Research

Our Research Focus

At the Information Systems and Artificial Intelligence Laboratory, our research bridges the gap between theory and practice in cutting-edge technologies. We focus on interdisciplinary research in Artificial Intelligence (AI), machine learning, cloud computing, data management and data-driven solutions to address complex real-world challenges.

Our mission is to extract knowledge from large-scale data, design efficient decentralized systems, and advance statistical analysis and machine learning models for predictive and decision-making purposes. By combining innovation with practical applications, we aim to create solutions that impact fields such as bioinformatics, computational geometry, network analysis, and agent-based systems.

Through collaboration, experimentation, and a commitment to excellence, the Information Systems and Artificial Intelligence Laboratory is dedicated to pushing the boundaries of knowledge and driving advancements that benefit society, industry, and education.

Publications

Iliopoulos K., Makris C., Panagis I., Perdikuri K., Theodoridis E., & Tsakalidis A. (2004). Efficient Algorithms for Handling Weighted Molecular Sequences. IFIP TCS, 273–287.

Avramouli, D., Garofalakis G., Kavvadias D., Makris C., Panagis Y., & Sakkopulos E. (2005). Popular Web Hot Spots Identification and Visualization. Proceedings of the 14th International World Wide Web Conference, Poster Demo.

Kouris, I. N., Makris C., & Tsakalidis A. (November 13-15). On Line Generation of Association Rules Using Inverted File Indexing and Compression. Proceedings of the IADIS Int. WWW/Internet 2002 Conference, 29–37.

Kouris, I. N., Makris C., & Tsakalidis A. (2003). An Improved Algorithm for Mining Association Rules Using Multiple Support Values. Proceedings of the 16th International FLAIRS Conference, 309–314.

Iliopoulos K., Makris C., Panagis I., Perdikuri K., Theodoridis E., & Tsakalidis A. (2003). Computing the Repetitions in a Weighted Sequence using Weighted Suffix Trees. European Conference on Computational Biology.

Bozanis P., Kitsios N., Makris C., & Tsakalidis A. (1996). Red-Blue Intersection Reporting for Objects of Non-constant Size. The Computer Journal, 39(6), 541–546.

Bozanis P., Makris C., & Tsakalidis A. (1995). Parametric Weighted Filter: An Efficient Dynamic Manipulation of Signature Files. The Computer Journal, 38(6), 479–488.

Brodal G.S., Makris C., Sioutas S., Tsakalidis A., & Tsichlas K. (2002). Optimal Solutions for the Temporal Precedence Problem. Algorithmica, 33(4), 494–510.

Brodal G.S., Lagogiannis G., Makris C., Tsakalidis A., & Tsichlas K. (2003). Optimal Finger Search Trees in the Pointer Machine. Journal of Computer and System Sciences, 67, 381–418.

Brodal G.S., Lagogiannis G., Makris C., Tsakalidis A., & Tsichlas K. (2002). Optimal Finger Search Trees in the Pointer Machine. Proceedings of the 34th Annual ACM Symposium on Theory of Computing, 583–591.

Makris C., Sakkopoulos E., Sioutas S., Triantafillou P., Tsakalidis A., & Vassiliadis V. (2005). NIPPERS: Network of InterPolated Peers for Web Service Discovery. IEEE ITCC.

Bozanis P., Kitsios N., Makris C., & Tsakalidis A. (July 10-14). New Upper Bounds for Generalized Intersection Searching Problems. Proceedings of the 22th International Colloquium on Automata Languages and Programming (ICALP, 464–474.

Garofalakis J., Kappos P., & Makris C. (2001). Improving Web Site?s Accessibility, poster demo. Proceedings of the 10th International World Wide Web Conference (WWW), May 1-5. http://www10.org/cdrom/posters/frame.html.

Garofalakis J., Kappos P., & Makris C. (2002). Improving the Performance of Web Access by Bridging Global Ranking with Local Page Popularity Metrics. Internet Research, Electronic Networking Applications & Policy, 12, 1, 43–55.

Iliopoulos C.S, Makris C., Sioutas S., Tsakalidis A., & Tsichlas K. (July 3-5). Identifying Occurrences of Maximal Pairs into Multiple Strings. Proceedings of the 13th Annual Symposium on Combinatorial Pattern Matching, 133–143.

Anogianakis G., Kapritsos E., Makris C., Mpaltas N., Themelis A., Perdikuri K., & Tsakalidis A. (2005). Idenitification of protein patterns in nucleic acid sequences and exploration of synonymous codons in tissue differentiation. Computational Biology and Genome Information.

Derekenaris G., Garofalakis J., Makris C., Prentzas J., Sioutas S., & Tsakalidis A. (2001). GPS and GSM Technologies for the Effective Management of Ambulances, Computers. Environment and Urban Systems, 25(3).

Derekenaris G., Garofalakis J., Makris C., Prentzas J., Sioutas S., & Tsakalidis A. (2000). GPS and GSM Technologies for the Effective Management of Ambulances. Proceedings of the Second International Symposium on Telegeoprocessing (℡EGEO), May 10-12, 131–141.

Simos, M. A., & Makris, C. (2022). Computationally Efficient Context-Free Named Entity Disambiguation with Wikipedia. Information, 13(8), 367.

Kouris, I., Makris, C., & Tsakalidis, A. (2004). Assessing the Microeconomic Facet of Association Rules via an Efficient Weighting Scheme. Proceedings of the First Ikms International Conference on Knowledge Management, 340–350.

Bompotas, A., Ilias, A., Kanavos, A., Kechagias, P., Arvanitakis, P., Zotos, N., Kovas, K., & Makris, C. (n.d.). Implementation and Repeatability Aspects Combined with Refactoring for a Reviews Manager System. WEBIST, 2021, 607–615.

Antonellis, P., Makris, C., & Tsirakis, N. (n.d.). Utilizing XML Clustering for Efficient XML Data Management on P2P Networks. DEXA, 2009, 68–82.

Akarepis, I., Bompotas, A., & Makris, C. (2024). Efficient parameter learning for Bayesian Network classifiers following the Apache Spark Dataframes paradigm. Knowl. Inf. Syst, 66(8), 4437–4461.

Bompotas, A., Ilias, A., Kanavos, A., Makris, C., Rompolas, G., & Savvopoulos, A. (n.d.). A Sentiment-Based Hotel Review Summarization Using Machine Learning Techniques. AIAI Workshops, 2020, 155–164.

Kalogeropoulos, N.-R., Kontogiannis, G., & Makris, C. (2025). Spectral clustering and query expansion using embeddings on the graph-based extension of the set-based information retrieval model. Expert Systems with Applications, 263, 125771. https://doi.org/https://doi.org/10.1016/j.eswa.2024.125771

Kalogeropoulos, N.-R., Doukas, I., & Makris, C. (n.d.). A Graph-Based Extension for the Set-Based Model Implementing Algorithms Based on Important Nodes. AIAI Workshops, 2020, 143–154.

Rompolas, G. (n.d.). Athanasios Smpoukis, Eleanna Kafeza, Christos Makris: Predicting Song Popularity Through Machine Learning and Sentiment Analysis on Social Networks. AIAI Workshops, 2024, 314–324.

Gkillas, A., Simos, M. A., & Makris, C. (2023). Popularity inference based on semantic sentiment analysis of YouTube video comments. IISA.

Iliopoulou, K., & Kanavos, A. (n.d.). Aristidis Ilias, Christos Makris , Gerasimos Vonitsanos: Improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses. AIAI Workshops, 2020, 187–199.

Drakopoulos, G., Kanavos, A., & Paximadis, K. (n.d.). Aristidis Ilias, Christos Makris, Phivos Mylonas: Computing Massive Trust Analytics for Twitter using Apache Spark with Account Self-assessment. WEBIST, 2020, 403–414.

Makris, C., Patikas, K., & Stamatiou, Y. C. (2016). Increasing trust towards eCommerce: Privacy Enhancing Technologies against Price Discrimination.

Makris, C. (n.d.). Konstantinos Siaterlis, Pantelis Vikatos: Personalized Hotlink Assignment using Social Networks. WEBIST, 2017, 71–79.

Iosifidis, V., & Makris, C. (2016). Compressing Inverted Files Using modified LZW. WEBIST.

Volis, G., Makris, C., & Kanavos, A. (2016). Two Novel Techniques For Space Compaction On Biological Sequences.

Lempesis, E., & Makris, C. (2014). Combining Learning-to-Rank with Clustering. WEBIST, 286–295.

Makris, C., & Simos, M. (2014). Novel Techniques for Text Annotation with Wikipedia Entities.

Makris, C., Plegas, Y., Stamatiou, Y. C., Stavropoulos, E. C., & Tsakalidis, A. K. (2014). Reducing Redundant Information in Search Results Employing Approximation Algorithms.

Kanavos, Α., Makris, C., Plegas, Y., & Theodoridis, E. (n.d.). Extracting knowledge from Web Search Engines using Wikipedia. 2nd Mining Humanistic Data Workshop, Held in Conjunction with the 14th EANN 2013 Conference.

Pouliopoulou, M., Gkotsis, G., & Makris, C. (2013). Aletrnate views of graph clustering based on thresholds: A case study for a student forum. ACM PIKM.

Makris, C., & Tsakalidis, K. (2012). An improved algorithm for static 3D dominance reporting in the pointer machine. ISAAC.

Kafeza, E., Kanavos, A., Makris, C., & W, D. K. (n.d.). Chiu: Identifying Personality-Based Communities in Social Networks. ER Workshops, 2013, 7–13.

Makris, C., & Plegas, Y. (n.d.). Exploiting Progressions for Improving Inverted Index Compression. 9th International Conference on Web Information Systems and Technologies (WEBIST 2013, 251–256.

Makris, C., Plegas, Y., & Theodoridis, E. (2013). Improved text annotation with Wikipedia entities. ACM SAC, 288–295.

Antonellis, P., Makris, C., & Pispirigos, G. (n.d.). Parallelized structural and value XML filtering on multicore processors. 8th International Conference on Web Information Systems and Technologies (WebIST 2012), Full Paper, 9% Acceptance Rate, 5–12.

Ioannou, M., Makris, C., Tzimas, G., & Viennas, E. (n.d.). A text mining approach for biomedical documents.

Makris, C., Stamou, S., Theodoridis, E., & Tzekou, P. (2011). A Semantically Enhanced Web Recommendation Scheme, LWA KDML.

Antonellis, P., & Makris, C. (n.d.). XML Filtering Using Dynamic Hierarchical Clustering of User Profiles. DEXA, 2008, 537–551.

Kanavos, A., Makris, C., & Theodoridis, E. (n.d.). On topic categorization of PubMed query results. In WADTMB 2012.

Ladas, A., Ch Makris, E. S., & Tsakalidis, A. (2010). Focused Searching using Web Graphs Categories".

Makris, C., Theodoridis, E., Panagis, Y., & Tsakalidis, A. (2007). A Web-Page Usage Prediction Scheme using Weighted Suffix Trees. 14th String Processing and Information Retrieval Symposium (SPIRE.