M. Petridis

Miltos Petridis, Alan J. Thomas, Simon D. Walters, 2015, 2015 International Conference on Computational Science and Computational Intelligence (CSCI).

Formulating the Temporal Causal Relationships Between Events and Their Results

Brian Knight, Miltos Petridis, Jixin Ma, 2013, SGAI Conf..

Temporal model for business process

Brian Knight, Miltos Petridis, Jixin Ma, 2011, Intell. Decis. Technol..

Temporal Ordered Image Encryption

Xiaoyi Zhou, Wencai Du, Miltos Petridis, 2011, 2011 Third International Conference on Communications and Mobile Computing.

A Graphical Representation for Uncertain and Incomplete Temporal Knowledge

Brian Knight, Miltos Petridis, Xiao Bai, 2010, 2010 Second WRI Global Congress on Intelligent Systems.

Notice of RetractionOrder, duration and gap — Take them all

Bai Xiao, Miltos Petridis, Jixin Ma, 2010, 2010 3rd International Conference on Computer Science and Information Technology.

The Optimal Temporal Common Subsequence

Miltos Petridis, Jixin Ma, Xiaoyi Zhou, 2010, The 2nd International Conference on Software Engineering and Data Mining.

Temporal Pattern Recognition in Video Clips Detection

Miltos Petridis, Jin Tang, Bin Luo, 2009, 2009 Eighth IEEE/ACIS International Conference on Computer and Information Science.

A Robust Approach to Subsequence Matching

Miltos Petridis, Jin Tang, Bin Luo, 2009, SERA.

A Sound and Complete Reified Temporal Logic

Guoxing Zhao, Miltos Petridis, Jixin Ma, 2008, 2008 Ninth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing.

Deriving Explanations From Partial Temporal Information

Brian Knight, Miltos Petridis, Jixin Ma, 2008, ExaCt.

Visualizing a temporal consistency checker

Miltos Petridis, Jixin Ma, B. Knight, 2005, Ninth International Conference on Information Visualisation (IV'05).

Intrusion Detection and Classification with Autoencoded Deep Neural Network

Aboubaker Lasebae, Miltos Petridis, Tahmina Zebin, 2018, SecITC.

A blackboard architecture for a hybrid CBR system for scientific software

Brian Knight, Miltos Petridis, M. Petridis, 2001 .

Performance Evaluation of Statistical Techniques for Adaptive Scheduling in Autonomic Systems

Richard Anthony, Miltos Petridis, Omer Khalid, 2012 .

Deadline Aware Virtual Machine Scheduler for Grid and Cloud Computing

Miltos Petridis, Ivo Maljevic, Richard J. Anthony, 2010, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.

Dynamic Scheduling of Virtual Machines Running HPC Workloads in Scientific Grids

Miltos Petridis, Ivo Maljevic, Richard J. Anthony, 2009, 2009 3rd International Conference on New Technologies, Mobility and Security.

Enabling and optimizing pilot jobs using xen based virtual machines for the HPC grid applications pdf

Miltos Petridis, Richard J. Anthony, Katarzyna Keahey, 2009, VTDC '09.

Exposing the Influencing Factors on Software Project Delay with Actor-Network Theory

Miltos Petridis, Robert T. Hughes, Zana Ahmedshareef, 2014 .

An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks

Aboubaker Lasebae, Yuan Luo, Miltos Petridis, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

An Ensemble Method: Case-Based Reasoning and the Inverse Problems in Investigating Financial Bubbles

Miltos Petridis, Stelios Kapetanakis, Georgios Samakovitis, 2019, ICCC.

An Agent Based Framework for Multiple, Heterogeneous Case Based Reasoning

Miltos Petridis, Elena Irena Teodorescu, E. I. Teodorescu, 2013, ICCBR.

Integration of BPM systems

Miltos Petridis, Liz Bacon, Chaoying Ma, 2010 .

CBE-Conveyor: A Case-Based Reasoning System to Assist Engineers in Designing Conveyor Systems

Mayur K. Patel, Brian Knight, Miltos Petridis, 2005, ICCBR.

Case Base Reduction Using Solution-Space Metrics

Brian Knight, Miltos Petridis, Fei Ling Woon, 2003, ICCBR.

Intelligent design assistant (IDA): a case base reasoning system for material and design

Miltos Petridis, Patrick Mejasson, Brian Knight, 2001 .

A knowledge-based system to represent spatial reasoning for fire modelling

Edwin R. Galea, Brian Knight, Miltos Petridis, 1999 .

Business Process Workflow Mining Using Machine Learning Techniques for the Rail Transport Industry

Miltos Petridis, Stelios Kapetanakis, Eleftherios Bandis, 2018, SGAI Conf..

Dynamic Process Workflow Routing Using Deep Learning

Andreas Dengel, Miltos Petridis, Stelios Kapetanakis, 2018, SGAI Conf..

Evaluating Distributed Methods for CBR Systems for Monitoring Business Process Workflows

Andrew Fish, Miltos Petridis, Stelios Kapetanakis, 2016, ICCBR Workshops.

A Case Based Reasoning Approach for the Monitoring of Business Workflows

Brian Knight, Miltos Petridis, Stelios Kapetanakis, 2010, ICCBR.

Providing Explanations for the Intelligent Monitoring of Business Workflows Using Case-Based Reasoning

Miltos Petridis, Stelios Kapetanakis, Jixin Ma, 2010, ExaCt.

CBR-WIMS, an Architecture for the Intelligent Monitoring and Diagnosis of Workflows

Miltos Petridis, Stelios Kapetanakis, Jixin Ma, 2009 .

Conflicts Between Security and Privacy Measures in Software Requirements Engineering

Haralambos Mouratidis, Miltos Petridis, Saeed Malekshahi Gheytassi, 2015, ICGS3.

A novel recommendation method based on general matrix factorization and artificial neural networks

Miltos Petridis, Gharbi Alshammari, Nikolaos Polatidis, 2019, Neural Computing and Applications.

Improved Movie Recommendations Based on a Hybrid Feature Combination Method

Miltos Petridis, Gharbi Alshammari, Nikolaos Polatidis, 2019, Vietnam. J. Comput. Sci..

A Hybrid Feature Combination Method that Improves Recommendations

Miltos Petridis, Gharbi Alshammari, Nikolaos Polatidis, 2018, ICCCI.

A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations

Miltos Petridis, Gharbi Alshammari, Nikolaos Polatidis, 2018, EANN.

Research and Development in Intelligent Systems XXVI, Incorporating Applications and Innovations in Intelligent Systems XVII, Peterhouse College, Cambridge, UK, 15-17 December 2009

Miltos Petridis, Max Bramer, Richard D. Ellis, 2010, SGAI Conferences.

Predicting Dust Storms Using Hybrid Intelligence System

Miltos Petridis, Stelios Kapetanakis, Tariq Saad Al Murayziq, 2017, SGAI Conf..

Cooperative and Coordinated Mobile Femtocells Technology in High-Speed Vehicular Environments - Mobility and Interference Management

Ali Hussein Raheem, Aboubaker Lasebae, Miltos Petridis, 2021, AINA.

Research and Development in Intelligent Systems XXX

Miltos Petridis, Max Bramer, M. Bramer, 2013, Springer International Publishing.

A switching multi-level method for the long tail recommendation problem

Miltos Petridis, Gharbi Alshammari, Jose L. Jorro-Aragoneses, 2019, J. Intell. Fuzzy Syst..

Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning

Miltos Petridis, Stelios Kapetanakis, Georgios Samakovitis, 2017, SGAI Conf..

A Survey on Design Pattern Detection Approaches

Miltos Petridis, Stelios Kapetanakis, Mohammed Ghazi Al-Obeidallah, 2017 .

An Investigation on Online Versus Batch Learning in Predicting User Behaviour

Andrew Fish, Nour Ali, Miltos Petridis, 2016, SGAI Conf..

Research and Development in Intelligent Systems XXVII

Miltos Petridis, Max Bramer, Adrian Hopgood, 2011 .

The affordances of mixed method in software project management research

Miltos Petridis, Robert T. Hughes, Zana Ahmedshareef, 2014 .

Using Data Mining to Refine Digital Behaviour Change Interventions

John Kingston, Nathaniel Charlton, Miltos Petridis, 2017, DH.

A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations

Miltos Petridis, Gharbi Alshammari, Nikolaos Polatidis, 2019, IntelliSys.

Answering with Cases: A CBR Approach to Deep Learning

Andreas Dengel, Miltos Petridis, Stelios Kapetanakis, 2018, ICCBR.

Maintenance of a Case-Base for the Retrieval of Rotationally Symmetric Shapes for the Design of Metal Castings

Tony Mileman, Brian Knight, Miltos Petridis, 2000, EWCBR.

An automatic case based reasoning system using similarity measures between 3D shapes to assist in the design of metal castings

Soran Saeed, Brian Knight, Miltos Petridis, 2010 .

A Structural Rule-Based Approach for Design Patterns Recovery

Miltos Petridis, Stelios Kapetanakis, Mohammed Al-Obeidallah, 2017, SERA.

MLDA: A Multiple Levels Detection Approach for Design Patterns Recovery

Miltos Petridis, Stelios Kapetanakis, Mohammed Al-Obeidallah, 2017, ICCDA '17.

A Blackboard Based Hybrid Multi-Agent System for Improving Classification Accuracy Using Reinforcement Learning Techniques

Miltos Petridis, Stelios Kapetanakis, Vasileios Manousakis Kokorakis, 2017, SGAI Conf..

Intelligent Signal Processing for Dust Storm Prediction Using Ensemble Case-Based Reasoning

Miltos Petridis, Stelios Kapetanakis, Tariq Saad Al Murayziq, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Suggesting a Hybrid Approach: Mobile Apps with Big Data Analysis to Report and Prevent Crimes

M. Petridis, Ahmed Hassan, Clifford Sule, 2019, Security Informatics and Law Enforcement.