Athanasios K. Tsadiras

Orcid: 0000-0002-9887-8983

According to our database1, Athanasios K. Tsadiras authored at least 39 papers between 1997 and 2024.

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

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2024
Retail Demand Forecasting: A Multivariate Approach and Comparison of Boosting and Deep Learning Methods.
Int. J. Artif. Intell. Tools, June, 2024

Two Lot-Sizing Algorithms for Minimizing Inventory Cost and Their Software Implementation.
Inf., March, 2024

Using Boosting and Neural Networks Methods to Detect Healthcare Fraud.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023
Comparing Machine Learning Techniques for House Price Prediction.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Pre-launch Fashion Product Demand Forecasting Using Machine Learning Algorithms.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

2022
Applying machine learning techniques to predict and explain subscriber churn of an online drug information platform.
Neural Comput. Appl., 2022

A Machine Learning Approach for Solving the Frozen User Cold-Start Problem in Personalized Mobile Advertising Systems.
Algorithms, 2022

Comparing Boosting and Deep Learning Methods on Multivariate Time Series for Retail Demand Forecasting.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

2021
Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework.
Inf., 2021

Using Machine Learning Methods to Predict Subscriber Churn of a Web-Based Drug Information Platform.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2018
Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems.
Expert Syst. Appl., 2018

2017
Modeling human daily preferences through a context-aware web-mapping system using semantic technologies.
Pervasive Mob. Comput., 2017

Fuzzy cognitive maps as a decision support tool for container transport logistics.
Evol. Syst., 2017

2015
A context-aware web-mapping system for group-targeted offers using semantic technologies.
Expert Syst. Appl., 2015

Decision Making on Container Based Logistics Using Fuzzy Cognitive Maps.
Proceedings of the Engineering Applications of Neural Networks, 2015

2014
Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps.
Proceedings of the Fuzzy Cognitive Maps for Applied Sciences and Engineering, 2014

Providing a context-aware location based web service through semantics and user-defined rules.
Proceedings of the 4th International Conference on Web Intelligence, 2014

Geosocial SPLIS: A Rule-Based Service for Context-aware Point of Interest Exploration.
Proceedings of the RuleML 2014 Challenge and the RuleML 2014 Doctoral Consortium hosted by the 8th International Web Rule Symposium, 2014

Using Rules to Develop a Personalized and Social Location Information System for the Semantic Web.
Proceedings of the Rules on the Web. From Theory to Applications, 2014

2013
Evaluating time variations to identify valuable association rules in market basket analysis.
Intell. Decis. Technol., 2013

RuleML representation and simulation of Fuzzy Cognitive Maps.
Expert Syst. Appl., 2013

An artificial neural network based decision support system for solving the buffer allocation problem in reliable production lines.
Comput. Ind. Eng., 2013

A Comparison of Three Search Algorithms for Solving the Buffer Allocation Problem in Reliable Production Lines.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

A Rule Based Personalized Location Information System for the Semantic Web.
Proceedings of the E-Commerce and Web Technologies - 14th International Conference, 2013

2012
PLIS+: A Rule-Based Personalized Location Information System.
Proceedings of the RuleML2012@ECAI Challenge, 2012

Personalizing Location Information through Rule-Based Policies.
Proceedings of the Rules on the Web: Research and Applications, 2012

2011
Time Variations of Association Rules in Market Basket Analysis.
Proceedings of the Artificial Intelligence Applications and Innovations, 2011

2008
Comparing the inference capabilities of binary, trivalent and sigmoid fuzzy cognitive maps.
Inf. Sci., 2008

A Prolog Based System That Assists Experts to Construct and Simulate Fuzzy Cognitive Maps.
Proceedings of the Artificial Intelligence: Theories, 2008

2006
Developing Personalized E-Books: A Multi-Layered Approach.
Proceedings of the Artificial Intelligence Applications and Innovations, 2006

2005
Using Fuzzy Cognitive Maps as a Decision Support System for Political Decisions: The Case of Turkey's Integration into the European Union.
Proceedings of the Advances in Informatics, 2005

2001
A study of the two unit certainty neuron fuzzy cognitive map.
Neural Parallel Sci. Comput., 2001

Using Fuzzy Cognitive Maps as a Decision Support System for Political Decisions.
Proceedings of the Advances in Informatics, 8th Panhellenic Conference on Informatics, 2001

Fuzzy cognitive map as a decision support system for political decisions: The case of "Great Albania".
Proceedings of the 5th Hellenic-European Conference on Computer Mathematics and its Applications (HERCMA-01), 2001

1999
Neural networks for blind separation with unknown number of sources.
Neurocomputing, 1999

1998
Two neuron fuzzy cognitive map dynamics.
Int. J. Comput. Math., 1998

The MYCIN certainty factor handling function as uninorm operator and its use as a threshold function in artificial neurons.
Fuzzy Sets Syst., 1998

1997
ΤΕΧΝΗΤΗ ΝΟΗΜΟΣΥΝΗ - ΑΣΑΦΕΙΣ ΓΝΩΣΤΙΚΕΣ ΑΠΕΙΚΟΝΙΣΕΙΣ ΚΑΙ ΝΕΥΡΩΝΕΣ ΒΕΒΑΙΟΤΗΤΑΣ
PhD thesis, 1997

Cognitive Mapping and Certainty Neuron Fuzzy Cognitive Maps.
Inf. Sci., 1997


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