L. Akritidis, P. Bozanis, "A Clustering-Based Resampling Technique with Cluster Structure Analysis for Software Defect Detection in Imbalanced Datasets", Information Sciences, vol. 674, pp. 120724, 2024.

L. Akritidis, P. Bozanis, "A Multi-Dimensional Survey on Learning from Imbalanced Data", Extended Selected Papers of the 14th International Conference on Information, Intelligence, Systems, and Applications, pp. 13-45, 2024.

F. Iakovidis, L. Akritidis, P. Bozanis, "Effective Early Polyp Detection from Medical Images with YOLO-V7", In Proceedings of the 15th International Conference on Information, Intelligence, Systems and Applications (IISA), to appear, 2024.

L. Akritidis, A. Fevgas, M. Alamaniotis, P. Bozanis, "Conditional Data Synthesis with Deep Generative Models for Imbalanced Dataset Oversampling", In Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 444-451, 2023.

L. Akritidis, P. Bozanis, "Matching Products with Deep NLP Models", In Proceedings of the 14th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1-4, 2023.

L. Akritidis, P. Bozanis, "Low Dimensional Text Representations for Sentiment Analysis NLP Tasks", SN Computer Science, vol. 4, no. 5, 474, 2023.

A. Fevgas, L. Akritidis, M. Alamaniotis, P. Tsompanopoulou, P. Bozanis, "HyR-tree: a spatial index for hybrid Flash/3DXPoint storage", Neural Computing and Applications, vol. 35, no. 1, pp. 133–145, 2023.

L. Akritidis, M. Alamaniotis, P. Bozanis, "FLAGR: A flexible high-performance library for rank aggregation", SoftwareX, vol. 21, pp. 101319, 2023.

L. Akritidis, A. Fevgas, P. Bozanis, Y. Manolopoulos, "An Unsupervised Distance-Based Model for Weighted Rank Aggregation with List Pruning", Expert Systems with Applications, vol. 202, pp. 117435, 2022.

L. Akritidis, M. Alamaniotis, A. Fevgas, P. Tsompanopoulou, P. Bozanis, "Improving Hierarchical Short Text Clustering through Dominant Feature Learning", International Journal on Artificial Intelligence Tools, vol. 31, no. 5, 2250034, 2022.

L. Akritidis, P. Bozanis, "How Dimensionality Reduction affects Sentiment Analysis NLP Tasks: An Experimental Study", In Proceedings of the 18th International Conference on Artificial Intelligence Applications and Innovations (AIAI), pp. 301-312, 2022.

L. Akritidis, P. Bozanis, "Lifting the Curse: Exploring Dimensionality Reduction on Text Clustering Applications", In Proceedings of the 13th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1-8, 2022.

L. Akritidis, M. Alamaniotis, A. Fevgas, P. Bozanis, "A Scalable Short-Text Clustering Algorithm Using Apache Spark", In Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 927-934, 2021.

L. Akritidis, M. Alamaniotis, A. Fevgas, P. Bozanis, "Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections", In Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 813-820, 2020.

L. Akritidis, A. Fevgas, P. Bozanis, C. Makris, "A Self-Verifying Clustering Approach to Unsupervised Matching of Product Titles", Artificial Intelligence Review, vol. 53, no. 7, pp. 4777-4820, 2020.

L. Akritidis, A. Fevgas, P. Tsompanopoulou, P. Bozanis, "Evaluating the Effects of Modern Storage Devices on the Efficiency of Parallel Machine Learning Algorithms", International Journal on Artificial Intelligence Tools, vol. 29, no. 03n04, pp. 1-29, 2020.

A. Fevgas, L. Akritidis, P. Bozanis, Y. Manolopoulos, "Indexing in Flash Storage Devices: A Survey on Challenges, Current Approaches, and Future Trends", The VLDB Journal, vol. 29, no. 1, pp. 273-311, 2020.

L. Akritidis, A. Fevgas, P. Bozanis, M. Alamaniotis, "A Self-Pruning Classification Model for News", In Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1-6, 2019.

A. Fevgas, L. Akritidis, M. Alamaniotis, P. Tsompanopoulou, P. Bozanis, "A Study of R-tree Performance in Hybrid Flash/3DXPoint Storage", In Proceedings of the 10th International Conference on Information, Intelligence, Systems and Applications (IISA), pp. 1-6, 2019.

L. Akritidis, A. Fevgas, P. Bozanis, C. Makris, "A Clustering-Based Combinatorial Approach to Unsupervised Matching of Product Titles", https://arxiv.org/abs/1903.04276, 2019.

L. Akritidis, A. Fevgas, P. Bozanis, "An Iterative Distance-Based Model for Unsupervised Weighted Rank Aggregation", In Proccedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 358-362, 2019.

L. Akritidis, P. Bozanis, A. Fevgas, "Supervised Papers Classification on Large-Scale High-Dimensional Data with Apache Spark", In Proceedings of the 4th IEEE International Conference on Big Data Intelligence and Computing (DataCom), pp. 987-994, 2018.

L. Akritidis, A. Fevgas, P. Tsompanopoulou, P. Bozanis, "Investigating the Efficiency of Machine Learning Algorithms on MapReduce Clusters with SSDs", In Proceedings of the 30th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 1018-1025, 2018.

L. Akritidis, A. Fevgas, P. Bozanis, "Effective Product Categorization with Importance Scores and Morphological Analysis of the Titles", In Proceedings of the 30th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), best student paper award, pp. 213-220, 2018.

L. Akritidis, P. Bozanis, "Effective Unsupervised Matching of Product Titles with k-Combinations and Permutations", In Proceedings of the 14th IEEE International Conference on Innovations in Intelligent Systems and Applications (INISTA), pp. 1-10, 2018.

L. Akritidis, P. Bozanis, D. Papadopoulos, "Efficient Urban Transportation(s) with IoT Devices and Robust Workers Allocation", In Proceedings of 2018 South Eastern European Conference on Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), pp. 1-6, 2018.

L. Akritidis, P. Bozanis, "Improving Opinionated Blog Retrieval Effectiveness with Quality Measures and Temporal Features", World Wide Web Journal, vol. 17, no. 4, pp. 777-798, 2014.

L. Akritidis, P. Bozanis, "A Supervised Machine Learning Classification Algorithm for Research Articles", In Proceedings of the 28th ACM Symposium on Applied Computing (SAC), pp. 115-120, 2013.

L. Akritidis, P. Bozanis, "Positional Data Organization and Compression in Web Inverted Indexes", In Proceedings of the 23rd International Conference on Database and Expert Systems Applications (DEXA), Lecture Notes in Computer Science (LLNCS), vol. 7446, pp. 422-429, 2012.

L. Akritidis, P. Bozanis, "Computing Scientometrics in Large-Scale Academic Search Engines with MapReduce", In Proceedings of the 13th International Conference on Web Information System Engineering (WISE), Lecture Notes in Computer Science (LLNCS), vol. 7651, pp. 609-623, 2012.

L. Akritidis, D. Katsaros, P. Bozanis, "Identifying Attractive Research Fields for New Scientists", Scientometrics, vol. 91, no. 3, pp. 869-894, 2012.

L. Akritidis, D. Katsaros, P. Bozanis, "Improved Retrieval Effectiveness by Efficient Combination of Term Proximity and Zone Scoring: A Simulation-based Evaluation", Simulation Modelling: Practice And Theory, vol. 22, no. 3, pp. 74-91, 2012.

L. Akritidis, D. Katsaros, P. Bozanis, "Effective Rank Aggregation for Metasearching", Journal of Systems and Software, vol. 84, no 1, pp 130-143, 2011.

L. Akritidis, D. Katsaros, P. Bozanis, "Identifying the Productive and Influential Bloggers in a Community", IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews, vol. 41, no 5, pp. 759-764, 2011.

L. Akritidis, D. Katsaros, P. Bozanis, "Modern Web Technologies", New Directions in Web Data Management 1, pp. 83-107, 2011.

L. Akritidis, D. Katsaros, P. Bozanis, "Identifying Influential Bloggers: Time Does Matter", In Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 76-83, 2009.

L. Akritidis, D. Katsaros, P. Bozanis, "Identifying Influential Bloggers: Time Does Matter", https://arxiv.org/abs/0905.2416, 2009.

D. Katsaros, L. Akritidis, P. Bozanis, "The f-index: Quantifying the Impact of Coterminal Citations in Scientists Ranking", Journal of the American Society for Information Science and Technology, vol. 60, no. 5, pp. 1051-1056, 2009.

L. Akritidis, D. Katsaros, P. Bozanis, "Effective Ranking Fusion Methods for Personalized Metasearch Engines", In Proceedings of the 12th Panhellenic Conference on Informatics (PCI), pp. 39-43, 2008.

D. Katsaros, L. Akritidis, P. Bozanis, "Spam: It's Not Just for Inboxes and Search Engines! Making Hirsch h-index Robust to Scientospam", https://arxiv.org/abs/0801.0386, 2008.

L. Akritidis, G. Voutsakelis, D. Katsaros, P. Bozanis, "QuadSearch: A novel metasearch engine", In Proceedings of the 11th Panhellenic Conference on Informatics (PCI), pp. 453-466, 2007.