Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks. - Ioannis E. Livieris; Andreas Kanavos; Gerasimos Vonitsanos; Niki Kiriakidou; Anastasios Vikatos; Konstantinos C. Giotopoulos; Vassilis Tampakas (IISA, 2018)

A NoSQL Database Approach for Modeling Heterogeneous and Semi-Structured Information. - Gerasimos Vonitsanos; Andreas Kanavos; Phivos Mylonas; Spyros Sioutas (IISA, 2018)

Scalable and Hierarchical Distributed Data Structures for Efficient Big Data Management. - Spyros Sioutas; Gerasimos Vonitsanos; Nikolaos Zacharatos; Christos D. Zaroliagis (ALGOCLOUD, 2019)

Pre-processing Framework for Twitter Sentiment Classification. - Elias Dritsas; Gerasimos Vonitsanos; Ioannis E. Livieris; Andreas Kanavos; Aristidis Ilias; Christos Makris 001; Athanasios K. Tsakalidis (AIAI (Workshops), 2019)

Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method. - Fotios Kounelis; Andreas Kanavos; Ioannis E. Livieris; Gerasimos Vonitsanos; Panagiotis E. Pintelas (AIAI (Workshops), 2019)

Employing Constrained Neural Networks for Forecasting New Product's Sales Increase. - Ioannis E. Livieris; Niki Kiriakidou; Andreas Kanavos; Gerasimos Vonitsanos; Vassilis Tampakas (AIAI (Workshops), 2019)

An Apache Spark Methodology for Forecasting Tourism Demand in Greece. - Nikolaos Ntaliakouras; Gerasimos Vonitsanos; Andreas Kanavos; Elias Dritsas (IISA, 2019)

A NoSQL Approach for Aspect Mining of Cultural Heritage Streaming Data. - Gerasimos Vonitsanos; Andreas Kanavos; Alaa Mohasseb; Dimitrios Tsolis (IISA, 2019)

Improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses. - Konstantina Iliopoulou; Andreas Kanavos; Aristidis Ilias; Christos Makris 001; Gerasimos Vonitsanos (AIAI (Workshops), 2020)

Parametric Evaluation Of Collaborative Filtering Over Apache Spark. - Athanasios Alexopoulos; Georgios Drakopoulos; Andreas Kanavos; Spyros Sioutas; Gerasimos Vonitsanos (SEEDA-CECNSM, 2020)

An Entropy-based Evaluation for Sentiment Analysis of Stock Market Prices using Twitter Data. - Andreas Kanavos; Gerasimos Vonitsanos; Alaa Mohasseb; Phivos Mylonas (SMAP, 2020)

Security and Privacy Solutions associated with NoSQL Data Stores. - Gerasimos Vonitsanos; Elias Dritsas; Andreas Kanavos; Phivos Mylonas; Spyros Sioutas (SMAP, 2020)

Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark. - Athanasios Alexopoulos; Georgios Drakopoulos; Andreas Kanavos; Phivos Mylonas; Gerasimos Vonitsanos (Algorithms, 2020)

Trajectory Clustering and k-NN for Robust Privacy Preserving k-NN Query Processing in GeoSpark. - Elias Dritsas; Andreas Kanavos; Maria Trigka; Gerasimos Vonitsanos; Spyros Sioutas; Athanasios K. Tsakalidis (Algorithms, 2020)

Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks. - Andreas Kanavos; Maria Trigka; Elias Dritsas; Gerasimos Vonitsanos; Phivos Mylonas (AIAI (Workshops), 2021)

Forecasting Air Flight Delays and Enabling Smart Airport Services in Apache Spark. - Gerasimos Vonitsanos; Theodor Panagiotakopoulos; Andreas Kanavos; Athanasios K. Tsakalidis (AIAI (Workshops), 2021)

Aspect-Based Community Detection of Cultural Heritage Streaming Data. - Elias Dritsas; Maria Trigka; Gerasimos Vonitsanos; Andreas Kanavos; Phivos Mylonas (IISA, 2021)

Forecasting Winter Precipitation based on Weather Sensors Data in Apache Spark. - Andreas Kanavos; Theodor Panagiotakopoulos; Gerasimos Vonitsanos; Manolis Maragoudakis; Yiannis Kiouvrekis (IISA, 2021)

Issues and Challenges associated with Blockchain in Smart Cities. - Gerasimos Vonitsanos; Theodor Panagiotakopoulos; Andreas Kanavos; Manolis Maragoudakis; Phivos Mylonas (SMAP, 2021)

Clustering High-Dimensional Social Media Datasets sutilizing Graph Mining. - Andreas Kanavos; Gerasimos Vonitsanos; Phivos Mylonas (IEEE Big Data, 2022)

A Proposed Methodology for Enhancing User Experience in Mobile Applications Design for Cultural Promotion. - Gerasimos Vonitsanos; Yorghos Voutos; Theodor Panagiotakopoulos; Andreas Kanavos; Phivos Mylonas (SEEDA-CECNSM, 2022)

An Apache Spark Framework for IoT-enabled Waste Management in Smart Cities. - Gerasimos Vonitsanos; Theodor Panagiotakopoulos; Andreas Kanavos; Achilles Kameas (SETN, 2022)

An Apache Spark Implementation for Text Document Clustering. - Elias Dritsas; Maria Trigka; Gerasimos Vonitsanos; Andreas Kanavos; Phivos Mylonas (SMAP, 2022)

A Dynamic Distributed Deterministic Load-Balancer for Decentralized Hierarchical Infrastructures. - Spyros Sioutas; Efrosini Sourla; Kostas Tsichlas; Gerasimos Vonitsanos; Christos D. Zaroliagis (Algorithms, 2022)

The Predictive Power of a Twitter User's Profile on Cryptocurrency Popularity. - Maria Trigka; Andreas Kanavos; Elias Dritsas; Gerasimos Vonitsanos; Phivos Mylonas (Big Data Cogn. Comput., 2022)

Decoding Gender on Social Networks: An In-depth Analysis of Language in Online Discussions Using Natural Language Processing and Machine Learning. - Gerasimos Vonitsanos; Andreas Kanavos; Phivos Mylonas (IEEE Big Data, 2023)

Exploring Network Dynamics: Community Detection and Influencer Analysis in Multidimensional Social Networks. - Andreas Kanavos; Gerasimos Vonitsanos; Ioannis Karamitsos; Khalil Al-Hussaeni (IEEE Big Data, 2024)

Transforming Education in the Digital Age: Exploring the Dimensions of Education 4.0. - Gerasimos Vonitsanos; Ioanna Moustaka; Spyridon Doukakis; Phivos Mylonas (EDUCON, 2024)

Digital Transformation in Adult Education: Empowering Educators to Use DigComp with a MOOC. - Natalia D. Spyropoulou; Sofia Tsitou; Gerasimos Vonitsanos; Rozalia Kalantzi; Achilles Kameas (FIE, 2024)

Efficient Energy Disaggregation Using DBSCAN: A Novel Approach for Enhanced Energy Management. - Emmanouela-Electra Economopoulou; Gerasimos Vonitsanos; Phivos Mylonas; Andreas Kanavos (AIAI (Workshops), 2024)

Comparative Analysis of Time Series and Machine Learning Models for Air Quality Prediction Utilizing IoT Data. - Gerasimos Vonitsanos; Theodor Panagiotakopoulos; Achilles Kameas (AIAI (Workshops), 2024)

Optimized Price Prediction of Cryptocurrencies using Deep Learning on High-Volume Time Series Data. - Gerasimos Vonitsanos; Andreas Kanavos; Foteini Grivokostopoulou; Spyros Sioutas (IISA, 2024)

Advancing Sentiment Analysis of IMDB Movie Reviews with a Hybrid Multinomial Naive Bayes and LSTM Approach. - Orestis Papadimitriou; Athanasios Kanavos 001; Gerasimos Vonitsanos; Manolis Maragoudakis; Phivos Mylonas (NiDS, 2024)

Enhancing Aviation Efficiency Through Big Data and Machine Learning for Flight Delay Prediction. - Gerasimos Vonitsanos; Ioannis Gounaridis; Andreas Kanavos; Phivos Mylonas (NiDS, 2024)

Advanced CNN Architectures for Improved Garbage Image Classification: An In-depth Evaluation. - Athanasios Kanavos 001; Orestis Papadimitriou; Gerasimos Vonitsanos; Manolis Maragoudakis; Phivos Mylonas (SEEDA-CECNSM, 2024)

Evaluating Machine Learning Techniques for Enhanced Prediction of Building Energy Consumption. - Gerasimos Vonitsanos; Andreas Kanavos; Phivos Mylonas (SEEDA-CECNSM, 2024)

Enhancing Emotion Classification with a Hybrid BERT and CNN Architecture. - Orestis Papadimitriou; Athanasios Kanavos 001; Gerasimos Vonitsanos; Manolis Maragoudakis; Panagiotis Karkazis; Phivos Mylonas (SMAP, 2024)

Social Media Insights into Climate Change: Sentiment Analysis Using VADER and RoBERTa. - Gerasimos Vonitsanos; Andreas Kanavos; Georgios Bardis; Phivos Mylonas (SMAP, 2024)

Dynamic Workload Management System in the Public Sector. - Konstantinos C. Giotopoulos; Dimitrios Michalopoulos; Gerasimos Vonitsanos; Dimitris Papadopoulos; Ioanna Giannoukou; Spyros Sioutas (Inf., 2024)

Artificial Intelligence Techniques in Grapevine Research: A Comparative Study with an Extensive Review of Datasets, Diseases, and Techniques Evaluation. - Paraskevi Gatou; Xanthi Tsiara; Alexandros Spitalas; Spyros Sioutas; Gerasimos Vonitsanos (Sensors, 2024)

Human-AI Co-creation: LLMs, Contextual Hints, Performance. - Panagiotis Gratsanis; Ioannis Karydis; Spyros Sioutas; Gerasimos Vonitsanos (AIAI Workshops (2), 2025)

Dynamic Workload Management System in the Public Sector: A Comparative Analysis. - Konstantinos C. Giotopoulos; Dimitrios Michalopoulos; Gerasimos Vonitsanos; Dimitris Papadopoulos; Ioanna Giannoukou; Spyros Sioutas (Future Internet, 2025)