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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)- [c28]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 - [c27]Sajjad Kamali Siahroudi, Zahra Ahmadi, Daniel Kudenko:
Effectively Capturing Label Correlation for Tabular Multi-Label Classification. CIKM 2024: 1060-1069 - [c26]Hubert Truchan, Christian Kalfar, Zahra Ahmadi:
LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting. CIKM 2024: 2271-2281 - [c25]Zahra Ahmadi, Zijian Zhang, Hoang H. Nguyen, Sergio Burdisso, Srikanth R. Madikeri, Petr Motlícek, Erinç Dikici, Gerhard Backfried, Marek Kovác, Kvetoslav Malý, Daniel Kudenko:
Entity Matching Across Small Networks Using Node Attributes. ECAI 2024: 4602-4609 - [c24]Petr Motlícek, Erinç Dikici, Srikanth R. Madikeri, Pradeep Rangappa, Miroslav Jánosík, Gerhard Backfried, Dorothea Thomas-Aniola, Maximilian Schürz, Johan Rohdin, Petr Schwarz, Marek Kovác, Kvetoslav Malý, Dominik Bobos, Mathias Leibiger, Costas Kalogiros, Andreas Alexopoulos, Daniel Kudenko, Zahra Ahmadi, Hoang H. Nguyen, Aravind Krishnan, Dawei Zhu, Dietrich Klakow, Maria Jofre, Francesco Calderoni, Denis Marraud, Nikolaos Koutras, Nikos Nikolau, Christiana Aposkiti, Panagiotis Douris, Konstantinos Gkountas, Eleni-Konstantina Sergidou, Wauter Bosma, Joshua Hughes, Hellenic Police Team:
ROXSD: The ROXANNE Multimodal and Simulated Dataset for Advancing Criminal Investigations. Odyssey 2024: 17-24 - [i11]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) - [i10]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) - [i9]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) - [i8]Zahra Ahmadi, Peter R. Lewis, Mahadeo A. Sukhai:
Reporting Risks in AI-based Assistive Technology Research: A Systematic Review. CoRR abs/2407.12035 (2024) - [i7]Mohsen Shirali, Mohammadreza Fani Sani, Zahra Ahmadi, Estefanía Serral:
LLM-based event abstraction and integration for IoT-sourced logs. CoRR abs/2409.03478 (2024) - [i6]Mohsen Falah Rad, Kamrad Khoshhal Roudposhti, Mohammad Hassan Khoobkar, Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas:
DAMMI:Daily Activities in a Psychologically Annotated Multi-Modal IoT dataset. CoRR abs/2410.04152 (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 2024-11-15 19:34 CET by the dblp team
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