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2020 – today
- 2024
[j40]Konstantina-Vasiliki Tompra, George Papageorgiou
, Christos Tjortjis:
Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification. Algorithms 17(5): 178 (2024)- [j39]Vangelis Sarlis, George Papageorgiou, Christos Tjortjis:
Injury Patterns and Impact on Performance in the NBA League Using Sports Analytics. Comput. 12(2): 36 (2024) - [j38]Nikos Tsalikidis, Aristeidis Mystakidis, Christos Tjortjis, Paraskevas Koukaras, Dimosthenis Ioannidis:
Energy load forecasting: one-step ahead hybrid model utilizing ensembling. Computing 106(1): 241-273 (2024) - [j37]Vangelis Sarlis, George Papageorgiou, Christos Tjortjis:
Leveraging Sports Analytics and Association Rule Mining to Uncover Recovery and Economic Impacts in NBA Basketball. Data 9(7): 83 (2024) - [j36]Anestis Kousis, Christos Tjortjis:
Investigating the Key Aspects of a Smart City through Topic Modeling and Thematic Analysis. Future Internet 16(1): 3 (2024) - [j35]George Papageorgiou, Vangelis Sarlis, Christos Tjortjis:
Unsupervised Learning in NBA Injury Recovery: Advanced Data Mining to Decode Recovery Durations and Economic Impacts. Inf. 15(1): 61 (2024) - [j34]Vangelis Sarlis, Christos Tjortjis:
Sports Analytics: Data Mining to Uncover NBA Player Position, Age, and Injury Impact on Performance and Economics. Inf. 15(4): 242 (2024) - [j33]George Papageorgiou, Vangelis Sarlis, Christos Tjortjis:
Evaluating the effectiveness of machine learning models for performance forecasting in basketball: a comparative study. Knowl. Inf. Syst. 66(7): 4333-4375 (2024) - [j32]Christina Markopoulou, George Papageorgiou, Christos Tjortjis:
Diverse Machine Learning for Forecasting Goal-Scoring Likelihood in Elite Football Leagues. Mach. Learn. Knowl. Extr. 6(3): 1762-1781 (2024) - [j31]Vangelis Sarlis, Dimitrios Gerakas, Christos Tjortjis:
A Data Science and Sports Analytics Approach to Decode Clutch Dynamics in the Last Minutes of NBA Games. Mach. Learn. Knowl. Extr. 6(3): 2074-2095 (2024) - [j30]Dimitrios Karapiperis, Christos Tjortjis, Vassilios S. Verykios:
A Suite of Efficient Randomized Algorithms for Streaming Record Linkage. IEEE Trans. Knowl. Data Eng. 36(7): 2803-2813 (2024) - 2023
- [j29]Nikolaos Stasinos, Anestis Kousis, Vangelis Sarlis, Aristeidis Mystakidis, Dimitris Rousidis, Paraskevas Koukaras, Ioannis Kotsiopoulos, Christos Tjortjis:
A Tri-Model Prediction Approach for COVID-19 ICU Bed Occupancy: A Case Study. Algorithms 16(3): 140 (2023) - [j28]Muhammad Talha Siddique, Paraskevas Koukaras, Dimosthenis Ioannidis, Christos Tjortjis:
SmartBuild RecSys: A Recommendation System Based on the Smart Readiness Indicator for Energy Efficiency in Buildings. Algorithms 16(10): 482 (2023) - [j27]Vangelis Sarlis, George Papageorgiou, Christos Tjortjis:
Sports Analytics and Text Mining NBA Data to Assess Recovery from Injuries and Their Economic Impact. Comput. 12(1): 261 (2023) - [j26]Aristeidis Mystakidis, Evangelia Ntozi, Konstantinos Afentoulis, Paraskevas Koukaras, Paschalis Gkaidatzis, Dimosthenis Ioannidis, Christos Tjortjis, Dimitrios Tzovaras:
Energy generation forecasting: elevating performance with machine and deep learning. Computing 105(8): 1623-1645 (2023) - [j25]Paraskevas Koukaras, Dimitrios Rousidis, Christos Tjortjis:
Unraveling Microblog Sentiment Dynamics: A Twitter Public Attitudes Analysis towards COVID-19 Cases and Deaths. Informatics 10(4): 88 (2023) - [j24]Dimitrios Karapiperis, Christos Tjortjis, Vassilios S. Verykios:
A Randomized Blocking Structure for Streaming Record Linkage. Proc. VLDB Endow. 16(11): 2783-2791 (2023) - [c56]Nikolaos Giannakoulas, George Papageorgiou, Christos Tjortjis:
Forecasting Goal Performance for Top League Football Players: A Comparative Study. AIAI (2) 2023: 304-315 - [c55]Vasiliki Chouliara, Paraskevas Koukaras, Christos Tjortjis:
Fake News Detection Utilizing Textual Cues. AIAI (1) 2023: 393-403 - [c54]Panagiota Anastasiou, Katerina Tzafilkou, Dimitrios Karapiperis, Christos Tjortjis:
YouTube Sentiment Analysis on Healthcare Product Campaigns: Combining Lexicons and Machine Learning Models. IISA 2023: 1-8 - [c53]Chrysoula Dontaki, Paraskevas Koukaras, Christos Tjortjis:
Sentiment Analysis on English and Greek Twitter Data Regarding Vaccinations. IISA 2023: 1-8 - [c52]Aristeidis Mystakidis, Olga Geromichalou, Christos Tjortjis:
Data Mining for Smart Cities: Traffic Congestion Prediction. IISA 2023: 1-8 - [c51]Maria Vasileiou, George Papageorgiou, Christos Tjortjis:
A Machine Learning Approach for Effective Software Defect Detection. IISA 2023: 1-8 - [c50]Mohamad Moner Al Chawa, Ronald Tetzlaff, Christos Tjortjis, Stavros G. Stavrinides, Carol de Benito, Rodrigo Picos:
A Behavioural Compact Model for Programmable Neuromorphic ReRAM. NANOARCH 2023: 2:1-2:3 - [c49]Stavros G. Stavrinides, Lydia Bush-Espinosa, Carol de Benito, Nikolaos Athanasios Anagnostopoulos, Tolga Arul, Stefan Katzenbeisser, Christos Tjortjis, Mohamad Moner Al Chawa, Rodrigo Picos:
Exploiting Optical Nonlinear Temporal Coupling for Implementing Physical Unclonable Functions. WF-IoT 2023: 1-5 - 2022
- [j23]Paraskevas Koukaras, Christos Tjortjis, Paschalis Gkaidatzis, Napoleon A. Bezas, Dimosthenis Ioannidis, Dimitrios Tzovaras:
An interdisciplinary approach on efficient virtual microgrid to virtual microgrid energy balancing incorporating data preprocessing techniques. Computing 104(1): 209-250 (2022) - [j22]Dimitrios Panagiotis Kasseropoulos, Paraskevas Koukaras, Christos Tjortjis:
Exploiting Textual Information for Fake News Detection. Int. J. Neural Syst. 32(12): 2250058:1-2250058:18 (2022) - [j21]Paraskevas Koukaras, Christos Tjortjis, Dimitrios Rousidis:
Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences. Inf. Syst. 109: 102054 (2022) - [c48]Niccolò Zangrando, Sergio Herrera, Paraskevas Koukaras, Asimina Dimara, Piero Fraternali, Stelios Krinidis, Dimosthenis Ioannidis, Christos Tjortjis, Christos-Nikolaos Anagnostopoulos, Dimitrios Tzovaras:
Anomaly Detection in Small-Scale Industrial and Household Appliances. AIAI Workshops 2022: 229-240 - [c47]Paraskevas Koukaras, Asimina Dimara, Sergio Herrera, Niccolò Zangrando, Stelios Krinidis, Dimosthenis Ioannidis, Piero Fraternali, Christos Tjortjis, Christos-Nikolaos Anagnostopoulos, Dimitrios Tzovaras:
Proactive Buildings: A Prescriptive Maintenance Approach. AIAI Workshops 2022: 289-300 - [c46]Makrina Karagkiozidou, Paraskevas Koukaras, Christos Tjortjis:
Sentiment Analysis on COVID-19 Twitter Data: A Sentiment Timeline. AIAI (2) 2022: 350-359 - [c45]Evridiki Kapoteli, Paraskevas Koukaras, Christos Tjortjis:
Social Media Sentiment Analysis Related to COVID-19 Vaccines: Case Studies in English and Greek Language. AIAI (2) 2022: 360-372 - [p2]Theodora Chatzinikolaou, Eleni Vogiatzi, Anestis Kousis, Christos Tjortjis:
Smart Healthcare Support Using Data Mining and Machine Learning. IoT and WSN based Smart Cities 2022: 27-48 - 2021
- [j20]Anestis Kousis, Christos Tjortjis:
Data Mining Algorithms for Smart Cities: A Bibliometric Analysis. Algorithms 14(8): 242 (2021) - [j19]Stergios Liapis, Konstantinos Christantonis, Victor Chazan Pantzalis, Anastassios Manos, Despina Elizabeth Filippidou, Christos Tjortjis:
A methodology using classification for traffic prediction: Featuring the impact of COVID-19. Integr. Comput. Aided Eng. 28(4): 417-435 (2021) - [j18]Paraskevas Koukaras, Dimitrios Rousidis, Christos Tjortjis:
Introducing a novel bi-functional method for exploiting sentiment in complex information networks. Int. J. Metadata Semant. Ontologies 15(3): 157-169 (2021) - [j17]Vangelis Sarlis, Vasilis Chatziilias, Christos Tjortjis, Dimitris Mandalidis:
A Data Science approach analysing the Impact of Injuries on Basketball Player and Team Performance. Inf. Syst. 99: 101750 (2021) - [j16]Paraskevas Koukaras, Napoleon A. Bezas, Paschalis Gkaidatzis, Dimosthenis Ioannidis, Dimitrios Tzovaras, Christos Tjortjis:
Introducing a novel approach in one-step ahead energy load forecasting. Sustain. Comput. Informatics Syst. 32: 100616 (2021) - [c44]Alexia Avramidou, Christos Tjortjis:
Predicting CO2 Emissions for Buildings Using Regression and Classification. AIAI 2021: 543-554 - [c43]Dimitrios Panagiotis Kasseropoulos, Christos Tjortjis:
An Approach Utilizing Linguistic Features for Fake News Detection. AIAI 2021: 646-658 - [c42]Christina Nousi, Christos Tjortjis:
A Methodology for Stock Movement Prediction Using Sentiment Analysis on Twitter and StockTwits Data. SEEDA-CECNSM 2021: 1-7 - [c41]Paraskevas Koukaras, Vasiliki Tsichli, Christos Tjortjis:
Predicting Stock Market Movements with Social Media and Machine Learning. WEBIST 2021: 436-443 - 2020
- [j15]Paraskevas Koukaras, Christos Tjortjis, Dimitrios Rousidis:
Social Media Types: introducing a data driven taxonomy. Computing 102(1): 295-340 (2020) - [j14]Vangelis Sarlis, Christos Tjortjis:
Sports analytics - Evaluation of basketball players and team performance. Inf. Syst. 93: 101562 (2020) - [j13]Dimitrios Rousidis, Paraskevas Koukaras, Christos Tjortjis:
Social media prediction: a literature review. Multim. Tools Appl. 79(9-10): 6279-6311 (2020) - [j12]Christos Tjortjis:
Mining Association Rules from Code (MARC) to support legacy software management. Softw. Qual. J. 28(2): 633-662 (2020) - [c40]Konstantinos Christantonis, Christos Tjortjis, Anastassios Manos, Despina Elizabeth Filippidou, Eleni Mougiakou, Evangelos Christelis:
Using Classification for Traffic Prediction in Smart Cities. AIAI (1) 2020: 52-61 - [c39]Eleana Tsiara, Christos Tjortjis:
Using Twitter to Predict Chart Position for Songs. AIAI (1) 2020: 62-72 - [c38]Dimosthenis Beleveslis, Christos Tjortjis:
Promoting Diversity in Content Based Recommendation Using Feature Weighting and LSH. AIAI (1) 2020: 452-461 - [c37]Aristeidis Mystakidis, Christos Tjortjis:
Big Data Mining for Smart Cities: Predicting Traffic Congestion using Classification. IISA 2020: 1-8 - [c36]Victor Chazan Pantzalis, Christos Tjortjis:
Sports Analytics for Football League Table and Player Performance Prediction. IISA 2020: 1-8 - [c35]Dimitrios Rousidis, Paraskevas Koukaras, Christos Tjortjis:
Examination of NoSQL Transition and Data Mining Capabilities. MTSR 2020: 110-115 - [c34]Paraskevas Koukaras, Dimitrios Rousidis, Christos Tjortjis:
An Introduction to Information Network Modeling Capabilities, Utilizing Graphs. MTSR 2020: 134-140 - [p1]Paraskevas Koukaras, Dimitrios Rousidis, Christos Tjortjis:
Forecasting and Prevention Mechanisms Using Social Media in Health Care. Advanced Computational Intelligence in Healthcare (7) 2020: 121-137
2010 – 2019
- 2019
- [j11]Seyed Mohssen Ghafari, Christos Tjortjis:
A survey on association rules mining using heuristics. WIREs Data Mining Knowl. Discov. 9(4) (2019) - [c33]Iotaomicronannis Schoinas, Christos Tjortjis:
MuSIF: A Product Recommendation System Based on Multi-source Implicit Feedback. AIAI 2019: 660-672 - [c32]Konstantinos Apostolou, Christos Tjortjis:
Sports Analytics algorithms for performance prediction. IISA 2019: 1-4 - [c31]Konstantinos Christantonis, Christos Tjortjis:
Data Mining for Smart Cities: Predicting Electricity Consumption by Classification. IISA 2019: 1-7 - [c30]Dimosthenis Beleveslis, Christos Tjortjis, Dimitris Psaradelis, Dimitris Nikoglou:
A Hybrid Method for Sentiment Analysis of Election Related Tweets. SEEDA-CECNSM 2019: 1-6 - [c29]Dimitrios Tasios, Christos Tjortjis, Andreas Gregoriades:
Mining Traffic Accident Data for Hazard Causality Analysis. SEEDA-CECNSM 2019: 1-6 - 2018
- [j10]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 in Greece: The Case of Research on Linked Geospa al Data. AI Mag. 39(2): 91-96 (2018) - [c28]Lazaros Oikonomou, Christos Tjortjis:
A Method for Predicting the Winner of the USA Presidential Elections using Data extracted from Twitter. SEEDA-CECNSM 2018: 1-8 - 2017
- [j9]Panagiotis Tzirakis, Christos Tjortjis:
T3C: improving a decision tree classification algorithm's interval splits on continuous attributes. Adv. Data Anal. Classif. 11(2): 353-370 (2017) - [c27]Orestis Nalmpantis, Christos Tjortjis:
The 50/50 Recommender: A Method Incorporating Personality into Movie Recommender Systems. EANN 2017: 498-507 - [c26]Shahpar Yakhchi, Seyed Mohssen Ghafari, Christos Tjortjis, Mahdi Fazeli:
ARMICA-Improved: A New Approach for Association Rule Mining. KSEM 2017: 296-306 - [c25]Traianos-Ioannis Theodorou, Athanasios Salamanis, Dionysios D. Kehagias, Dimitrios Tzovaras, Christos Tjortjis:
Short-Term Traffic Prediction under Both Typical and Atypical Traffic Conditions using a Pattern Transition Model. VEHITS 2017: 79-89 - 2016
- [c24]Seyed Mohssen Ghafari, Christos Tjortjis:
Association Rules Mining by Improving the Imperialism Competitive Algorithm (ARMICA). AIAI 2016: 242-254 - [c23]Shumail Arshad, Christos Tjortjis:
Clustering Software Metric Values Extracted from C# Code for Maintainability Assessment. SETN 2016: 24:1-24:4 - 2014
- [c22]Diomidis Papas, Christos Tjortjis:
Combining Clustering and Classification for Software Quality Evaluation. SETN 2014: 273-286 - 2013
- [j8]Vasileios A. Tatsis, Christos Tjortjis, Panagiotis Tzirakis:
Evaluating data mining algorithms using molecular dynamics trajectories. Int. J. Data Min. Bioinform. 8(2): 169-187 (2013) - [c21]Vassilis C. Gerogiannis, Anthony Karageorgos, Liwei Liu, Christos Tjortjis:
Personalised Fuzzy Recommendation for High Involvement Products. SMC 2013: 4884-4890 - 2011
- [j7]Yiannis Kanellopoulos, Panagiotis Antonellis, Christos Tjortjis, Christos Makris, Nikos Tsirakis:
K-attractors: a Partitional Clustering Algorithm for Numeric Data Analysis. Appl. Artif. Intell. 25(2): 97-115 (2011) - [c20]Christos Tjortjis, Christian Zillmann:
Welcome from the Industrial Track Chair and the Industrial Forum Chair. CSMR 2011: 303-304 - 2010
- [c19]Anthony Karageorgos, Dimitra Avramouli, Christos Tjortjis, Georgios Ntalos:
Agent-Based Digital Networking in Furniture Manufacturing Enterprises. NDT (2) 2010: 381-395 - [c18]Anthony Karageorgos, Anthony Avramouli, Georgios Ntalos, Christos Tjortjis, Konstantina Vassilopoulou:
Towards Agent-Based 'Smart' Collaboration in Enterprise Networks. WETICE 2010: 35-40 - [i1]Yiannis Kanellopoulos, Panagiotis Antonellis, Dimitris Antoniou, Christos Makris, Evangelos Theodoridis, Christos Tjortjis, Nikos Tsirakis:
Code Quality Evaluation Methodology Using The ISO/IEC 9126 Standard. CoRR abs/1007.5117 (2010)
2000 – 2009
- 2009
- [j6]Spiridon C. Denaxas, Christos Tjortjis:
A GO-driven semantic similarity measure for quantifying the biological relatedness of gene products. Intell. Decis. Technol. 3(4): 239-248 (2009) - [j5]Shaoyan Zhang, Christos Tjortjis, Xiao-Jun Zeng, Hong Qiao, Iain E. Buchan, John A. Keane:
Comparing data mining methods with logistic regression in childhood obesity prediction. Inf. Syst. Frontiers 11(4): 449-460 (2009) - [j4]Kostas Kontogiannis, Christos Tjortjis, Andreas Winter:
Special issue on the 12th conference on software maintenance and reengineering (CSMR 2008). J. Softw. Maintenance Res. Pract. 21(2): 79-80 (2009) - [c17]Christos Tjortjis, Joost Visser:
3rd International Workshop on Software Quality and Maintainability. CSMR 2009: 271-272 - [c16]Panagiotis Antonellis, Dimitris Antoniou, Yiannis Kanellopoulos, Christos Makris, Christos Tjortjis, Vangelis Theodoridis, Nikos Tsirakis:
Code4Thought Project: Employing the ISO/IEC-9126 Standard for Software Engineering-Product Quality Assessment. CSMR 2009: 297-300 - 2008
- [j3]Spiridon C. Denaxas, Christos Tjortjis:
Scoring and summarising gene product clusters using the Gene Ontology. Int. J. Data Min. Bioinform. 2(3): 216-235 (2008) - [c15]Yiannis Kanellopoulos, Christos Tjortjis, Ilja Heitlager, Joost Visser:
Interpretation of Source Code Clusters in Terms of the ISO/IEC-9126 Maintainability Characteristics. CSMR 2008: 63-72 - [c14]Panagiotis Antonellis, Dimitris Antoniou, Yiannis Kanellopoulos, Christos Makris, Evangelos Theodoridis, Christos Tjortjis, Nikos Tsirakis:
Clustering for Monitoring Software Systems Maintainability Evolution. SQM@CSMR 2008: 43-57 - 2007
- [j2]Yiannis Kanellopoulos, Christos Makris, Christos Tjortjis:
An improved methodology on information distillation by mining program source code. Data Knowl. Eng. 61(2): 359-383 (2007) - [c13]Yiannis Kanellopoulos, Panagiotis Antonellis, Christos Tjortjis, Christos Makris:
k-Attractors: A Clustering Algorithm for Software Measurement Data Analysis. ICTAI (1) 2007: 358-365 - 2006
- [j1]Yiannis Kanellopoulos, Thimios Dimopulos, Christos Tjortjis, Christos Makris:
Mining source code elements for comprehending object-oriented systems and evaluating their maintainability. SIGKDD Explor. 8(1): 33-40 (2006) - [c12]James Marchant, Christos Tjortjis, Michael Turega:
A Metric of Confidence in Requirements Gathered from Legacy Systems: Two Industrial Case Studies. CSMR 2006: 355-361 - [c11]Maybin K. Muyeba, M. Sulaiman Khan, Zarrar Malik, Christos Tjortjis:
Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach. IDEAL 2006: 1014-1022 - 2005
- [c10]Dimitris Rousidis, Christos Tjortjis:
Clustering Data Retrieved from Java Source Code to Support Software Maintenance: A Case Study. CSMR 2005: 276-279 - [c9]Spiridon C. Denaxas, Christos Tjortjis:
Building a Multi-level Database for Efficient Information Retrieval: A Framework Definition. IASTED Conf. on Software Engineering 2005: 282-286 - 2004
- [c8]Chuan Wang, Christos Tjortjis:
PRICES: An Efficient Algorithm for Mining Association Rules. IDEAL 2004: 352-358 - [c7]Yiannis Kanellopoulos, Christos Tjortjis:
Data Mining Source Code to Facilitate Program Comprehension: Experiments on Clustering Data Retrieved from C++ Programs. IWPC 2004: 214-225 - 2003
- [c6]Liang Dong, Christos Tjortjis:
Experiences of Using a Quantitative Approach for Mining Association Rules. IDEAL 2003: 693-700 - [c5]Christos Tjortjis, Loukas Sinos, Paul J. Layzell:
Facilitating Program Comprehension by Mining Association Rules from Source Code. IWPC 2003: 125-133 - 2002
- [c4]Christos Tjortjis, Nicolas Gold, Paul J. Layzell, Keith H. Bennett:
From System Comprehension to Program Comprehension. COMPSAC 2002: 427-434 - [c3]Christos Tjortjis, Georgios A. Dafoulas, Paul J. Layzell, Linda A. Macaulay:
A Model for Selecting CSCW Technologies for Distributed Software Maintenance Teams in Virtual Organisations. COMPSAC 2002: 1104-1108 - [c2]Christos Tjortjis, John A. Keane:
T3: A Classification Algorithm for Data Mining. IDEAL 2002: 50-55 - 2001
- [c1]Christos Tjortjis, Paul J. Layzell:
Expert Maintainers' Strategies and Needs when Understanding Software: A Case Study Approach. APSEC 2001: 281-
Coauthor Index
Dimitris Rousidis
aka: Dimitrios Rousidis
aka: Dimitrios Rousidis
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