Gerasimos Vonitsanos

51 papers B 4C 3Journal 8Unranked 36
YearRankTypeTitle / Venue / Authors
2025 — conf
"Human-Computer Interaction in the Big Data Era: Systems, Cognition, and Interactive Intelligence".
CHI Greece
Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Phivos Mylonas
2025 C conf
A Context-Enriched Hybrid ARIMAX-Deep Learning Framework for Robust Cryptocurrency Price Forecasting.
WEBIST
Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
2025 B conf
A Systematic Comparison of Statistical and Neural Frameworks for Spanish POS Tagging.
IEEE Big Data
Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
2025 — conf
Adaptive and Mixed Incentive Strategies for Spatial Balancing in Bike-Sharing Systems.
ISC2
Andreas Komninos, Gerasimos Vonitsanos, Ioulia Simou, John D. Garofalakis
2025 — conf
Designing and Regularizing Deep CNN Architectures for Dog Versus Cat Image Classification.
NiDS (1)
Athanasios Kanavos, Gerasimos Vonitsanos, Manolis Maragoudakis, Phivos Mylonas
2025 J jnl
Dynamic Workload Management System in the Public Sector: A Comparative Analysis.
Future Internet
Konstantinos C. Giotopoulos, Dimitrios Michalopoulos, Gerasimos Vonitsanos, Dimitris Papadopoulos, Ioanna Giannoukou, Spyros Sioutas
2025 — conf
Human-AI Co-creation: LLMs, Contextual Hints, Performance.
AIAI Workshops (2)
Panagiotis Gratsanis, Ioannis Karydis, Spyros Sioutas, Gerasimos Vonitsanos
2025 — conf
Integrating Attention Mechanisms into Convolutional Neural Networks for Image Classification.
SEEDA-CECNSM
Gerasimos Vonitsanos, Emmanouela-Electra Economopoulou, Spyros Sioutas, Athanasios Kanavos, Phivos Mylonas
2025 — conf
Integrating Machine Learning Approaches for Consumer Behavior Analysis in Retail Transactions.
SMAP
Andreas Kanavos, Gerasimos Vonitsanos, Phivos Mylonas
2025 J jnl
Mining Humanistic Data with Machine Learning to Improve Open Educational Resources (OER) Engagement.
Int. J. Artif. Intell. Tools
Gerasimos Vonitsanos, Ioanna Moustaka, Spyridon Doukakis, Panagiotis Vlamos
2025 — conf
Sensor-Driven Ensemble Learning for Crop Recommendation and Disease Prediction in Precision Agriculture.
SMAP
Gerasimos Vonitsanos, Emmanouela-Electra Economopoulou, Spyros Sioutas, Andreas Kanavos, Phivos Mylonas
2024 — conf
Advanced CNN Architectures for Improved Garbage Image Classification: An In-depth Evaluation.
SEEDA-CECNSM
Athanasios Kanavos, Orestis Papadimitriou, Gerasimos Vonitsanos, Manolis Maragoudakis, Phivos Mylonas
2024 — conf
Advancing Sentiment Analysis of IMDB Movie Reviews with a Hybrid Multinomial Naive Bayes and LSTM Approach.
NiDS
Orestis Papadimitriou, Athanasios Kanavos, Gerasimos Vonitsanos, Manolis Maragoudakis, Phivos Mylonas
2024 J jnl
Artificial Intelligence Techniques in Grapevine Research: A Comparative Study with an Extensive Review of Datasets, Diseases, and Techniques Evaluation.
Sensors
Paraskevi Gatou, Xanthi Tsiara, Alexandros Spitalas, Spyros Sioutas, Gerasimos Vonitsanos
2024 — conf
Comparative Analysis of Time Series and Machine Learning Models for Air Quality Prediction Utilizing IoT Data.
AIAI (Workshops)
Gerasimos Vonitsanos, Theodor Panagiotakopoulos, Achilles Kameas
2024 C conf
Digital Transformation in Adult Education: Empowering Educators to Use DigComp with a MOOC.
FIE
Natalia D. Spyropoulou, Sofia Tsitou, Gerasimos Vonitsanos, Rozalia Kalantzi, Achilles Kameas
2024 J jnl
Dynamic Workload Management System in the Public Sector.
Inf.
Konstantinos C. Giotopoulos, Dimitrios Michalopoulos, Gerasimos Vonitsanos, Dimitris Papadopoulos, Ioanna Giannoukou, Spyros Sioutas
2024 — conf
Efficient Energy Disaggregation Using DBSCAN: A Novel Approach for Enhanced Energy Management.
AIAI (Workshops)
Emmanouela-Electra Economopoulou, Gerasimos Vonitsanos, Phivos Mylonas, Andreas Kanavos
2024 — conf
Enhancing Aviation Efficiency Through Big Data and Machine Learning for Flight Delay Prediction.
NiDS
Gerasimos Vonitsanos, Ioannis Gounaridis, Andreas Kanavos, Phivos Mylonas
2024 — conf
Enhancing Emotion Classification with a Hybrid BERT and CNN Architecture.
SMAP
Orestis Papadimitriou, Athanasios Kanavos, Gerasimos Vonitsanos, Manolis Maragoudakis, Panagiotis Karkazis, Phivos Mylonas
2024 — conf
Evaluating Machine Learning Techniques for Enhanced Prediction of Building Energy Consumption.
SEEDA-CECNSM
Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
2024 B conf
Exploring Network Dynamics: Community Detection and Influencer Analysis in Multidimensional Social Networks.
IEEE Big Data
Andreas Kanavos, Gerasimos Vonitsanos, Ioannis Karamitsos, Khalil Al-Hussaeni
2024 — conf
Optimized Price Prediction of Cryptocurrencies using Deep Learning on High-Volume Time Series Data.
IISA
Gerasimos Vonitsanos, Andreas Kanavos, Foteini Grivokostopoulou, Spyros Sioutas
2024 — conf
Social Media Insights into Climate Change: Sentiment Analysis Using VADER and RoBERTa.
SMAP
Gerasimos Vonitsanos, Andreas Kanavos, Georgios Bardis, Phivos Mylonas
2024 C conf
Transforming Education in the Digital Age: Exploring the Dimensions of Education 4.0.
EDUCON
Gerasimos Vonitsanos, Ioanna Moustaka, Spyridon Doukakis, Phivos Mylonas
2023 B conf
Decoding Gender on Social Networks: An In-depth Analysis of Language in Online Discussions Using Natural Language Processing and Machine Learning.
IEEE Big Data
Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
2022 J jnl
A Dynamic Distributed Deterministic Load-Balancer for Decentralized Hierarchical Infrastructures.
Algorithms
Spyros Sioutas, Efrosini Sourla, Kostas Tsichlas, Gerasimos Vonitsanos, Christos D. Zaroliagis
2022 — conf
A Proposed Methodology for Enhancing User Experience in Mobile Applications Design for Cultural Promotion.
SEEDA-CECNSM
Gerasimos Vonitsanos, Yorghos Voutos, Theodor Panagiotakopoulos, Andreas Kanavos, Phivos Mylonas
2022 — conf
An Apache Spark Framework for IoT-enabled Waste Management in Smart Cities.
SETN
Gerasimos Vonitsanos, Theodor Panagiotakopoulos, Andreas Kanavos, Achilles Kameas
2022 — conf
An Apache Spark Implementation for Text Document Clustering.
SMAP
Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
2022 B conf
Clustering High-Dimensional Social Media Datasets sutilizing Graph Mining.
IEEE Big Data
Andreas Kanavos, Gerasimos Vonitsanos, Phivos Mylonas
2022 J jnl
The Predictive Power of a Twitter User's Profile on Cryptocurrency Popularity.
Big Data Cogn. Comput.
Maria Trigka, Andreas Kanavos, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas
2021 — conf
Aspect-Based Community Detection of Cultural Heritage Streaming Data.
IISA
Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas
2021 — conf
Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks.
AIAI (Workshops)
Andreas Kanavos, Maria Trigka, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas
2021 — conf
Forecasting Air Flight Delays and Enabling Smart Airport Services in Apache Spark.
AIAI (Workshops)
Gerasimos Vonitsanos, Theodor Panagiotakopoulos, Andreas Kanavos, Athanasios K. Tsakalidis
2021 — conf
Forecasting Winter Precipitation based on Weather Sensors Data in Apache Spark.
IISA
Andreas Kanavos, Theodor Panagiotakopoulos, Gerasimos Vonitsanos, Manolis Maragoudakis, Yiannis Kiouvrekis
2021 — conf
Issues and Challenges associated with Blockchain in Smart Cities.
SMAP
Gerasimos Vonitsanos, Theodor Panagiotakopoulos, Andreas Kanavos, Manolis Maragoudakis, Phivos Mylonas
2020 — conf
An Entropy-based Evaluation for Sentiment Analysis of Stock Market Prices using Twitter Data.
SMAP
Andreas Kanavos, Gerasimos Vonitsanos, Alaa Mohasseb, Phivos Mylonas
2020 — conf
Improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses.
AIAI (Workshops)
Konstantina Iliopoulou, Andreas Kanavos, Aristidis Ilias, Christos Makris, Gerasimos Vonitsanos
2020 — conf
Parametric Evaluation Of Collaborative Filtering Over Apache Spark.
SEEDA-CECNSM
Athanasios Alexopoulos, Georgios Drakopoulos, Andreas Kanavos, Spyros Sioutas, Gerasimos Vonitsanos
2020 — conf
Security and Privacy Solutions associated with NoSQL Data Stores.
SMAP
Gerasimos Vonitsanos, Elias Dritsas, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas
2020 J jnl
Trajectory Clustering and k-NN for Robust Privacy Preserving k-NN Query Processing in GeoSpark.
Algorithms
Elias Dritsas, Andreas Kanavos, Maria Trigka, Gerasimos Vonitsanos, Spyros Sioutas, Athanasios K. Tsakalidis
2020 J jnl
Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark.
Algorithms
Athanasios Alexopoulos, Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas, Gerasimos Vonitsanos
2019 — conf
A NoSQL Approach for Aspect Mining of Cultural Heritage Streaming Data.
IISA
Gerasimos Vonitsanos, Andreas Kanavos, Alaa Mohasseb, Dimitrios Tsolis
2019 — conf
An Apache Spark Methodology for Forecasting Tourism Demand in Greece.
IISA
Nikolaos Ntaliakouras, Gerasimos Vonitsanos, Andreas Kanavos, Elias Dritsas
2019 — conf
Employing Constrained Neural Networks for Forecasting New Product's Sales Increase.
AIAI (Workshops)
Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Gerasimos Vonitsanos, Vassilis Tampakas
2019 — conf
Pre-processing Framework for Twitter Sentiment Classification.
AIAI (Workshops)
Elias Dritsas, Gerasimos Vonitsanos, Ioannis E. Livieris, Andreas Kanavos, Aristidis Ilias, Christos Makris, Athanasios K. Tsakalidis
2019 — conf
Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method.
AIAI (Workshops)
Fotios Kounelis, Andreas Kanavos, Ioannis E. Livieris, Gerasimos Vonitsanos, Panagiotis E. Pintelas
2019 — conf
Scalable and Hierarchical Distributed Data Structures for Efficient Big Data Management.
ALGOCLOUD
Spyros Sioutas, Gerasimos Vonitsanos, Nikolaos Zacharatos, Christos D. Zaroliagis
2018 — conf
A NoSQL Database Approach for Modeling Heterogeneous and Semi-Structured Information.
IISA
Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas
2018 — conf
Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks.
IISA
Ioannis E. Livieris, Andreas Kanavos, Gerasimos Vonitsanos, Niki Kiriakidou, Anastasios Vikatos, Konstantinos C. Giotopoulos, Vassilis Tampakas