Ioannis P. Vlahavas

Orcid: 0000-0003-3477-8825

Affiliations:
  • Aristotle University of Thessaloniki, Greece


According to our database1, Ioannis P. Vlahavas authored at least 211 papers between 1987 and 2024.

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Bibliography

2024
UNSURE - A machine learning approach to cryptocurrency trading.
Appl. Intell., April, 2024

Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data.
Int. J. Artif. Intell. Tools, February, 2024

SABER: Stochastic-Aware Bootstrap Ensemble Ranking for portfolio management.
Expert Syst. Appl., 2024

Predictive Maintenance Under Absence of Sensor Data.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

ViT<sup>2</sup> - Pre-training Vision Transformers for Visual Times Series Forecasting.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023
Combining deep reinforcement learning with technical analysis and trend monitoring on cryptocurrency markets.
Neural Comput. Appl., October, 2023

Lucy-SKG: Learning to Play Rocket League Efficiently Using Deep Reinforcement Learning.
CoRR, 2023

From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning.
IEEE Access, 2023

Towards a Systems Pharmacology Ontology: the use of state-machines paradigm.
Proceedings of the 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS 2023), 2023

Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind Arguments.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

End-to-End Aspect Extraction and Aspect-Based Sentiment Analysis Framework for Low-Resource Languages.
Proceedings of the Intelligent Systems and Applications, 2023

Classifying Intelligence Tests Patterns Using Machine Learning Methods.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

Serious Escape Room Game for Personality Assessment.
Proceedings of the Games and Learning Alliance - 12th International Conference, 2023

DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
Sector-level sentiment analysis with deep learning.
Knowl. Based Syst., 2022

REIN-2: Giving birth to prepared reinforcement learning agents using reinforcement learning agents.
Neurocomputing, 2022

Transforming Drug-Drug Interaction Extraction from Biomedical Literature.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity.
Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Retail Demand Forecasting for 1 Million Products.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

AlphaBluff: An AI-Powered Heads-Up No-Limit Texas Hold'em Poker Video Game.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
TransforMED: End-to-Εnd Transformers for Evidence-Based Medicine and Argument Mining in medical literature.
J. Biomed. Informatics, 2021

A neural Entity Coreference Resolution review.
Expert Syst. Appl., 2021

CoreLM: Coreference-aware Language Model Fine-Tuning.
CoRR, 2021

TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions.
Artif. Intell. Medicine, 2021

Improved Biomedical Entity Recognition via Longer Context Modeling.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

2020
Deep Reinforcement Learning: A State-of-the-Art Walkthrough.
J. Artif. Intell. Res., 2020

E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks.
CoRR, 2020

EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature.
Artif. Intell. Medicine, 2020

Drug-Drug Interaction Classification Using Attention Based Neural Networks.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Serious Game Development for the Diagnosis of Major Depressive Disorder Cases Using Machine Learning Methods (short paper).
Proceedings of the Workshops of the 11th EETN Conference on Artificial Intelligence 2020 co-located with the 11th EETN Conference on Artificial Intelligence (SETN 2020), 2020

Multi-target regression via output space quantization.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

LionForests: local interpretation of random forests.
Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI) co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020

2019
The anatomy of bacteria-inspired nanonetworks: Molecular nanomachines in message dissemination.
Nano Commun. Networks, 2019

Learning to Teach Reinforcement Learning Agents.
Mach. Learn. Knowl. Extr., 2019

Information Theoretic Multi-Target Feature Selection via Output Space Quantization.
Entropy, 2019

Multi-target feature selection through output space clustering.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018
PaaSport semantic model: An ontology for a platform-as-a-service semantically interoperable marketplace.
Data Knowl. Eng., 2018

Real Time Location Based Sentiment Analysis on Twitter: The AirSent System.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

2017
A semantic recommendation algorithm for the PaaSport platform-as-a-service marketplace.
Expert Syst. Appl., 2017

FIFS: A data mining method for informative marker selection in high dimensional population genomic data.
Comput. Biol. Medicine, 2017

Large-scale online semantic indexing of biomedical articles via an ensemble of multi-label classification models.
J. Biomed. Semant., 2017

Machine Learning Methods for Customer's Payment Acceptance Prediction in an Electricity Distribution Company.
Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017

Message dissemination dynamics in biological communication systems: A reaction-diffusion approach.
Proceedings of the 24th International Conference on Telecommunications, 2017

Combining Inter-Review Learning-to-Rank and Intra-Review Incremental Training for Title and Abstract Screening in Systematic Reviews.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
The Tomaco Hybrid Matching Framework for SAWSDL Semantic Web Services.
IEEE Trans. Serv. Comput., 2016

Multi-target regression via input space expansion: treating targets as inputs.
Mach. Learn., 2016

A smart university platform for building energy monitoring and savings.
J. Ambient Intell. Smart Environ., 2016

Integrating multiple immunogenetic data sources for feature extraction and mining somatic hypermutation patterns: the case of "towards analysis" in chronic lymphocytic leukaemia.
BMC Bioinform., 2016

Ensemble Feature Selection using Rank Aggregation Methods for Population Genomic Data.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

A Novel Bacteria-Based Broadcast System Exploiting Chemotaxis.
Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, 2016

2015
Rule-based approaches for energy savings in an ambient intelligence environment.
Pervasive Mob. Comput., 2015

Dynamic ensemble pruning based on multi-label classification.
Neurocomputing, 2015

Semantically Aware Web Service Composition Through AI Planning.
Int. J. Artif. Intell. Tools, 2015

Transfer learning with probabilistic mapping selection.
Adapt. Behav., 2015

A prediction model of passenger demand using AVL and APC data from a bus fleet.
Proceedings of the 19th Panhellenic Conference on Informatics, 2015

Improving Diversity in Image Search via Supervised Relevance Scoring.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

AUTH-Atypon at BioASQ 3: Large-Scale Semantic Indexing in Biomedicine.
Proceedings of the Working Notes of CLEF 2015, 2015

2014
A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval.
IEEE Trans. Multim., 2014

Editorial.
Int. J. Artif. Intell. Tools, 2014

Reinforcement learning agents providing advice in complex video games.
Connect. Sci., 2014

Pattern discovery for microsatellite genome analysis.
Comput. Biol. Medicine, 2014

Feature Evaluation Metrics for Population Genomic Data.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

An Autonomous Transfer Learning Algorithm for TD-Learners.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Multi-target Regression via Random Linear Target Combinations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

SocialSensor: Finding Diverse Images at MediaEval 2014.
Proceedings of the Working Notes Proceedings of the MediaEval 2014 Workshop, 2014

A Multi-agent Coordination Framework for Smart Building Energy Management.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

Ensemble Approaches for Large-Scale Multi-Label Classification and Question Answering in Biomedicine.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013
The PORSCE II framework: using AI planning for automated Semantic Web service composition.
Knowl. Eng. Rev., 2013

Transferring task models in Reinforcement Learning agents.
Neurocomputing, 2013

A Holistic Virtual Laboratory on Wireless Communications and Sensor Networks.
Int. J. Interact. Mob. Technol., 2013

aWESoME: A web service middleware for ambient intelligence.
Expert Syst. Appl., 2013

A survey of service composition in ambient intelligence environments.
Artif. Intell. Rev., 2013

Iridescent: a tool for rapid semantic annotation of web service descriptions.
Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics, 2013

Large-Scale Semantic Indexing of Biomedical Publications.
Proceedings of the first Workshop on Bio-Medical Semantic Indexing and Question Answering, 2013

Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013

Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract).
Proceedings of the Lifelong Machine Learning, 2013

2012
An Integrated Approach to Automated Semantic Web Service Composition through Planning.
IEEE Trans. Serv. Comput., 2012

Multi-Label Classification Methods for Multi-Target Regression
CoRR, 2012

StackTIS: A stacked generalization approach for effective prediction of translation initiation sites.
Comput. Biol. Medicine, 2012

IRISPortal: a semantic portal for industrial risk cases management.
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012

An empirical study on the combination of surf features with VLAD vectors for image search.
Proceedings of the 13th International Workshop on Image Analysis for Multimedia Interactive Services, 2012

Virtual laboratories on wireless communications: A contemporary, extensible approach.
Proceedings of the IEEE Global Engineering Education Conference, 2012

2011
Random k-Labelsets for Multilabel Classification.
IEEE Trans. Knowl. Data Eng., 2011

MULAN: A Java Library for Multi-Label Learning.
J. Mach. Learn. Res., 2011

PolyA-iEP: A data mining method for the effective prediction of polyadenylation sites.
Expert Syst. Appl., 2011

Multi-label classification of music by emotion.
EURASIP J. Audio Speech Music. Process., 2011

On the Stratification of Multi-label Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Multi-label Learning Approaches for Music Instrument Recognition.
Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification.
Proceedings of the IJCAI 2011, 2011

Transferring Models in Hybrid Reinforcement Learning Agents.
Proceedings of the Engineering Applications of Neural Networks, 2011

A System for Energy Savings in an Ambient Intelligence Environment.
Proceedings of the Information and Communication on Technology for the Fight against Global Warming, 2011

Transfer Learning via Multiple Inter-task Mappings.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

Transferring Evolved Reservoir Features in Reinforcement Learning Tasks.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

Transfer Learning in Multi-Agent Reinforcement Learning Domains.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

MLKD's Participation at the CLEF 2011 Photo Annotation and Concept-Based Retrieval Tasks.
Proceedings of the CLEF 2011 Labs and Workshop, 2011

2010
Mining Multi-label Data.
Proceedings of the Data Mining and Knowledge Discovery Handbook, 2nd ed., 2010

An ensemble uncertainty aware measure for directed hill climbing ensemble pruning.
Mach. Learn., 2010

Tracking recurring contexts using ensemble classifiers: an application to email filtering.
Knowl. Inf. Syst., 2010

A visual programming system for automated problem solving.
Expert Syst. Appl., 2010

Mining for Mutually Exclusive Gene Expressions.
Proceedings of the Artificial Intelligence: Theories, 2010

Semantic Awareness in Automated Web Service Composition through Planning.
Proceedings of the Artificial Intelligence: Theories, 2010

Instance-Based Ensemble Pruning via Multi-Label Classification.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Obtaining Bipartitions from Score Vectors for Multi-Label Classification.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

System Architecture for a Smart University Building.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Deploying a Semantically-Enabled Content Management System in a State University.
Proceedings of the Electronic Government and the Information Systems Perspective, 2010

2009
An Ensemble Pruning Primer.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

An adaptive personalized news dissemination system.
J. Intell. Inf. Syst., 2009

Pruning an ensemble of classifiers via reinforcement learning.
Neurocomputing, 2009

Applying adaptive prediction to sea-water quality measurements.
Expert Syst. Appl., 2009

Semantic Web Service Composition Using Planning and Ontology Concept Relevance.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

An Empirical Study of Multi-label Learning Methods for Video Annotation.
Proceedings of the Seventh International Workshop on Content-Based Multimedia Indexing, 2009

Transferring experience in reinforcement learning through task decomposition.
Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

Distributed Data Mining.
Proceedings of the Database Technologies: Concepts, 2009

2008
An empirical study on sea water quality prediction.
Knowl. Based Syst., 2008

Greedy regression ensemble selection: Theory and an application to water quality prediction.
Inf. Sci., 2008

A Hybrid Multiagent Reinforcement Learning Approach Using Strategies and Fusion.
Int. J. Artif. Intell. Tools, 2008

An ontology-based planning system for e-course generation.
Expert Syst. Appl., 2008

Regression via Classification applied on software defect estimation.
Expert Syst. Appl., 2008

An Empirical Study of Lazy Multilabel Classification Algorithms.
Proceedings of the Artificial Intelligence: Theories, 2008

MOpiS: A Multiple Opinion Summarizer.
Proceedings of the Artificial Intelligence: Theories, 2008

Multi-Label Classification of Music into Emotions.
Proceedings of the ISMIR 2008, 2008

A Synergy of Planning and Ontology Concept Ranking for Semantic Web Service Composition.
Proceedings of the Advances in Artificial Intelligence, 2008

Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection.
Proceedings of the ECAI 2008, 2008

Reinforcement Learning with Classifier Selection for Focused Crawling.
Proceedings of the ECAI 2008, 2008

An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams.
Proceedings of the ECAI 2008, 2008

Polyadenylation site prediction using interesting emerging patterns.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Detection and Prediction of Rare Events in Transaction Databases.
Int. J. Artif. Intell. Tools, 2007

An interoperable and scalable Web-based system for classifier sharing and fusion.
Expert Syst. Appl., 2007

Monitoring water quality through a telematic sensor network and a fuzzy expert system.
Expert Syst. J. Knowl. Eng., 2007

Accurate Classification of SAGE Data Based on Frequent Patterns of Gene Expression.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Multi-agent Reinforcement Learning Using Strategies and Voting.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007

Cooperative CG-Wrappers for Web Content Extraction.
Proceedings of the Conceptual Structures: Knowledge Architectures for Smart Applications, 2007

Random <i>k</i> -Labelsets: An Ensemble Method for Multilabel Classification.
Proceedings of the Machine Learning: ECML 2007, 2007

2006
Communicating sequential processes for distributed constraint satisfaction.
Inf. Sci., 2006

R-DEVICE: An Object-Oriented Knowledge Base for RDF Metadata.
Int. J. Semantic Web Inf. Syst., 2006

A Defeasible Logic Reasoner for the Semantic Web.
Int. J. Semantic Web Inf. Syst., 2006

Towards Automatic Synthesis of Educational Resources Through Automated Planning.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Prediction of Translation Initiation Sites Using Classifier Selection.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

Ensemble Pruning Using Reinforcement Learning.
Proceedings of the Advances in Artificial Intelligence, 4th Helenic Conference on AI, 2006

PersoNews: A Personalized News Reader Enhanced by Machine Learning and Semantic Filtering.
Proceedings of the On the Move to Meaningful Internet Systems 2006: CoopIS, 2006

A Novel Data Mining Approach for the Accurate Prediction of Translation Initiation Sites.
Proceedings of the Biological and Medical Data Analysis, 7th International Symposium, 2006

Software Defect Prediction Using Regression via Classification.
Proceedings of the 2006 IEEE/ACS International Conference on Computer Systems and Applications (AICCSA 2006), 2006

2005
A Visualization Environment for Planning.
Int. J. Artif. Intell. Tools, 2005

Selective fusion of heterogeneous classifiers.
Intell. Data Anal., 2005

Mining for weak periodic signals in time series databases.
Intell. Data Anal., 2005

Web Service Composition Using a Deductive XML Rule Language.
Distributed Parallel Databases, 2005

Hybrid ACE: Combining Search Directions for Heuristic Planning.
Comput. Intell., 2005

HAPRC: an automatically configurable planning system.
AI Commun., 2005

Improving the Accuracy of Classifiers for the Prediction of Translation Initiation Sites in Genomic Sequences.
Proceedings of the Advances in Informatics, 2005

On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams.
Proceedings of the Advances in Informatics, 2005

Protein Classification with Multiple Algorithms.
Proceedings of the Advances in Informatics, 2005

A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web.
Proceedings of the Advances in Informatics, 2005

Biological Data Mining.
Proceedings of the Encyclopedia of Database Technologies and Applications, 2005

2004
Distributed singleton consistency.
J. Exp. Theor. Artif. Intell., 2004

Clustering classifiers for knowledge discovery from physically distributed databases.
Data Knowl. Eng., 2004

Using the k-Nearest Problems for Adaptive Multicriteria Planning.
Proceedings of the Methods and Applications of Artificial Intelligence, 2004

R-DEVICE: A Deductive RDF Rule Language.
Proceedings of the Rules and Rule Markup Languages for the Semantic Web: Third International Workshop, 2004

DR-DEVICE: A Defeasible Logic System for the Semantic Web.
Proceedings of the Principles and Practice of Semantic Web Reasoning, 2004

Predicting Missing Parts in Time Series Using Uncertainty Theory.
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 2004

Effective Voting of Heterogeneous Classifiers.
Proceedings of the Machine Learning: ECML 2004, 2004

Lazy Adaptive Multicriteria Planning.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

2003
InterBase-KB: Integrating a Knowledge Base System with a Multidatabase System for Data Warehousing.
IEEE Trans. Knowl. Data Eng., 2003

"Cultures in negotiation": teachers' acceptance/resistance attitudes considering the infusion of technology into schools.
Comput. Educ., 2003

Multiobjective heuristic state-space planning.
Artif. Intell., 2003

Capturing RDF Descriptive Semantics in an Object Oriented Knowledge Base System.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Learning Rules for Adaptive Planning.
Proceedings of the Thirteenth International Conference on Automated Planning and Scheduling (ICAPS 2003), 2003

Using Logic for Querying XML Data.
Proceedings of the Web-Powered Databases, 2003

2002
Smart VideoText: a video data model based on conceptual graphs.
Multim. Syst., 2002

MACLP: multi agent constraint logic programming.
Inf. Sci., 2002

ExperNet: An Intelligent Multiagent System for WAN Management.
IEEE Intell. Syst., 2002

CSPCONS: A Communicating Sequential Prolog with Constraints.
Proceedings of the Methods and Applications of Artificial Intelligence, 2002

Intelligent Querying of Web Documents Using a Deductive XML Repository.
Proceedings of the Methods and Applications of Artificial Intelligence, 2002

On the Discovery of Weak Periodicities in Large Time Series.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Effective Stacking of Distributed Classifiers.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

Multiple and Partial Periodicity Mining in Time Series Databases.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

A Heuristic for Planning Based on Action Evaluation.
Proceedings of the Artificial Intelligence: Methodology, 2002

2001
Parallel planning via the distribution of operators.
J. Exp. Theor. Artif. Intell., 2001

The GRT Planning System: Backward Heuristic Construction in Forward State-Space Planning.
J. Artif. Intell. Res., 2001

The GRT Planner.
AI Mag., 2001

A Knowledge Based Approach on Educational Metadata Use.
Proceedings of the Advances in Informatics, 8th Panhellenic Conference on Informatics, 2001

2000
E-DEVICE: An Extensible Active Knowledge Base System with Multiple Rule Type Support.
IEEE Trans. Knowl. Data Eng., 2000

Knowledge based evaluation of software systems: a case study.
Inf. Softw. Technol., 2000

The GRT Planner: New Results.
Proceedings of the Local Search for Planning and Scheduling, 2000

Heuristic Planning with Resources.
Proceedings of the ECAI 2000, 2000

Exploiting State Constraints in Heuristic State-Space Planning.
Proceedings of the Fifth International Conference on Artificial Intelligence Planning Systems, 2000

1999
PARCIS: a robust parallel VLSI circuit simulator.
Simul. Pract. Theory, 1999

OASys: an AND/OR parallel logic programming system.
Parallel Comput., 1999

ESSE: an expert system for software evaluation.
Knowl. Based Syst., 1999

GRT: A Domain Independent Heuristic for STRIPS Worlds Based on Greedy Regression Tables.
Proceedings of the Recent Advances in AI Planning, 5th European Conference on Planning, 1999

1998
Exploiting and-or parallelism in Prolog: The OASys computational model and abstract architecture.
J. Syst. Softw., 1998

System Architecture of a Distributed Expert System for the Management of a National Data Network.
Proceedings of the Artificial Intelligence: Methodology, 1998

1997
DEVICE: Compiling production rules into event-driven rules using complex events.
Inf. Softw. Technol., 1997

Processing Production Rules in DEVICE, and Active Knowledge Base System.
Data Knowl. Eng., 1997

1996
Hierarchical Query Execution in a Parallel Object-Oriented Database System.
Parallel Comput., 1996

Multiple OR-Parallel Resolution: Meta-Level Control of Parallel Logic Programs.
Proceedings of the Euro-Par '96 Parallel Processing, 1996

1995
Constraint Checking in a Parallel Object-oriented Database System.
Parallel Algorithms Appl., 1995

PRACTIC: A Concurrent Object Data Model for a Parallel Object-Oriented Database System.
Inf. Sci., 1995

Comfresh: A Common Framework for Expert Systems and Hypertext.
Inf. Process. Manag., 1995

A Non-Uniform Data Fragmentation Strategy for Parallel Main-Menory Database Systems.
Proceedings of the VLDB'95, 1995

1994
A contribution to the problem of avoiding congestion in multistage networks in the presence of unbalanced traffic.
J. Syst. Softw., 1994

Modelling Constraints with Exceptions in Object-Oriented Databases.
Proceedings of the Entity-Relationship Approach, 1994

1993
A novel flow control and switching strategy for preventing hotspot congestion in multistage networks.
Microprocess. Microsystems, 1993

Flow control and switching strategy for preventing congestion in multistage networks.
Proceedings of the Architecture and Protocols for High-Speed Networks [1st Int. Workshop, 1993

1992
A parallel Prolog resolution based on multiple unifications.
Parallel Comput., 1992

An abstract prolog machine based on parallel resolution principle.
Microprocess. Microprogramming, 1992

1989
L-machine: A low-cost personal sequential inference machine.
J. Syst. Softw., 1989

1987
A RISC prolog machine architecture.
Microprocess. Microprogramming, 1987


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