Publications

Papers, code, and citations. Also on Google Scholar ↗.

2026

NeurIPS · Evaluations & DatasetsAccepted · Proceedings forthcoming

Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling

Yahya Aalaila, Gerrit Großmann, Sebastian Vollmer

A common framework for training, tuning, and evaluating spatiotemporal point-process models under a consistent, reproducible protocol.

Paper ↗Code ↗Documentation ↗

BibTeX

@misc{aalaila2026seahorse,
  title={Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling},
  author={Aalaila, Yahya and Großmann, Gerrit and Vollmer, Sebastian},
  year={2026},
  eprint={2607.01022},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  note={Accepted at NeurIPS 2026, Evaluations and Datasets Track},
  url={https://arxiv.org/abs/2607.01022}
}

2026

Scientific ReportsPublished

Chaotic and complex dynamics expose the limits of counterfactual reasoning

Yahya Aalaila, Gerrit Großmann, Sumantrak Mukherjee, Jonas Wahl, Sebastian Vollmer

An investigation of counterfactual sequence estimation in dynamical systems under noise, parameter uncertainty, and chaos.

Published paper ↗

BibTeX

@article{aalaila2026chaotic,
  title={Chaotic and complex dynamics expose the limits of counterfactual reasoning},
  author={Aalaila, Yahya and Großmann, Gerrit and Mukherjee, Sumantrak and Wahl, Jonas and Vollmer, Sebastian},
  journal={Scientific Reports},
  volume={16},
  pages={16978},
  year={2026},
  doi={10.1038/s41598-026-52349-2}
}

2026

IJCAI · STRL workshopAccepted workshop paper

When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting

Yahya Aalaila, Mouad Elhamdi, Gerrit Großmann, Daniel Jenson, Elizaveta Semenova, Sebastian Vollmer

Studying whether geographical context can compensate for limited event histories in spatially transferred emergency medical service forecasts.

Paper ↗

BibTeX

@misc{aalaila2026context,
  title={When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting},
  author={Aalaila, Yahya and Elhamdi, Mouad and Großmann, Gerrit and Jenson, Daniel and Semenova, Elizaveta and Vollmer, Sebastian},
  year={2026},
  eprint={2607.01082},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  url={https://arxiv.org/abs/2607.01082}
}

2026

arXivPreprint

HawkesNest: A Multi-Axis Synthetic Benchmark for Spatiotemporal Pattern Complexity

Yahya Aalaila, Sumantrak Mukherjee, Gerrit Großmann, Sebastian Vollmer

Controlled synthetic event patterns for diagnosing the behavior of spatiotemporal models against known generative mechanisms.

Paper ↗Code ↗

BibTeX

@misc{aalaila2026hawkesnest,
  title={HawkesNest: A Multi-Axis Synthetic Benchmark for Spatiotemporal Pattern Complexity},
  author={Aalaila, Yahya and Mukherjee, Sumantrak and Großmann, Gerrit and Vollmer, Sebastian},
  year={2026},
  eprint={2606.16863},
  archivePrefix={arXiv},
  primaryClass={cs.LG},
  url={https://arxiv.org/abs/2606.16863}
}

2026

IEEE AccessPublished

Heavy-Tailed Neighbor Retrieval Visualizer

Mouad Elhamdi, Yahya Aalaila, El Mehdi Amhoud, Diego Hernán Peluffo-Ordóñez

Paper ↗

BibTeX

@article{elhamdi2026heavy,
 author={Elhamdi, Mouad and Aalaila, Yahya and Amhoud, El Mehdi and Peluffo-Ord{\'o}{\~n}ez, Diego Hern{\'a}n},
 title={Heavy-Tailed Neighbor Retrieval Visualizer},
 journal={IEEE Access}, year={2026}, volume={14}, pages={67518--67534},
 doi={10.1109/ACCESS.2026.3687810}, keywords={journal}}

Earlier work, 2021–2024 (9 papers)

2024

SN Computer SciencePublished

Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction

Yahya Aalaila, Ismail Bachchar, Hind Raki, Sami Bamansour, Mouad Elhamdi, Kaoutar Benghzial, MacArthur Ortega-Bustamante, Lorena Guachi-Guachi, Diego H. Peluffo-Ordóñez

Paper ↗

BibTeX

@article{aalaila2024joint,
 author={Aalaila, Yahya and Bachchar, Ismail and Raki, Hind and Bamansour, Sami and Elhamdi, Mouad and Benghzial, Kaoutar and Ortega-Bustamante, MacArthur and Guachi-Guachi, Lorena and Peluffo-Ord{\'o}{\~n}ez, Diego H.},
 title={Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction},
 journal={SN Computer Science}, year={2024}, volume={5}, number={1}, eid={75},
 doi={10.1007/s42979-023-02405-9}, keywords={journal}}

2024

FoodsPublished

Combining AI Tools with Non-Destructive Technologies for Crop-Based Food Safety: A Comprehensive Review

Hind Raki, Yahya Aalaila, Ayoub Taktour, Diego H. Peluffo-Ordóñez

Paper ↗

BibTeX

@article{raki2024food,
 author={Raki, Hind and Aalaila, Yahya and Taktour, Ayoub and Peluffo-Ord{\'o}{\~n}ez, Diego H.},
 title={Combining {AI} Tools with Non-Destructive Technologies for Crop-Based Food Safety: A Comprehensive Review},
 journal={Foods}, year={2024}, volume={13}, number={1}, eid={11},
 doi={10.3390/foods13010011}, keywords={journal}}

2024

Intelligent Computing: Proceedings of the 2024 Computing ConferencePublished

Kernelized Extension for Multiple-Expert-Learning Classifiers Using Support Vector Machines

Mohammed Bajja, Yahya Aalaila, Ana C. Umaquinga-Criollo, Lorena Guachi-Guachi, Diego H. Peluffo-Ordóñez

Paper ↗

BibTeX

@inproceedings{bajja2024kernelized,
 author={Bajja, Mohammed and Aalaila, Yahya and Umaquinga-Criollo, Ana C. and Guachi-Guachi, Lorena and Peluffo-Ord{\'o}{\~n}ez, Diego H.},
 title={Kernelized Extension for Multiple-Expert-Learning Classifiers Using Support Vector Machines},
 booktitle={Intelligent Computing: Proceedings of the 2024 Computing Conference},
 year={2024}, pages={66--79}, doi={10.1007/978-3-031-62273-1_5}, keywords={conference}}

2023

AtmospherePublished

GHG Global Emission Prediction of Synthetic N Fertilizers Using Expectile Regression Techniques

Kaoutar Benghzial, Hind Raki, Sami Bamansour, Mouad Elhamdi, Yahya Aalaila, Diego H. Peluffo-Ordóñez

Paper ↗

BibTeX

@article{benghzial2023ghg,
 author={Benghzial, Kaoutar and Raki, Hind and Bamansour, Sami and Elhamdi, Mouad and Aalaila, Yahya and Peluffo-Ord{\'o}{\~n}ez, Diego H.},
 title={{GHG} Global Emission Prediction of Synthetic {N} Fertilizers Using Expectile Regression Techniques},
 journal={Atmosphere}, year={2023}, volume={14}, number={2}, eid={283},
 doi={10.3390/atmos14020283}, keywords={journal}}

2023

Computational Science and Its Applications – ICCSA 2023Published

Interactive Information Visualization Models: A Systematic Literature Review

MacArthur Ortega-Bustamante, Waldo Hasperué, Diego H. Peluffo-Ordóñez, Daisy Imbaquingo, Hind Raki, Yahya Aalaila, Mouad Elhamdi, Lorena Guachi-Guachi

Paper ↗

BibTeX

@inproceedings{ortega2023interactive,
 author={Ortega-Bustamante, MacArthur and Hasperu{\'e}, Waldo and Peluffo-Ord{\'o}{\~n}ez, Diego H. and Imbaquingo, Daisy and Raki, Hind and Aalaila, Yahya and Elhamdi, Mouad and Guachi-Guachi, Lorena},
 title={Interactive Information Visualization Models: A Systematic Literature Review},
 booktitle={Computational Science and Its Applications -- ICCSA 2023},
 year={2023}, pages={661--676}, doi={10.1007/978-3-031-36805-9_43}, keywords={conference}}

2023

TechRxivPreprint

Semi Supervised NCC: Introducing Prior Knowledge To Normalized Cut Clustering

Yahya Aalaila, Sami Bamansour, Mouad Elhamdi, Diego H. Peluffo-Ordóñez

Paper ↗

BibTeX

@misc{aalaila2023semi,
 author={Aalaila, Yahya and Bamansour, Sami and Elhamdi, Mouad and Peluffo-Ord{\'o}{\~n}ez, Diego H.},
 title={Semi Supervised {NCC}: Introducing Prior Knowledge To Normalized Cut Clustering},
 year={2023}, doi={10.36227/techrxiv.24290146.v2}, note={TechRxiv preprint}, keywords={preprint}}

2022

MembranesPublished

Modelling of Proton Exchange Membrane Fuel Cells with Sinusoidal Approach

Catalina González-Castaño, Yahya Aalaila, Carlos Restrepo, Javier Revelo-Fuelagán, Diego Hernán Peluffo-Ordóñez

Paper ↗

BibTeX

@article{gonzalez2022modelling,
 author={Gonz{\'a}lez-Casta{\~n}o, Catalina and Aalaila, Yahya and Restrepo, Carlos and Revelo-Fuelag{\'a}n, Javier and Peluffo-Ord{\'o}{\~n}ez, Diego Hern{\'a}n},
 title={Modelling of Proton Exchange Membrane Fuel Cells with Sinusoidal Approach},
 journal={Membranes}, year={2022}, volume={12}, number={11}, eid={1056},
 doi={10.3390/membranes12111056}, keywords={journal}}

2022

Applied Informatics – ICAI 2022Published

Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches

Hind Raki, Juan González-Vergara, Yahya Aalaila, Mouad Elhamdi, Sami Bamansour, Lorena Guachi-Guachi, Diego H. Peluffo-Ordóñez

Paper ↗

BibTeX

@inproceedings{raki2022crop,
 author={Raki, Hind and Gonz{\'a}lez-Vergara, Juan and Aalaila, Yahya and Elhamdi, Mouad and Bamansour, Sami and Guachi-Guachi, Lorena and Peluffo-Ord{\'o}{\~n}ez, Diego H.},
 title={Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches},
 booktitle={Applied Informatics -- ICAI 2022}, year={2022}, pages={31--44},
 doi={10.1007/978-3-031-19647-8_3}, keywords={conference}}

2021

Intelligent Data Engineering and Automated Learning – IDEAL 2021Published

Developments on Support Vector Machines for Multiple-Expert Learning

Ana C. Umaquinga-Criollo, Juan D. Tamayo-Quintero, María N. Moreno-García, Yahya Aalaila, Diego H. Peluffo-Ordóñez

Paper ↗

BibTeX

@inproceedings{umaquinga2021developments,
 author={Umaquinga-Criollo, Ana C. and Tamayo-Quintero, Juan D. and Moreno-Garc{\'i}a, Mar{\'i}a N. and Aalaila, Yahya and Peluffo-Ord{\'o}{\~n}ez, Diego H.},
 title={Developments on Support Vector Machines for Multiple-Expert Learning},
 booktitle={Intelligent Data Engineering and Automated Learning -- IDEAL 2021},
 year={2021}, pages={587--598}, doi={10.1007/978-3-030-91608-4_57}, keywords={conference}}

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