Zahra Ahmadi 个人学术档案 - 学术资源搜索

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Stefan KramerProfessor of Computer Science, Johannes Gutenberg University Mainz在 informatik.uni-mainz.de 的电子邮件经过验证
Hoang H. NguyenPostdoctoral Researcher at University of Tennessee at Chattanooga在 utc.edu 的电子邮件经过验证
Hamid BeigySharif University of Technology在 sharif.edu 的电子邮件经过验证
Thanh-Nam DoanIndependent Researcher, University of Tennessee at Chattanooga在 tndoan.com 的电子邮件经过验证
Mohammad Javad HosseiniResearch Scientist at Google DeepMind在 google.com 的电子邮件经过验证
Raneen YounisPhD Student, L3S Research Center, Leibniz University Hannover在 l3s.de 的电子邮件经过验证
Lingxiao JiangProfessor of Computer Science, Singapore Management University在 smu.edu.sg 的电子邮件经过验证
Sophie Fellenz née BurkhardtJunior Professor, TU Kaiserslautern在 cs.uni-kl.de 的电子邮件经过验证
Junming ShaoProfessor of Computer Science, University of Electronic Science and Technology of China在 uestc.edu.cn 的电子邮件经过验证
Iryna GurevychFull Professor, TU Darmstadt; Adjunct Professor, MBZUAI, UAE; Affiliated Professor, INSAIT, Bulgaria在 cs.tu-darmstadt.de 的电子邮件经过验证
Abdul HakmehPhD. Student Univercity of Hildesheim在 uni-hildesheim.de 的电子邮件经过验证
Daniel KudenkoL3S Research Center, Leibniz University Hannover, Germany在 l3s.de 的电子邮件经过验证
Thomas GottronPrincipal Data Science Expert, European Central Bank, Frankfurt在 ecb.europa.eu 的电子邮件经过验证
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLIS在 cs.tu-darmstadt.de 的电子邮件经过验证
Jannis BruggerTechnical University of Darmstadt在 tu-darmstadt.de 的电子邮件经过验证
Nicolas WagnerTU Dortmund University在 tu-dortmund.de 的电子邮件经过验证
Benjamin Schillerformerly UKP Lab, Technische Universität Darmstadt在 ukp.informatik.tu-darmstadt.de 的电子邮件经过验证
Dr. rer. nat. Sergej ZerrProject Director/It-Architect: Research Data Management, University of Bonn在 uni-bonn.de 的电子邮件经过验证
Dr. Marco FisichellaResearch Group Leader at L3S Research Center of Leibniz University of Hannover在 l3s.de 的电子邮件经过验证
Francesco CalderoniUniversità Cattolica del Sacro Cuore and Transcrime在 unicatt.it 的电子邮件经过验证

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Zahra Ahmadi

Junior Group Leader, PLRI Medical Informatics Institute, Medical School of Hannover

在 l3s.de 的电子邮件经过验证 - 首页

Human-centered AI Multimodal Learning Data Mining Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Prototype-based learning on concept-drifting data streams J Shao, Z Ahmadi, S Kramer Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	97	2014
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification MJ Hosseini, Z Ahmadi, H Beigy Evolving Systems 4, 43-60, 2013	43	2013
Semi-supervised ensemble learning of data streams in the presence of concept drift Z Ahmadi, H Beigy Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS …, 2012	37	2012
Modeling recurring concepts in data streams: a graph-based framework Z Ahmadi, S Kramer Knowledge and Information Systems 55, 15-44, 2018	34	2018
Towards bankruptcy prediction: Deep sentiment mining to detect financial distress from business management reports Z Ahmadi, P Martens, C Koch, T Gottron, S Kramer 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018	33	2018
MANDO: Multi-level heterogeneous graph embeddings for fine-grained detection of smart contract vulnerabilities HH Nguyen, NM Nguyen, C Xie, Z Ahmadi, D Kudendo, TN Doan, L Jiang 2022 IEEE 9th International Conference on Data Science and Advanced …, 2022	29	2022
A label compression method for online multi-label classification Z Ahmadi, S Kramer Pattern Recognition Letters 111, 64-71, 2018	28	2018
New management operations on classifiers pool to track recurring concepts MJ Hosseini, Z Ahmadi, H Beigy Data Warehousing and Knowledge Discovery: 14th International Conference …, 2012	19	2012
Pool and accuracy based stream classification: a new ensemble algorithm on data stream classification using recurring concepts detection MJ Hosseini, Z Ahmadi, H Beigy 2011 IEEE 11th international conference on data mining workshops, 588-595, 2011	17	2011
MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings HH Nguyen, NM Nguyen, HP Doan, Z Ahmadi, TN Doan, L Jiang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022	16	2022
Rule extraction from binary neural networks with convolutional rules for model validation S Burkhardt, J Brugger, N Wagner, Z Ahmadi, K Kersting, S Kramer Frontiers in artificial intelligence 4, 642263, 2021	13	2021
Mando-hgt: Heterogeneous graph transformers for smart contract vulnerability detection HH Nguyen, NM Nguyen, C Xie, Z Ahmadi, D Kudendo, TN Doan, L Jiang 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023	12	2023
Focusing knowledge-based graph argument mining via topic modeling P Abels, Z Ahmadi, S Burkhardt, B Schiller, I Gurevych, S Kramer arXiv preprint arXiv:2102.02086, 2021	12	2021
Multivariate time series analysis: An interpretable cnn-based model R Younis, S Zerr, Z Ahmadi 2022 IEEE 9th International Conference on Data Science and Advanced …, 2022	11	2022
Flames2graph: An interpretable federated multivariate time series classification framework R Younis, Z Ahmadi, A Hakmeh, M Fisichella Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023	10	2023
Inductive and transductive link prediction for criminal network analysis Z Ahmadi, HH Nguyen, Z Zhang, D Bozhkov, D Kudenko, M Jofre, ... Journal of Computational Science 72, 102063, 2023	8	2023
SoChainDB: A database for storing and retrieving blockchain-powered social network data HH Nguyen, D Bozhkov, Z Ahmadi, NM Nguyen, TN Doan Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022	7	2022
Topic-guided knowledge graph construction for argument mining W Li, P Abels, Z Ahmadi, S Burkhardt, B Schiller, I Gurevych, S Kramer 2021 IEEE International Conference on Big Knowledge (ICBK), 315-322, 2021	6	2021
MTS2Graph: Interpretable multivariate time series classification with temporal evolving graphs R Younis, A Hakmeh, Z Ahmadi Pattern Recognition 152, 110486, 2024	5	2024
On the impact of dataset size: A twitter classification case study TH Nguyen, HH Nguyen, Z Ahmadi, TA Hoang, TN Doan IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent …, 2021	5	2021

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