Michael Fire

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 40

Top Topics

Social Networks

Link Prediction

Machine Learning

Top Venues

Soc. Netw. Anal. Min.

iThings/GreenCom/CPSCom/SmartData

Inf. Process. Manag.

Publications

Danielle Kapon, Michael Fire, Shai Gordin
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia. CoRR (2024)
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Zooming Into Video Conferencing Privacy. IEEE Trans. Comput. Soc. Syst. 11 (1) (2024)
Koren Ishlach, Itzhak Ben-David, Michael Fire, Lior Rokach
A Novel Method for News Article Event-Based Embedding. CoRR (2024)
Michael Fire, Rami Puzis, Dima Kagan, Yuval Elovici
Large-Scale Shill Bidder Detection in E-commerce. IDEAS (2023)
Nadav Shalit, Michael Fire, Dima Kagan, Eran Ben-Elia
Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph. CoRR (2023)
Nofar Piterman, Tamar Makov, Michael Fire
Analyzing Key Users' behavior trends in Volunteer-Based Networks. CoRR (2023)
Shmuel Horowitz, Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Zooming into Abnormal Events in Video Conferencing. BigData (2023)
Shay Lapid, Dima Kagan, Michael Fire
Co-Membership-based Generic Anomalous Communities Detection. Neural Process. Lett. 55 (5) (2023)
Nadav Shalit, Michael Fire, Eran Ben-Elia
A supervised machine learning model for imputing missing boarding stops in smart card data. Public Transp. 15 (2) (2023)
Shai Berkovitz, Amit Mazuz, Michael Fire
Open framework for analyzing public parliaments data. J. Big Data 10 (1) (2023)
Chen Tsfaty, Michael Fire
Malicious source code detection using a translation model. Patterns 4 (7) (2023)
Aviad Elyashar, Rami Puzis, Michael Fire
It Runs in the Family: Unsupervised Algorithm for Alternative Name Suggestion Using Digitized Family Trees. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Shmuel Horowitz, Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Interruptions detection in video conferences. CoRR (2023)
Chen Tsfaty, Michael Fire
Malicious Source Code Detection Using Transformer. CoRR (2022)
Shai Berkovitz, Amit Mazuz, Michael Fire
Open Framework for Analyzing Public Parliaments Data. CoRR (2022)
Dima Kagan, Mor Levy, Michael Fire, Galit Fuhrmann Alpert
Ethnic Representation Analysis of Commercial Movie Posters. CoRR (2022)
Shay Lapid, Dima Kagan, Michael Fire
Co-Membership-based Generic Anomalous Communities Detection. CoRR (2022)
Ran Ziv, Ilan Gronau, Michael Fire
CompanyName2Vec: Company Entity Matching based on Job Ads. DSAA (2022)
Dima Kagan, Michael Fire, Galit Fuhrmann Alpert
Trends in computer science research within European countries. Commun. ACM 65 (4) (2022)
Ran Ziv, Ilan Gronau, Michael Fire
CompanyName2Vec: Company Entity Matching Based on Job Ads. CoRR (2022)
Michael Fire, Rami Puzis, Dima Kagan, Yuval Elovici
Large-Scale Shill Bidder Detection in E-commerce. CoRR (2022)
Aviad Elyashar, Rami Puzis, Michael Fire
How does that name sound? Name representation learning using accent-specific speech generation. Knowl. Based Syst. 227 (2021)
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Automatic Large Scale Detection of Red Palm Weevil Infestation using Aerial and Street View Images. CoRR (2021)
Nadav Shalit, Michael Fire, Eran Ben-Elia
Imputation of Missing Boarding Stop Information in Smart Card Data with Machine Learning Methods. IDEAL (1) (2020)
Doron Laadan, Eyal Arviv, Michael Fire
Using Data Mining for Infrastructure and Safety Violations Discovery in Cities. CoRR (2020)
Nadav Shalit, Michael Fire, Eran Ben-Elia
Imputing Missing Boarding Stations With Machine Learning Methods. CoRR (2020)
Aviad Elyashar, Rami Puzis, Michael Fire
How Does That Sound? Multi-Language SpokenName2Vec Algorithm Using Speech Generation and Deep Learning. CoRR (2020)
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Zooming Into Video Conferencing Privacy and Security Threats. CoRR (2020)
Doron Laadan, Eyal Arviv, Michael Fire
Using Data Mining for Infrastructure and Safety Violations Discovery in Cities. ISC2 (2020)
Michael Fire, Carlos Guestrin
The rise and fall of network stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time. Inf. Process. Manag. 57 (2) (2020)
Aviad Elyashar, Rami Puzis, Michael Fire
It Runs in the Family: Searching for Similar Names using Digitized Family Trees. CoRR (2019)
Dima Kagan, Thomas Chesney, Michael Fire
Using Data Science to Understand the Film Industry's Gender Gap. CoRR (2019)
Dima Kagan, Yuval Elovici, Michael Fire
Generic anomalous vertices detection utilizing a link prediction algorithm. Soc. Netw. Anal. Min. 8 (1) (2018)
Michael Fire, Carlos Guestrin
Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action. CoRR (2018)
Michael Fire, Carlos Guestrin
The Rise and Fall of Network Stars. CoRR (2017)
Michael Fire, Jonathan Schler
Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach. iThings/GreenCom/CPSCom/SmartData (2017)
Michael Fire, Carlos Guestrin
Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies. CoRR (2016)
Dima Kagan, Michael Fire, Yuval Elovici
Unsupervised Anomalous Vertices Detection Utilizing Link Prediction Algorithms. CoRR (2016)
Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici
Matching entities across online social networks. Neurocomputing 210 (2016)
Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici
Guided socialbots: Infiltrating the social networks of specific organizations' employees. AI Commun. 29 (1) (2016)
Michael Fire, Jonathan Schler
Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach. CoRR (2015)
Michael Fire, Yuval Elovici
Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population. ACM Trans. Intell. Syst. Technol. 6 (2) (2015)
Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici
Matching Entities Across Online Social Networks. CoRR (2014)
Michael Fire, Dima Kagan, Aviad Elyashar, Yuval Elovici
Friend or foe? Fake profile identification in online social networks. Soc. Netw. Anal. Min. 4 (1) (2014)
Michael Fire, Roy Goldschmidt, Yuval Elovici
Online Social Networks: Threats and Solutions. IEEE Commun. Surv. Tutorials 16 (4) (2014)
Yuval Elovici, Michael Fire, Amir Herzberg, Haya Shulman
Ethical Considerations when Employing Fake Identities in Online Social Networks for Research. Sci. Eng. Ethics 20 (4) (2014)
Michael Fire, Thomas Chesney, Yuval Elovici
Quantitative Analysis of Genealogy Using Digitised Family Trees. CoRR (2014)
Yaniv Altshuler, Michael Fire, Erez Shmueli, Yuval Elovici, Alfred M. Bruckstein, Alex Pentland, David Lazer
Detecting Anomalous Behaviors Using Structural Properties of Social Networks. SBP (2013)
Michael Fire, Dima Kagan, Aviad Elyashar, Yuval Elovici
Friend or Foe? Fake Profile Identification in Online Social Networks CoRR (2013)
Michael Fire, Lena Tenenboim-Chekina, Rami Puzis, Ofrit Lesser, Lior Rokach, Yuval Elovici
Computationally efficient link prediction in a variety of social networks. ACM Trans. Intell. Syst. Technol. 5 (1) (2013)
Dima Kagan, Michael Fire, Aviad Elyashar, Yuval Elovici
Facebook Applications' Installation and Removal: A Temporal Analysis. CoRR (2013)
Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici
Homing socialbots: intrusion on a specific organization's employee using Socialbots. ASONAM (2013)
Yaniv Altshuler, Michael Fire, Nadav Aharony, Zeev Volkovich, Yuval Elovici, Alex Pentland
Trade-Offs in Social and Behavioral Modeling in Mobile Networks. SBP (2013)
Michael Fire, Yuval Elovici
Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population. CoRR (2013)
Michael Fire, Rami Puzis, Yuval Elovici
Organization Mining Using Online Social Networks CoRR (2013)
Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici
Entity Matching in Online Social Networks. SocialCom (2013)
Michael Fire, Roy Goldschmidt, Yuval Elovici
Online Social Networks: Threats and Solutions Survey CoRR (2013)
Yuval Elovici, Michael Fire, Amir Herzberg, Haya Shulman
Ethical Considerations when Employing Fake Identities in OSN for Research. CoRR (2013)
Yaniv Altshuler, Michael Fire, Nadav Aharony, Yuval Elovici, Alex Pentland
How Many Makes a Crowd? On the Evolution of Learning as a Factor of Community Coverage. SBP (2012)
Yaniv Altshuler, Nadav Aharony, Michael Fire, Yuval Elovici, Alex Pentland
Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data. SocialCom/PASSAT (2012)
Yehonatan Bitton, Michael Fire, Dima Kagan, Bracha Shapira, Lior Rokach, Judit Bar-Ilan
Social Network Based Search for Experts CoRR (2012)
Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici
Organizational Intrusion: Organization Mining Using Socialbots. SocialInformatics (2012)
Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, Lior Rokach
Predicting Student Exam's Scores by Analyzing Social Network Data. AMT (2012)
Yaniv Altshuler, Nadav Aharony, Michael Fire, Yuval Elovici, Alex Pentland
Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data CoRR (2011)
Michael Fire, Lena Tenenboim, Ofrit Lesser, Rami Puzis, Lior Rokach, Yuval Elovici
Link Prediction in Social Networks Using Computationally Efficient Topological Features. SocialCom/PASSAT (2011)