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2020 – today
- 2024
[j17]Dima Kagan
, Galit Fuhrmann Alpert, Michael Fire:
Zooming Into Video Conferencing Privacy. IEEE Trans. Comput. Soc. Syst. 11(1): 933-944 (2024)- [i33]Koren Ishlach, Itzhak Ben-David, Michael Fire, Lior Rokach:
A Novel Method for News Article Event-Based Embedding. CoRR abs/2405.13071 (2024) - [i32]Danielle Kapon, Michael Fire, Shai Gordin:
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia. CoRR abs/2406.04039 (2024) - 2023
- [j16]Shai Berkovitz, Amit Mazuz, Michael Fire:
Open framework for analyzing public parliaments data. J. Big Data 10(1): 161 (2023) - [j15]Shay Lapid, Dima Kagan, Michael Fire:
Co-Membership-based Generic Anomalous Communities Detection. Neural Process. Lett. 55(5): 5619-5651 (2023) - [j14]Chen Tsfaty, Michael Fire:
Malicious source code detection using a translation model. Patterns 4(7): 100773 (2023) - [j13]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): 287-319 (2023) - [j12]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): 1651-1666 (2023) - [c15]Shmuel Horowitz, Dima Kagan, Galit Fuhrmann Alpert, Michael Fire:
Zooming into Abnormal Events in Video Conferencing. IEEE Big Data 2023: 1330-1335 - [c14]Michael Fire, Rami Puzis, Dima Kagan, Yuval Elovici:
Large-Scale Shill Bidder Detection in E-commerce. IDEAS 2023: 79-86 - [i31]Shmuel Horowitz, Dima Kagan, Galit Fuhrmann Alpert, Michael Fire:
Interruptions detection in video conferences. CoRR abs/2303.02052 (2023) - [i30]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 abs/2308.12828 (2023) - [i29]Nofar Piterman, Tamar Makov, Michael Fire:
Analyzing Key Users' behavior trends in Volunteer-Based Networks. CoRR abs/2310.05978 (2023) - 2022
- [j11]Dima Kagan, Michael Fire, Galit Fuhrmann Alpert:
Trends in computer science research within European countries. Commun. ACM 65(4): 36-37 (2022) - [c13]Ran Ziv, Ilan Gronau, Michael Fire:
CompanyName2Vec: Company Entity Matching based on Job Ads. DSAA 2022: 1-10 - [i28]Ran Ziv, Ilan Gronau, Michael Fire:
CompanyName2Vec: Company Entity Matching Based on Job Ads. CoRR abs/2201.04687 (2022) - [i27]Shay Lapid, Dima Kagan, Michael Fire:
Co-Membership-based Generic Anomalous Communities Detection. CoRR abs/2203.16246 (2022) - [i26]Michael Fire, Rami Puzis, Dima Kagan, Yuval Elovici:
Large-Scale Shill Bidder Detection in E-commerce. CoRR abs/2204.02057 (2022) - [i25]Dima Kagan, Mor Levy, Michael Fire, Galit Fuhrmann Alpert:
Ethnic Representation Analysis of Commercial Movie Posters. CoRR abs/2207.08169 (2022) - [i24]Chen Tsfaty, Michael Fire:
Malicious Source Code Detection Using Transformer. CoRR abs/2209.07957 (2022) - [i23]Shai Berkovitz, Amit Mazuz, Michael Fire:
Open Framework for Analyzing Public Parliaments Data. CoRR abs/2210.00433 (2022) - 2021
- [j10]Aviad Elyashar, Rami Puzis, Michael Fire:
How does that name sound? Name representation learning using accent-specific speech generation. Knowl. Based Syst. 227: 107229 (2021) - [i22]Dima Kagan, Galit Fuhrmann Alpert, Michael Fire:
Automatic Large Scale Detection of Red Palm Weevil Infestation using Aerial and Street View Images. CoRR abs/2104.02598 (2021) - 2020
- [j9]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): 102041 (2020) - [c12]Nadav Shalit, Michael Fire, Eran Ben-Elia:
Imputation of Missing Boarding Stop Information in Smart Card Data with Machine Learning Methods. IDEAL (1) 2020: 17-27 - [c11]Doron Laadan, Eyal Arviv, Michael Fire:
Using Data Mining for Infrastructure and Safety Violations Discovery in Cities. ISC2 2020: 1-4 - [i21]Nadav Shalit, Michael Fire, Eran Ben-Elia:
Imputing Missing Boarding Stations With Machine Learning Methods. CoRR abs/2003.05285 (2020) - [i20]Aviad Elyashar, Rami Puzis, Michael Fire:
How Does That Sound? Multi-Language SpokenName2Vec Algorithm Using Speech Generation and Deep Learning. CoRR abs/2005.11838 (2020) - [i19]Dima Kagan, Galit Fuhrmann Alpert, Michael Fire:
Zooming Into Video Conferencing Privacy and Security Threats. CoRR abs/2007.01059 (2020) - [i18]Doron Laadan, Eyal Arviv, Michael Fire:
Using Data Mining for Infrastructure and Safety Violations Discovery in Cities. CoRR abs/2007.08630 (2020)
2010 – 2019
- 2019
- [i17]Dima Kagan, Thomas Chesney, Michael Fire:
Using Data Science to Understand the Film Industry's Gender Gap. CoRR abs/1903.06469 (2019) - [i16]Aviad Elyashar, Rami Puzis, Michael Fire:
It Runs in the Family: Searching for Similar Names using Digitized Family Trees. CoRR abs/1912.04003 (2019) - 2018
- [j8]Dima Kagan, Yuval Elovici, Michael Fire:
Generic anomalous vertices detection utilizing a link prediction algorithm. Soc. Netw. Anal. Min. 8(1): 27 (2018) - [i15]Michael Fire, Carlos Guestrin:
Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action. CoRR abs/1809.07841 (2018) - 2017
- [c10]Michael Fire, Jonathan Schler:
Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach. iThings/GreenCom/CPSCom/SmartData 2017: 1053-1060 - [i14]Michael Fire, Carlos Guestrin:
The Rise and Fall of Network Stars. CoRR abs/1706.06690 (2017) - 2016
- [j7]Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici:
Guided socialbots: Infiltrating the social networks of specific organizations' employees. AI Commun. 29(1): 87-106 (2016) - [j6]Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici:
Matching entities across online social networks. Neurocomputing 210: 91-106 (2016) - [i13]Michael Fire, Carlos Guestrin:
Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies. CoRR abs/1603.07445 (2016) - [i12]Dima Kagan, Michael Fire, Yuval Elovici:
Unsupervised Anomalous Vertices Detection Utilizing Link Prediction Algorithms. CoRR abs/1610.07525 (2016) - 2015
- [j5]Michael Fire, Yuval Elovici:
Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population. ACM Trans. Intell. Syst. Technol. 6(2): 28:1-28:22 (2015) - [i11]Michael Fire, Jonathan Schler:
Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach. CoRR abs/1509.00568 (2015) - 2014
- [j4]Michael Fire, Roy Goldschmidt, Yuval Elovici:
Online Social Networks: Threats and Solutions. IEEE Commun. Surv. Tutorials 16(4): 2019-2036 (2014) - [j3]Yuval Elovici, Michael Fire, Amir Herzberg, Haya Schulmann:
Ethical Considerations when Employing Fake Identities in Online Social Networks for Research. Sci. Eng. Ethics 20(4): 1027-1043 (2014) - [j2]Michael Fire, Dima Kagan, Aviad Elyashar, Yuval Elovici:
Friend or foe? Fake profile identification in online social networks. Soc. Netw. Anal. Min. 4(1): 194 (2014) - [i10]Michael Fire, Thomas Chesney, Yuval Elovici:
Quantitative Analysis of Genealogy Using Digitised Family Trees. CoRR abs/1408.5571 (2014) - [i9]Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici:
Matching Entities Across Online Social Networks. CoRR abs/1410.6717 (2014) - 2013
- [j1]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): 10:1-10:25 (2013) - [c9]Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici:
Homing socialbots: intrusion on a specific organization's employee using Socialbots. ASONAM 2013: 1358-1365 - [c8]Yaniv Altshuler, Michael Fire, Nadav Aharony, Zeev Volkovich, Yuval Elovici, Alex Pentland:
Trade-Offs in Social and Behavioral Modeling in Mobile Networks. SBP 2013: 412-423 - [c7]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: 433-440 - [c6]Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici:
Entity Matching in Online Social Networks. SocialCom 2013: 339-344 - [i8]Michael Fire, Rami Puzis, Yuval Elovici:
Organization Mining Using Online Social Networks. CoRR abs/1303.3741 (2013) - [i7]Michael Fire, Dima Kagan, Aviad Elyashar, Yuval Elovici:
Friend or Foe? Fake Profile Identification in Online Social Networks. CoRR abs/1303.3751 (2013) - [i6]Michael Fire, Roy Goldschmidt, Yuval Elovici:
Online Social Networks: Threats and Solutions Survey. CoRR abs/1303.3764 (2013) - [i5]Dima Kagan, Michael Fire, Aviad Elyashar, Yuval Elovici:
Facebook Applications' Installation and Removal: A Temporal Analysis. CoRR abs/1309.4067 (2013) - [i4]Yuval Elovici, Michael Fire, Amir Herzberg, Haya Schulmann:
Ethical Considerations when Employing Fake Identities in OSN for Research. CoRR abs/1310.1651 (2013) - [i3]Michael Fire, Yuval Elovici:
Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population. CoRR abs/1311.4276 (2013) - 2012
- [c5]Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, Lior Rokach:
Predicting Student Exam's Scores by Analyzing Social Network Data. AMT 2012: 584-595 - [c4]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: 43-52 - [c3]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: 969-974 - [c2]Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici:
Organizational Intrusion: Organization Mining Using Socialbots. SocialInformatics 2012: 7-12 - [i2]Yehonatan Bitton, Michael Fire, Dima Kagan, Bracha Shapira, Lior Rokach, Judit Bar-Ilan:
Social Network Based Search for Experts. CoRR abs/1212.3540 (2012) - 2011
- [c1]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: 73-80 - [i1]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 abs/1111.4645 (2011)
Coauthor Index
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last updated on 2024-07-06 23:42 CEST by the dblp team
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