Dima Kagan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 16

Top Topics

Computer Science

Video Conferencing

Abnormal Events

Top Venues

Soc. Netw. Anal. Min.

Publications

Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Zooming Into Video Conferencing Privacy. IEEE Trans. Comput. Soc. Syst. 11 (1) (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)
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)
Shmuel Horowitz, Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Interruptions detection in video conferences. CoRR (2023)
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)
Dima Kagan, Michael Fire, Galit Fuhrmann Alpert
Trends in computer science research within European countries. Commun. ACM 65 (4) (2022)
Michael Fire, Rami Puzis, Dima Kagan, Yuval Elovici
Large-Scale Shill Bidder Detection in E-commerce. CoRR (2022)
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Automatic Large Scale Detection of Red Palm Weevil Infestation using Aerial and Street View Images. CoRR (2021)
Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
Zooming Into Video Conferencing Privacy and Security Threats. CoRR (2020)
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)
Dima Kagan, Michael Fire, Yuval Elovici
Unsupervised Anomalous Vertices Detection Utilizing Link Prediction Algorithms. CoRR (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, 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, Dima Kagan, Aviad Elyashar, Yuval Elovici
Friend or Foe? Fake Profile Identification in Online Social Networks CoRR (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)
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)