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Large Language Models as Explainable AI Ensemble Aggregators for Business Review Sentiment Analysis: A Comparative Study with Classical Ensembles

Submitted by admin on Sun, 2026-06-28 21:00
Roumeliotis KI, Margaris D, Spiliotopoulos D, Vassilakis C.  2026.  Large Language Models as Explainable AI Ensemble Aggregators for Business Review Sentiment Analysis: A Comparative Study with Classical Ensembles. Applied Sciences. 16:6479.

The enhancement of Passenger Ground Transfer Management by the BPMN modeling and Real-Time Flight Data

Submitted by admin on Wed, 2026-05-27 13:29
Mpardis G, Margaris D, Roumeliotis KI, Vassilakis C, Spiliotopoulos D.  2026.  The enhancement of Passenger Ground Transfer Management by the BPMN modeling and Real-Time Flight Data. Proceedings of the 2026 International Conference on Information, Intelligence, Systems and Applications.

A Multimodal Pipeline for Personalized Recommendations from Greek YouTube Content: Integrating Automatic Speech Recognition and Aspect-Based Sentiment Analysis

Submitted by admin on Wed, 2026-05-27 13:29
Singh M, Roumeliotis KI, Vassilakis C, Margaris D, Mpardis G, Spiliotopoulos D.  2026.  A Multimodal Pipeline for Personalized Recommendations from Greek YouTube Content: Integrating Automatic Speech Recognition and Aspect-Based Sentiment Analysis. Proceedings of the 2026 International Conference on Information, Intelligence, Systems and Applications.

A Comparative Study of Qwen and Gemma Large Language Models for Social Media Slang and Emoji Sentiment Analysis for Business Recommender Systems

Submitted by admin on Wed, 2026-05-27 13:29
Roumeliotis KI, Spiliotopoulos D, Tryfonopoulos C, Margaris D, Mpardis G, Vassilakis C.  2026.  A Comparative Study of Qwen and Gemma Large Language Models for Social Media Slang and Emoji Sentiment Analysis for Business Recommender Systems. Proceedings of the 2026 International Conference on Information, Intelligence, Systems and Applications.

Unveiling Structural Distributional Bias in Collaborative Filtering for Ultra-Sparse Datasets

Submitted by admin on Tue, 2026-05-26 21:00
Nanos J, Margaris D, Mpardis G, Roumeliotis KI, Vassilakis C, Spiliotopoulos D.  2026.  Unveiling Structural Distributional Bias in Collaborative Filtering for Ultra-Sparse Datasets. Proceedings of the 2026 International Conference on Information, Intelligence, Systems and Applications.

Optimizing Collaborative Filtering in Very Sparse Datasets: a Confidence-based Approach

Submitted by admin on Tue, 2026-05-26 21:00
Stouraiti V, Mpardis G, Roumeliotis KI, Vassilakis C, Tryfonopoulos C, Spiliotopoulos D.  2026.  Optimizing Collaborative Filtering in Very Sparse Datasets: a Confidence-based Approach. Proceedings of the 2026 International Conference on Information, Intelligence, Systems and Applications.

A Large-Scale Empirical Study of LLM Orchestration and Ensemble Strategies for Sentiment Analysis in Recommender Systems

Submitted by admin on Sun, 2026-02-22 00:49
Roumeliotis KI, Margaris D, Spiliotopoulos D, Vassilakis C.  2026.  A Large-Scale Empirical Study of LLM Orchestration and Ensemble Strategies for Sentiment Analysis in Recommender Systems. Future Internet. 18:112.