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ORCIDAndreas Kanavos
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- affiliation: University of Patras, Greece
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2020 – today
- 2024
[j46]Debabrata Swain, Utsav Mehta, Meet Mehta, Jay Vekariya, Debabala Swain, Vassilis C. Gerogiannis
, Andreas Kanavos, Biswaranjan Acharya:
Differential diagnosis of erythemato-squamous diseases using a hybrid ensemble machine learning technique. Intell. Decis. Technol. 18(2): 1495-1510 (2024)- [j45]Anusha Chhabra, Monika Arora, Arpit Sharma, Harsh Singh, Saurabh Verma, Rachna Jain, Biswaranjan Acharya, Vassilis C. Gerogiannis, Dimitrios Tzimos, Andreas Kanavos:
Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques. Int. J. Artif. Intell. Tools 33(2): 2350064:1-2350064:27 (2024) - [j44]Majdi Sukkar, Madhu Shukla, Dinesh Kumar, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya:
Enhancing Pedestrian Tracking in Autonomous Vehicles by Using Advanced Deep Learning Techniques. Inf. 15(2): 104 (2024) - [j43]Anum Faraz, Fardin Ahsan, Jinane Mounsef, Ioannis Karamitsos, Andreas Kanavos:
Enhancing Child Safety in Online Gaming: The Development and Application of Protectbot, an AI-Powered Chatbot Framework. Inf. 15(4): 233 (2024) - [j42]Leonidas Agathos, Andreas Avgoustis, Xristiana Kryelesi, Aikaterini Makridou, Ilias Tzanis, Despoina Mouratidis, Katia Lida Kermanidis, Andreas Kanavos:
Bridging Linguistic Gaps: Developing a Greek Text Simplification Dataset. Inf. 15(8): 500 (2024) - [j41]Matina Kiourexidou, Andreas Kanavos, Maria I. Klouvidaki, Nikos Antonopoulos:
Exploring the Role of User Experience and Interface Design Communication in Augmented Reality for Education. Multimodal Technol. Interact. 8(6): 43 (2024) - [c84]Emmanouela-Electra Economopoulou, Gerasimos Vonitsanos, Phivos Mylonas, Andreas Kanavos:
Efficient Energy Disaggregation Using DBSCAN: A Novel Approach for Enhanced Energy Management. AIAI Workshops 2024: 236-249 - [c83]Tariq Najr, Chrissie Aldo, Ioannis Karamitsos, Andreas Kanavos, Sanjay Modak:
Net Zero Strategies: Empowering Climate Change Solutions Through Advanced Analytics and Time Series. AIAI Workshops 2024: 275-289 - 2023
- [j40]Jayashree Piri, Puspanjali Mohapatra, Raghunath Dey, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos:
Literature Review on Hybrid Evolutionary Approaches for Feature Selection. Algorithms 16(3): 167 (2023) - [j39]Shubham Mathesul, Debabrata Swain, Santosh Kumar Satapathy, Ayush Rambhad, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos:
COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques. Algorithms 16(10): 494 (2023) - [j38]Annwesha Banerjee Majumder, Somsubhra Gupta, Dharmpal Singh, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos, Panayiotis E. Pintelas:
Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers. Algorithms 16(12): 538 (2023) - [j37]Andreas Kanavos, Ioannis Karamitsos, Alaa Mohasseb:
Exploring Clustering Techniques for Analyzing User Engagement Patterns in Twitter Data. Comput. 12(6): 124 (2023) - [j36]Maria I. Klouvidaki, Nikos Antonopoulos, Georgios D. Styliaras, Andreas Kanavos:
Virtual Restaurants: Customer Experience Keeps Their Businesses Alive. Inf. 14(7): 406 (2023) - [j35]Manav Garg, Pranshav Gajjar, Pooja Shah, Madhu Shukla, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos:
Comparative Analysis of Deep Learning Architectures and Vision Transformers for Musical Key Estimation. Inf. 14(10): 527 (2023) - [j34]Vivek Kumar Prasad, Debabrata Dansana, Madhuri D. Bhavsar, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos:
Efficient Resource Utilization in IoT and Cloud Computing. Inf. 14(11): 619 (2023) - [j33]Cheena Mohanty, Sakuntala Mahapatra, Biswaranjan Acharya, Fotis Kokkoras, Vassilis C. Gerogiannis, Ioannis Karamitsos, Andreas Kanavos:
Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy. Sensors 23(12): 5726 (2023) - [c82]Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas:
Decoding Gender on Social Networks: An In-depth Analysis of Language in Online Discussions Using Natural Language Processing and Machine Learning. IEEE Big Data 2023: 4618-4625 - [c81]Manoj Kumar Srivastav, Somsubhra Gupta, V. M. Priyadharshini, Subhranil Som, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos, Ioannis Karamitsos:
Utilizing Degree Centrality Measures for Product Advertisement in Social Networks. EMCIS (2) 2023: 77-91 - [c80]Christos Didachos, Andreas Kanavos:
Extracting Knowledge from Recombinations of SMILES Representations. AIAI Workshops 2023: 325-334 - [c79]Christina Saravanos, Andreas Kanavos:
Forecasting Stock Market Alternations Using Social Media Sentiment Analysis and Regression Techniques. AIAI Workshops 2023: 335-346 - [c78]Andreas Kanavos, Ioannis Karamitsos, Alaa Mohasseb, Vassilis C. Gerogiannis:
Comparative Study of Machine Learning Algorithms and Text Vectorization Methods for Fake News Detection. IISA 2023: 1-8 - [c77]Despoina Mouratidis, Katia Kermanidis, Andreas Kanavos:
Comparative Study of Recurrent and Dense Neural Networks for Classifying Maritime Terms. IISA 2023: 1-6 - [c76]Christina Saravanos, Andreas Kanavos:
Forecasting Stock Market Alternations Using Social Media Sentiment Analysis and Deep Neural Networks. IISA 2023: 1-8 - [c75]Andreas Kanavos, Nikos Antonopoulos, Ioannis Karamitsos, Phivos Mylonas:
A Comparative Analysis of Tweet Analysis Algorithms Using Natural Language Processing and Machine Learning Models. SMAP 2023: 1-6 - [c74]Andreas Kanavos, Nikos Antonopoulos, Alaa Mohasseb, Phivos Mylonas:
Analyzing Public Sentiment Towards the Covid-19 Pandemic: A Twitter-Based Sentiment Analysis and Machine Learning Approach. SMAP 2023: 1-6 - [c73]Andreas Kanavos, Phivos Mylonas:
Deep Learning Analysis of Histopathology Images for Breast Cancer Detection: A Comparative Study of ResNet and VGG Architectures. SMAP 2023: 1-6 - [c72]Eirini Mathe, Despoina Mouratidis, Yorghos Voutos, Katia Kermanidis, Phivos Mylonas, Andreas Kanavos:
ShipQuest: A Bottom-Up Approach for Building a Modern Greek Maritime Ontology. SMAP 2023: 1-6 - 2022
- [j32]Debabrata Swain, Santosh Kumar Satapathy, Biswaranjan Acharya, Madhu Shukla, Vassilis C. Gerogiannis, Andreas Kanavos, Dimitris Giakovis:
Deep Learning Models for Yoga Pose Monitoring. Algorithms 15(11): 403 (2022) - [j31]Maria Trigka, Andreas Kanavos, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas:
The Predictive Power of a Twitter User's Profile on Cryptocurrency Popularity. Big Data Cogn. Comput. 6(2): 59 (2022) - [j30]Andreas Kanavos, Yorghos Voutos, Foteini Grivokostopoulou, Phivos Mylonas:
Evaluating Methods for Efficient Community Detection in Social Networks. Inf. 13(5): 209 (2022) - [j29]Sotiria Vernikou, Athanasios Lyras, Andreas Kanavos:
Multiclass sentiment analysis on COVID-19-related tweets using deep learning models. Neural Comput. Appl. 34(22): 19615-19627 (2022) - [j28]Deepti Bala Mishra, Biswaranjan Acharya, Dharashree Rath, Vassilis C. Gerogiannis, Andreas Kanavos:
A Novel Real Coded Genetic Algorithm for Software Mutation Testing. Symmetry 14(8): 1525 (2022) - [c71]Andreas Kanavos, Gerasimos Vonitsanos, Phivos Mylonas:
Clustering High-Dimensional Social Media Datasets sutilizing Graph Mining. IEEE Big Data 2022: 3871-3880 - [c70]Christos Didachos, Dionisis Panagiotis Kintos, Manolis Fousteris, Vassilis C. Gerogiannis, Le Hoang Son, Andreas Kanavos:
A Cloud-based Distributed Computing Approach for Extracting Molecular Descriptors. ICACS 2022: 20:1-20:6 - [c69]Gerasimos Vonitsanos, Yorghos Voutos, Theodor Panagiotakopoulos, Andreas Kanavos, Phivos Mylonas:
A Proposed Methodology for Enhancing User Experience in Mobile Applications Design for Cultural Promotion. SEEDA-CECNSM 2022: 1-8 - [c68]Despoina Mouratidis, Eirini Mathe, Yorghos Voutos, Klio Stamou, Katia Lida Kermanidis, Phivos Mylonas, Andreas Kanavos:
Domain-Specific Term Extraction: A Case Study on Greek Maritime Legal Texts. SETN 2022: 10:1-10:6 - [c67]Gerasimos Vonitsanos, Theodor Panagiotakopoulos, Andreas Kanavos, Achilles Kameas:
An Apache Spark Framework for IoT-enabled Waste Management in Smart Cities. SETN 2022: 23:1-23:7 - [c66]Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas:
An Apache Spark Implementation for Text Document Clustering. SMAP 2022: 1-6 - [c65]Ioannis Karamitsos, Alaa Mohasseb, Andreas Kanavos:
A Graph Mining Method for Characterizing and Measuring User Engagement in Twitter. SMAP 2022: 1-6 - [c64]Alaa Mohasseb, Andreas Kanavos:
Grammar-Based Question Classification Using Ensemble Learning Algorithms. WEBIST (Revised Selected Papers) 2022: 84-97 - [c63]Alaa Mohasseb, Andreas Kanavos:
Factoid vs. Non-factoid Question Identification: An Ensemble Learning Approach. WEBIST 2022: 265-271 - 2021
- [j27]Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas:
Discovering sentiment potential in Twitter conversations with Hilbert-Huang spectrum. Evol. Syst. 12(1): 3-17 (2021) - [j26]Andreas Kanavos, Fotios Kounelis, Lazaros Iliadis, Christos Makris:
Deep learning models for forecasting aviation demand time series. Neural Comput. Appl. 33(23): 16329-16343 (2021) - [c62]Andreas Kanavos, Maria Trigka, Elias Dritsas, Gerasimos Vonitsanos, Phivos Mylonas:
Community Detection Algorithms for Cultural and Natural Heritage Data in Social Networks. AIAI Workshops 2021: 395-406 - [c61]Gerasimos Vonitsanos, Theodor Panagiotakopoulos, Andreas Kanavos, Athanasios K. Tsakalidis:
Forecasting Air Flight Delays and Enabling Smart Airport Services in Apache Spark. AIAI Workshops 2021: 407-417 - [c60]Elias Dritsas, Maria Trigka, Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas:
Aspect-Based Community Detection of Cultural Heritage Streaming Data. IISA 2021: 1-4 - [c59]Andreas Kanavos, Theodor Panagiotakopoulos, Gerasimos Vonitsanos, Manolis Maragoudakis, Yiannis Kiouvrekis:
Forecasting Winter Precipitation based on Weather Sensors Data in Apache Spark. IISA 2021: 1-6 - [c58]Theodor Panagiotakopoulos, Dimitrios P. Vlachos, Thanasis V. Bakalakos, Andreas Kanavos, Achilles Kameas:
A FIWARE-based IoT Framework for Smart Water Distribution Management. IISA 2021: 1-6 - [c57]Christina Saravanos, Georgios Drakopoulos, Andreas Kanavos, Eleanna Kafeza, Christos Makris:
Discovering Influential Twitter Authors Via Clustering And Ranking On Apache Storm. IISA 2021: 1-8 - [c56]Gerasimos Vonitsanos, Theodor Panagiotakopoulos, Andreas Kanavos, Manolis Maragoudakis, Phivos Mylonas:
Issues and Challenges associated with Blockchain in Smart Cities. SMAP 2021: 1-5 - [c55]Athanasios Lyras, Sotiria Vernikou, Andreas Kanavos, Spyros Sioutas, Phivos Mylonas:
Modeling Credibility in Social Big Data using LSTM Neural Networks. WEBIST 2021: 599-606 - [c54]Agorakis Bompotas, Aristidis Ilias, Andreas Kanavos, Panayiotis Kechagias, Panayiotis Arvanitakis, Nikos Zotos, Konstantinos Kovas, Christos Makris:
Implementation and Repeatability Aspects Combined with Refactoring for a Reviews Manager System. WEBIST 2021: 607-615 - 2020
- [j25]Athanasios Alexopoulos, Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas, Gerasimos Vonitsanos:
Two-Step Classification with SVD Preprocessing of Distributed Massive Datasets in Apache Spark. Algorithms 13(3): 71 (2020) - [j24]Elias Dritsas, Andreas Kanavos, Maria Trigka, Gerasimos Vonitsanos, Spyros Sioutas, Athanasios K. Tsakalidis:
Trajectory Clustering and k-NN for Robust Privacy Preserving k-NN Query Processing in GeoSpark. Algorithms 13(8): 182 (2020) - [j23]Andreas Kanavos, Panagiota Kotoula, Christos Makris, Lazaros Iliadis:
Employing query disambiguation using clustering techniques. Evol. Syst. 11(2): 305-315 (2020) - [j22]Georgios Drakopoulos, Panagiotis Gourgaris, Andreas Kanavos:
Graph communities in Neo4j. Evol. Syst. 11(3): 397-407 (2020) - [j21]Georgios Drakopoulos, Foteini Stathopoulou, Andreas Kanavos, Michael Paraskevas, Giannis Tzimas, Phivos Mylonas, Lazaros Iliadis:
A genetic algorithm for spatiosocial tensor clustering. Evol. Syst. 11(3): 491-501 (2020) - [j20]Andreas Kanavos, Ioannis E. Livieris:
Fuzzy Information Diffusion in Twitter by Considering User's Influence. Int. J. Artif. Intell. Tools 29(2): 2040003:1-2040003:22 (2020) - [j19]Ioannis Karydis, Andreas Kanavos, Spyros Sioutas, Markos Avlonitis, Nikos I. Karacapilidis:
Multimedia Content's Brokerage: An Information System Based on LeSiM. Int. J. E Serv. Mob. Appl. 12(2): 40-58 (2020) - [j18]Eleanna Kafeza, Andreas Kanavos, Christos Makris, Georgios Pispirigos, Pantelis Vikatos:
T-PCCE: Twitter Personality based Communicative Communities Extraction System for Big Data. IEEE Trans. Knowl. Data Eng. 32(8): 1625-1638 (2020) - [c53]Nikitas-Rigas Kalogeropoulos, Ioannis Doukas, Christos Makris, Andreas Kanavos:
A Graph-Based Extension for the Set-Based Model Implementing Algorithms Based on Important Nodes. AIAI Workshops 2020: 143-154 - [c52]Agorakis Bompotas, Aristidis Ilias, Andreas Kanavos, Christos Makris, Gerasimos Rompolas, Alkiviadis Savvopoulos:
A Sentiment-Based Hotel Review Summarization Using Machine Learning Techniques. AIAI Workshops 2020: 155-164 - [c51]Konstantina Iliopoulou, Andreas Kanavos, Aristidis Ilias, Christos Makris, Gerasimos Vonitsanos:
Improving Movie Recommendation Systems Filtering by Exploiting User-Based Reviews and Movie Synopses. AIAI Workshops 2020: 187-199 - [c50]Agorakis Bompotas, Aristidis Ilias, Maria Adamopoulos, Andreas Kanavos, Christos Makris, Gerasimos Rompolas, Alkiviadis Savvopoulos:
A Sentiment-based Hotel Review Summarization using LSTM Neural Networks. IISA 2020: 1-7 - [c49]Athanasios Alexopoulos, Georgios Drakopoulos, Andreas Kanavos, Spyros Sioutas, Gerasimos Vonitsanos:
Parametric Evaluation Of Collaborative Filtering Over Apache Spark. SEEDA-CECNSM 2020: 1-8 - [c48]Andreas Kanavos, Gerasimos Vonitsanos, Alaa Mohasseb, Phivos Mylonas:
An Entropy-based Evaluation for Sentiment Analysis of Stock Market Prices using Twitter Data. SMAP 2020: 1-7 - [c47]Gerasimos Vonitsanos, Elias Dritsas, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas:
Security and Privacy Solutions associated with NoSQL Data Stores. SMAP 2020: 1-5 - [c46]Georgios Drakopoulos, Andreas Kanavos, Konstantinos Paximadis, Aristidis Ilias, Christos Makris, Phivos Mylonas:
Computing Massive Trust Analytics for Twitter using Apache Spark with Account Self-assessment. WEBIST 2020: 403-414 - [c45]Alaa Mohasseb, Benjamin Aziz, Andreas Kanavos:
SMS Spam Identification and Risk Assessment Evaluations. WEBIST 2020: 417-424
2010 – 2019
- 2019
- [j17]Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas:
A Weighted Voting Ensemble Self-Labeled Algorithm for the Detection of Lung Abnormalities from X-Rays. Algorithms 12(3): 64 (2019) - [j16]Elias Dritsas, Andreas Kanavos, Maria Trigka, Spyros Sioutas, Athanasios K. Tsakalidis:
Storage Efficient Trajectory Clustering and k-NN for Robust Privacy Preserving Spatio-Temporal Databases. Algorithms 12(12): 266 (2019) - [j15]Andreas Kanavos, Alexandros Georgiou, Christos Makris:
Estimating Twitter Influential Users by Using Cluster-Based Fusion Methods. Int. J. Artif. Intell. Tools 28(8): 1960010:1-1960010:26 (2019) - [c44]Elias Dritsas, Gerasimos Vonitsanos, Ioannis E. Livieris, Andreas Kanavos, Aristidis Ilias, Christos Makris, Athanasios K. Tsakalidis:
Pre-processing Framework for Twitter Sentiment Classification. AIAI (Workshops) 2019: 138-149 - [c43]Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Gerasimos Vonitsanos, Vassilis Tampakas:
Employing Constrained Neural Networks for Forecasting New Product's Sales Increase. AIAI (Workshops) 2019: 161-172 - [c42]Fotios Kounelis, Andreas Kanavos, Ioannis E. Livieris, Gerasimos Vonitsanos, Panagiotis E. Pintelas:
Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method. AIAI (Workshops) 2019: 232-241 - [c41]Nikolaos Ntaliakouras, Gerasimos Vonitsanos, Andreas Kanavos, Elias Dritsas:
An Apache Spark Methodology for Forecasting Tourism Demand in Greece. IISA 2019: 1-5 - [c40]Gerasimos Vonitsanos, Andreas Kanavos, Alaa Mohasseb, Dimitrios Tsolis:
A NoSQL Approach for Aspect Mining of Cultural Heritage Streaming Data. IISA 2019: 1-4 - [c39]Ioanna Kyriazidou, Georgios Drakopoulos, Andreas Kanavos, Christos Makris, Phivos Mylonas:
Towards Predicting Mentions to Verified Twitter Accounts: Building Prediction Models over MongoDB with Keras. WEBIST 2019: 25-33 - 2018
- [j14]Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas:
An Auto-Adjustable Semi-Supervised Self-Training Algorithm. Algorithms 11(9): 139 (2018) - [j13]Alkiviadis Savvopoulos, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas:
LSTM Accelerator for Convolutional Object Identification. Algorithms 11(10): 157 (2018) - [j12]Andreas Kanavos, Stavros Anastasios Iakovou, Spyros Sioutas, Vassilis Tampakas:
Large Scale Product Recommendation of Supermarket Ware Based on Customer Behaviour Analysis. Big Data Cogn. Comput. 2(2): 11 (2018) - [j11]Andreas Kanavos, Isidoros Perikos, Ioannis Hatzilygeroudis, Athanasios K. Tsakalidis:
Emotional community detection in social networks. Comput. Electr. Eng. 65: 449-460 (2018) - [j10]Ioannis E. Livieris, Niki Kiriakidou, Andreas Kanavos, Vassilis Tampakas, Panagiotis E. Pintelas:
On Ensemble SSL Algorithms for Credit Scoring Problem. Informatics 5(4): 40 (2018) - [j9]Ioannis E. Livieris, Andreas Kanavos, Vassilis Tampakas, Panayiotis E. Pintelas:
An Ensemble SSL Algorithm for Efficient Chest X-Ray Image Classification. J. Imaging 4(7): 95 (2018) - [c38]Alexandros Georgiou, Andreas Kanavos, Christos Makris:
Finding Influential Users in Twitter Using Cluster-Based Fusion Methods of Result Lists. AIAI 2018: 14-27 - [c37]Athanasios Alexopoulos, Andreas Kanavos, Konstantinos C. Giotopoulos, Alaa Mohasseb, Mohamed Bader-El-Den, Athanasios K. Tsakalidis:
Incremental Learning for Large Scale Classification Systems. AIAI (Workshops) 2018: 112-122 - [c36]Panagiotis Gourgaris, Andreas Kanavos, Nikos I. Karacapilidis, Vassilis Tampakas:
Argumentative Discourse Concepts as Revealed by Traversing a Graph. AIAI (Workshops) 2018: 123-132 - [c35]Ioannis E. Livieris, Andreas Kanavos, Gerasimos Vonitsanos, Niki Kiriakidou, Anastasios Vikatos, Konstantinos C. Giotopoulos, Vassilis Tampakas:
Performance Evaluation of an SSL Algorithm for Forecasting the Dow Jones Index Stocks. IISA 2018: 1-8 - [c34]Gerasimos Vonitsanos, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas:
A NoSQL Database Approach for Modeling Heterogeneous and Semi-Structured Information. IISA 2018: 1-8 - [c33]Ioannis Karydis, Andreas Kanavos, Spyros Sioutas, Markos Avlonitis, Nikos I. Karacapilidis:
LESIM: A Novel Lexical Similarity Measure Technique for Multimedia Information Retrieval. MCIS 2018: 31 - [c32]Dimitris Boussis, Elias Dritsas, Andreas Kanavos, Spyros Sioutas, Giannis Tzimas, Vassilios S. Verykios:
MapReduce Implementations for Privacy Preserving Record Linkage. SETN 2018: 16:1-16:4 - [c31]Ioannis E. Livieris, Andreas Kanavos, Panagiotis E. Pintelas:
Detecting Lung Abnormalities From X-rays Using an Improved SSL Algorithm. BRAINS/WS-AFFIN@AmI 2018: 19-33 - 2017
- [j8]Andreas Kanavos, Nikolaos Nodarakis, Spyros Sioutas, Athanasios K. Tsakalidis, Dimitrios Tsolis, Giannis Tzimas:
Large Scale Implementations for Twitter Sentiment Classification. Algorithms 10(1): 33 (2017) - [j7]Georgios Drakopoulos, Andreas Kanavos, Konstantinos Tsakalidis:
Fuzzy Random Walkers with Second Order Bounds: An Asymmetric Analysis. Algorithms 10(2): 40 (2017) - [j6]Aristidis G. Vrahatis, Konstantina Dimitrakopoulou, Andreas Kanavos, Spyros Sioutas, Athanasios K. Tsakalidis:
Detecting Perturbed Subpathways towards Mouse Lung Regeneration Following H1N1 Influenza Infection. Comput. 5(2): 20 (2017) - [j5]Georgios Drakopoulos, Andreas Kanavos, Ioannis Karydis, Spyros Sioutas, Aristidis G. Vrahatis:
Tensor-Based Semantically-Aware Topic Clustering of Biomedical Documents. Comput. 5(3): 34 (2017) - [j4]Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas:
Defining and evaluating Twitter influence metrics: a higher-order approach in Neo4j. Soc. Netw. Anal. Min. 7(1): 52:1-52:14 (2017) - [c30]Nickie Lefevr, Spiridoula V. Margariti, Andreas Kanavos, Athanasios K. Tsakalidis:
An Implementation of Disease Spreading over Biological Networks. EANN 2017: 559-569 - [c29]Eirini Chioti, Elias Dritsas, Andreas Kanavos, Xenophon Liapakis, Spyros Sioutas, Athanasios K. Tsakalidis:
Bloom Filters for Efficient Coupling Between Tables of a Database. EANN 2017: 596-608 - [c28]Georgios Drakopoulos, Andreas Kanavos, Phivos Mylonas, Spyros Sioutas, Dimitrios Tsolis:
Towards a framework for tensor ontologies over Neo4j: Representations and operations. IISA 2017: 1-6 - [c27]Angeliki Krania, Margarita Statiri, Andreas Kanavos, Athanasios K. Tsakalidis:
Internet of Things services for healthcare systems. IISA 2017: 1-6 - [c26]Alaa Mohasseb, Mohamed Bader-El-Den, Andreas Kanavos, Mihaela Cocea:
Web Queries Classification Based on the Syntactical Patterns of Search Types. SPECOM 2017: 809-819 - [c25]Andreas Kanavos, Georgios Drakopoulos, Athanasios K. Tsakalidis:
Graph Community Discovery Algorithms in Neo4j with a Regularization-based Evaluation Metric. WEBIST 2017: 403-410 - 2016
- [j3]Andreas Kanavos, Christos Makris, Yannis Plegas, Evangelos Theodoridis:
Ranking Web Search Results Exploiting Wikipedia. Int. J. Artif. Intell. Tools 25(3): 1650018:1-1650018:26 (2016) - [j2]Georgios Drakopoulos, Panagiotis Gourgaris, Andreas Kanavos, Christos Makris:
A Fuzzy Graph Framework for Initializing k-Means. Int. J. Artif. Intell. Tools 25(6): 1650031:1-1650031:21 (2016) - [c24]Alexandros Baltas, Andreas Kanavos, Athanasios K. Tsakalidis:
An Apache Spark Implementation for Sentiment Analysis on Twitter Data. ALGOCLOUD 2016: 15-25 - [c23]Spyros Sioutas, Phivos Mylonas, Alexandros Panaretos, Panagiotis Gerolymatos, Dimitrios Vogiatzis, Eleftherios Karavaras, Thomas Spitieris, Andreas Kanavos:
Survey of Machine Learning Algorithms on Spark Over DHT-based Structures. ALGOCLOUD 2016: 146-156 - [c22]Ioannis Karydis, Spyros Sioutas, Markos Avlonitis, Phivos Mylonas, Andreas Kanavos:
A Survey on Big Data and Collective Intelligence. ALGOCLOUD 2016: 169-181 - [c21]Stavros Anastasios Iakovou, Andreas Kanavos, Athanasios K. Tsakalidis:
Customer Behaviour Analysis for Recommendation of Supermarket Ware. AIAI 2016: 471-480 - [c20]Georgios Drakopoulos, Andreas Kanavos:
Tensor-based document retrieval over Neo4j with an application to PubMed mining. IISA 2016: 1-6 - [c19]Andreas Kanavos, Stellatos Metaxas, Athanasios K. Tsakalidis:
Weighting Public Mood via Microblogging Analysis. PCI 2016: 45 - [c18]Georgios Drakopoulos, Andreas Kanavos, Athanasios K. Tsakalidis:
A Neo4j Implementation of Fuzzy Random Walkers. SETN 2016: 9:1-9:8 - [c17]George Volis, Christos Makris, Andreas Kanavos:
Two Novel Techniques for Space Compaction on Biological Sequences. WEBIST (1) 2016: 105-112 - [c16]Georgios Drakopoulos, Andreas Kanavos, Athanasios K. Tsakalidis:
Evaluating Twitter Influence Ranking with System Theory. WEBIST (1) 2016: 113-120 - [c15]Andreas Kanavos, Isidoros Perikos, Ioannis Hatzilygeroudis, Athanasios K. Tsakalidis:
Integrating User's Emotional Behavior for Community Detection in Social Networks. WEBIST (1) 2016: 355-362 - 2015
- [j1]Andreas Kanavos, Christos Makris, Evangelos Theodoridis:
Topic Categorization of Biomedical Abstracts. Int. J. Artif. Intell. Tools 24(1): 1540004:1-1540004:22 (2015) - [c14]Andreas Kanavos, Eleanna Kafeza, Christos Makris:
Can We Rank Emotions? A Brand Love Ranking System for Emotional Terms. BigData Congress 2015: 71-78 - [c13]Velissarios Zamparas, Andreas Kanavos, Christos Makris:
Real Time Analytics for Measuring User Influence on Twitter. ICTAI 2015: 591-597 - [c12]Andreas Kanavos, Isidoros Perikos:
Towards detecting emotional communities in Twitter. RCIS 2015: 524-525 - [c11]Panagiotis Gourgaris, Andreas Kanavos, Christos Makris, Georgios Perrakis:
Review-based Entity-ranking Refinement. WEBIST 2015: 402-410 - 2014
- [c10]Eleanna Kafeza, Andreas Kanavos, Christos Makris, Pantelis Vikatos:
T-PICE: Twitter Personality Based Influential Communities Extraction System. BigData Congress 2014: 212-219 - [c9]Andreas Kanavos, Evangelos Theodoridis, Athanasios K. Tsakalidis:
A PubMed Meta Search Engine Based on Biomedical Entity Mining. DEXA Workshops 2014: 82-86 - [c8]Andreas Kanavos, Isidoros Perikos, Pantelis Vikatos, Ioannis Hatzilygeroudis, Christos Makris, Athanasios K. Tsakalidis:
Conversation Emotional Modeling in Social Networks. ICTAI 2014: 478-484 - [c7]Eleanna Kafeza, Andreas Kanavos, Christos Makris, Pantelis Vikatos:
Predicting Information Diffusion Patterns in Twitter. AIAI 2014: 79-89 - [c6]Andreas Kanavos, Isidoros Perikos, Pantelis Vikatos, Ioannis Hatzilygeroudis, Christos Makris, Athanasios K. Tsakalidis:
Modeling ReTweet Diffusion Using Emotional Content. AIAI 2014: 101-110 - [c5]Klev Diamanti, Andreas Kanavos, Christos Makris, Thodoris Tokis:
Handling Weighted Sequences Employing Inverted Files and Suffix Trees. WEBIST (2) 2014: 231-238 - 2013
- [c4]Andreas Kanavos, Christos Makris, Yannis Plegas, Evangelos Theodoridis:
Extracting Knowledge from Web Search Engine Using Wikipedia. EANN (2) 2013: 100-109 - [c3]Eleanna Kafeza, Andreas Kanavos, Christos Makris, Dickson K. W. Chiu:
Identifying Personality-Based Communities in Social Networks. ER Workshops 2013: 7-13 - 2012
- [c2]Andreas Kanavos, Evangelos Theodoridis, Athanasios K. Tsakalidis:
Extracting Knowledge from Web Search Engine Results. ICTAI 2012: 860-867 - [c1]Andreas Kanavos, Christos Makris, Evangelos Theodoridis:
On Topic Categorization of PubMed Query Results. AIAI (2) 2012: 556-565
Coauthor Index
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