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Publication search results
found 40 matches
- 2024
- Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi
, Hamid Alinejad-Rokny, Amin Beheshti
, David López-García
, Zhaolin Chen, U. Rajendra Acharya, Juan Manuel Górriz:
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002-2023. Appl. Intell. 54(11-12): 35-79 (2024) - Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A review of Explainable Artificial Intelligence in healthcare. Comput. Electr. Eng. 118: 109370 (2024) - Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Navid Ghassemi, Delaram Sadeghi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Fahime Khozeimeh, Saeid Nahavandi, U. Rajendra Acharya, Juan Manuel Górriz:
Automated detection and forecasting of COVID-19 using deep learning techniques: A review. Neurocomputing 577: 127317 (2024) - Mohammad Bdaqli
, Afshin Shoeibi
, Parisa Moridian
, Delaram Sadeghi
, Mozhde Firoozi Pouyani
, Ahmad Shalbaf, Juan Manuel Górriz
:
Diagnosis of Parkinson Disease from EEG Signals Using a CNN-LSTM Model and Explainable AI. IWINAC 2024: 128-138 - Afshin Shoeibi
, Mahboobeh Jafari
, Delaram Sadeghi
, Roohallah Alizadehsani
, Hamid Alinejad-Rokny
, Amin Beheshti
, Juan Manuel Górriz
:
Early Diagnosis of Schizophrenia in EEG Signals Using One Dimensional Transformer Model. IWINAC 2024: 139-149 - 2023
- Afshin Sadeghi:
Multiple Objective Learning for Effective Knowledge Graph Embedding. University of Bonn, Germany, 2023 - Mohsen Farbood
, Mokhtar Shasadeghi
, Taher Niknam
, Behrouz Safarinejadian
, Afshin Izadian
:
Cooperative H∞ Robust Move Blocking Fuzzy Model Predictive Control of Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(12): 7707-7718 (2023) - Zahra Sadeghi
, Roohallah Alizadehsani, Mehmet Akif Cifci
, Samina Kausar, Rizwan Rehman
, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain
, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladík, Saeid Nahavandi, Panos M. Pardalos:
A Brief Review of Explainable Artificial Intelligence in Healthcare. CoRR abs/2304.01543 (2023) - Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López-García, Zhaolin Chen
, U. Rajendra Acharya, Juan Manuel Górriz:
Empowering Precision Medicine: AI-Driven Schizophrenia Diagnosis via EEG Signals: A Comprehensive Review from 2002-2023. CoRR abs/2309.12202 (2023) - 2022
- Delaram Sadeghi, Afshin Shoeibi
, Navid Ghassemi
, Parisa Moridian, Ali Khadem
, Roohallah Alizadehsani, Mohammad Teshnehlab, Juan Manuel Górriz, Fahime Khozeimeh, Yu-Dong Zhang, Saeid Nahavandi, U. Rajendra Acharya
:
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works. Comput. Biol. Medicine 146: 105554 (2022) - Afshin Jafari
, S. Peyman Shariatpanahi
, Mohammad Mahdi Zolfagharzadeh
, Mahsa Abdollahyar, Maryam Sadeghipour:
From creativity to innovation and the role of competition networks: a cancer inspired two-step evolutionary agent-based model. J. Simulation 16(5): 437-447 (2022) - Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, Salam Salloum-Asfar
, Delaram Sadeghi, Marjane Khodatars, Afshin Shoeibi, Abbas Khosravi, Sai Ho Ling, Abdulhamit Subasi, Sara A. Abdulla, Roohallah Alizadehsani, Juan Manuel Górriz, U. Rajendra Acharya
:
Automatic Autism Spectrum Disorder Detection Using Artificial Intelligence Methods with MRI Neuroimaging: A Review. CoRR abs/2206.11233 (2022) - 2021
- Mohsen Farbood, Mohammad Veysi
, Mokhtar Shasadeghi
, Afshin Izadian
, Taher Niknam
, Jamshid Aghaei
:
Robustness Improvement of Computationally Efficient Cooperative Fuzzy Model Predictive-Integral Sliding Mode Control of Nonlinear Systems. IEEE Access 9: 147874-147887 (2021) - Marjane Khodatars
, Afshin Shoeibi
, Delaram Sadeghi
, Navid Ghaasemi, Mahboobeh Jafari
, Parisa Moridian, Ali Khadem
, Roohallah Alizadehsani
, Assef Zare
, Yinan Kong, Abbas Khosravi, Saeid Nahavandi, Sadiq Hussain
, U. Rajendra Acharya
, Michael Berk
:
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review. Comput. Biol. Medicine 139: 104949 (2021) - Afshin Shoeibi
, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani, Ali Khadem
, Yinan Kong, Saeid Nahavandi, Yu-Dong Zhang
, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models. Frontiers Neuroinformatics 15: 777977 (2021) - Afshin Sadeghi, Xhulia Shahini, Martin Schmitz, Jens Lehmann:
BenchEmbedd: A FAIR Benchmarking tool forKnowledge Graph Embeddings. SEMANTiCS (Posters & Demos) 2021 - Afshin Sadeghi, Hirra Malik, Diego Collarana, Jens Lehmann:
Relational Pattern Benchmarking on the Knowledge Graph Link Prediction Task. NeurIPS Datasets and Benchmarks 2021 - Afshin Sadeghi
, Diego Collarana
, Damien Graux
, Jens Lehmann
:
Embedding Knowledge Graphs Attentive to Positional and Centrality Qualities. ECML/PKDD (2) 2021: 548-564 - Mehwish Alam, Mehdi Ali, Paul Groth, Pascal Hitzler, Jens Lehmann, Heiko Paulheim, Achim Rettinger, Harald Sack, Afshin Sadeghi, Volker Tresp:
Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual, September 17, 2021. CEUR Workshop Proceedings 2997, CEUR-WS.org 2021 [contents] - Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, Parisa Moridian, Ali Khadem, Roohallah Alizadehsani
, Mohammad Teshnehlab, Juan Manuel Górriz, Saeid Nahavandi:
An Overview on Artificial Intelligence Techniques for Diagnosis of Schizophrenia Based on Magnetic Resonance Imaging Modalities: Methods, Challenges, and Future Works. CoRR abs/2103.03081 (2021) - Afshin Shoeibi, Delaram Sadeghi, Parisa Moridian, Navid Ghassemi, Jónathan Heras, Roohallah Alizadehsani
, Ali Khadem, Yinan Kong, Saeid Nahavandi, Juan Manuel Górriz:
Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models. CoRR abs/2109.01120 (2021) - 2020
- Kazem Zare
, Mokhtar Shasadeghi, Afshin Izadian, Taher Niknam, Mohammad Hassan Asemani:
Switching TS fuzzy model-based dynamic sliding mode observer design for non-differentiable nonlinear systems. Eng. Appl. Artif. Intell. 96: 103990 (2020) - Mirza Mohtashim Alam, Mojtaba Nayyeri, Chengjin Xu, Md. Rashad Al Hasan Rony, Hamed Shariat Yazdi, Afshin Sadeghi, Jens Lehmann:
The Effect of Rule Injectionin a Leakage Free Dataset. KR4L@ECAI 2020: 28-35 - Afshin Sadeghi, Damien Graux
, Hamed Shariat Yazdi, Jens Lehmann:
MDE: Multiple Distance Embeddings for Link Prediction in Knowledge Graphs. ECAI 2020: 1427-1434 - Samin Payrosangari
, Afshin Sadeghi
, Damien Graux
, Jens Lehmann
:
Meta-hyperband: Hyperparameter Optimization with Meta-learning and Coarse-to-Fine. IDEAL (2) 2020: 335-347 - Marjane Khodatars, Afshin Shoeibi, Navid Ghassemi, Mahboobeh Jafari, Ali Khadem, Delaram Sadeghi, Parisa Moridian, Sadiq Hussain, Roohallah Alizadehsani
, Assef Zare, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Michael Berk:
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review. CoRR abs/2007.01285 (2020) - Afshin Shoeibi, Marjane Khodatars, Roohallah Alizadehsani
, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Ali Khadem, Delaram Sadeghi, Sadiq Hussain, Assef Zare, Zahra Alizadeh Sani, Javad Bazeli, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, U. Rajendra Acharya, Peng Shi:
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review. CoRR abs/2007.10785 (2020) - 2019
- Afshin Sadeghi
, Sarven Capadisli, Johannes Wilm, Christoph Lange
, Philipp Mayr
:
Opening and Reusing Transparent Peer Reviews with Automatic Article Annotation. Publ. 7(1): 13 (2019) - Afshin Sadeghi, Jens Lehmann:
Linking Physicians to Medical Research Results via Knowledge Graph Embeddings and Twitter. PKDD/ECML Workshops (1) 2019: 622-630 - Afshin Sadeghi, Damien Graux, Jens Lehmann:
MDE: Multi Distance Embeddings for Link Prediction in Knowledge Graphs. CoRR abs/1905.10702 (2019)
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