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ORCIDZahra Ahmadi
Person information
- affiliation: Johannes Gutenberg University of Mainz, Institute of Computer Science, Germany
- affiliation: Sharif University of Technology, Department of Computer Engineering, Tehran, Iran
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2020 – today
- 2024
[j9]Raneen Younis
, Abdul Hakmeh, Zahra Ahmadi:
MTS2Graph: Interpretable multivariate time series classification with temporal evolving graphs. Pattern Recognit. 152: 110486 (2024)- [c24]Zahra Ahmadi, Jochen De Weerdt, Estefanía Serral Asensio:
A Novel Contextualization Method for Process Discovery Using Activity Specialization Hierarchies. BPMDS/EMMSAD@CAiSE 2024: 143-155 - [i8]Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas, Jose-Luis Bayo-Monton:
Synergy of Information in Multimodal IoT Systems - Discovering the impact of daily behaviour routines on physical activity level. CoRR abs/2403.14707 (2024) - [i7]Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas, Jose-Luis Bayo-Monton, Gemma Di Federico:
A process mining-based error correction approach to improve data quality of an IoT-sourced event log. CoRR abs/2404.13091 (2024) - [i6]Ali Rasekh, Reza Heidari, Amir Hosein Haji Mohammad Rezaie, Parsa Sharifi Sedeh, Zahra Ahmadi, Prasenjit Mitra, Wolfgang Nejdl:
Towards Precision Healthcare: Robust Fusion of Time Series and Image Data. CoRR abs/2405.15442 (2024) - 2023
- [j8]Ruzlin Akter, Shashiprabha Rathnayaka, Zahra Ahmadi:
The effect of leadership and organisational culture on organisational innovation. Int. J. Serv. Technol. Manag. 28(5/6): 360-388 (2023) - [j7]Zahra Ahmadi, Hoang H. Nguyen, Zijian Zhang, Dmytro Bozhkov, Daniel Kudenko, Maria Jofre, Francesco Calderoni, Noa Cohen, Yosef Solewicz:
Inductive and transductive link prediction for criminal network analysis. J. Comput. Sci. 72: 102063 (2023) - [c23]Hubert Truchan, Evgenii Naumov, Rezaul Abedin, Gregory Palmer, Zahra Ahmadi:
Multimodal Isotropic Neural Architecture with Patch Embedding. ICONIP (1) 2023: 173-187 - [c22]Zahra Ahmadi, Yannis Bertrand, María Isabel Pozo Romero, Estefanía Serral:
Analysing the Foraging Behaviour of Bees Using Process Mining: A Case Study. ICPM Workshops 2023: 5-18 - [c21]Gemma Di Federico, Carlos Fernández-Llatas, Zahra Ahmadi, Mohsen Shirali, Andrea Burattin:
Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study. ICPM Workshops 2023: 223-234 - [c20]Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella:
FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework. KDD 2023: 3140-3150 - [c19]Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang:
MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection. MSR 2023: 334-346 - [i5]Raneen Younis, Abdul Hakmeh, Zahra Ahmadi:
MTS2Graph: Interpretable Multivariate Time Series Classification with Temporal Evolving Graphs. CoRR abs/2306.03834 (2023) - 2022
- [j6]Zahra Ahmadi, Fereshteh-Azadi Parand, Farzam Matinfar:
A fuzzy logic-based approach for fuzzy queries over NoSQL graph database. Concurr. Comput. Pract. Exp. 34(1) (2022) - [c18]Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang:
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. DSAA 2022: 1-10 - [c17]Raneen Younis, Sergej Zerr, Zahra Ahmadi:
Multivariate Time Series Analysis: An Interpretable CNN-based Model. DSAA 2022: 1-10 - [c16]Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen, Thanh-Nam Doan:
SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. SIGIR 2022: 3036-3045 - [c15]Hoang H. Nguyen, Nhat-Minh Nguyen, Hong-Phuc Doan, Zahra Ahmadi, Thanh-Nam Doan, Lingxiao Jiang:
MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings. ESEC/SIGSOFT FSE 2022: 1736-1740 - [i4]Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang:
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities. CoRR abs/2208.13252 (2022) - 2021
- [j5]Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer:
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation. Frontiers Artif. Intell. 4: 642263 (2021) - [j4]Zahra Ahmadi, Mostafa Haghi Kashani, Mohammad Nikravan, Ebrahim Mahdipour:
Fog-based healthcare systems: A systematic review. Multim. Tools Appl. 80(30): 36361-36400 (2021) - [c14]Weichen Li, Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Topic-Guided Knowledge Graph Construction for Argument Mining. ICBK 2021: 315-322 - [c13]Thi-Huyen Nguyen, Hoang H. Nguyen, Zahra Ahmadi, Tuan-Anh Hoang, Thanh-Nam Doan:
On the Impact of Dataset Size: A Twitter Classification Case Study. WI/IAT 2021: 210-217 - [i3]Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer:
Focusing Knowledge-based Graph Argument Mining via Topic Modeling. CoRR abs/2102.02086 (2021) - 2020
- [b1]Zahra Ahmadi:
Modeling Recurring Concepts in Single-label and Multi-label Streams. University of Mainz, Germany, 2020 - [i2]Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer:
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation. CoRR abs/2012.08459 (2020)
2010 – 2019
- 2019
- [c12]Zahra Ahmadi, Stefan Kramer:
Modeling Multi-label Recurrence in Data Streams. ICBK 2019: 9-16 - 2018
- [j3]Zahra Ahmadi, Stefan Kramer:
Modeling recurring concepts in data streams: a graph-based framework. Knowl. Inf. Syst. 55(1): 15-44 (2018) - [j2]Zahra Ahmadi, Stefan Kramer:
A label compression method for online multi-label classification. Pattern Recognit. Lett. 111: 64-71 (2018) - [c11]Patrick Rehn, Zahra Ahmadi, Stefan Kramer:
Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data. DSAA 2018: 199-208 - [c10]Zahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron, Stefan Kramer:
Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports. DSAA 2018: 293-302 - [c9]Derian Boer, Zahra Ahmadi, Stefan Kramer:
Privacy Preserving Client/Vertical-Servers Classification. MIDAS/PAP@PKDD/ECML 2018: 125-140 - [i1]Zahra Ahmadi, Stefan Kramer:
Online Multi-Label Classification: A Label Compression Method. CoRR abs/1804.01491 (2018) - 2017
- [c8]Zahra Ahmadi, Marcin Skowron, Aleksandrs Stier, Stefan Kramer:
An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling. DS 2017: 144-152 - [c7]Zahra Ahmadi, Aleksandrs Stier, Marcin Skowron, Stefan Kramer:
To Parse or Not to Parse: An Experimental Comparison of RNTNs and CNNs for Sentiment Analysis. EMSASW@ESWC 2017 - 2014
- [c6]Rui Li, Zahra Ahmadi, Stefan Kramer:
Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules. ECAI 2014: 519-524 - [c5]Junming Shao, Zahra Ahmadi, Stefan Kramer:
Prototype-based learning on concept-drifting data streams. KDD 2014: 412-421 - 2013
- [j1]Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification. Evol. Syst. 4(1): 43-60 (2013) - [c4]Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
Using a Classifier Pool in Accuracy Based Tracking of Recurring Concepts in Data Stream Classification. LWA 2013: 90-97 - 2012
- [c3]Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
New Management Operations on Classifiers Pool to Track Recurring Concepts. DaWaK 2012: 327-339 - [c2]Zahra Ahmadi, Hamid Beigy:
Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift. HAIS (2) 2012: 526-537 - 2011
- [c1]Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy:
Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection. ICDM Workshops 2011: 588-595
Coauthor Index
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last updated on 2024-07-09 05:17 CEST by the dblp team
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