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ORCIDMagdalini Eirinaki
2020 – today
- 2024
[j19]Derek Lilienthal
, Paul Mello, Magdalini Eirinaki, Stas Tiomkin:
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems. IEEE Access 12: 58275-58287 (2024)- [j18]Robert G. Campbell, Magdalini Eirinaki, Younghee Park:
Scalable and Autonomous Network Defense Using Reinforcement Learning. IEEE Access 12: 92919-92930 (2024) - [c49]Ketan Malempati, Pruthvi Raj Kotigari, Kandukuri Sai Teja, Magdalini Eirinaki:
Federated Learning on Recommender Systems. IEEE Big Data 2024: 7085-7094 - 2023
- [j17]Dharahas Tallapally, John Wang, Katerina Potika, Magdalini Eirinaki:
Using Graph Neural Networks for Social Recommendations. Algorithms 16(11): 515 (2023) - [c48]Hyelim Yang, Kapil Wanaskar, Harshika Shrivastava, Shahbaz Mansahia, Shakshi Richhariya, Magdalini Eirinaki:
Prompt Recommendations for AI Art. AIKE 2023: 62-65 - [c47]Palash Shankar Bhusari, Shreya Nagaraddy Hunur, Ravi Kumar Tanti, Saurabh Ramesh Warathe, Magdalini Eirinaki:
Distress Signal Recognition Using Pose Estimation and Neural Networks. MobileCloud 2023: 25-32 - [c46]Robert G. Campbell, Magdalini Eirinaki, Younghee Park:
A Curriculum Framework for Autonomous Network Defense using Multi-agent Reinforcement Learning. SVCC 2023: 1-8 - [e1]Marco Pegoraro, Davide Bacciu, Andrea Burattin, Antonio Carta, Patrizio Dazzi, Massimiliano de Leoni, Magdalini Eirinaki, Iraklis Varlamis:
Joint Proceedings of the 1st International Workshop on Computational Intelligence for Process Mining (CI4PM 2022) and the 1st International Workshop on Pervasive Artificial Intelligence (PAI 2022), co-located with the IEEE World Congress on Computational Intelligence (WCCI 2022), Padua, Italy, July 18-23, 2022., Padua, Italy, July 18-23, 2022. CEUR Workshop Proceedings 3350, CEUR-WS.org 2023 [contents] - [i3]Derek Lilienthal, Paul Mello, Magdalini Eirinaki, Stas Tiomkin:
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems. CoRR abs/2311.03488 (2023) - 2022
- [j16]Yassine Himeur, Aya Nabil Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos:
Blockchain-based recommender systems: Applications, challenges and future opportunities. Comput. Sci. Rev. 43: 100439 (2022) - [j15]Magdalini Eirinaki, Iraklis Varlamis, Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare:
Real-time recommendations for energy-efficient appliance usage in households. Frontiers Big Data 5 (2022) - [c45]Akash Jagannathan, Bharathi Chandrasekaran, Shubham Dutta, Uma Rameshgouda Patil, Magdalini Eirinaki:
Original Music Generation using Recurrent Neural Networks with Self-Attention. AITest 2022: 56-63 - 2021
- [c44]Junlan Lu, Magdalini Eirinaki:
Can a machine win a Grammy? An evaluation of AI-generated song lyrics. IEEE BigData 2021: 4896-4905 - [c43]Sai Ashrith Aduwala, Manish Arigala, Shivan Desai, Heng Jerry Quan, Magdalini Eirinaki:
Deepfake Detection using GAN Discriminators. BigDataService 2021: 69-77 - [c42]Zeeshan Ahmed Pachodiwale, Yugeshwari Brahmankar, Neha Parakh, Dhruvil Patel, Magdalini Eirinaki:
Viva: A Virtual Assistant for the Visually Impaired. HCI (7) 2021: 444-460 - [i2]Yassine Himeur, Aya Nabil Sayed, Abdullah Alsalemi, Faycal Bensaali, Abbes Amira, Iraklis Varlamis, Magdalini Eirinaki, Christos Sardianos, George Dimitrakopoulos:
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities. CoRR abs/2111.11509 (2021) - 2020
- [c41]Deepak Talwar, Sachin Guruswamy, Naveen Ravipati, Magdalini Eirinaki:
Evaluating Validity of Synthetic Data in Perception Tasks for Autonomous Vehicles. AITest 2020: 73-80 - [c40]Amit Garg, Nachiket Trivedi, Junlan Lu, Magdalini Eirinaki, Bin Yu, Femi G. Olumofin:
An evaluation of machine learning methods for domain name classification. IEEE BigData 2020: 4577-4585 - [c39]Abhishek Singh, Niraj Dharamshi, Preethi Thimma Govarthanarajan, Premal Dattatray Samale, Magdalini Eirinaki:
The Tipping Point In Social Networks: Investigating the Mechanism Behind Viral Information Spreading. BigDataService 2020: 54-61 - [c38]Mohinish Daswani, Kavina Desai, Mili Patel, Reeya Vani, Magdalini Eirinaki:
CollegeBot: A Conversational AI Approach to Help Students Navigate College. HCI (42) 2020: 44-63 - [c37]Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare, Magdalini Eirinaki, Iraklis Varlamis:
Reducing energy waste in households through real-time recommendations. RecSys 2020: 545-550
2010 – 2019
- 2019
- [j14]Magdalini Eirinaki, Jerry Gao, Latifur Khan, Sourav Mazumder, Katerina Potika:
Editorial for Special Issue on "Big Data and Smart Cities". Big Data Res. 17: 33-34 (2019) - [c36]Junlan Lu, Nikhil Takappa Saunshi, Aldrich Mangune, Magdalini Eirinaki, Bin Yu, Cricket Liu:
A SERP-Mining Approach for Classification of DNS Requests. IEEE BigData 2019: 2364-2372 - [c35]Arpit Mathur, Sai Kumar Juguru, Magdalini Eirinaki:
A Graph-Based Recommender System for Food Products. GC 2019: 83-87 - [c34]Isha Pradhan, Katerina Potika, Magdalini Eirinaki, Petros Potikas:
Exploratory data analysis and crime prediction for smart cities. IDEAS 2019: 4:1-4:9 - [c33]Nikolaos Mantas, Malamati D. Louta, Magdalini Eirinaki, Iraklis Varlamis, George T. Karetsos:
The effect of global and local influence models on the quality of recommendations. SummerSim 2019: 61:1-61:8 - [c32]Nikolaos Mantas, Malamati D. Louta, Magdalini Eirinaki, Iraklis Varlamis, George T. Karetsos:
The effect of global and local influence models on the quality of recommendations. SPECTS 2019: 1-8 - [c31]Avni Gulati, Magdalini Eirinaki:
With a Little Help from My Friends (and Their Friends): Influence Neighborhoods for Social Recommendations. WWW 2019: 2778-2784 - 2018
- [j13]Magdalini Eirinaki, Jerry Gao, Iraklis Varlamis, Konstantinos Tserpes:
Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions. Future Gener. Comput. Syst. 78: 413-418 (2018) - [j12]Saumil Dharia, Magdalini Eirinaki, Vijesh Jain, Jvalant Patel, Iraklis Varlamis, Jainikkumar Vora, Rizen Yamauchi:
Social recommendations for personalized fitness assistance. Pers. Ubiquitous Comput. 22(2): 245-257 (2018) - [j11]Magdalini Eirinaki, Subhankar Dhar, Shishir Mathur, Adwait Kaley, Arpit Patel, Akshar Joshi, Dhvani Shah:
A building permit system for smart cities: A cloud-based framework. Comput. Environ. Urban Syst. 70: 175-188 (2018) - [c30]Avni Gulati, Magdalini Eirinaki:
Influence Propagation for Social Graph-based Recommendations. IEEE BigData 2018: 2180-2189 - 2017
- [j10]Nuno Moniz, Luís Torgo, Magdalini Eirinaki, Paula Branco:
A Framework for Recommendation of Highly Popular News Lacking Social Feedback. New Gener. Comput. 35(4): 417-450 (2017) - [c29]Bharat Patel, Varun Kakuste, Magdalini Eirinaki:
CaPaR: A Career Path Recommendation Framework. BigDataService 2017: 23-30 - [c28]Christos Sardianos, Iraklis Varlamis, Magdalini Eirinaki:
Scaling Collaborative Filtering to Large-Scale Bipartite Rating Graphs Using Lenskit and Spark. BigDataService 2017: 70-79 - [c27]Chandni Balchandani, Rakshith Koravadi Hatwar, Parteek Makkar, Yanki Shah, Pooja Yelure, Magdalini Eirinaki:
A Deep Learning Framework for Smart Street Cleaning. BigDataService 2017: 112-117 - 2016
- [c26]Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Rizen Yamauchi, Magdalini Eirinaki, Iraklis Varlamis:
PRO-Fit: Exercise with friends. ASONAM 2016: 1430-1433 - [c25]Magdalini Eirinaki, Nuno Moniz, Katerina Potika:
Threshold-Bounded Influence Dominating Sets for Recommendations in Social Networks. BDCloud-SocialCom-SustainCom 2016: 408-415 - [c24]Nuno Moniz, Luís Torgo, Magdalini Eirinaki:
Time-Based Ensembles for Prediction of Rare Events in News Stream. ICDM Workshops 2016: 1066-1073 - [c23]Magdalini Eirinaki, Subhankar Dhar, Shishir Mathur:
A cloud-based framework for smart permit system for buildings. ISC2 2016: 1-4 - [c22]Saumil Dharia, Vijesh Jain, Jvalant Patel, Jainikkumar Vora, Shaurya Chawla, Magdalini Eirinaki:
PRO-Fit: A personalized fitness assistant framework. SEKE 2016: 386-389 - 2015
- [c21]Dimitris Proios, Magdalini Eirinaki, Iraklis Varlamis:
TipMe: Personalized advertising and aspect-based opinion mining for users and businesses. ASONAM 2015: 1489-1494 - [c20]Magdalini Eirinaki, Sweta Patel:
QueRIE reloaded: Using matrix factorization to improve database query recommendations. IEEE BigData 2015: 1500-1508 - [c19]Pigi Kouki, Shobeir Fakhraei, James R. Foulds, Magdalini Eirinaki, Lise Getoor:
HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems. RecSys 2015: 99-106 - 2014
- [j9]Magdalini Eirinaki, Suju Abraham, Neoklis Polyzotis, Naushin Shaikh:
QueRIE: Collaborative Database Exploration. IEEE Trans. Knowl. Data Eng. 26(7): 1778-1790 (2014) - [j8]Magdalini Eirinaki, Malamati D. Louta, Iraklis Varlamis:
A Trust-Aware System for Personalized User Recommendations in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. 44(4): 409-421 (2014) - [c18]Vaishak Suresh, Syeda Roohi, Magdalini Eirinaki:
Aspect-based opinion mining and recommendationsystem for restaurant reviews. RecSys 2014: 361-362 - [c17]Vaishak Suresh, Syeda Roohi, Magdalini Eirinaki, Iraklis Varlamis:
Using Social Data for Personalizing Review Rankings. RSWeb@RecSys 2014 - [c16]Spiridoula Tragopoulou, Iraklis Varlamis, Magdalini Eirinaki:
Classification of movement data concerning user's activity recognition via mobile phones. WIMS 2014: 42:1-42:6 - 2013
- [p1]Iraklis Varlamis, Magdalini Eirinaki, Malamati D. Louta:
Application of Social Network Metrics to a Trust-Aware Collaborative Model for Generating Personalized User Recommendations. The Influence of Technology on Social Network Analysis and Mining 2013: 49-74 - 2012
- [j7]Magdalini Eirinaki, Sumit Pal Singh Monga, Shreedhar Sundaram:
Identification of influential social networkers. Int. J. Web Based Communities 8(2): 136-158 (2012) - [j6]Magdalini Eirinaki, Shamita Pisal, Japinder Singh:
Feature-based opinion mining and ranking. J. Comput. Syst. Sci. 78(4): 1175-1184 (2012) - [c15]Kushal Jangid, Pratik Paul, Magdalini Eirinaki:
A Mobile Application for Stock Market Prediction Using Sentiment Analysis. SEKE 2012: 13-18 - 2011
- [j5]Gloria Chatzopoulou, Magdalini Eirinaki, Suju Koshy, Sarika Mittal, Neoklis Polyzotis, Jothi Swarubini Vindhiya Varman:
The QueRIE system for Personalized Query Recommendations. IEEE Data Eng. Bull. 34(2): 55-60 (2011) - [c14]Shamita Pisal, Japinder Singh, Magdalini Eirinaki:
AskUs: An Opinion Search Engine. ICDM Workshops 2011: 1243-1246 - [c13]Anna Stavrianou, Magdalini Eirinaki:
A Personalized Forum Environment. WEBIST 2011: 360-365 - [i1]Anup Patel, Niveeta Sharma, Magdalini Eirinaki:
Negative Database for Data Security. CoRR abs/1105.0049 (2011) - 2010
- [j4]Panagiotis Giannikopoulos, Iraklis Varlamis, Magdalini Eirinaki:
Mining Frequent Generalized Patterns for Web Personalization in the Presence of Taxonomies. Int. J. Data Warehous. Min. 6(1): 58-76 (2010) - [j3]Javad Akbarnejad, Gloria Chatzopoulou, Magdalini Eirinaki, Suju Koshy, Sarika Mittal, Duc On, Neoklis Polyzotis, Jothi Swarubini Vindhiya Varman:
SQL QueRIE Recommendations. Proc. VLDB Endow. 3(2): 1597-1600 (2010) - [c12]Iraklis Varlamis, Magdalini Eirinaki, Malamati D. Louta:
A Study on Social Network Metrics and Their Application in Trust Networks. ASONAM 2010: 168-175 - [c11]Sarika Mittal, Jothi Swarubini Vindhiya Varman, Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis Polyzotis:
QueRIE: A Query Recommender System Supporting Interactive Database Exploration. ICDM Workshops 2010: 1411-1414
2000 – 2009
- 2009
- [c10]Gloria Chatzopoulou, Magdalini Eirinaki, Neoklis Polyzotis:
Query Recommendations for Interactive Database Exploration. SSDBM 2009: 3-18 - 2008
- [c9]Giorgos Giannopoulos, Theodore Dalamagas, Magdalini Eirinaki, Timos K. Sellis:
Boosting the ranking function learning process using clustering. WIDM 2008: 125-132 - 2007
- [j2]Magdalini Eirinaki, Michalis Vazirgiannis:
Web site personalization based on link analysis and navigational patterns. ACM Trans. Internet Techn. 7(4): 21 (2007) - [c8]Theodore Dalamagas, Panagiotis Bouros, Theodore Galanis, Magdalini Eirinaki, Timos K. Sellis:
Mining user navigation patterns for personalizing topic directories. WIDM 2007: 81-88 - 2006
- [b1]Magdalini Eirinaki:
Καινοτομικές προσεγγίσεις για εξατομίκευση στον παγκόσμιο ιστό. Athens University Economics and Business, Greece, 2006 - 2005
- [c7]Magdalini Eirinaki, Dimitrios Mavroeidis, George Tsatsaronis, Michalis Vazirgiannis:
Introducing Semantics in Web Personalization: The Role of Ontologies. EWMF/KDO 2005: 147-162 - [c6]Magdalini Eirinaki, Michalis Vazirgiannis:
Usage-Based PageRank for Web Personalization. ICDM 2005: 130-137 - [c5]Magdalini Eirinaki, Michalis Vazirgiannis, Dimitris Kapogiannis:
Web path recommendations based on page ranking and Markov models. WIDM 2005: 2-9 - 2004
- [c4]Stratos Paulakis, Charalampos Lampos, Magdalini Eirinaki, Michalis Vazirgiannis:
SEWeP: A Web Mining System Supporting Semantic Personalization. PKDD 2004: 552-554 - [c3]Magdalini Eirinaki, Charalampos Lampos, Stratos Paulakis, Michalis Vazirgiannis:
Web personalization integrating content semantics and navigational patterns. WIDM 2004: 72-79 - 2003
- [j1]Magdalini Eirinaki, Michalis Vazirgiannis:
Web mining for web personalization. ACM Trans. Internet Techn. 3(1): 1-27 (2003) - [c2]Magdalini Eirinaki, Joannis Vlachakis, Sarabjot S. Anand:
IKUM: An Integrated Web Personalization Platform Based on Content Structures and User Behavior. ITWP 2003: 272-288 - [c1]Magdalini Eirinaki, Michalis Vazirgiannis, Iraklis Varlamis:
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process. KDD 2003: 99-108
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