Michael Fire - RankMe

72 papers B 3C 1Journal 57Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach. CoRR Yoav Evron, Michal Bar-Asher Siegal, Michael Fire
2025	J	`jnl`	A Comprehensive Machine Learning Framework for Micromobility Demand Prediction. CoRR Omri Porat, Michael Fire, Eran Ben-Elia
2025	J	`jnl`	Analyzing key users' behavior trends in volunteer-based networks. J. Big Data Nofar Piterman, Tamar Makov, Michael Fire
2025	J	`jnl`	Behind the Byline: A Large-Scale Study of Scientific Author Contributions. CoRR Itai Assraf, Michael Fire
2025	J	`jnl`	Dark LLMs: The Growing Threat of Unaligned AI Models. CoRR Michael Fire, Yitzhak Elbazis, Adi Wasenstein, Lior Rokach
2025	J	`jnl`	Framework of Voting Prediction of Parliament Members. CoRR Zahi Mizrahi, Shai Berkovitz, Nimrod Talmon, Michael Fire
2025	J	`jnl`	VANPY: Voice Analysis Framework. CoRR Gregory Koushnir, Michael Fire, Galit Fuhrmann Alpert, Dima Kagan
2024	J	`jnl`	A Novel Method for News Article Event-Based Embedding. CoRR Koren Ishlach, Itzhak Ben-David, Michael Fire, Lior Rokach
2024	J	`jnl`	Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia. CoRR Danielle Kapon, Michael Fire, Shai Gordin
2024	J	`jnl`	Zooming Into Video Conferencing Privacy. IEEE Trans. Comput. Soc. Syst. Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
2023	J	`jnl`	A supervised machine learning model for imputing missing boarding stops in smart card data. Public Transp. Nadav Shalit, Michael Fire, Eran Ben-Elia
2023	J	`jnl`	Analyzing Key Users' behavior trends in Volunteer-Based Networks. CoRR Nofar Piterman, Tamar Makov, Michael Fire
2023	J	`jnl`	Co-Membership-based Generic Anomalous Communities Detection. Neural Process. Lett. Shay Lapid, Dima Kagan, Michael Fire
2023	J	`jnl`	Interruptions detection in video conferences. CoRR Shmuel Horowitz, Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
2023	J	`jnl`	It Runs in the Family: Unsupervised Algorithm for Alternative Name Suggestion Using Digitized Family Trees. IEEE Trans. Knowl. Data Eng. Aviad Elyashar, Rami Puzis, Michael Fire
2023	C	`conf`	Large-Scale Shill Bidder Detection in E-commerce. IDEAS Michael Fire, Rami Puzis, Dima Kagan, Yuval Elovici
2023	J	`jnl`	Malicious source code detection using a translation model. Patterns Chen Tsfaty, Michael Fire
2023	J	`jnl`	Open framework for analyzing public parliaments data. J. Big Data Shai Berkovitz, Amit Mazuz, Michael Fire
2023	J	`jnl`	Short Run Transit Route Planning Decision Support System Using a Deep Learning-Based Weighted Graph. CoRR Nadav Shalit, Michael Fire, Dima Kagan, Eran Ben-Elia
2023	B	`conf`	Zooming into Abnormal Events in Video Conferencing. IEEE Big Data Shmuel Horowitz, Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
2022	J	`jnl`	Co-Membership-based Generic Anomalous Communities Detection. CoRR Shay Lapid, Dima Kagan, Michael Fire
2022	J	`jnl`	CompanyName2Vec: Company Entity Matching Based on Job Ads. CoRR Ran Ziv, Ilan Gronau, Michael Fire
2022	B	`conf`	CompanyName2Vec: Company Entity Matching based on Job Ads. DSAA Ran Ziv, Ilan Gronau, Michael Fire
2022	J	`jnl`	Ethnic Representation Analysis of Commercial Movie Posters. CoRR Dima Kagan, Mor Levy, Michael Fire, Galit Fuhrmann Alpert
2022	J	`jnl`	Large-Scale Shill Bidder Detection in E-commerce. CoRR Michael Fire, Rami Puzis, Dima Kagan, Yuval Elovici
2022	J	`jnl`	Malicious Source Code Detection Using Transformer. CoRR Chen Tsfaty, Michael Fire
2022	J	`jnl`	Open Framework for Analyzing Public Parliaments Data. CoRR Shai Berkovitz, Amit Mazuz, Michael Fire
2022	J	`jnl`	Trends in computer science research within European countries. Commun. ACM Dima Kagan, Michael Fire, Galit Fuhrmann Alpert
2021	J	`jnl`	Automatic Large Scale Detection of Red Palm Weevil Infestation using Aerial and Street View Images. CoRR Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
2021	J	`jnl`	How does that name sound? Name representation learning using accent-specific speech generation. Knowl. Based Syst. Aviad Elyashar, Rami Puzis, Michael Fire
2020	J	`jnl`	How Does That Sound? Multi-Language SpokenName2Vec Algorithm Using Speech Generation and Deep Learning. CoRR Aviad Elyashar, Rami Puzis, Michael Fire
2020	—	`conf`	Imputation of Missing Boarding Stop Information in Smart Card Data with Machine Learning Methods. IDEAL (1) Nadav Shalit, Michael Fire, Eran Ben-Elia
2020	J	`jnl`	Imputing Missing Boarding Stations With Machine Learning Methods. CoRR Nadav Shalit, Michael Fire, Eran Ben-Elia
2020	J	`jnl`	The rise and fall of network stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time. Inf. Process. Manag. Michael Fire, Carlos Guestrin
2020	—	`conf`	Using Data Mining for Infrastructure and Safety Violations Discovery in Cities. ISC2 Doron Laadan, Eyal Arviv, Michael Fire
2020	J	`jnl`	Using Data Mining for Infrastructure and Safety Violations Discovery in Cities. CoRR Doron Laadan, Eyal Arviv, Michael Fire
2020	J	`jnl`	Zooming Into Video Conferencing Privacy and Security Threats. CoRR Dima Kagan, Galit Fuhrmann Alpert, Michael Fire
2019	J	`jnl`	It Runs in the Family: Searching for Similar Names using Digitized Family Trees. CoRR Aviad Elyashar, Rami Puzis, Michael Fire
2019	J	`jnl`	Using Data Science to Understand the Film Industry's Gender Gap. CoRR Dima Kagan, Thomas Chesney, Michael Fire
2018	J	`jnl`	Generic anomalous vertices detection utilizing a link prediction algorithm. Soc. Netw. Anal. Min. Dima Kagan, Yuval Elovici, Michael Fire
2018	J	`jnl`	Over-Optimization of Academic Publishing Metrics: Observing Goodhart's Law in Action. CoRR Michael Fire, Carlos Guestrin
2017	—	`conf`	Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach. iThings/GreenCom/CPSCom/SmartData Michael Fire, Jonathan Schler
2017	J	`jnl`	The Rise and Fall of Network Stars. CoRR Michael Fire, Carlos Guestrin
2016	J	`jnl`	Analyzing Complex Network User Arrival Patterns and Their Effect on Network Topologies. CoRR Michael Fire, Carlos Guestrin
2016	J	`jnl`	Guided socialbots: Infiltrating the social networks of specific organizations' employees. AI Commun. Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici
2016	J	`jnl`	Matching entities across online social networks. Neurocomputing Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici
2016	J	`jnl`	Unsupervised Anomalous Vertices Detection Utilizing Link Prediction Algorithms. CoRR Dima Kagan, Michael Fire, Yuval Elovici
2015	J	`jnl`	Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population. ACM Trans. Intell. Syst. Technol. Michael Fire, Yuval Elovici
2015	J	`jnl`	Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach. CoRR Michael Fire, Jonathan Schler
2014	J	`jnl`	Ethical Considerations when Employing Fake Identities in Online Social Networks for Research. Sci. Eng. Ethics Yuval Elovici, Michael Fire, Amir Herzberg, Haya Schulmann
2014	J	`jnl`	Friend or foe? Fake profile identification in online social networks. Soc. Netw. Anal. Min. Michael Fire, Dima Kagan, Aviad Elyashar, Yuval Elovici
2014	J	`jnl`	Matching Entities Across Online Social Networks. CoRR Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici
2014	J	`jnl`	Online Social Networks: Threats and Solutions. IEEE Commun. Surv. Tutorials Michael Fire, Roy Goldschmidt, Yuval Elovici
2014	J	`jnl`	Quantitative Analysis of Genealogy Using Digitised Family Trees. CoRR Michael Fire, Thomas Chesney, Yuval Elovici
2013	J	`jnl`	Computationally efficient link prediction in a variety of social networks. ACM Trans. Intell. Syst. Technol. Michael Fire, Lena Tenenboim-Chekina, Rami Puzis, Ofrit Lesser, Lior Rokach, Yuval Elovici
2013	J	`jnl`	Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population. CoRR Michael Fire, Yuval Elovici
2013	—	`conf`	Detecting Anomalous Behaviors Using Structural Properties of Social Networks. SBP Yaniv Altshuler, Michael Fire, Erez Shmueli, Yuval Elovici, Alfred M. Bruckstein, Alex Pentland, David Lazer
2013	—	`conf`	Entity Matching in Online Social Networks. SocialCom Olga Peled, Michael Fire, Lior Rokach, Yuval Elovici
2013	J	`jnl`	Ethical Considerations when Employing Fake Identities in OSN for Research. CoRR Yuval Elovici, Michael Fire, Amir Herzberg, Haya Schulmann
2013	J	`jnl`	Facebook Applications' Installation and Removal: A Temporal Analysis. CoRR Dima Kagan, Michael Fire, Aviad Elyashar, Yuval Elovici
2013	J	`jnl`	Friend or Foe? Fake Profile Identification in Online Social Networks CoRR Michael Fire, Dima Kagan, Aviad Elyashar, Yuval Elovici
2013	B	`conf`	Homing socialbots: intrusion on a specific organization's employee using Socialbots. ASONAM Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici
2013	J	`jnl`	Online Social Networks: Threats and Solutions Survey CoRR Michael Fire, Roy Goldschmidt, Yuval Elovici
2013	J	`jnl`	Organization Mining Using Online Social Networks CoRR Michael Fire, Rami Puzis, Yuval Elovici
2013	—	`conf`	Trade-Offs in Social and Behavioral Modeling in Mobile Networks. SBP Yaniv Altshuler, Michael Fire, Nadav Aharony, Zeev Volkovich, Yuval Elovici, Alex Pentland
2012	—	`conf`	How Many Makes a Crowd? On the Evolution of Learning as a Factor of Community Coverage. SBP Yaniv Altshuler, Michael Fire, Nadav Aharony, Yuval Elovici, Alex Pentland
2012	—	`conf`	Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data. SocialCom/PASSAT Yaniv Altshuler, Nadav Aharony, Michael Fire, Yuval Elovici, Alex Pentland
2012	—	`conf`	Organizational Intrusion: Organization Mining Using Socialbots. SocialInformatics Aviad Elyashar, Michael Fire, Dima Kagan, Yuval Elovici
2012	—	`conf`	Predicting Student Exam's Scores by Analyzing Social Network Data. AMT Michael Fire, Gilad Katz, Yuval Elovici, Bracha Shapira, Lior Rokach
2012	J	`jnl`	Social Network Based Search for Experts CoRR Yehonatan Bitton, Michael Fire, Dima Kagan, Bracha Shapira, Lior Rokach, Judit Bar-Ilan
2011	J	`jnl`	Incremental Learning with Accuracy Prediction of Social and Individual Properties from Mobile-Phone Data CoRR Yaniv Altshuler, Nadav Aharony, Michael Fire, Yuval Elovici, Alex Pentland
2011	—	`conf`	Link Prediction in Social Networks Using Computationally Efficient Topological Features. SocialCom/PASSAT Michael Fire, Lena Tenenboim, Ofrit Lesser, Rami Puzis, Lior Rokach, Yuval Elovici