Extracting Knowledge from Web Search Engine Results. - Andreas Kanavos; Evangelos Theodoridis; Athanasios K. Tsakalidis (ICTAI, 2012)

On Topic Categorization of PubMed Query Results. - Andreas Kanavos; Christos Makris 001; Evangelos Theodoridis (AIAI (2), 2012)

Extracting Knowledge from Web Search Engine Using Wikipedia. - Andreas Kanavos; Christos Makris 001; Yannis Plegas; Evangelos Theodoridis (EANN (2), 2013)

Identifying Personality-Based Communities in Social Networks. - Eleanna Kafeza; Andreas Kanavos; Christos Makris 001; Dickson K. W. Chiu (ER Workshops, 2013)

T-PICE: Twitter Personality Based Influential Communities Extraction System. - Eleanna Kafeza; Andreas Kanavos; Christos Makris 001; Pantelis Vikatos (BigData Congress, 2014)

A PubMed Meta Search Engine Based on Biomedical Entity Mining. - Andreas Kanavos; Evangelos Theodoridis; Athanasios K. Tsakalidis (DEXA Workshops, 2014)

Conversation Emotional Modeling in Social Networks. - Andreas Kanavos; Isidoros Perikos; Pantelis Vikatos; Ioannis Hatzilygeroudis; Christos Makris 001; Athanasios K. Tsakalidis (ICTAI, 2014)

Predicting Information Diffusion Patterns in Twitter. - Eleanna Kafeza; Andreas Kanavos; Christos Makris 001; Pantelis Vikatos (AIAI, 2014)

Modeling ReTweet Diffusion Using Emotional Content. - Andreas Kanavos; Isidoros Perikos; Pantelis Vikatos; Ioannis Hatzilygeroudis; Christos Makris 001; Athanasios K. Tsakalidis (AIAI, 2014)

Handling Weighted Sequences Employing Inverted Files and Suffix Trees. - Klev Diamanti; Andreas Kanavos; Christos Makris 001; Thodoris Tokis (WEBIST (2), 2014)

Can We Rank Emotions? A Brand Love Ranking System for Emotional Terms. - Andreas Kanavos; Eleanna Kafeza; Christos Makris 001 (BigData Congress, 2015)

Real Time Analytics for Measuring User Influence on Twitter. - Velissarios Zamparas; Andreas Kanavos; Christos Makris 001 (ICTAI, 2015)

Towards detecting emotional communities in Twitter. - Andreas Kanavos; Isidoros Perikos (RCIS, 2015)

Review-based Entity-ranking Refinement. - Panagiotis Gourgaris; Andreas Kanavos; Christos Makris 001; Georgios Perrakis (WEBIST, 2015)

Topic Categorization of Biomedical Abstracts. - Andreas Kanavos; Christos Makris 001; Evangelos Theodoridis (Int. J. Artif. Intell. Tools, 2015)

An Apache Spark Implementation for Sentiment Analysis on Twitter Data. - Alexandros Baltas; Andreas Kanavos; Athanasios K. Tsakalidis (ALGOCLOUD, 2016)

A Survey on Big Data and Collective Intelligence. - Ioannis Karydis; Spyros Sioutas; Markos Avlonitis; Phivos Mylonas; Andreas Kanavos (ALGOCLOUD, 2016)

Survey of Machine Learning Algorithms on Spark Over DHT-based Structures. - Spyros Sioutas; Phivos Mylonas; Alexandros Panaretos; Panagiotis Gerolymatos; Dimitrios Vogiatzis; Eleftherios Karavaras; Thomas Spitieris; Andreas Kanavos (ALGOCLOUD, 2016)

Customer Behaviour Analysis for Recommendation of Supermarket Ware. - Stavros Anastasios Iakovou; Andreas Kanavos; Athanasios K. Tsakalidis (AIAI, 2016)

Tensor-based document retrieval over Neo4j with an application to PubMed mining. - Georgios Drakopoulos; Andreas Kanavos (IISA, 2016)

Weighting Public Mood via Microblogging Analysis. - Andreas Kanavos; Stellatos Metaxas; Athanasios K. Tsakalidis (PCI, 2016)

A Neo4j Implementation of Fuzzy Random Walkers. - Georgios Drakopoulos; Andreas Kanavos; Athanasios K. Tsakalidis (SETN, 2016)

Evaluating Twitter Influence Ranking with System Theory. - Georgios Drakopoulos; Andreas Kanavos; Athanasios K. Tsakalidis (WEBIST (1), 2016)

Integrating User's Emotional Behavior for Community Detection in Social Networks. - Andreas Kanavos; Isidoros Perikos; Ioannis Hatzilygeroudis; Athanasios K. Tsakalidis (WEBIST (1), 2016)

Two Novel Techniques for Space Compaction on Biological Sequences. - George Volis; Christos Makris 001; Andreas Kanavos (WEBIST (1), 2016)

A Fuzzy Graph Framework for Initializing k-Means. - Georgios Drakopoulos; Panagiotis Gourgaris; Andreas Kanavos; Christos Makris 001 (Int. J. Artif. Intell. Tools, 2016)

Ranking Web Search Results Exploiting Wikipedia. - Andreas Kanavos; Christos Makris 001; Yannis Plegas; Evangelos Theodoridis (Int. J. Artif. Intell. Tools, 2016)

Bloom Filters for Efficient Coupling Between Tables of a Database. - Eirini Chioti; Elias Dritsas; Andreas Kanavos; Xenophon Liapakis; Spyros Sioutas; Athanasios K. Tsakalidis (EANN, 2017)

An Implementation of Disease Spreading over Biological Networks. - Nickie Lefevr; Spiridoula V. Margariti; Andreas Kanavos; Athanasios K. Tsakalidis (EANN, 2017)

Towards a framework for tensor ontologies over Neo4j: Representations and operations. - Georgios Drakopoulos; Andreas Kanavos; Phivos Mylonas; Spyros Sioutas; Dimitrios Tsolis (IISA, 2017)

Internet of Things services for healthcare systems. - Angeliki Krania; Margarita Statiri; Andreas Kanavos; Athanasios K. Tsakalidis (IISA, 2017)

Web Queries Classification Based on the Syntactical Patterns of Search Types. - Alaa Mohasseb; Mohamed Bader-El-Den; Andreas Kanavos; Mihaela Cocea (SPECOM, 2017)

Graph Community Discovery Algorithms in Neo4j with a Regularization-based Evaluation Metric. - Andreas Kanavos; Georgios Drakopoulos; Athanasios K. Tsakalidis (WEBIST, 2017)

Fuzzy Random Walkers with Second Order Bounds: An Asymmetric Analysis. - Georgios Drakopoulos; Andreas Kanavos; Konstantinos Tsakalidis (Algorithms, 2017)

Large Scale Implementations for Twitter Sentiment Classification. - Andreas Kanavos; Nikolaos Nodarakis; Spyros Sioutas; Athanasios K. Tsakalidis; Dimitrios Tsolis; Giannis Tzimas (Algorithms, 2017)

Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents. - Georgios Drakopoulos; Andreas Kanavos; Ioannis Karydis; Spyros Sioutas; Aristidis G. Vrahatis (Comput., 2017)

Detecting Perturbed Subpathways towards Mouse Lung Regeneration Following H1N1 Influenza Infection. - Aristidis G. Vrahatis; Konstantina Dimitrakopoulou; Andreas Kanavos; Spyros Sioutas; Athanasios K. Tsakalidis (Comput., 2017)

Defining and evaluating Twitter influence metrics: a higher-order approach in Neo4j. - Georgios Drakopoulos; Andreas Kanavos; Phivos Mylonas; Spyros Sioutas (Soc. Netw. Anal. Min., 2017)

Incremental Learning for Large Scale Classification Systems. - Athanasios Alexopoulos; Andreas Kanavos; Konstantinos C. Giotopoulos; Alaa Mohasseb; Mohamed Bader-El-Den; Athanasios K. Tsakalidis (AIAI (Workshops), 2018)

Finding Influential Users in Twitter Using Cluster-Based Fusion Methods of Result Lists. - Alexandros Georgiou; Andreas Kanavos; Christos Makris 001 (AIAI, 2018)

Argumentative Discourse Concepts as Revealed by Traversing a Graph. - Panagiotis Gourgaris; Andreas Kanavos; Nikos I. Karacapilidis; Vassilis Tampakas (AIAI (Workshops), 2018)

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)

LESIM: A Novel Lexical Similarity Measure Technique for Multimedia Information Retrieval. - Ioannis Karydis; Andreas Kanavos; Spyros Sioutas; Markos Avlonitis; Nikos I. Karacapilidis (MCIS, 2018)

MapReduce Implementations for Privacy Preserving Record Linkage. - Dimitris Boussis; Elias Dritsas; Andreas Kanavos; Spyros Sioutas; Giannis Tzimas; Vassilios S. Verykios (SETN, 2018)

An Auto-Adjustable Semi-Supervised Self-Training Algorithm. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panayiotis E. Pintelas (Algorithms, 2018)

LSTM Accelerator for Convolutional Object Identification. - Alkiviadis Savvopoulos; Andreas Kanavos; Phivos Mylonas; Spyros Sioutas (Algorithms, 2018)

Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour Analysis. - Andreas Kanavos; Stavros Anastasios Iakovou; Spyros Sioutas; Vassilis Tampakas (Big Data Cogn. Comput., 2018)

Emotional community detection in social networks. - Andreas Kanavos; Isidoros Perikos; Ioannis Hatzilygeroudis; Athanasios K. Tsakalidis (Comput. Electr. Eng., 2018)

Detecting Lung Abnormalities From X-rays Using an Improved SSL Algorithm. - Ioannis E. Livieris; Andreas Kanavos; Panagiotis E. Pintelas (BRAINS/WS-AFFIN@AmI, 2018)

On Ensemble SSL Algorithms for Credit Scoring Problem. - Ioannis E. Livieris; Niki Kiriakidou; Andreas Kanavos; Vassilis Tampakas; Panagiotis E. Pintelas (Informatics, 2018)

An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panayiotis E. Pintelas (J. Imaging, 2018)

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)

Towards Predicting Mentions to Verified Twitter Accounts: Building Prediction Models over MongoDB with Keras. - Ioanna Kyriazidou; Georgios Drakopoulos; Andreas Kanavos; Christos Makris 001; Phivos Mylonas (WEBIST, 2019)

Storage Efficient Trajectory Clustering and k-NN for Robust Privacy Preserving Spatio-Temporal Databases. - Elias Dritsas; Andreas Kanavos; Maria Trigka; Spyros Sioutas; Athanasios K. Tsakalidis (Algorithms, 2019)

A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays. - Ioannis E. Livieris; Andreas Kanavos; Vassilis Tampakas; Panagiotis E. Pintelas (Algorithms, 2019)

Estimating Twitter Influential Users by Using Cluster-Based Fusion Methods. - Andreas Kanavos; Alexandros Georgiou; Christos Makris 001 (Int. J. Artif. Intell. Tools, 2019)

A Sentiment-Based Hotel Review Summarization Using Machine Learning Techniques. - Agorakis Bompotas; Aristidis Ilias; Andreas Kanavos; Christos Makris 001; Gerasimos Rompolas; Alkiviadis Savvopoulos (AIAI (Workshops), 2020)

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)

A Graph-Based Extension for the Set-Based Model Implementing Algorithms Based on Important Nodes. - Nikitas-Rigas Kalogeropoulos; Ioannis Doukas; Christos Makris 001; Andreas Kanavos (AIAI (Workshops), 2020)

A Sentiment-based Hotel Review Summarization using LSTM Neural Networks. - Agorakis Bompotas; Aristidis Ilias; Maria Adamopoulos; Andreas Kanavos; Christos Makris 001; Gerasimos Rompolas; Alkiviadis Savvopoulos (IISA, 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)

Computing Massive Trust Analytics for Twitter using Apache Spark with Account Self-assessment. - Georgios Drakopoulos; Andreas Kanavos; Konstantinos Paximadis; Aristidis Ilias; Christos Makris 001; Phivos Mylonas (WEBIST, 2020)

SMS Spam Identification and Risk Assessment Evaluations. - Alaa Mohasseb; Benjamin Aziz; Andreas Kanavos (WEBIST, 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)

Graph communities in Neo4j. - Georgios Drakopoulos; Panagiotis Gourgaris; Andreas Kanavos (Evol. Syst., 2020)

A genetic algorithm for spatiosocial tensor clustering. - Georgios Drakopoulos; Foteini Stathopoulou; Andreas Kanavos; Michael Paraskevas; Giannis Tzimas; Phivos Mylonas; Lazaros Iliadis 001 (Evol. Syst., 2020)

Employing query disambiguation using clustering techniques. - Andreas Kanavos; Panagiota Kotoula; Christos Makris 001; Lazaros Iliadis 001 (Evol. Syst., 2020)

Fuzzy Information Diffusion in Twitter by Considering User's Influence. - Andreas Kanavos; Ioannis E. Livieris (Int. J. Artif. Intell. Tools, 2020)

Multimedia Content's Brokerage: An Information System Based on LeSiM. - Ioannis Karydis; Andreas Kanavos; Spyros Sioutas; Markos Avlonitis; Nikos I. Karacapilidis (Int. J. E Serv. Mob. Appl., 2020)

T-PCCE: Twitter Personality based Communicative Communities Extraction System for Big Data. - Eleanna Kafeza; Andreas Kanavos; Christos Makris 001; Georgios Pispirigos; Pantelis Vikatos (IEEE Trans. Knowl. Data Eng., 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)

A FIWARE-based IoT Framework for Smart Water Distribution Management. - Theodor Panagiotakopoulos; Dimitrios P. Vlachos; Thanasis V. Bakalakos; Andreas Kanavos; Achilles Kameas (IISA, 2021)

Discovering Influential Twitter Authors Via Clustering And Ranking On Apache Storm. - Christina Saravanos; Georgios Drakopoulos; Andreas Kanavos; Eleanna Kafeza; Christos Makris 001 (IISA, 2021)

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

Implementation and Repeatability Aspects Combined with Refactoring for a Reviews Manager System. - Agorakis Bompotas; Aristidis Ilias; Andreas Kanavos; Panayiotis Kechagias; Panayiotis Arvanitakis; Nikos Zotos; Konstantinos Kovas; Christos Makris 001 (WEBIST, 2021)

Modeling Credibility in Social Big Data using LSTM Neural Networks. - Athanasios Lyras; Sotiria Vernikou; Andreas Kanavos; Spyros Sioutas; Phivos Mylonas (WEBIST, 2021)

Discovering sentiment potential in Twitter conversations with Hilbert-Huang spectrum. - Georgios Drakopoulos; Andreas Kanavos; Phivos Mylonas; Spyros Sioutas (Evol. Syst., 2021)

Deep learning models for forecasting aviation demand time series. - Andreas Kanavos; Fotios Kounelis; Lazaros Iliadis 001; Christos Makris 001 (Neural Comput. Appl., 2021)

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

A Cloud-based Distributed Computing Approach for Extracting Molecular Descriptors. - Christos Didachos; Dionisis Panagiotis Kintos; Manolis Fousteris; Vassilis C. Gerogiannis; Le Hoang Son; Andreas Kanavos (ICACS, 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)

Domain-Specific Term Extraction: A Case Study on Greek Maritime Legal Texts. - Despoina Mouratidis; Eirini Mathe; Yorghos Voutos; Klio Stamou; Katia Lida Kermanidis; Phivos Mylonas; Andreas Kanavos (SETN, 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 Graph Mining Method for Characterizing and Measuring User Engagement in Twitter. - Ioannis Karamitsos; Alaa Mohasseb; Andreas Kanavos (SMAP, 2022)

Factoid vs. Non-factoid Question Identification: An Ensemble Learning Approach. - Alaa Mohasseb; Andreas Kanavos (WEBIST, 2022)

Grammar-Based Question Classification Using Ensemble Learning Algorithms. - Alaa Mohasseb; Andreas Kanavos (WEBIST (Revised Selected Papers), 2022)

Deep Learning Models for Yoga Pose Monitoring. - Debabrata Swain; Santosh Kumar Satapathy; Biswaranjan Acharya; Madhu Shukla; Vassilis C. Gerogiannis; Andreas Kanavos; Dimitris Giakovis (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)

Evaluating Methods for Efficient Community Detection in Social Networks. - Andreas Kanavos; Yorghos Voutos; Foteini Grivokostopoulou; Phivos Mylonas (Inf., 2022)

Multiclass sentiment analysis on COVID-19-related tweets using deep learning models. - Sotiria Vernikou; Athanasios Lyras; Andreas Kanavos (Neural Comput. Appl., 2022)

A Novel Real Coded Genetic Algorithm for Software Mutation Testing. - Deepti Bala Mishra; Biswaranjan Acharya; Dharashree Rath; Vassilis C. Gerogiannis; Andreas Kanavos (Symmetry, 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)

Utilizing Degree Centrality Measures for Product Advertisement in Social Networks. - Manoj Kumar Srivastav; Somsubhra Gupta; V. M. Priyadharshini; Subhranil Som; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos; Ioannis Karamitsos (EMCIS (2), 2023)

Extracting Knowledge from Recombinations of SMILES Representations. - Christos Didachos; Andreas Kanavos (AIAI (Workshops), 2023)

Forecasting Stock Market Alternations Using Social Media Sentiment Analysis and Regression Techniques. - Christina Saravanos; Andreas Kanavos (AIAI (Workshops), 2023)

Comparative Study of Machine Learning Algorithms and Text Vectorization Methods for Fake News Detection. - Andreas Kanavos; Ioannis Karamitsos; Alaa Mohasseb; Vassilis C. Gerogiannis (IISA, 2023)

Comparative Study of Recurrent and Dense Neural Networks for Classifying Maritime Terms. - Despoina Mouratidis; Katia Kermanidis; Andreas Kanavos (IISA, 2023)

Forecasting Stock Market Alternations Using Social Media Sentiment Analysis and Deep Neural Networks. - Christina Saravanos; Andreas Kanavos (IISA, 2023)

A Comparative Analysis of Tweet Analysis Algorithms Using Natural Language Processing and Machine Learning Models. - Andreas Kanavos; Nikos Antonopoulos; Ioannis Karamitsos; Phivos Mylonas (SMAP, 2023)

Analyzing Public Sentiment Towards the Covid-19 Pandemic: A Twitter-Based Sentiment Analysis and Machine Learning Approach. - Andreas Kanavos; Nikos Antonopoulos; Alaa Mohasseb; Phivos Mylonas (SMAP, 2023)

Deep Learning Analysis of Histopathology Images for Breast Cancer Detection: A Comparative Study of ResNet and VGG Architectures. - Andreas Kanavos; Phivos Mylonas (SMAP, 2023)

ShipQuest: A Bottom-Up Approach for Building a Modern Greek Maritime Ontology. - Eirini Mathe; Despoina Mouratidis; Yorghos Voutos; Katia Kermanidis; Phivos Mylonas; Andreas Kanavos (SMAP, 2023)

Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers. - Annwesha Banerjee Majumder; Somsubhra Gupta; Dharmpal Singh; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos; Panayiotis E. Pintelas (Algorithms, 2023)

COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques. - Shubham Mathesul; Debabrata Swain; Santosh Kumar Satapathy; Ayush Rambhad; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos (Algorithms, 2023)

Comparative Analysis of Deep Learning Architectures and Vision Transformers for Musical Key Estimation. - Manav Garg; Pranshav Gajjar; Pooja Shah; Madhu Shukla; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos (Inf., 2023)

Virtual Restaurants: Customer Experience Keeps Their Businesses Alive. - Maria I. Klouvidaki; Nikos Antonopoulos; Georgios D. Styliaras; Andreas Kanavos (Inf., 2023)

Efficient Resource Utilization in IoT and Cloud Computing. - Vivek Kumar Prasad; Debabrata Dansana; Madhuri D. Bhavsar; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos (Inf., 2023)

Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy. - Cheena Mohanty; Sakuntala Mahapatra; Biswaranjan Acharya; Fotis Kokkoras; Vassilis C. Gerogiannis; Ioannis Karamitsos; Andreas Kanavos (Sensors, 2023)

Literature Review on Hybrid Evolutionary Approaches for Feature Selection. - Jayashree Piri; Puspanjali Mohapatra; Raghunath Dey; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos (Algorithms, 2023)

Exploring Clustering Techniques for Analyzing User Engagement Patterns in Twitter Data. - Andreas Kanavos; Ioannis Karamitsos; Alaa Mohasseb (Comput., 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)

Enhanced Cardiovascular Disease Prediction Through a Semi-supervised Grey Ensemble Model. - Annwesha Banerjee Majumder; Somsubhra Gupta; Dharmpal Singh; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos; Ioannis Karamitsos (EMCIS (2), 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)

Net Zero Strategies: Empowering Climate Change Solutions Through Advanced Analytics and Time Series. - Tariq Najr; Chrissie Aldo; Ioannis Karamitsos; Andreas Kanavos; Sanjay Modak (AIAI (Workshops), 2024)

Comparative Analysis of Movie Recommendation Systems Using Filtering Techniques on IMDB and Rotten Tomatoes. - Santosh Kumar Majhi; Preetipadma Sahani; Rosy Pradhan; Biswaranjan Acharya; Foteini Grivokostopoulou; Andreas Kanavos; Vassilis C. Gerogiannis (IISA, 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)

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

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

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

Differential diagnosis of erythemato-squamous diseases using a hybrid ensemble machine learning technique. - Debabrata Swain; Utsav Mehta; Meet Mehta; Jay Vekariya; Debabala Swain; Vassilis C. Gerogiannis; Andreas Kanavos; Biswaranjan Acharya (Intell. Decis. Technol., 2024)

A Hybrid Approach for Image Acquisition Methods Based on Feature-Based Image Registration. - Anchal Kumawat; Sucheta Panda; Vassilis C. Gerogiannis; Andreas Kanavos; Biswaranjan Acharya; Stella Manika (J. Imaging, 2024)

Exploring the Role of User Experience and Interface Design Communication in Augmented Reality for Education. - Matina Kiourexidou; Andreas Kanavos; Maria I. Klouvidaki; Nikos Antonopoulos (Multimodal Technol. Interact., 2024)

Enhancing Pedestrian Tracking in Autonomous Vehicles by Using Advanced Deep Learning Techniques. - Majdi Sukkar; Madhu Shukla; Dinesh Kumar; Vassilis C. Gerogiannis; Andreas Kanavos; Biswaranjan Acharya (Inf., 2024)

Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques. - Anusha Chhabra; Monika Arora; Arpit Sharma 006; Harsh Singh; Saurabh Verma; Rachna Jain; Biswaranjan Acharya; Vassilis C. Gerogiannis; Dimitrios Tzimos; Andreas Kanavos (Int. J. Artif. Intell. Tools, 2024)

Enhancing Child Safety in Online Gaming: The Development and Application of Protectbot, an AI-Powered Chatbot Framework. - Anum Faraz; Fardin Ahsan; Jinane Mounsef; Ioannis Karamitsos; Andreas Kanavos (Inf., 2024)

Bridging Linguistic Gaps: Developing a Greek Text Simplification Dataset. - Leonidas Agathos; Andreas Avgoustis; Xristiana Kryelesi; Aikaterini Makridou; Ilias Tzanis; Despoina Mouratidis; Katia Lida Kermanidis; Andreas Kanavos (Inf., 2024)

Advanced Machine Learning Techniques for Detecting Irregularities in Skin Lesion Borders: Enhancing Early Skin Cancer Detection. - G. Raju 001; P. Nikesh; K. R. Resmi; Debabrata Swain; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos (Int. J. Artif. Intell. Tools, 2024)

Predicting Vessel Arrival Time Using Machine Learning for Enhanced Port Efficiency and Optimal Berth Allocation. - Anfal Albloushi; Ioannis Karamitsos; Andreas Kanavos; Sanjay Modak (AIAI (3), 2025)

Analyzing Public Discourse and Sentiment in Climate Change Discussions Using Transformer-Based Models. - Nikolaos Roufas; Alaa Mohasseb; Ioannis Karamitsos; Andreas Kanavos (AIAI Workshops (2), 2025)

Advanced multi-virus genome sequence classification using artificial intelligence techniques. - Debabrata Swain; Kahaan Patel; Kunj Shah; Monarch Mistry; Manish Kumar; Davinder Paul Singh; Vassilis C. Gerogiannis; Andreas Kanavos; Biswaranjan Acharya (Intell. Decis. Technol., 2025)

Optimizing task scheduling in cloud environments: a hybrid golden search whale optimization algorithm approach. - Biswaranjan Acharya; Sucheta Panda; Satyabrata Das 001; Santosh Kumar Majhi; Vassilis C. Gerogiannis; Andreas Kanavos (Neural Comput. Appl., 2025)

Forecasting stock market volatility using social media sentiment analysis. - Christina Saravanos; Andreas Kanavos (Neural Comput. Appl., 2025)