Zahra Ahmadi

According to our database, Zahra Ahmadi authored at least 45 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MTS2Graph: Interpretable multivariate time series classification with temporal evolving graphs.

Raneen Younis, Abdul Hakmeh, Zahra Ahmadi

Pattern Recognit., 2024

DAMMI:Daily Activities in a Psychologically Annotated Multi-Modal IoT dataset.

Mohsen Falah Rad, Kamrad Khoshhal Roudposhti, Mohammad Hassan Khoobkar, Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas

CoRR, 2024

LLM-based event abstraction and integration for IoT-sourced logs.

Mohsen Shirali, Mohammadreza Fani Sani, Zahra Ahmadi, Estefanía Serral

CoRR, 2024

Reporting Risks in AI-based Assistive Technology Research: A Systematic Review.

Zahra Ahmadi, Peter R. Lewis, Mahadeo A. Sukhai

CoRR, 2024

Towards Precision Healthcare: Robust Fusion of Time Series and Image Data.

Ali Rasekh, Reza Heidari, Amir Hosein Haji Mohammad Rezaie, Parsa Sharifi Sedeh, Zahra Ahmadi, Prasenjit Mitra, Wolfgang Nejdl

CoRR, 2024

A process mining-based error correction approach to improve data quality of an IoT-sourced event log.

Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas, Jose-Luis Bayo-Monton, Gemma Di Federico

CoRR, 2024

Synergy of Information in Multimodal IoT Systems - Discovering the impact of daily behaviour routines on physical activity level.

Mohsen Shirali, Zahra Ahmadi, Carlos Fernández-Llatas, Jose-Luis Bayo-Monton

CoRR, 2024

ROXSD: The ROXANNE Multimodal and Simulated Dataset for Advancing Criminal Investigations.

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

Proceedings of the Odyssey 2024: The Speaker and Language Recognition Workshop, 2024

Entity Matching Across Small Networks Using Node Attributes.

Zahra Ahmadi, Zijian Zhang, Hoang H. Nguyen, Sergio Burdisso, Srikanth R. Madikeri, Petr Motlícek, Erinç Dikici, Gerhard Backfried, Marek Kovác, Kvetoslav Malý, Daniel Kudenko

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting.

Hubert Truchan, Christian Kalfar, Zahra Ahmadi

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Effectively Capturing Label Correlation for Tabular Multi-Label Classification.

Sajjad Kamali Siahroudi, Zahra Ahmadi, Daniel Kudenko

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Novel Contextualization Method for Process Discovery Using Activity Specialization Hierarchies.

Zahra Ahmadi, Jochen De Weerdt, Estefanía Serral Asensio

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2024

2023

Inductive and transductive link prediction for criminal network analysis.

Zahra Ahmadi, Hoang H. Nguyen, Zijian Zhang, Dmytro Bozhkov, Daniel Kudenko, Maria Jofre, Francesco Calderoni, Noa Cohen, Yosef Solewicz

J. Comput. Sci., September, 2023

The effect of leadership and organisational culture on organisational innovation.

Ruzlin Akter, Shashiprabha Rathnayaka, Zahra Ahmadi

Int. J. Serv. Technol. Manag., 2023

MANDO-HGT: Heterogeneous Graph Transformers for Smart Contract Vulnerability Detection.

Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

FLAMES2Graph: An Interpretable Federated Multivariate Time Series Classification Framework.

Raneen Younis, Zahra Ahmadi, Abdul Hakmeh, Marco Fisichella

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Identifying Variation in Personal Daily Routine Through Process Mining: A Case Study.

Gemma Di Federico, Carlos Fernández-Llatas, Zahra Ahmadi, Mohsen Shirali, Andrea Burattin

Proceedings of the Process Mining Workshops, 2023

Analysing the Foraging Behaviour of Bees Using Process Mining: A Case Study.

Zahra Ahmadi, Yannis Bertrand, María Isabel Pozo Romero, Estefanía Serral

Proceedings of the Process Mining Workshops, 2023

Multimodal Isotropic Neural Architecture with Patch Embedding.

Hubert Truchan, Evgenii Naumov, Rezaul Abedin, Gregory Palmer, Zahra Ahmadi

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

A fuzzy logic-based approach for fuzzy queries over NoSQL graph database.

Zahra Ahmadi, Fereshteh-Azadi Parand, Farzam Matinfar

Concurr. Comput. Pract. Exp., 2022

MANDO-GURU: vulnerability detection for smart contract source code by heterogeneous graph embeddings.

Hoang H. Nguyen, Nhat-Minh Nguyen, Hong-Phuc Doan, Zahra Ahmadi, Thanh-Nam Doan, Lingxiao Jiang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data.

Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen, Thanh-Nam Doan

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multivariate Time Series Analysis: An Interpretable CNN-based Model.

Raneen Younis, Sergej Zerr, Zahra Ahmadi

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities.

Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Fog-based healthcare systems: A systematic review.

Zahra Ahmadi, Mostafa Haghi Kashani, Mohammad Nikravan, Ebrahim Mahdipour

Multim. Tools Appl., 2021

Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation.

Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting, Stefan Kramer

Frontiers Artif. Intell., 2021

Focusing Knowledge-based Graph Argument Mining via Topic Modeling.

Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer

CoRR, 2021

On the Impact of Dataset Size: A Twitter Classification Case Study.

Thi-Huyen Nguyen, Hoang H. Nguyen, Zahra Ahmadi, Tuan-Anh Hoang, Thanh-Nam Doan

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Melbourne VIC Australia, December 14, 2021

Topic-Guided Knowledge Graph Construction for Argument Mining.

Weichen Li, Patrick Abels, Zahra Ahmadi, Sophie Burkhardt, Benjamin Schiller, Iryna Gurevych, Stefan Kramer

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

2020

Modeling Recurring Concepts in Single-label and Multi-label Streams.

Zahra Ahmadi

PhD thesis, 2020

2019

Modeling Multi-label Recurrence in Data Streams.

Zahra Ahmadi, Stefan Kramer

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018

A label compression method for online multi-label classification.

Zahra Ahmadi, Stefan Kramer

Pattern Recognit. Lett., 2018

Modeling recurring concepts in data streams: a graph-based framework.

Zahra Ahmadi, Stefan Kramer

Knowl. Inf. Syst., 2018

Online Multi-Label Classification: A Label Compression Method.

Zahra Ahmadi, Stefan Kramer

CoRR, 2018

Privacy Preserving Client/Vertical-Servers Classification.

Derian Boer, Zahra Ahmadi, Stefan Kramer

Proceedings of the ECML PKDD 2018 Workshops, 2018

Forest of Normalized Trees: Fast and Accurate Density Estimation of Streaming Data.

Patrick Rehn, Zahra Ahmadi, Stefan Kramer

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports.

Zahra Ahmadi, Peter Martens, Christopher Koch, Thomas Gottron, Stefan Kramer

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

To Parse or Not to Parse: An Experimental Comparison of RNTNs and CNNs for Sentiment Analysis.

Zahra Ahmadi, Aleksandrs Stier, Marcin Skowron, Stefan Kramer

Proceedings of the 3rd International Workshop at ESWC on Emotions, 2017

An In-Depth Experimental Comparison of RNTNs and CNNs for Sentence Modeling.

Zahra Ahmadi, Marcin Skowron, Aleksandrs Stier, Stefan Kramer

Proceedings of the Discovery Science - 20th International Conference, 2017

2014

Prototype-based learning on concept-drifting data streams.

Junming Shao, Zahra Ahmadi, Stefan Kramer

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Constrained Latent Dirichlet Allocation for Subgroup Discovery with Topic Rules.

Rui Li, Zahra Ahmadi, Stefan Kramer

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013

Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification.

Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy

Evol. Syst., 2013

2012

Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift.

Zahra Ahmadi, Hamid Beigy

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

New Management Operations on Classifiers Pool to Track Recurring Concepts.

Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy

Proceedings of the Data Warehousing and Knowledge Discovery, 2012

2011

Pool and Accuracy Based Stream Classification: A New Ensemble Algorithm on Data Stream Classification Using Recurring Concepts Detection.

Mohammad Javad Hosseini, Zahra Ahmadi, Hamid Beigy

Proceedings of the Data Mining Workshops (ICDMW), 2011