Magdalini Eirinaki

Orcid: 0000-0002-4711-3366

Affiliations:
  • San José State University, Department of Computer Engineering, CA, USA
  • Athens University Economics and Business, Greece (PhD 2006)


According to our database1, Magdalini Eirinaki authored at least 69 papers between 2003 and 2024.

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Bibliography

2024
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems.
IEEE Access, 2024

Scalable and Autonomous Network Defense Using Reinforcement Learning.
IEEE Access, 2024

2023
Using Graph Neural Networks for Social Recommendations.
Algorithms, 2023

A Curriculum Framework for Autonomous Network Defense using Multi-agent Reinforcement Learning.
Proceedings of the Silicon Valley Cybersecurity Conference, 2023

Distress Signal Recognition Using Pose Estimation and Neural Networks.
Proceedings of the 11th IEEE International Conference on Mobile Cloud Computing, 2023

Prompt Recommendations for AI Art.
Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

2022
Real-time recommendations for energy-efficient appliance usage in households.
Frontiers Big Data, 2022

Blockchain-based recommender systems: Applications, challenges and future opportunities.
Comput. Sci. Rev., 2022

Original Music Generation using Recurrent Neural Networks with Self-Attention.
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2022

2021
Viva: A Virtual Assistant for the Visually Impaired.
Proceedings of the Universal Access in Human-Computer Interaction. Design Methods and User Experience, 2021

Deepfake Detection using GAN Discriminators.
Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021

Can a machine win a Grammy? An evaluation of AI-generated song lyrics.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Reducing energy waste in households through real-time recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

CollegeBot: A Conversational AI Approach to Help Students Navigate College.
Proceedings of the HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence, 2020

The Tipping Point In Social Networks: Investigating the Mechanism Behind Viral Information Spreading.
Proceedings of the 6th IEEE International Conference on Big Data Computing Service and Applications, 2020

An evaluation of machine learning methods for domain name classification.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Evaluating Validity of Synthetic Data in Perception Tasks for Autonomous Vehicles.
Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2020

2019
Editorial for Special Issue on "Big Data and Smart Cities".
Big Data Res., 2019

With a Little Help from My Friends (and Their Friends): Influence Neighborhoods for Social Recommendations.
Proceedings of the World Wide Web Conference, 2019

The effect of global and local influence models on the quality of recommendations.
Proceedings of the 2019 Summer Simulation Conference, 2019

Exploratory data analysis and crime prediction for smart cities.
Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019

A Graph-Based Recommender System for Food Products.
Proceedings of the First International Conference on Graph Computing, 2019

A SERP-Mining Approach for Classification of DNS Requests.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
A building permit system for smart cities: A cloud-based framework.
Comput. Environ. Urban Syst., 2018

Social recommendations for personalized fitness assistance.
Pers. Ubiquitous Comput., 2018

Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions.
Future Gener. Comput. Syst., 2018

Influence Propagation for Social Graph-based Recommendations.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
A Framework for Recommendation of Highly Popular News Lacking Social Feedback.
New Gener. Comput., 2017

Scaling Collaborative Filtering to Large-Scale Bipartite Rating Graphs Using Lenskit and Spark.
Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

CaPaR: A Career Path Recommendation Framework.
Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

A Deep Learning Framework for Smart Street Cleaning.
Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

2016
PRO-Fit: A personalized fitness assistant framework.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

A cloud-based framework for smart permit system for buildings.
Proceedings of the IEEE International Smart Cities Conference, 2016

Time-Based Ensembles for Prediction of Rare Events in News Stream.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

PRO-Fit: Exercise with friends.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

QueRIE reloaded: Using matrix factorization to improve database query recommendations.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

TipMe: Personalized advertising and aspect-based opinion mining for users and businesses.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
A Trust-Aware System for Personalized User Recommendations in Social Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2014

QueRIE: Collaborative Database Exploration.
IEEE Trans. Knowl. Data Eng., 2014

Classification of movement data concerning user's activity recognition via mobile phones.
Proceedings of the 4th International Conference on Web Intelligence, 2014

Using Social Data for Personalizing Review Rankings.
Proceedings of the 6th Workshop on Recommender Systems and the Social Web (RSWeb 2014) co-located with the 8th ACM Conference on Recommender Systems (RecSys 2014), 2014

Aspect-based opinion mining and recommendationsystem for restaurant reviews.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013
Application of Social Network Metrics to a Trust-Aware Collaborative Model for Generating Personalized User Recommendations.
Proceedings of the Influence of Technology on Social Network Analysis and Mining, 2013

2012
Feature-based opinion mining and ranking.
J. Comput. Syst. Sci., 2012

Identification of influential social networkers.
Int. J. Web Based Communities, 2012

A Mobile Application for Stock Market Prediction Using Sentiment Analysis.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012

2011
The QueRIE system for Personalized Query Recommendations.
IEEE Data Eng. Bull., 2011

Negative Database for Data Security
CoRR, 2011

A Personalized Forum Environment.
Proceedings of the WEBIST 2011, 2011

AskUs: An Opinion Search Engine.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
SQL QueRIE Recommendations.
Proc. VLDB Endow., 2010

Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies.
Int. J. Data Warehous. Min., 2010

QueRIE: A Query Recommender System Supporting Interactive Database Exploration.
Proceedings of the ICDMW 2010, 2010

A Study on Social Network Metrics and Their Application in Trust Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
Query Recommendations for Interactive Database Exploration.
Proceedings of the Scientific and Statistical Database Management, 2009

2008
Boosting the ranking function learning process using clustering.
Proceedings of the 10th ACM International Workshop on Web Information and Data Management (WIDM 2008), 2008

2007
Web site personalization based on link analysis and navigational patterns.
ACM Trans. Internet Techn., 2007

Mining user navigation patterns for personalizing topic directories.
Proceedings of the 9th ACM International Workshop on Web Information and Data Management (WIDM 2007), 2007

2006
Καινοτομικές προσεγγίσεις για εξατομίκευση στον παγκόσμιο ιστό
PhD thesis, 2006

2005
Web path recommendations based on page ranking and Markov models.
Proceedings of the Seventh ACM International Workshop on Web Information and Data Management (WIDM 2005), 2005

Usage-Based PageRank for Web Personalization.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Introducing Semantics in Web Personalization: The Role of Ontologies.
Proceedings of the Semantics, Web and Mining, Joint International Workshops, 2005

2004
Web personalization integrating content semantics and navigational patterns.
Proceedings of the Sixth ACM CIKM International Workshop on Web Information and Data Management (WIDM 2004), 2004

SEWeP: A Web Mining System Supporting Semantic Personalization.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

2003
Web mining for web personalization.
ACM Trans. Internet Techn., 2003

SEWeP: using site semantics and a taxonomy to enhance the Web personalization process.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior.
Proceedings of the Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, 2003


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