Magdalini Eirinaki

According to our database, Magdalini Eirinaki authored at least 68 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems.

Derek Lilienthal, Paul Mello, Magdalini Eirinaki, Stas Tiomkin

CoRR, 2023

Using Graph Neural Networks for Social Recommendations.

Dharahas Tallapally, John Wang, Katerina Potika, Magdalini Eirinaki

Algorithms, 2023

A Curriculum Framework for Autonomous Network Defense using Multi-agent Reinforcement Learning.

Robert G. Campbell, Magdalini Eirinaki, Younghee Park

Proceedings of the Silicon Valley Cybersecurity Conference, 2023

Distress Signal Recognition Using Pose Estimation and Neural Networks.

Palash Shankar Bhusari, Shreya Nagaraddy Hunur, Ravi Kumar Tanti, Saurabh Ramesh Warathe, Magdalini Eirinaki

Proceedings of the 11th IEEE International Conference on Mobile Cloud Computing, 2023

Prompt Recommendations for AI Art.

Hyelim Yang, Kapil Wanaskar, Harshika Shrivastava, Shahbaz Mansahia, Shakshi Richhariya, Magdalini Eirinaki

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.

Magdalini Eirinaki, Iraklis Varlamis, Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare

Frontiers Big Data, 2022

Blockchain-based recommender systems: Applications, challenges and future opportunities.

Yassine Himeur, Aya Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos

Comput. Sci. Rev., 2022

Original Music Generation using Recurrent Neural Networks with Self-Attention.

Akash Jagannathan, Bharathi Chandrasekaran, Shubham Dutta, Uma Rameshgouda Patil, Magdalini Eirinaki

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2022

2021

Viva: A Virtual Assistant for the Visually Impaired.

Zeeshan Ahmed Pachodiwale, Yugeshwari Brahmankar, Neha Parakh, Dhruvil Patel, Magdalini Eirinaki

Proceedings of the Universal Access in Human-Computer Interaction. Design Methods and User Experience, 2021

Deepfake Detection using GAN Discriminators.

Sai Ashrith Aduwala, Manish Arigala, Shivan Desai, Heng Jerry Quan, Magdalini Eirinaki

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.

Junlan Lu, Magdalini Eirinaki

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Reducing energy waste in households through real-time recommendations.

Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare, Magdalini Eirinaki, Iraklis Varlamis

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

CollegeBot: A Conversational AI Approach to Help Students Navigate College.

Mohinish Daswani, Kavina Desai, Mili Patel, Reeya Vani, Magdalini Eirinaki

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.

Abhishek Singh, Niraj Dharamshi, Preethi Thimma Govarthanarajan, Premal Dattatray Samale, Magdalini Eirinaki

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.

Amit Garg, Nachiket Trivedi, Junlan Lu, Magdalini Eirinaki, Bin Yu, Femi G. Olumofin

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.

Deepak Talwar, Sachin Guruswamy, Naveen Ravipati, Magdalini Eirinaki

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2020

2019

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

Magdalini Eirinaki, Jerry Gao, Latifur Khan, Sourav Mazumder, Katerina Potika

Big Data Res., 2019

With a Little Help from My Friends (and Their Friends): Influence Neighborhoods for Social Recommendations.

Avni Gulati, Magdalini Eirinaki

Proceedings of the World Wide Web Conference, 2019

The effect of global and local influence models on the quality of recommendations.

Nikolaos Mantas, Malamati D. Louta, Magdalini Eirinaki, Iraklis Varlamis, George T. Karetsos

Proceedings of the 2019 Summer Simulation Conference, 2019

Exploratory data analysis and crime prediction for smart cities.

Isha Pradhan, Katerina Potika, Magdalini Eirinaki, Petros Potikas

Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019

A Graph-Based Recommender System for Food Products.

Arpit Mathur, Sai Kumar Juguru, Magdalini Eirinaki

Proceedings of the First International Conference on Graph Computing, 2019

A SERP-Mining Approach for Classification of DNS Requests.

Junlan Lu, Nikhil Takappa Saunshi, Aldrich Mangune, Magdalini Eirinaki, Bin Yu, Cricket Liu

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.

Magdalini Eirinaki, Subhankar Dhar, Shishir Mathur, Adwait Kaley, Arpit Patel, Akshar Joshi, Dhvani Shah

Comput. Environ. Urban Syst., 2018

Social recommendations for personalized fitness assistance.

Saumil Dharia, Magdalini Eirinaki, Vijesh Jain, Jvalant Patel, Iraklis Varlamis, Jainikkumar Vora, Rizen Yamauchi

Pers. Ubiquitous Comput., 2018

Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions.

Magdalini Eirinaki, Jerry Gao, Iraklis Varlamis, Konstantinos Tserpes

Future Gener. Comput. Syst., 2018

Influence Propagation for Social Graph-based Recommendations.

Avni Gulati, Magdalini Eirinaki

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.

Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco

New Gener. Comput., 2017

Scaling Collaborative Filtering to Large-Scale Bipartite Rating Graphs Using Lenskit and Spark.

Christos Sardianos, Iraklis Varlamis, Magdalini Eirinaki

Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

CaPaR: A Career Path Recommendation Framework.

Bharat Patel, Varun Kakuste, Magdalini Eirinaki

Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

A Deep Learning Framework for Smart Street Cleaning.

Chandni Balchandani, Rakshith Koravadi Hatwar, Parteek Makkar, Yanki Shah, Pooja Yelure, Magdalini Eirinaki

Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

2016

PRO-Fit: A personalized fitness assistant framework.

Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Shaurya Chawla, Magdalini Eirinaki

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

A cloud-based framework for smart permit system for buildings.

Magdalini Eirinaki, Subhankar Dhar, Shishir Mathur

Proceedings of the IEEE International Smart Cities Conference, 2016

Time-Based Ensembles for Prediction of Rare Events in News Stream.

Nuno Moniz, Luís Torgo, Magdalini Eirinaki

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks.

Magdalini Eirinaki, Nuno Moniz, Katerina Potika

Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

PRO-Fit: Exercise with friends.

Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Rizen Yamauchi, Magdalini Eirinaki, Iraklis Varlamis

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.

Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

QueRIE reloaded: Using matrix factorization to improve database query recommendations.

Magdalini Eirinaki, Sweta Patel

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.

Dimitris Proios, Magdalini Eirinaki, Iraklis Varlamis

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.

Magdalini Eirinaki, Malamati D. Louta, Iraklis Varlamis

IEEE Trans. Syst. Man Cybern. Syst., 2014

QueRIE: Collaborative Database Exploration.

Magdalini Eirinaki, Suju Abraham, Neoklis Polyzotis, Naushin Shaikh

IEEE Trans. Knowl. Data Eng., 2014

Classification of movement data concerning user's activity recognition via mobile phones.

Spiridoula Tragopoulou, Iraklis Varlamis, Magdalini Eirinaki

Proceedings of the 4th International Conference on Web Intelligence, 2014

Using Social Data for Personalizing Review Rankings.

Vaishak Suresh, Syeda Roohi, Magdalini Eirinaki, Iraklis Varlamis

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.

Vaishak Suresh, Syeda Roohi, Magdalini Eirinaki

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.

Iraklis Varlamis, Magdalini Eirinaki, Malamati D. Louta

Proceedings of the Influence of Technology on Social Network Analysis and Mining, 2013

2012

Feature-based opinion mining and ranking.

Magdalini Eirinaki, Shamita Pisal, Japinder Singh

J. Comput. Syst. Sci., 2012

Identification of influential social networkers.

Magdalini Eirinaki, Sumit Pal Singh Monga, Shreedhar Sundaram

Int. J. Web Based Communities, 2012

A Mobile Application for Stock Market Prediction Using Sentiment Analysis.

Kushal Jangid, Pratik Paul, Magdalini Eirinaki

Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012

2011

The QueRIE system for Personalized Query Recommendations.

Gloria Chatzopoulou, Magdalini Eirinaki, Suju Koshy, Sarika Mittal, Neoklis Polyzotis, Jothi Swarubini Vindhiya Varman

IEEE Data Eng. Bull., 2011

Negative Database for Data Security

Anup Patel, Niveeta Sharma, Magdalini Eirinaki

CoRR, 2011

A Personalized Forum Environment.

Anna Stavrianou, Magdalini Eirinaki

Proceedings of the WEBIST 2011, 2011

AskUs: An Opinion Search Engine.

Shamita Pisal, Japinder Singh, Magdalini Eirinaki

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

SQL QueRIE Recommendations.

Javad Akbarnejad, Gloria Chatzopoulou, Magdalini Eirinaki, Suju Koshy, Sarika Mittal, Duc On, Neoklis Polyzotis, Jothi Swarubini Vindhiya Varman

Proc. VLDB Endow., 2010

Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies.

Panagiotis Giannikopoulos, Iraklis Varlamis, Magdalini Eirinaki

Int. J. Data Warehous. Min., 2010

QueRIE: A Query Recommender System Supporting Interactive Database Exploration.

Sarika Mittal, Jothi Swarubini Vindhiya Varman, Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis Polyzotis

Proceedings of the ICDMW 2010, 2010

A Study on Social Network Metrics and Their Application in Trust Networks.

Iraklis Varlamis, Magdalini Eirinaki, Malamati D. Louta

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009

Query Recommendations for Interactive Database Exploration.

Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis Polyzotis

Proceedings of the Scientific and Statistical Database Management, 2009

2008

Boosting the ranking function learning process using clustering.

Giorgos Giannopoulos, Theodore Dalamagas, Magdalini Eirinaki, Timos K. Sellis

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.

Magdalini Eirinaki, Michalis Vazirgiannis

ACM Trans. Internet Techn., 2007

Mining user navigation patterns for personalizing topic directories.

Theodore Dalamagas, Panagiotis Bouros, Theodore Galanis, Magdalini Eirinaki, Timos K. Sellis

Proceedings of the 9th ACM International Workshop on Web Information and Data Management (WIDM 2007), 2007

2006

Καινοτομικές προσεγγίσεις για εξατομίκευση στον παγκόσμιο ιστό

Magdalini Eirinaki

PhD thesis, 2006

2005

Web path recommendations based on page ranking and Markov models.

Magdalini Eirinaki, Michalis Vazirgiannis, Dimitris Kapogiannis

Proceedings of the Seventh ACM International Workshop on Web Information and Data Management (WIDM 2005), 2005

Usage-Based PageRank for Web Personalization.

Magdalini Eirinaki, Michalis Vazirgiannis

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Introducing Semantics in Web Personalization: The Role of Ontologies.

Magdalini Eirinaki, Dimitrios Mavroeidis, George Tsatsaronis, Michalis Vazirgiannis

Proceedings of the Semantics, Web and Mining, Joint International Workshops, 2005

2004

Web personalization integrating content semantics and navigational patterns.

Magdalini Eirinaki, Charalampos Lampos, Stratos Paulakis, Michalis Vazirgiannis

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.

Stratos Paulakis, Charalampos Lampos, Magdalini Eirinaki, Michalis Vazirgiannis

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

2003

Web mining for web personalization.

Magdalini Eirinaki, Michalis Vazirgiannis

ACM Trans. Internet Techn., 2003

SEWeP: using site semantics and a taxonomy to enhance the Web personalization process.

Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis Varlamis

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.

Magdalini Eirinaki, Joannis Vlachakis, Sarabjot S. Anand

Proceedings of the Intelligent Techniques for Web Personalization, IJCAI 2003 Workshop, 2003