Mohammad A. Tayebi

30 papers A* 1A 3B 5C 6Journal 5Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	CleverCatch: A Knowledge-Guided Weak Supervision Model for Fraud Detection. IEEE Big Data Amirhossein Mozafari, Kourosh Hashemi, Erfan Shafagh, Soroush Motamedi, Azar Taheri Tayebi, Mohammad A. Tayebi
2025	J	`jnl`	CleverCatch: A Knowledge-Guided Weak Supervision Model for Fraud Detection. CoRR Amirhossein Mozafari, Kourosh Hashemi, Erfan Shafagh, Soroush Motamedi, Azar Taheri Tayebi, Mohammad A. Tayebi
2025	J	`jnl`	GraphQLer: Enhancing GraphQL Security with Context-Aware API Testing. CoRR Omar Tsai, Jianing Li, Tsz Tung Cheung, Lejing Huang, Hao Zhu, Jianrui Xiao, Iman Sharafaldin, Mohammad A. Tayebi
2025	J	`jnl`	PrediQL: Automated Testing of GraphQL APIs with LLMs. CoRR Shaolun Liu, Sina Marefat, Omar Tsai, Yu Chen, Zecheng Deng, Jia Wang, Mohammad A. Tayebi
2025	J	`jnl`	ZeroFalse: Improving Precision in Static Analysis with LLMs. CoRR Mohsen Iranmanesh, Sina Moradi Sabet, Sina Marefat, Ali Javidi Ghasr, Allison Wilson, Iman Sharafaldin, Mohammad A. Tayebi
2024	B	`conf`	AutoRed: Automated Attack Scenario Generation Framework for Red Teaming of LLMs. IEEE Big Data Zhe Wang, Mohammad A. Tayebi
2024	A	`conf`	XploitSQL: Advancing Adversarial SQL Injection Attack Generation with Language Models and Reinforcement Learning. CIKM Daniel Leung, Omar Tsai, Kourosh Hashemi, Bardia Tayebi, Mohammad A. Tayebi
2023	C	`conf`	An Evolutionary Algorithm for Adversarial SQL Injection Attack Generation. ISI Maryam Issakhani, Mufeng Huang, Mohammad A. Tayebi, Arash Habibi Lashkari
2023	J	`jnl`	Cost-Sensitive Learning for Medical Insurance Fraud Detection With Temporal Information. IEEE Trans. Knowl. Data Eng. Haolun Shi, Mohammad A. Tayebi, Jian Pei, Jiguo Cao
2022	—	`conf`	Cubism: Co-balanced Mixup for Unsupervised Volcano-Seismic Knowledge Transfer. ECML/PKDD (5) Mahsa Keramati, Mohammad A. Tayebi, Zahra Zohrevand, Uwe Glässer, Juan Anzieta, Glyn Williams-Jones
2021	—	`conf`	TripTracker: Unsupervised Learning of Fishing Vessel Routine Activity Patterns. IEEE BigData Amir Yaghoubi Shahir, Tilemachos Charalampous, Mohammad A. Tayebi, Uwe Glässer, Hans Wehn
2020	—	`conf`	Fishing Vessels Activity Detection from Longitudinal AIS Data. SIGSPATIAL/GIS Saeed Arasteh, Mohammad A. Tayebi, Zahra Zohrevand, Uwe Glässer, Amir Yaghoubi Shahir, Parvaneh Saeedi, Hans Wehn
2019	—	`conf`	Mining Vessel Trajectories for Illegal Fishing Detection. IEEE BigData Amir Yaghoubi Shahir, Mohammad A. Tayebi, Uwe Glässer, Tilemachos Charalampous, Zahra Zohrevand, Hans Wehn
2018	C	`conf`	Spatial Patterns of Offender Groups. ISI Mohammad A. Tayebi, Hamed Yaghoubi Shahir, Uwe Glässer, Patricia L. Brantingham
2017	A	`conf`	Deep Learning Based Forecasting of Critical Infrastructure Data. CIKM Zahra Zohrevand, Uwe Glässer, Mohammad A. Tayebi, Hamed Yaghoubi Shahir, Mehdi Shirmaleki, Amir Yaghoubi Shahir
2017	—	`conf`	SINAS: Suspect Investigation Using Offenders' Activity Space. ECML/PKDD (3) Mohammad A. Tayebi, Uwe Glässer, Patricia L. Brantingham, Hamed Yaghoubi Shahir
2016	C	`conf`	Formal engineering frameworks in maritime domain awareness. MEMOCODE Amir Yaghoubi Shahir, Uwe Glässer, Hamed Yaghoubi Shahir, Mohammad A. Tayebi, Hans Wehn
2016	—	`conf`	Hidden Markov based anomaly detection for water supply systems. IEEE BigData Zahra Zohrevand, Uwe Glässer, Hamed Yaghoubi Shahir, Mohammad A. Tayebi, Robert Costanzo
2016	—	`book`	Social Network Analysis in Predictive Policing - Concepts, Models and Methods Mohammad A. Tayebi, Uwe Glässer
2015	C	`conf`	Learning where to inspect: Location learning for crime prediction. ISI Mohammad A. Tayebi, Uwe Glässer, Patricia L. Brantingham
2014	B	`conf`	CRIMETRACER: Activity space based crime location prediction. ASONAM Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham
2014	A*	`conf`	Spatially embedded co-offence prediction using supervised learning. KDD Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham
2013	C	`conf`	Exploring the structural characteristics of social networks in a large criminal court database. ISI Andrew A. Reid, Mohammad A. Tayebi, Richard Frank
2012	B	`conf`	Investigating Organized Crime Groups: A Social Network Analysis Perspective. ASONAM Mohammad A. Tayebi, Uwe Glässer
2012	—	`conf`	Understanding the link between social and spatial distance in the crime world. SIGSPATIAL/GIS Mohammad A. Tayebi, Richard Frank, Uwe Glässer
2011	—	`ch.`	Co-offending Network Mining. Counterterrorism and Open Source Intelligence Patricia L. Brantingham, Martin Ester, Richard Frank, Uwe Glässer, Mohammad A. Tayebi
2011	A	`conf`	CrimeWalker: a recommendation model for suspect investigation. RecSys Mohammad A. Tayebi, Mohsen Jamali, Martin Ester, Uwe Glässer, Richard Frank
2011	B	`conf`	Locating Central Actors in Co-offending Networks. ASONAM Mohammad A. Tayebi, Laurens Bakker, Uwe Glässer, Vahid Dabbaghian
2011	C	`conf`	Organized Crime Structures in Co-offending Networks. DASC Mohammad A. Tayebi, Uwe Glässer
2007	—	`conf`	B2Rank: An Algorithm for Ranking Blogs Based on Behavioral Features. Web Intelligence Mohammad A. Tayebi, S. Mehdi Hashemi, Ali Mohades