Publications

Spatio-Temporal Graph Neural Networks for Streamflow Prediction in the Upper Colorado Basin
Akhila and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad and Hosseinzadeh, Pouya and Nassar, Ayman Akkala
Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations
Onur and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali Vural
Pruning Strategies for Backdoor Defense in LLMs
Santosh and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali Chapagain
Predicting Solar Energetic Particle Events with Time Series Shapelets
Omar and Li, Peiyu and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Bahri
AVATAR: Adversarial Autoencoders with Autoregressive Refinement for Time Series Generation
MohammadReza and Muhammad Hamdi, Shah and Filali Boubrahimi, Soukaina EskandariNasab
An End-to-end Ensemble Machine Learning Approach for Predicting High-impact Solar Energetic Particle Events Using Multimodal Data
Pouya and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Hosseinzadeh
Advancing minority stress detection with transformers: insights from the social media datasets
Santosh and Cascalheira, Cory J and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali and Scheer, Jillian R Chapagain
Advancing Hate Speech Detection with Transformers: Insights from the MetaHate
Santosh and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali Chapagain
Transformer Model for Multivariate Time Series Classification: A Case Study of Solar Flare Prediction
Khaznah and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali Alshammari
Toward enhanced prediction of high-impact solar energetic particle events using multimodal time series data fusion models
Pouya and Filali Boubrahimi, Soukaina and Hamdi, Shah Muhammad Hosseinzadeh
Time-series feature selection for solar flare forecasting
Yagnashree and Hosseinzadeh, Pouya and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Velanki
Swan-sf data preprocessing and sampling notebooks
M and Hamdi, SM and Boubrahimi, S Filali EskandariNasab
Spatiotemporal data augmentation of MODIS-landsat water bodies using adversarial networks
Soukaina and Neema, Ashit and Nassar, Ayman and Hosseinzadeh, Pouya and Hamdi, Shah Muhammad Filali Boubrahimi
Solar Flare Prediction through Time Series Data Augmentation
Peiyu and Bahri, Omar and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Li
Seriesgan: Time series generation via adversarial and autoregressive learning
MohammadReza and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali EskandariNasab
Predictive Insights into LGBTQ+ Minority Stress: A Transductive Exploration of Social Media Discourse
Santosh and Zhao, Yuxuan and Rohleen, Taylor K and Hamdi, Shah Muhammad and Filali Boubrahimi, Soukaina and Flinn, Ryan E and Lund, Emily M and Klooster, Dannie and Scheer, Jillian R and Cascalheira, Cory J Chapagain
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
Peiyu and Bahri, Omar and Hosseinzadeh, Pouya and Boubrahimi, Souka\\~A\ Filali and Hamdi, Shah Muhammad Li
Improving solar energetic particle event prediction through multivariate time series data augmentation
Pouya and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Hosseinzadeh
Impacts of data preprocessing and sampling techniques on solar flare prediction from multivariate time series data of photospheric magnetic field parameters
MohammadReza and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali EskandariNasab
Identifying flare-indicative photospheric magnetic field parameters from multivariate time-series data of solar active regions
Khaznah and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali Alshammari
Forest Proximities for Time Series
Ben and Rhodes, Jake and Boubrahimi, Soukaina Filali and Moon, Kevin R Shaw
FAT-LSTM: A Multimodal Data Fusion Model with Gating and Attention-Based LSTM for Time-Series Classification
Pouya and Bahri, Omar and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Hosseinzadeh
EXCON: Extreme Instance-based Contrastive Representation Learning of Severely Imbalanced Multivariate Time Series for Solar Flare Prediction
Onur and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali Vural
Enhancing multivariate time series-based solar flare prediction with multifaceted preprocessing and contrastive learning
MohammadReza and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali EskandariNasab
Enhancing monthly streamflow prediction using meteorological factors and machine learning models in the upper Colorado River basin
Saichand and Nassar, Ayman and Filali Boubrahimi, Soukaina and Hamdi, Shah Muhammad and Hosseinzadeh, Pouya Thota
Discord-based counterfactual explanations for time series classification
Omar and Li, Peiyu and Filali Boubrahimi, Soukaina and Hamdi, Shah Muhammad Bahri
Denoising Optimization-Based Counterfactual Explanations for Time Series Classification
Omar and Li, Peiyu and Hosseinzadeh, Pouya and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Bahri
Contrastive representation learning for predicting solar flares from extremely imbalanced multivariate time series data
Onur and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali Vural
Combining empirical and physics-based models for solar wind prediction
Rob and Filali Boubrahimi, Soukaina and Bahri, Omar and Hamdi, Shah Muhammad Johnson
Cleaned swansf dataset
M and Hamdi, SM and Boubrahimi, S Filali EskandariNasab
Classification of major solar flares from extremely imbalanced multivariate time series data using minimally random convolutional kernel transform
Kartik and Alshammari, Khaznah and Hamdi, Shah Muhammad and Filali Boubrahimi, Soukaina Saini
ChronoGAN: supervised and embedded generative adversarial networks for time series generation
MohammadReza and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali EskandariNasab
An Analysis of Mpox Communication on Reddit vs Twitter During the 2022 Mpox Outbreak
Cory J and Corro, Kelsey and Hong, Chenglin and Rohleen, Taylor K and Trac, Ollie and Beikzadeh, Mehrab and Scheer, Jillian R and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali and Holloway, Ian W Cascalheira
Acts: Adaptive counterfactual explanations for time series data using barycenters
Pouya and Li, Peiyu and Bahri, Omar and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Hosseinzadeh
Review of solar energetic particle prediction models
Kathryn and Egeland, Ricky and Richardson, Ian G and Allison, Clayton and Quinn, Philip and Barzilla, Janet and Kitiashvili, Irina and Sadykov, Viacheslav and Bain, Hazel M and Dierckxsens, Mark and others Whitman
Predicting Linguistically Sophisticated Social Determinants of Health Disparities with Neural Networks: The Case of LGBTQ+ Minority Stress
Cory and Chapagain, Santosh and Flinn, Ryan and Zhao, Yuxuan and Fiali Boubrahimi, Soukaina and Klooster, Dannie and Gonzalez, Alejandra and Lund, Emily and Laprade, Danica and Scheer, Jillian and others Cascalheira
Multiloss-Based Optimization for Time Series Data Augmentation
Omar and Li, Peiyu and Filali Boubrahimi, Soukaina and Muhammad Hamdi, Shah Bahri
Motif alignment for time series data augmentation
Omar and Li, Peiyu and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Bahri
ML-Based Streamflow Prediction in the Upper Colorado River Basin Using Climate Variables Time Series Data. Hydrology 2023, 10, 29
P and Nassar, A and Boubrahimi, SF and Hamdi, SM Hosseinzadeh
Metforc: Classification with meta-learning and multimodal stratified time series forest
Pouya and Bahri, Omar and Li, Peiyu and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Hosseinzadeh
End-to-end attention/transformer model for solar flare prediction from multivariate time series data
Khaznah and Saini, Kartik and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali Alshammari
Counterfactual Explanations for Time Series Data via Learned Saliency Maps
Peiyu and Bahri, Omar and Filali Boubrahimi, Soukaina and Muhammad Hamdi, Shah Li
CAREER: End-to-End Active Region-based Heliospheric Forecasting System Using Multi-spacecraft Data and Machine Learning
Soukaina Filali Boubrahimi
Adversarial attack driven data augmentation for time series classification
Peiyu and Hosseinzadeh, Pouya and Bahri, Omar and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Li
Shapelet-based counterfactual explanations for multivariate time series
Omar and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Bahri
RULE TRANSFORM: ASHAPELET-BASED TEMPORAL ASSOCIATION RULE MINER FOR MULTIVARIATE TIME SERIES CLASSIFICATION
Omar and Hosseinzadeh, Pouya and BOUBRAHIMI, SOUKAINA FILALI and Hamdi, Shah Muhammad Bahri
Multivariate time series-based solar flare prediction by functional network embedding and sequence modeling
Shah Muhammad and Ahmad, Abu Fuad and Filali Boubrahimi, Soukaina Hamdi
Forecasting multivariate time series of the magnetic field parameters of the solar events
Khaznah and Hamdi, Shah Muhammad and Muzaheed, Ali Ahsan and Filali Boubrahimi, Soukaina Alshammari
Feature selection from multivariate time series data: A case study of solar flare prediction
Khaznah and Hamdi, Shah Muhammad and Boubrahimi, Soukaina Filali Alshammari
Combining Physics and Machine Learning-based Models for Full-Energy-Range Solar Energetic Particles Events Prediction
Soukaina Filali Boubrahimi
Classifying minority stress disclosure on social media with bidirectional long short-term memory
Cory J and Hamdi, Shah Muhammad and Scheer, Jillian R and Saha, Koustuv and Boubrahimi, Soukaina Filali and De Choudhury, Munmun Cascalheira
AI-Based Streamflow Prediction in the Upper Colorado River Basin Using Multimodal Spatiotemporal Data
Pouya and Nassar, Ayman and Filali Boubrahimi, Soukaina Hosseinzadeh
Time Series Data Augmentation using Time Warped Auto-Encoders
Md Shain Shahid Oni and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Chowdhury
Spatiotemporal event sequence discovery without thresholds
Berkay Aydin, Soukaina Filali Boubrahimi, Ahmet Kucuk, Bita Nezamdoust, Rafal A Angryk
Spatiotemporal event sequence discovery without thresholds
Berkay and Boubrahimi, Soukaina Filali and Kucuk, Ahmet and Nezamdoust, Bita and Angryk, Rafal A Aydin
Shapelets-based Data Augmentation for Time Series Classification
Peiyu and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad Li
Sequence Model-based End-to-End Solar Flare Classification from Multivariate Time Series Data
Ali Ahsan muhummad and Hamdi, Shah Muhammad and Filali Boubrahimi, Soukaina Muzaheed
SWAN-SF,(2020)
Rafal and Martens, Petrus and Aydin, Berkay and Kempton, Dustin and Mahajan, Sushant and Basodi, Sunitha and Ahmadzadeh, Azim and Cai, Xumin and Filali Boubrahimi, S and Hamdi, Shah Muhammad and others Angryk
Swan-sf
Rafal and Martens, Petrus and Aydin, Berkay and Kempton, Dustin and Mahajan, Sushant and Basodi, Sunitha and Ahmadzadeh, Azim and Cai, Xumin and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad and others Angryk
On the Mining of the Minimal Set of Time Series Data Shapelets
Soukaina Filali and Hamdi, Shah Muhammad and Ma, Ruizhe and Angryk, Rafal A Boubrahimi
Multivariate time series dataset for space weather data analytics
Rafal A and Martens, Petrus C and Aydin, Berkay and Kempton, Dustin and Mahajan, Sushant S and Basodi, Sunitha and Ahmadzadeh, Azim and Cai, Xumin and Filali Boubrahimi, Soukaina and Hamdi, Shah Muhammad and others Angryk
Machine learning in heliophysics and space weather forecasting: a white paper of findings and recommendations
Gelu and Georgoulis, Manolis and Kitiashvili, Irina and Sadykov, Viacheslav and Camporeale, Enrico and Kosovichev, Alexander and Wang, Haimin and Oria, Vincent and Wang, Jason and Angryk, Rafal and others Nita
Machine Learning in Heliophysics and space weather forecasting: a white paper of finding and recommendations
Irina Nikolaevna and Nita, Gelu and Georgoulis, Manolis and Kitiashvili, Irina and Sadykov, Viacheslav and Camporeale, Enrico and Kosovichev, Alexander and Wang, Haimin and Oria, Vincent and Wang, Jason and others Kitiashvili
Evaluation of hierarchical structures for time series data
Ruizhe and Boubrahimi, Soukaina Filali and Angryk, Rafal A and Ma, Zongmin Ma
Tensor decomposition-based node embedding
Shah Muhammad and Filali Boubrahimi, Soukaina and Angryk, Rafal Hamdi
Solar pre-flare classification with time series profiling
Ruizhe and Ahmadzadeh, Azim and Boubrahimi, Soukaina Filali and Georgoulis, Manolis K and Angryk, Rafal A Ma
Segmented dynamic time warping: A comparative and applicational study
Ruizhe and Ahmadzadeh, Azim and Boubrahimi, Soukaina Filali and Angryk, Rafal A Ma
Forecasting space weather hazards for astronauts in deep space
Petrus C and Filali Boubrahimi, S and Aydin, Berkay and Angryk, Rafal Martens
Time Series Distance Density Cluster with Statistical Preprocessing
Ruizhe and Boubrahimi, Soukaina Filali and Angryk, Rafal Ma
Tensor decomposition for neurodevelopmental disorder prediction
Shah Muhammad and Wu, Yubao and Boubrahimi, Soukaina Filali and Angryk, Rafal and Krishnamurthy, Lisa Crystal and Morris, Robin Hamdi
Spatiotemporal interpolation methods for solar event trajectories
Soukaina Filali and Aydin, Berkay and Schuh, Michael A and Kempton, Dustin and Angryk, Rafal A and Ma, Ruizhe Boubrahimi
Segmentation of time series in improving dynamic time warping
Ruizhe and Ahmadzadeh, Azim and Boubrahimi, Soukaina Filali and Angryk, Rafal A Ma
Neuro-Ensemble for Time Series Data Classification
Soukaina Filali and Ma, Ruizhe and Angryk, Rafal Boubrahimi
Neuro-Ensemble
Soukaina Filali and Ma, Ruizhe and Aydin, Berkay and Angryk, Rafal Boubrahimi
Multivariate Time Series Nearest Neighbor Search: A Case Study on Solar Flare Prediction
Soukaina Filali and Angryk, Rafal Boubrahimi
Coronal Mass Ejection Data Clustering and Visualization of Decision Trees
Soukaina Filali Boubrahimi, Ruizhe Ma Rafal Angryk
Biomarker Detection from fMRI-based Complete Functional Connectivity Networks
Shah Muhammad and Aydin, Berkay and Boubrahimi, Soukaina Filali and Angryk, Rafal and Krishnamurthy, Lisa Crystal and Robin, Morris Hamdi
Top-(r\\%, K) spatiotemporal event sequence mining
Berkay and Kucuk, Ahmet and Boubrahimi, Soukaina Filali and Angryk, Rafal A Aydin
Solar flare prediction using multivariate time series decision trees
Ruizhe and Boubrahimi, Soukaina Filali and Hamdi, Shah Muhammad and Angryk, Rafal A Ma
On the prediction of> 100 MeV solar energetic particle events using goes satellite data
Soukaina and Aydin, Berkay and Martens, Petrus and Angryk, Rafal Filali Boubrahimi
An integrated solar database (isd) with extended spatiotemporal querying capabilities
Ahmet and Aydin, Berkay and Boubrahimi, Souaina Filali and Kempton, Dustin and Angryk, Rafal A Kucuk
Spatiotemporal frequent pattern discovery from solar event metadata
Berkay and Angryk, Rafal and Filali Boubrahimi, S and Hamdi, Shah Muhammad Aydin
Spatio-temporal interpolation methods for solar events metadata
Soukaina Filali and Aydin, Berkay and Kempton, Dustin and Angryk, Rafal Boubrahimi
Solev: A video generation framework for solar events from mixed data sources (demo paper)
Soukaina Filali and Aydin, Berkay and Kempton, Dustin and Angryk, Rafal A Boubrahimi
Filling the gaps in solar big data: Interpolation of solar filament event instances
Soukaina Filali and Aydin, Berkay and Kempton, Dustin and Mahajan, Sushant S and Angryk, Rafal Boubrahimi
Temporal rule-based counterfactual explanations for multivariate time series
Omar and Li, Peiyu and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), pages=1244--1249, year=2022, organization=IEEE Bahri
Solar Data Mining at Georgia State University
Rafal and Martens, Petrus C and Schuh, Michael and Aydin, Berkay and Kempton, Dustin and Banda, Juan and Ma, Ruizhe and Naduvil-Vadukootu, Sajitha and Akkineni, Vijay and K\"u\"uk, A and others, booktitle=AGU Fall Meeting Abstracts, pages=SH11A--2225, year=2016 Angryk
Shapelet-Preserving Bootstrapping For Time Series Data Augmentation
Omar and Li, Peiyu and Hosseinzadeh, Pouya and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=2023 International Conference on Machine Learning and Applications (ICMLA), pages=453--458, year=2023, organization=IEEE Bahri
Shapelet-based temporal association rule mining for multivariate time series classification
Omar and Li, Peiyu and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=2022 IEEE International Conference on Big Data (Big Data), pages=242--251, year=2022, organization=IEEE Bahri
Sg-cf: Shapelet-guided counterfactual explanation for time series classification
Peiyu and Bahri, Omar and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=2022 IEEE International Conference on Big Data (Big Data), pages=1564--1569, year=2022, organization=IEEE Li
ScholarWorks@ Georgia State Universit y
Soukaina Filali Boubrahimi
Scalable knn search approximation for time series data
Souka\"\ Filali and Ma, Ruizhe and Aydin, Berkay and Hamdi, Shah Muhammad and Angryk, Rafal, booktitle=2018 24th International Conference on Pattern Recognition (ICPR), pages=970--975, year=2018, organization=IEEE Boubrahimi
Reliable Time Series Counterfactual Explanations Guided by ShapeDBA
Peiyu and Hosseinzadeh, Pouya and Bahri, Omar and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=2024 IEEE International Conference on Big Data (BigData), pages=1574--1579, year=2024, organization=IEEE Li
Physics-informed neural networks for solar wind prediction
Rob and Boubrahimi, Souka\"\ Filali and Bahri, Omar and Hamdi, Shah Muhammad, booktitle=International Conference on Pattern Recognition, pages=273--286, year=2022, organization=Springer Nature Switzerland Cham Johnson
On the mining of time series data counterfactual explanations using barycenters
Souka\"\ and Hamdi, Shah Muhammad, booktitle=Proceedings of the 31st ACM International Conference on Information \\& Knowledge Management, pages=3943--3947, year=2022 Filali Boubrahimi
Multivariate time series dataset for space weather data analytics. Scientific Data 7 (1)(Jul 2020)
RA and Martens, PC and Aydin, B and Kempton, D and Mahajan, SS and Basodi, S and Ahmadzadeh, A and Cai, X and Boubrahimi, SF and Hamdi, SM and others Angryk
Motif-guided time series counterfactual explanations
Peiyu and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=International Conference on Pattern Recognition, pages=203--215, year=2022, organization=Springer Nature Switzerland Cham Li
M-cels: Counterfactual explanation for multivariate time series data guided by learned saliency maps
Peiyu and Bahri, Omar and Boubrahimi, Souka\\\"Ina Filali and Hamdi, Shah Muhammad, booktitle=2024 International Conference on Machine Learning and Applications (ICMLA), pages=713--718, year=2024, organization=IEEE Li
Info-CELS: Informative Saliency Map-Guided Counterfactual Explanation for Time Series Classification
Peiyu and Bahri, Omar and Hosseinzadeh, Pouya and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, journal=Electronics, volume=14, number=7, pages=1311, year=2025, publisher=MDPI Li
Heuristics Significance of Neuro-Ensemble-based Time Series Classification
Souka\"\ Filali and Angryk, Rafal, booktitle=2018 IEEE International Conference on Big Data (Big Data), pages=6--15, year=2018, organization=IEEE Boubrahimi
Graph-based clustering for time series data
Peiyu and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=2021 IEEE International Conference on Big Data (Big Data), pages=4464--4467, year=2021, organization=IEEE Li
Fast counterfactual explanation for solar flare prediction
Peiyu and Bahri, Omar and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), pages=1238--1243, year=2022, organization=IEEE Li
Eick, Christoph F. 77 Elgarroussi, Karima 93 F. Eick, Christoph 93
Wedad and Ali, Faizan and Allahyari, Mehdi and Angin, Pelin and Angryk, Rafal and Arabnia, Hamid Reza and Atzeni, Mattia and Atzori, Maurizio and Aydin, Berkay and Bagavathi, Arunkumar and others Alawad
Designing a Storage Efficient and Faster Heliophysics Events Knowledgebase (HEK)
Andre Kenneth Chase and Filali, Soukaina and K\"u\"uk, Ahmet and Hamdi, Shah, year=2016 Randall
Cels: Counterfactual explanations for time series data via learned saliency maps
Peiyu and Bahri, Omar and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=2023 IEEE International Conference on Big Data (BigData), pages=718--727, year=2023, organization=IEEE Li
Cacciagrano, Diletta 453 Cai, Yi 137 Cakiroglu, Mert 439 Calyam, Prasad 106, 238 Cao, Min 558
Sami and Aguiar, Rui L and Akbas, Esra and Aladwani, Tahani and Almolhis, Nawaf and Alnegheimish, Sarah and Anagnostopoulos, Christos and Angryk, Rafal A and Antoine, Violaine and Antunes, M\\'ario and others Achour
Attention-based counterfactual explanation for multivariate time series
Peiyu and Bahri, Omar and Boubrahimi, Souka\"\ Filali and Hamdi, Shah Muhammad, booktitle=International Conference on Big Data Analytics and Knowledge Discovery, pages=287--293, year=2023, organization=Springer Nature Switzerland Cham Li
A time series classification-based approach for solar flare prediction
Shah Muhammad and Kempton, Dustin and Ma, Ruizhe and Boubrahimi, Souka\"\ Filali and Angryk, Rafal A, booktitle=2017 IEEE International Conference on Big Data (Big Data), pages=2543--2551, year=2017, organization=IEEE Hamdi
A scalable segmented dynamic time warping for time series classification
Ruizhe and Ahmadzadeh, Azim and Boubrahimi, Souka\"\ Filali and Angryk, Rafal A, booktitle=International Conference on Artificial Intelligence and Soft Computing, pages=407--419, year=2019, organization=Springer International Publishing Cham Ma