An Information System for the Effective Management of Ambulances. - Gregory Derekenaris; John D. Garofalakis; Christos Makris 001; Jim Prentzas; Spyros Sioutas; Athanasios K. Tsakalidis (CBMS, 2000)

Producing Modular Hybrid Rule Bases for Expert Systems. - Ioannis Hatzilygeroudis; Jim Prentzas (FLAIRS, 2000)

The Eurydices System: Objectives and Services. - Kostas Bovilas; Aspasia Kanta; Christos Makris 001; John Tsaknakis; Athanasios K. Tsakalidis; Jim Prentzas; Evangelos Sakkopoulos; Spyros Sioutas; Bill Vassiliadis (WebNet, 2000)

Introducing Internet and Intranet Technologies to a Port Authority. - Gregory Derekenaris; John D. Garofalakis; Jim Prentzas; Dimitris Sofotassios; Athanasios K. Tsakalidis (WebNet, 2000)

Designing an Adaptive Web-based Training System. - John D. Garofalakis; Aspasia Kanta; Christos Makris 001; Jim Prentzas; John Tsaknakis (WebNet, 2000)

Architectural Aspects of a Web-based System for Job Ads. - John D. Garofalakis; Penelope Markellou; John Moumtzidis; Jim Prentzas; Athanasios K. Tsakalidis (WebNet, 2000)

Neurules: Improving the Performance of Symbolic Rules. - Ioannis Hatzilygeroudis; Jim Prentzas (Int. J. Artif. Intell. Tools, 2000)

An Efficient Hybrid Rule Based Inference Engine with Explanation Capability. - Ioannis Hatzilygeroudis; Jim Prentzas (FLAIRS, 2001)

A Web-Based ITS Controlled by a Hybrid Expert System. - Jim Prentzas; Ioannis Hatzilygeroudis; Constantinos Koutsojannis (ICALT, 2001)

Constructing Modular Hybrid Rule Bases for Expert Systems. - Ioannis Hatzilygeroudis; Jim Prentzas (Int. J. Artif. Intell. Tools, 2001)

Updating a Hybrid Rule Base with Changes to its Symbolic Source Knowledge. - Jim Prentzas; Ioannis Hatzilygeroudis (ECAI, 2002)

Integrating Hybrid Rule-Based with Case-Based Reasoning. - Jim Prentzas; Ioannis Hatzilygeroudis (ECCBR, 2002)

Updating a Hybrid Rule Base with New Empirical Source Knowledge. - Jim Prentzas; Ioannis Hatzilygeroudis; Athanasios K. Tsakalidis (ICTAI, 2002)

A Web-Based Intelligent Tutoring System Using Hybrid Rules as Its Representational Basis. - Jim Prentzas; Ioannis Hatzilygeroudis; John D. Garofalakis (Intelligent Tutoring Systems, 2002)

Multi-inference with Multi-neurules. - Ioannis Hatzilygeroudis; Jim Prentzas (SETN, 2002)

Knowledge Representation Requirements for Intelligent Tutoring Systems. - Ioannis Hatzilygeroudis; Jim Prentzas (Intelligent Tutoring Systems, 2004)

Neuro-Symbolic Approaches for Knowledge Representation in Expert Systems. - Ioannis Hatzilygeroudis; Jim Prentzas (Int. J. Hybrid Intell. Syst., 2004)

Rule-based update methods for a hybrid rule base. - Jim Prentzas; Ioannis Hatzilygeroudis (Data Knowl. Eng., 2005)

A GA Driven Intelligent System for Medical Diagnosis. - Grigorios N. Beligiannis; Ioannis Hatzilygeroudis; Constantinos Koutsojannis; Jim Prentzas (KES (1), 2006)

Adult Distance Learning Using a Web-Based Learning Management System: Methodology and Results. - Konstantinos Antonis; Petros Lampsas; Jim Prentzas (ICWL, 2007)

Categorizing approaches combining rule-based and case-based reasoning. - Jim Prentzas; Ioannis Hatzilygeroudis (Expert Syst. J. Knowl. Eng., 2007)

Incrementally updating a hybrid rule base based on empirical data. - Jim Prentzas; Ioannis Hatzilygeroudis (Expert Syst. J. Knowl. Eng., 2007)

Improving the Integration of Neuro-Symbolic Rules with Case-Based Reasoning. - Jim Prentzas; Ioannis Hatzilygeroudis; Othon Michail (SETN, 2008)

Combinations of case-based reasoning with other intelligent methods. - Jim Prentzas; Ioannis Hatzilygeroudis (Int. J. Hybrid Intell. Syst., 2009)

Integrated Rule-Based Learning and Inference. - Ioannis Hatzilygeroudis; Jim Prentzas (IEEE Trans. Knowl. Data Eng., 2010)

Fuzzy and Neuro-Symbolic Approaches to Assessment of Bank Loan Applicants. - Ioannis Hatzilygeroudis; Jim Prentzas (AIAI, 2011)

Controlling the Production of Neuro-symbolic Rules. - Ioannis Hatzilygeroudis; Jim Prentzas (ICTAI, 2012)

Efficiently Merging Symbolic Rules into Integrated Rules. - Jim Prentzas; Ioannis Hatzilygeroudis (NeSy@AAAI, 2012)

Artificial Intelligence Methods in Early Childhood Education. - Jim Prentzas (Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013)

Fuzzy and Neuro-Symbolic Approaches in Personal Credit Scoring: Assessment of Bank Loan Applicants. - Ioannis Hatzilygeroudis; Jim Prentzas (Innovations in Intelligent Machines (4), 2014)

Improving efficiency of merging symbolic rules into integrated rules: splitting methods and mergability criteria. - Jim Prentzas; Ioannis Hatzilygeroudis (Expert Syst. J. Knowl. Eng., 2015)

Symbolic-neural rule based reasoning and explanation. - Ioannis Hatzilygeroudis; Jim Prentzas (Expert Syst. Appl., 2015)

Assessment of life insurance applications: an approach integrating neuro-symbolic rule-based with case-based reasoning. - Jim Prentzas; Ioannis Hatzilygeroudis (Expert Syst. J. Knowl. Eng., 2016)

Using Clustering Algorithms to Improve the Production of Symbolic-Neural Rule Bases from Empirical Data. - Jim Prentzas; Ioannis Hatzilygeroudis (Int. J. Artif. Intell. Tools, 2018)

An Approach using Certainty Factor Rules for Aphasia Diagnosis. - Georgia Konstantinopoulou; Konstantinos Kovas; Ioannis Hatzilygeroudis; Jim Prentzas (IISA, 2019)

Evaluation of Web-based Digital Storytelling Tools for Early Childhood Education. - Marianthi Manousi; Jim Prentzas (CSCI, 2021)

A Blended Learning Approach Supporting the Improvement of Primary School Students' Performance. - Stavros Tsetsos; Jim Prentzas (CSCI, 2021)

AI Approaches for the Prognosis of the Survival (or Not) of Patients with Bone Metastases. - Ioannis Hatzilygeroudis; Jim Prentzas (ICTAI, 2021)

Exploring Aspects Regarding Reasoning in Neuro-Symbolic Rules and Connectionist Expert Systems. - Jim Prentzas; Ioannis Hatzilygeroudis (IISA, 2021)

Neurules and connectionist expert systems: Unexplored neuro-symbolic reasoning aspects. - Jim Prentzas; Ioannis Hatzilygeroudis (Intell. Decis. Technol., 2021)

Assessing the Use of Open AI Chat-GPT in a University Department of Education. - Jim Prentzas; Maretta Sidiropoulou (IISA, 2023)