Information Society, 2014

Privacy Preserving Data Mining Using Radial Basis Functions on Horizontally Partitioned Databases in the Malicious Model.
International Journal on Artificial Intelligence Tools, 2014

Extracting Knowledge from Collaboratively Annotated Ad Video Content.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Cyberbullying Detection using Time Series Modeling.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Political sentiment analysis of tweets before and after the Greek elections of May 2012.
IJSNM, 2013

Breast Cancer Detection in Mammogram Medical Images with Data Mining Techniques.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

Designing a Support Tool for Creative Advertising by Mining Collaboratively Tagged Ad Video Content: The Architecture of PromONTotion.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013

On Mining Opinions from Social Media.
Proceedings of the Engineering Applications of Neural Networks, 2013

2012
Using Ensemble Random Forests for the extraction and exploitation of knowledge on gas turbine blading faults identification.
OR Insight, 2012

Bayesian Retrieval using a Similarity-Based Lemmatizer.
International Journal on Artificial Intelligence Tools, 2012

Privacy preserving neural networks in iris signature feature extraction.
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

Player Modeling Using HOSVD towards Dynamic Difficulty Adjustment in Videogames.
Proceedings of the Artificial Intelligence Applications and Innovations, 2012

Privacy Preservation by k-Anonymization of Weighted Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Mining query-logs towards learning useful kick-off ontologies: an incentive to semantic web content creation.
IJKEDM, 2011

A medical ontology for intelligent web-based skin lesions image retrieval.
Health Informatics Journal, 2011

Privacy Preserving Tree Augmented Naïve Bayesian Multi-party Implementation on Horizontally Partitioned Databases.
Proceedings of the Trust, Privacy and Security in Digital Business, 2011

MCMC Bayesian inference for heart sounds screening in assistive environments.
Proceedings of the PETRA 2011, 2011

A Random Forests Text Transliteration System for Greek Digraphia.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

A Review of Opinion Mining Methods for Analyzing Citizens' Contributions in Public Policy Debate.
Proceedings of the Electronic Participation - Third IFIP WG 8.5 International Conference, 2011

2010
Heart murmurs identification using random forests in assistive environments.
Proceedings of the 3rd International Conference on Pervasive Technologies Related to Assistive Environments, 2010

Towards Stock Market Data Mining Using Enriched Random Forests from Textual Resources and Technical Indicators.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

Automated Aortic and Mitral Valves Diseases Diagnosis from Heart Sound Signals Using Novel Ensemble Classification Techniques.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
Preference Learning for Cognitive Modeling: A Case Study on Entertainment Preferences.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2009

Accurate and large-scale privacy-preserving data mining using the election paradigm.
Data Knowl. Eng., 2009

Data Mining for Player Modeling in Videogames.
Proceedings of the PCI 2009, 2009

2008
Learning verb complements for Modern Greek: balancing the noisy dataset.
Natural Language Engineering, 2008

Intelligent - Miner: The Conceptual and Architectural Design of a Web Based Data Mining Service.
e-Minds, 2008

Accuracy in Privacy-Preserving Data Mining Using the Paradigm of Cryptographic Elections.
Proceedings of the Privacy in Statistical Databases, 2008

Eksairesis: A Domain-Adaptable System for Ontology Building from Unstructured Text.
Proceedings of the International Conference on Language Resources and Evaluation, 2008

Gas Turbine Fault Diagnosis using Random Forests.
Proceedings of the ECAI 2008, 2008

A medical, description logic based, ontology for skin lesion images.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

Mining Natural Language Programming Directives with Class-Oriented Bayesian Networks.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
MeteoBayes: Effective Plan Recognition in a Weather Dialogue System.
IEEE Intelligent Systems, 2007

A Bayesian Network Model for Information Retrieval from Greek Texts.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

2006
Enhancing User Support in Open Problem Solving Environments through Bayesian Network Inference Techniques.
Educational Technology & Society, 2006

Bayesian Feature Construction.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Dealing with Imbalanced Data using Bayesian Techniques.
Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

2005
Bayesian Induction of Verb Sub-categorization Frames in Imbalanced Heterogeneous Data.
Journal of Quantitative Linguistics, 2005

Player Modeling Impact on Player's Entertainment in Computer Games.
Proceedings of the User Modeling 2005, 2005

2004
Bayesian Reinforcement for a Probabilistic Neural Net Part-of-Speech Tagger.
Proceedings of the Text, Speech and Dialogue, 7th International Conference, 2004

Learning to Predict Pitch Accents Using Bayesian Belief Networks for Greek Language.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

A Bayesian Model for Shallow Syntactic Parsing of Natural Language Texts.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Bayesian Semantics Incorporation to Web Content for Natural Language Information Retrieval.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Learning Greek Verb Complements: Addressing the Class Imbalance.
Proceedings of the COLING 2004, 2004

2003
A Data-Driven Framework for Intonational Phrase Break Prediction.
Proceedings of the Text, Speech and Dialogue, 6th International Conference, 2003

User Modeling and Plan Recognition under Conditions of Uncertainty.
Proceedings of the Text, Speech and Dialogue, 6th International Conference, 2003

Domain Knowledge Acquisition and Plan Recognition by Probabilistic Reasoning.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Bayesian induction of intonational phrase breaks.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002
Statistical Decision Making from Text and Dialogue Corpora for Effective Plan Recognition.
Proceedings of the Text, Speech and Dialogue, 5th International Conference, 2002

Improving SMS Usability Using Bayesian Networks.
Proceedings of the Methods and Applications of Artificial Intelligence, 2002

Combining Bayesian and Support Vector Machines Learning to automatically complete Syntactical Information for HPSG-like Formalisms.
Proceedings of the Third International Conference on Language Resources and Evaluation, 2002

Incorporating Conditional Independence Assumption with Support Vector Machines to Enhance Handwritten Character Segmentation Performance.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Improving handwritten character segmentation by incorporating Bayesian knowledge with Support Vector Machines.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Influence of Conditional Independence Assumption on Verb Subcategorization Detection.
Proceedings of the Text, Speech and Dialogue, 4th International Conference, 2001

Learning Automatic Acquisition of Subcategorization Frames Using Bayesian Inference and Support Vector Machines.
Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

How Conditional Independence Assumption Affects Handwritten Character Segmentation.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001


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