Dimitrios Kalles

Orcid: 0000-0003-0364-5966

According to our database1, Dimitrios Kalles authored at least 109 papers between 1993 and 2023.

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Bibliography

2023
Ultra-short-term trading system using a neural network-based ensemble of financial technical indicators.
Neural Comput. Appl., 2023

Prediction of COVID-19 Mortality in the Intensive Care Unit Using Machine Learning.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Convolutional Neural Networks for Optical Discrimination Between Histological Types of Colorectal Polyps Based on White Light Endoscopic Images.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

The V-Lab VR Educational Application Framework: A Beacon Application of the XR2Learn Project.
Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, 2023

Centrality Metrics from Students' Discussion Fora at Distance Education.
Proceedings of the 14th International Conference on Information, 2023

Automated ML Techniques for Predicting COVID-19 Mortality in the ICU.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

A Deep Learning Model for Classifying Histological Types of Colorectal Polyps.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Acceptance of Artificial Intelligence in Supporting Cancer Patients.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

Training ChatGPT Models in Assisting Urologists in Daily Practice.
Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022
Ultra-short term trading using a neural-network based ensemble of financial technical indicators in a closed world market.
Intell. Decis. Technol., 2022

An experimental comparison of single-agent and multi-agent learning-and-playing algorithms in a gaming ecosystem.
Intell. Decis. Technol., 2022

A Data Pipeline Approach for Building Learning Analytics Dashboards.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu Greece, September 7, 2022

A Biologically Inspired Computational Trust Model based on the Perspective of the Trustee.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu Greece, September 7, 2022

Prediction of Hospitalization Using Machine Learning for Emergency Department Patients.
Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

A Distance Learning VR Technology Tool for Science Labs.
Proceedings of the 13th International Conference on Information, 2022

Cluster Analysis Assessment in Proposing a Surgical Technique for Benign Prostatic Enlargement.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Discovering Association Rules in Antimicrobial Resistance in Intensive Care Unit.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Using Association Rules in Antimicrobial Resistance in Stone Disease Patients.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Exploratory Clustering for Emergency Department Patients.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

Using Machine Learning for Predicting the Hospitalization of Emergency Department Patients.
Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021
Analyzing Sequence Data with Markov Chain Models in Scientific Experiments.
SN Comput. Sci., 2021

An IRT-based approach to assess the learning gain of a virtual reality lab students' experience.
Intell. Decis. Technol., 2021

Using machine learning techniques to predict hospital admission at the emergency department.
CoRR, 2021

Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients.
CoRR, 2021

Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains.
Proceedings of the Public Health and Informatics, 2021

Predicting Hospital Admission for Emergency Department Patients: A Machine Learning Approach.
Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

Inference Control in a Diabetes Data Set Using a Java-Based Prototype of LDH Algorithm.
Proceedings of the Informatics and Technology in Clinical Care and Public Health, 2021

2020
Polarity, emotions and online activity of students and tutors as features in predicting grades.
Intell. Decis. Technol., 2020

Personalized Interactive Edutainment in Extended Reality (XR) Laboratories.
ERCIM News, 2020

Intraday Ultra-Short-Term Forecasting of Foreign Exchange Rates using an Ensemble of Neural Networks based on Conventional Technical Indicators.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Local Distortion Hiding (LDH) Algorithm: a Java-based prototype.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Using UML Activity Diagram for Adapting Experiments under a Virtual Laboratory Environment.
Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

3D Simulations in Civil Engineering Laboratory Education.
Proceedings of the PCI 2020: 24th Pan-Hellenic Conference on Informatics, 2020

Exploiting Extended Reality Technologies for Educational Microscopy.
Proceedings of the Virtual Reality and Augmented Reality, 2020

XRLabs: Extended Reality Interactive Laboratories.
Proceedings of the 12th International Conference on Computer Supported Education, 2020

2019
Rating the skill of synthetic agents in competitive multi-agent environments.
Knowl. Inf. Syst., 2019

Using Minimum Local Distortion to Hide Decision Tree Rules.
Entropy, 2019

On Using Linear Diophantine Equations for in-Parallel Hiding of Decision Tree Rules.
Entropy, 2019

Gaming Ecosystems for Education and Research: Where Artificial Intelligence meets with Software Engineering, at scale.
Proceedings of the 11th International Conference on Management of Digital EcoSystems, 2019

Local Distortion Hiding in Financial Technology application: a case study with a benchmark data set.
Proceedings of the 10th International Conference on Information, 2019

Single Fingertip Detection Using Simple Geometric Properties of the Hand Image: A Case Study for Augmented Reality in an Educational App.
Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Hiding Decision Tree Rules in Medical Data: A Case Study.
Proceedings of the Health Informatics Vision: From Data via Information to Knowledge, 2019

2018
A gaming ecosystem as a tool for research and education in Artificial Intelligence.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

On Using Linear Diophantine Equations for Efficient Hiding of Decision Tree Rules.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Quantitative liquid simulation in an interactive 3D virtual laboratory.
Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

Virtual laboratories in biology, biotechnology and chemistry education: a literature review.
Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

2017
Assessing the Impact of Virtualizing Physical Labs.
CoRR, 2017

On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules.
CoRR, 2017

Decision Trees for Helpdesk Advisor Graphs.
CoRR, 2017

Multi-agents based virtual environments for cultural heritage.
Proceedings of the XXVI International Conference on Information, 2017

How Game Complexity Affects the Playing Behavior of Synthetic Agents.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2017

Neural Networks as a Learning Component for Designing Board Games.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
A platform for large-scale game-playing multi-agent systems on a high performance computing infrastructure.
Multiagent Grid Syst., 2016

Teacher-led design of an adaptive learning environment.
Interact. Learn. Environ., 2016

A Distributed Multi Agents Based Platform for High Performance Computing Infrastructures.
CoRR, 2016

Synthetic learning agents in game-playing social environments.
Adapt. Behav., 2016

Evolving Multi-Layer Neural Networks for Othello.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

ReSkill: Relative Skill-Level Calculation System.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Artificial Intelligence meets Software Engineering in Computing Education.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Data Set Operations to Hide Decision Tree Rules.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Using opponent models to train inexperienced synthetic agents in social environments.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015
Editorial.
Int. J. Artif. Intell. Tools, 2015

Development of grid-based multi agent systems for social learning.
Proceedings of the 6th International Conference on Information, 2015

Hiding decision tree rules by data set operations.
Proceedings of the 6th International Conference on Information, 2015

Human Rating Methods on Multi-agent Systems.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2015

Learning in Multi Agent Social Environments with Opponent Models.
Proceedings of the Multi-Agent Systems and Agreement Technologies, 2015

2014
A Learning Analytics Methodology for Student Profiling.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Developing a Game Server for Humans and Bots.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

A Pendulum Effect of Expert Playing in Games.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Adventure-Style Game-Based Learning for a Biology Lab.
Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

Ontological Modelling for Intelligent E-learning.
Proceedings of the IEEE 14th International Conference on Advanced Learning Technologies, 2014

Adventure-Style Serious Game for a Science Lab.
Proceedings of the Open Learning and Teaching in Educational Communities, 2014

2013
Short-Term Trend Prediction of Foreign Exchange rates with a Neural-Network Based Ensemble of Financial Technical indicators.
Int. J. Artif. Intell. Tools, 2013

Building a social multi-agent system simulation management toolbox.
Proceedings of the Balkan Conference in Informatics, 2013

2012
Emerge-Sort: Swarm Intelligence Sorting.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Social Reinforcement Learning in Game Playing.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

2011
Consolidating a Heuristic for Incremental Decision Tree Learning through asymptotic Analysis.
Int. J. Artif. Intell. Tools, 2011

2010
Lossless fitness inheritance in genetic algorithms for decision trees.
Soft Comput., 2010

Examples as Interaction: on Humans Teaching a Computer to Play a Game.
Int. J. Artif. Intell. Tools, 2010

Time Does Not Always Buy Quality in Co-evolutionary Learning.
Proceedings of the Artificial Intelligence: Theories, 2010

2009
A Prototype for Educational Planning Using Course Constraints to Simulate Student Populations.
Int. J. Artif. Intell. Tools, 2009

2008
Profiling Group Activity of Online Academic Workspaces: The Hellenic Open University Case Study.
Int. J. Web Based Learn. Teach. Technol., 2008

Emerge-Sort: Converging to Ordered Sequences by Simple Local Operators
CoRR, 2008

Students working for students on programming courses.
Comput. Educ., 2008

Player Co-Modelling in a Strategy Board Game: Discovering How to Play Fast.
Cybern. Syst., 2008

Myopic Distributed Protocols for Singleton and Independent-Resource Congestion Games.
Proceedings of the Experimental Algorithms, 7th International Workshop, 2008

Evolving Computer Game Playing via Human-Computer Interaction: Machine Learning Tools in the Knowledge Engineering Life-Cycle.
Proceedings of the Knowledge-Based Software Engineering, 2008

2007
On the Software and Knowledge Engineering Aspects of the Educational Process.
Int. J. Softw. Eng. Knowl. Eng., 2007

Using Course Constraints in Simulating Student Populations
CoRR, 2007

Measuring Expert Impact on Learning how to Play a Board Game.
Proceedings of the Artificial Intelligence and Innovations 2007: from Theory to Applications, 2007

2006
Managing the Decision Tree Life-Cycle with Components.
Int. J. Inf. Commun. Technol. Educ., 2006

Lossless fitness inheritance in genetic algorithms for decision trees
CoRR, 2006

On Measuring the Impact of Human Actions in the Machine Learning of a Board Game's Playing Policies
CoRR, 2006

Analyzing Student Performance in Distance Learning with Genetic Algorithms and Decision Trees.
Appl. Artif. Intell., 2006

On Small Data Sets Revealing Big Differences.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

On the Software Engineering Aspects of Educational Intelligence.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Using Genetic Algorithms and Decision Trees for <i>a posteriori</i> Analysis and Evaluation of Tutoring Practices based on Student Failure Models.
Proceedings of the Artificial Intelligence Applications and Innovations, 2006

Tracking User Participation in a Large Scale Team Collaboration Environment.
Proceedings of the EC-TEL06 Workshops, Crete, Greece , October 1-2, 2006, 2006

2005
Improving Professional Conduct in Publishing.
Computer, 2005

2002
Interactive Verification of Game Design and Playing Strategies.
Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2002), 2002

2001
On verifying game designs and playing strategies using reinforcement learning.
Proceedings of the 2001 ACM Symposium on Applied Computing (SAC), 2001

Breeding Decision Trees Using Evolutionary Techniques.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000
Stable Decision Trees: Using Local Anarchy for Efficient Incremental Learning.
Int. J. Artif. Intell. Tools, 2000

Induction of decision trees in numeric domains using set-valued attributes.
Intell. Data Anal., 2000

Decision Tree Toolkit: A Component-Based Library of Decision Tree Algorithms.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

GA Tree: genetically evolved decision trees.
Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000

1999
Controlled Flux Results in Stable Decision Trees.
Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999

1996
Efficient Incremental Induction of Decision Trees.
Mach. Learn., 1996

1993
A novel fast and reliable thinning algorithm.
Image Vis. Comput., 1993


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