Expert Maintainers' Strategies and Needs when Understanding Software: A Case Study Approach. - Christos Tjortjis; Paul J. Layzell 001 (APSEC, 2001)

A Model for Selecting CSCW Technologies for Distributed Software Maintenance Teams in Virtual Organisations. - Christos Tjortjis; Georgios A. Dafoulas; Paul J. Layzell 001; Linda A. Macaulay (COMPSAC, 2002)

From System Comprehension to Program Comprehension. - Christos Tjortjis; Nicolas Gold; Paul J. Layzell 001; Keith H. Bennett (COMPSAC, 2002)

T3: A Classification Algorithm for Data Mining. - Christos Tjortjis; John A. Keane (IDEAL, 2002)

Experiences of Using a Quantitative Approach for Mining Association Rules. - Liang Dong; Christos Tjortjis (IDEAL, 2003)

Facilitating Program Comprehension by Mining Association Rules from Source Code. - Christos Tjortjis; Loukas Sinos; Paul J. Layzell 001 (IWPC, 2003)

PRICES: An Efficient Algorithm for Mining Association Rules. - Chuan Wang; Christos Tjortjis (IDEAL, 2004)

Data Mining Source Code to Facilitate Program Comprehension: Experiments on Clustering Data Retrieved from C++ Programs. - Yiannis Kanellopoulos; Christos Tjortjis (IWPC, 2004)

Clustering Data Retrieved from Java Source Code to Support Software Maintenance: A Case Study. - Dimitris Rousidis; Christos Tjortjis (CSMR, 2005)

Building a Multi-level Database for Efficient Information Retrieval: A Framework Definition. - Spiridon C. Denaxas; Christos Tjortjis (IASTED Conf. on Software Engineering, 2005)

A Metric of Confidence in Requirements Gathered from Legacy Systems: Two Industrial Case Studies. - James Marchant; Christos Tjortjis; Michael Turega (CSMR, 2006)

Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach. - Maybin K. Muyeba; M. Sulaiman Khan; Zarrar Malik; Christos Tjortjis (IDEAL, 2006)

Mining source code elements for comprehending object-oriented systems and evaluating their maintainability. - Yiannis Kanellopoulos; Thimios Dimopulos; Christos Tjortjis; Christos Makris 001 (SIGKDD Explor., 2006)

k-Attractors: A Clustering Algorithm for Software Measurement Data Analysis. - Yiannis Kanellopoulos; Panagiotis Antonellis; Christos Tjortjis; Christos Makris 001 (ICTAI (1), 2007)

An improved methodology on information distillation by mining program source code. - Yiannis Kanellopoulos; Christos Makris 001; Christos Tjortjis (Data Knowl. Eng., 2007)

Interpretation of Source Code Clusters in Terms of the ISO/IEC-9126 Maintainability Characteristics. - Yiannis Kanellopoulos; Christos Tjortjis; Ilja Heitlager; Joost Visser 001 (CSMR, 2008)

Clustering for Monitoring Software Systems Maintainability Evolution. - Panagiotis Antonellis; Dimitris Antoniou; Yiannis Kanellopoulos; Christos Makris 001; Evangelos Theodoridis; Christos Tjortjis; Nikos Tsirakis (SQM@CSMR, 2008)

Scoring and summarising gene product clusters using the Gene Ontology. - Spiridon C. Denaxas; Christos Tjortjis (Int. J. Data Min. Bioinform., 2008)

Code4Thought Project: Employing the ISO/IEC-9126 Standard for Software Engineering-Product Quality Assessment. - Panagiotis Antonellis; Dimitris Antoniou; Yiannis Kanellopoulos; Christos Makris 001; Christos Tjortjis; Vangelis Theodoridis; Nikos Tsirakis (CSMR, 2009)

3rd International Workshop on Software Quality and Maintainability. - Christos Tjortjis; Joost Visser 001 (CSMR, 2009)

A GO-driven semantic similarity measure for quantifying the biological relatedness of gene products. - Spiridon C. Denaxas; Christos Tjortjis (Intell. Decis. Technol., 2009)

Comparing data mining methods with logistic regression in childhood obesity prediction. - Shaoyan Zhang; Christos Tjortjis; Xiao-Jun Zeng; Hong Qiao; Iain E. Buchan; John A. Keane (Inf. Syst. Frontiers, 2009)

Special issue on the 12th conference on software maintenance and reengineering (CSMR 2008). - Kostas Kontogiannis; Christos Tjortjis; Andreas Winter 001 (J. Softw. Maintenance Res. Pract., 2009)

Agent-Based Digital Networking in Furniture Manufacturing Enterprises. - Anthony Karageorgos; Dimitra Avramouli; Christos Tjortjis; Georgios Ntalos (NDT (2), 2010)

Towards Agent-Based 'Smart' Collaboration in Enterprise Networks. - Anthony Karageorgos; Anthony Avramouli; Georgios Ntalos; Christos Tjortjis; Konstantina Vassilopoulou (WETICE, 2010)

Code Quality Evaluation Methodology Using The ISO/IEC 9126 Standard - Yiannis Kanellopoulos; Panagiotis Antonellis; Dimitris Antoniou; Christos Makris 001; Evangelos Theodoridis; Christos Tjortjis; Nikos Tsirakis (CoRR, 2010)

Welcome from the Industrial Track Chair and the Industrial Forum Chair. - Christos Tjortjis; Christian Zillmann (CSMR, 2011)

K-attractors: a Partitional Clustering Algorithm for Numeric Data Analysis. - Yiannis Kanellopoulos; Panagiotis Antonellis; Christos Tjortjis; Christos Makris 001; Nikos Tsirakis (Appl. Artif. Intell., 2011)

Personalised Fuzzy Recommendation for High Involvement Products. - Vassilis C. Gerogiannis; Anthony Karageorgos; Liwei Liu; Christos Tjortjis (SMC, 2013)

Evaluating data mining algorithms using molecular dynamics trajectories. - Vasileios A. Tatsis; Christos Tjortjis; Panagiotis Tzirakis (Int. J. Data Min. Bioinform., 2013)

Combining Clustering and Classification for Software Quality Evaluation. - Diomidis Papas; Christos Tjortjis (SETN, 2014)

Association Rules Mining by Improving the Imperialism Competitive Algorithm (ARMICA). - Seyed Mohssen Ghafari; Christos Tjortjis (AIAI, 2016)

Clustering Software Metric Values Extracted from C# Code for Maintainability Assessment. - Shumail Arshad; Christos Tjortjis (SETN, 2016)

The 50/50 Recommender: A Method Incorporating Personality into Movie Recommender Systems. - Orestis Nalmpantis; Christos Tjortjis (EANN, 2017)

ARMICA-Improved: A New Approach for Association Rule Mining. - Shahpar Yakhchi; Seyed Mohssen Ghafari; Christos Tjortjis; Mahdi Fazeli (KSEM, 2017)

Short-Term Traffic Prediction under Both Typical and Atypical Traffic Conditions using a Pattern Transition Model. - Traianos-Ioannis Theodorou; Athanasios Salamanis; Dionysios D. Kehagias; Dimitrios Tzovaras; Christos Tjortjis (VEHITS, 2017)

T3C: improving a decision tree classification algorithm's interval splits on continuous attributes. - Panagiotis Tzirakis; Christos Tjortjis (Adv. Data Anal. Classif., 2017)

A Method for Predicting the Winner of the USA Presidential Elections using Data extracted from Twitter. - Lazaros Oikonomou; Christos Tjortjis (SEEDA-CECNSM, 2018)

AI in Greece: The Case of Research on Linked Geospa al Data. - Manolis Koubarakis; George A. Vouros; Georgios Chalkiadakis; Vassilis P. Plagianakos; Christos Tjortjis; Ergina Kavallieratou; Dimitris Vrakas; Nikolaos Mavridis; Georgios Petasis; Konstantinos Blekas; Anastasia Krithara (AI Mag., 2018)

MuSIF: A Product Recommendation System Based on Multi-source Implicit Feedback. - Iotaomicronannis Schoinas; Christos Tjortjis (AIAI, 2019)

Sports Analytics algorithms for performance prediction. - Konstantinos Apostolou; Christos Tjortjis (IISA, 2019)

Data Mining for Smart Cities: Predicting Electricity Consumption by Classification. - Konstantinos Christantonis; Christos Tjortjis (IISA, 2019)

A Hybrid Method for Sentiment Analysis of Election Related Tweets. - Dimosthenis Beleveslis; Christos Tjortjis; Dimitris Psaradelis; Dimitris Nikoglou (SEEDA-CECNSM, 2019)

Mining Traffic Accident Data for Hazard Causality Analysis. - Dimitrios Tasios; Christos Tjortjis; Andreas Gregoriades (SEEDA-CECNSM, 2019)

A survey on association rules mining using heuristics. - Seyed Mohssen Ghafari; Christos Tjortjis (WIREs Data Mining Knowl. Discov., 2019)

Promoting Diversity in Content Based Recommendation Using Feature Weighting and LSH. - Dimosthenis Beleveslis; Christos Tjortjis (AIAI (1), 2020)

Using Classification for Traffic Prediction in Smart Cities. - Konstantinos Christantonis; Christos Tjortjis; Anastassios Manos; Despina Elizabeth Filippidou; Eleni Mougiakou; Evangelos Christelis (AIAI (1), 2020)

Using Twitter to Predict Chart Position for Songs. - Eleana Tsiara; Christos Tjortjis (AIAI (1), 2020)

Big Data Mining for Smart Cities: Predicting Traffic Congestion using Classification. - Aristeidis Mystakidis; Christos Tjortjis (IISA, 2020)

Sports Analytics for Football League Table and Player Performance Prediction. - Victor Chazan Pantzalis; Christos Tjortjis (IISA, 2020)

An Introduction to Information Network Modeling Capabilities, Utilizing Graphs. - Paraskevas Koukaras; Dimitrios Rousidis; Christos Tjortjis (MTSR, 2020)

Examination of NoSQL Transition and Data Mining Capabilities. - Dimitrios Rousidis; Paraskevas Koukaras; Christos Tjortjis (MTSR, 2020)

Social Media Types: introducing a data driven taxonomy. - Paraskevas Koukaras; Christos Tjortjis; Dimitrios Rousidis (Computing, 2020)

Sports analytics - Evaluation of basketball players and team performance. - Vangelis Sarlis; Christos Tjortjis (Inf. Syst., 2020)

Social media prediction: a literature review. - Dimitrios Rousidis; Paraskevas Koukaras; Christos Tjortjis (Multim. Tools Appl., 2020)

Mining Association Rules from Code (MARC) to support legacy software management. - Christos Tjortjis (Softw. Qual. J., 2020)

Forecasting and Prevention Mechanisms Using Social Media in Health Care. - Paraskevas Koukaras; Dimitrios Rousidis; Christos Tjortjis (Advanced Computational Intelligence in Healthcare (7), 2020)

Predicting CO2 Emissions for Buildings Using Regression and Classification. - Alexia Avramidou; Christos Tjortjis (AIAI, 2021)

An Approach Utilizing Linguistic Features for Fake News Detection. - Dimitrios Panagiotis Kasseropoulos; Christos Tjortjis (AIAI, 2021)

A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data. - Christina Nousi; Christos Tjortjis (SEEDA-CECNSM, 2021)

Predicting Stock Market Movements with Social Media and Machine Learning. - Paraskevas Koukaras; Vasiliki Tsichli; Christos Tjortjis (WEBIST, 2021)

Data Mining Algorithms for Smart Cities: A Bibliometric Analysis. - Anestis Kousis; Christos Tjortjis (Algorithms, 2021)

A methodology using classification for traffic prediction: Featuring the impact of COVID-19. - Stergios Liapis; Konstantinos Christantonis; Victor Chazan Pantzalis; Anastassios Manos; Despina Elizabeth Filippidou; Christos Tjortjis (Integr. Comput. Aided Eng., 2021)

Introducing a novel bi-functional method for exploiting sentiment in complex information networks. - Paraskevas Koukaras; Dimitrios Rousidis; Christos Tjortjis (Int. J. Metadata Semant. Ontologies, 2021)

A Data Science approach analysing the Impact of Injuries on Basketball Player and Team Performance. - Vangelis Sarlis; Vasilis Chatziilias; Christos Tjortjis; Dimitris Mandalidis (Inf. Syst., 2021)

Introducing a novel approach in one-step ahead energy load forecasting. - Paraskevas Koukaras; Napoleon A. Bezas; Paschalis Gkaidatzis; Dimosthenis Ioannidis; Dimitrios Tzovaras; Christos Tjortjis (Sustain. Comput. Informatics Syst., 2021)

Smart Healthcare Support Using Data Mining and Machine Learning. - Theodora Chatzinikolaou; Eleni Vogiatzi; Anestis Kousis; Christos Tjortjis (IoT and WSN based Smart Cities, 2022)

Social Media Sentiment Analysis Related to COVID-19 Vaccines: Case Studies in English and Greek Language. - Evridiki Kapoteli; Paraskevas Koukaras; Christos Tjortjis (AIAI (2), 2022)

Sentiment Analysis on COVID-19 Twitter Data: A Sentiment Timeline. - Makrina Karagkiozidou; Paraskevas Koukaras; Christos Tjortjis (AIAI (2), 2022)

Proactive Buildings: A Prescriptive Maintenance Approach. - Paraskevas Koukaras; Asimina Dimara; Sergio Herrera; Niccolò Zangrando; Stelios Krinidis; Dimosthenis Ioannidis; Piero Fraternali; Christos Tjortjis; Christos-Nikolaos Anagnostopoulos; Dimitrios Tzovaras (AIAI (Workshops), 2022)

Anomaly Detection in Small-Scale Industrial and Household Appliances. - Niccolò Zangrando; Sergio Herrera; Paraskevas Koukaras; Asimina Dimara; Piero Fraternali; Stelios Krinidis; Dimosthenis Ioannidis; Christos Tjortjis; Christos-Nikolaos Anagnostopoulos; Dimitrios Tzovaras (AIAI (Workshops), 2022)

An interdisciplinary approach on efficient virtual microgrid to virtual microgrid energy balancing incorporating data preprocessing techniques. - Paraskevas Koukaras; Christos Tjortjis; Paschalis Gkaidatzis; Napoleon A. Bezas; Dimosthenis Ioannidis; Dimitrios Tzovaras (Computing, 2022)

Exploiting Textual Information for Fake News Detection. - Dimitrios Panagiotis Kasseropoulos; Paraskevas Koukaras; Christos Tjortjis (Int. J. Neural Syst., 2022)

Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences. - Paraskevas Koukaras; Christos Tjortjis; Dimitrios Rousidis (Inf. Syst., 2022)

Fake News Detection Utilizing Textual Cues. - Vasiliki Chouliara; Paraskevas Koukaras; Christos Tjortjis (AIAI (1), 2023)

Forecasting Goal Performance for Top League Football Players: A Comparative Study. - Nikolaos Giannakoulas; George Papageorgiou; Christos Tjortjis (AIAI (2), 2023)

YouTube Sentiment Analysis on Healthcare Product Campaigns: Combining Lexicons and Machine Learning Models. - Panagiota Anastasiou; Katerina Tzafilkou; Dimitrios Karapiperis; Christos Tjortjis (IISA, 2023)

Sentiment Analysis on English and Greek Twitter Data Regarding Vaccinations. - Chrysoula Dontaki; Paraskevas Koukaras; Christos Tjortjis (IISA, 2023)

Data Mining for Smart Cities: Traffic Congestion Prediction. - Aristeidis Mystakidis; Olga Geromichalou; Christos Tjortjis (IISA, 2023)

A Machine Learning Approach for Effective Software Defect Detection. - Maria Vasileiou; George Papageorgiou; Christos Tjortjis (IISA, 2023)

A Behavioural Compact Model for Programmable Neuromorphic ReRAM. - Mohamad Moner Al Chawa; Ronald Tetzlaff; Christos Tjortjis; Stavros G. Stavrinides; Carol de Benito; Rodrigo Picos (NANOARCH, 2023)

Exploiting Optical Nonlinear Temporal Coupling for Implementing Physical Unclonable Functions. - Stavros G. Stavrinides; Lydia Bush-Espinosa; Carol de Benito; Nikolaos Athanasios Anagnostopoulos; Tolga Arul; Stefan Katzenbeisser 001; Christos Tjortjis; Mohamad Moner Al Chawa; Rodrigo Picos (WF-IoT, 2023)

SmartBuild RecSys: A Recommendation System Based on the Smart Readiness Indicator for Energy Efficiency in Buildings. - Muhammad Talha Siddique; Paraskevas Koukaras; Dimosthenis Ioannidis; Christos Tjortjis (Algorithms, 2023)

Unraveling Microblog Sentiment Dynamics: A Twitter Public Attitudes Analysis towards COVID-19 Cases and Deaths. - Paraskevas Koukaras; Dimitrios Rousidis; Christos Tjortjis (Informatics, 2023)

A Randomized Blocking Structure for Streaming Record Linkage. - Dimitrios Karapiperis; Christos Tjortjis; Vassilios S. Verykios (Proc. VLDB Endow., 2023)

Sports Analytics and Text Mining NBA Data to Assess Recovery from Injuries and Their Economic Impact. - Vangelis Sarlis; George Papageorgiou; Christos Tjortjis (Comput., 2023)

A Tri-Model Prediction Approach for COVID-19 ICU Bed Occupancy: A Case Study. - Nikolaos Stasinos; Anestis Kousis; Vangelis Sarlis; Aristeidis Mystakidis; Dimitris Rousidis; Paraskevas Koukaras; Ioannis Kotsiopoulos; Christos Tjortjis (Algorithms, 2023)

Energy generation forecasting: elevating performance with machine and deep learning. - Aristeidis Mystakidis; Evangelia Ntozi; Konstantinos Afentoulis; Paraskevas Koukaras; Paschalis Gkaidatzis; Dimosthenis Ioannidis; Christos Tjortjis; Dimitrios Tzovaras (Computing, 2023)

Integration of Security in the DevOps Methodology. - Emmanouil Sermpezis; Dimitrios Karapiperis; Christos Tjortjis (IISA, 2024)

Investigating the Key Aspects of a Smart City through Topic Modeling and Thematic Analysis. - Anestis Kousis; Christos Tjortjis (Future Internet, 2024)

Unsupervised Learning in NBA Injury Recovery: Advanced Data Mining to Decode Recovery Durations and Economic Impacts. - George Papageorgiou; Vangelis Sarlis; Christos Tjortjis (Inf., 2024)

Energy load forecasting: one-step ahead hybrid model utilizing ensembling. - Nikos Tsalikidis; Aristeidis Mystakidis; Christos Tjortjis; Paraskevas Koukaras; Dimosthenis Ioannidis (Computing, 2024)

Injury Patterns and Impact on Performance in the NBA League Using Sports Analytics. - Vangelis Sarlis; George Papageorgiou; Christos Tjortjis (Comput., 2024)

Sports Analytics: Data Mining to Uncover NBA Player Position, Age, and Injury Impact on Performance and Economics. - Vangelis Sarlis; Christos Tjortjis (Inf., 2024)

Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification. - Konstantina-Vasiliki Tompra; George Papageorgiou; Christos Tjortjis (Algorithms, 2024)

Leveraging Sports Analytics and Association Rule Mining to Uncover Recovery and Economic Impacts in NBA Basketball. - Vangelis Sarlis; George Papageorgiou; Christos Tjortjis (Data, 2024)

Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study. - George Papageorgiou; Vangelis Sarlis; Christos Tjortjis (Knowl. Inf. Syst., 2024)

A Suite of Efficient Randomized Algorithms for Streaming Record Linkage. - Dimitrios Karapiperis; Christos Tjortjis; Vassilios S. Verykios (IEEE Trans. Knowl. Data Eng., 2024)

Diverse Machine Learning for Forecasting Goal-Scoring Likelihood in Elite Football Leagues. - Christina Markopoulou; George Papageorgiou; Christos Tjortjis (Mach. Learn. Knowl. Extr., 2024)

A Data Science and Sports Analytics Approach to Decode Clutch Dynamics in the Last Minutes of NBA Games. - Vangelis Sarlis; Dimitrios Gerakas; Christos Tjortjis (Mach. Learn. Knowl. Extr., 2024)

MOMENT: A Multi-Objective Mitigation Engine using NSGA-II Techniques for Cyber Threat Response. - Konstantina Milousi; Nikolaos Vakakis; Aristeidis Mystakidis; Mariana S. Mazi; Antonis Voulgaridis; Christos Tjortjis; Konstantinos Votis; Dimitrios Tzovaras (CSR, 2025)

Adaptive sliding window normalization. - George Papageorgiou; Christos Tjortjis (Inf. Syst., 2025)

An innovative method for accurate NBA player performance forecasting and line-up optimization in daily fantasy sports. - George Papageorgiou; Vangelis Sarlis; Christos Tjortjis (Int. J. Data Sci. Anal., 2025)

Traffic congestion prediction and missing data: a classification approach using weather information. - Aristeidis Mystakidis; Christos Tjortjis (Int. J. Data Sci. Anal., 2025)