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Hasan Kurban
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2020 – today
- 2025
[j11]Mert Onur Cakiroglu
, Hasan Kurban
, Elham Buxton
, Mehmet M. Dalkilic:
A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet. IEEE Access 13: 123182-123198 (2025)
[j10]Parichit Sharma, Sarthak Mishra, Hasan Kurban
, Mehmet M. Dalkiliç:
p-clustval: a novel p-adic approach for enhanced clustering of high-dimensional single-cell RNASeq data. Int. J. Data Sci. Anal. 20(4): 4051-4066 (2025)
[j9]Can Polat
, Erchin Serpedin, Mustafa Kurban
, Hasan Kurban
:
CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials. Mach. Learn. Sci. Technol. 6(2): 30603 (2025)
[j8]Samir Abdaljalil
, Hasan Kurban
, Rachad Atat
, Erchin Serpedin
, Khalid A. Qaraqe
:
Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs. IEEE Open J. Comput. Soc. 6: 1100-1109 (2025)
[j7]Fahrettin Ay
, Saud Althunibat
, Khalid A. Qaraqe
, Hasan Kurban
:
A Noise-Adaptive Machine Learning Framework for Optimizing User Grouping in Dynamic IM-OFDMA Systems. IEEE Trans. Commun. 73(3): 1862-1878 (2025)
[c11]Muhammed Adil Yatkin
, Mihkel Kõrgesaar
, Jani Romanoff
, Joshua Stuckner, Ümit Islak
, Hasan Kurban
:
Exploring Various Sequential Learning Methods for Deformation History Modeling. EANN (1) 2025: 168-180
[i15]Samir Abdaljalil, Filippo Pallucchini
, Andrea Seveso
, Hasan Kurban, Fabio Mercorio, Erchin Serpedin:
SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs. CoRR abs/2503.03032 (2025)
[i14]Samir Abdaljalil, Hasan Kurban, Parichit Sharma, Erchin Serpedin, Rachad Atat:
SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs. CoRR abs/2503.05980 (2025)
[i13]Samir Abdaljalil, Hasan Kurban, Erchin Serpedin:
HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations. CoRR abs/2503.07833 (2025)
[i12]Muhammed Adil Yatkin, Mihkel Kõrgesaar, Jani Romanoff, Ümit Islak, Hasan Kurban:
Exploring Various Sequential Learning Methods for Deformation History Modeling. CoRR abs/2504.03818 (2025)
[i11]Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban:
Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding. CoRR abs/2505.12137 (2025)
[i10]Can Polat, Mehmet Tuncel, Hasan Kurban, Erchin Serpedin, Mustafa Kurban:
xChemAgents: Agentic AI for Explainable Quantum Chemistry. CoRR abs/2505.20574 (2025)
[i9]Mert Onur Cakiroglu, Idil Bilge Altun, Hasan Kurban, Elham Buxton, Mehmet M. Dalkilic:
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting. CoRR abs/2505.22768 (2025)
[i8]Mohamed Rayan Barhdadi, Hasan Kurban, Hussein Alnuweiri:
PhysicsNeRF: Physics-Guided 3D Reconstruction from Sparse Views. CoRR abs/2505.23481 (2025)
[i7]Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban:
Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework. CoRR abs/2506.00302 (2025)
[i6]Samir Abdaljalil, Hasan Kurban, Khalid A. Qaraqe, Erchin Serpedin:
Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models. CoRR abs/2506.07106 (2025)
[i5]Can Polat, Hasan Kurban, Erchin Serpedin, Mustafa Kurban:
Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning. CoRR abs/2506.13051 (2025)
[i4]Parichit Sharma, Marcin Stanislaw, Hasan Kurban, M. Oguzhan Külekci, Mehmet M. Dalkilic:
Geometric-k-means: A Bound Free Approach to Fast and Eco-Friendly k-means. CoRR abs/2508.06353 (2025)
[i3]Mohamed Rayan Barhdadi, Mehmet Tuncel, Erchin Serpedin, Hasan Kurban:
EMPATHIA: Multi-Faceted Human-AI Collaboration for Refugee Integration. CoRR abs/2508.07671 (2025)
[i2]Samir Abdaljalil, Erchin Serpedin, Khalid A. Qaraqe, Hasan Kurban:
Evaluating Multilingual and Code-Switched Alignment in LLMs via Synthetic Natural Language Inference. CoRR abs/2508.14735 (2025)
[i1]Samir Abdaljalil, Erchin Serpedin, Khalid A. Qaraqe, Hasan Kurban:
Audit-of-Understanding: Posterior-Constrained Inference for Mathematical Reasoning in Language Models. CoRR abs/2510.10252 (2025)- 2024
[j6]Mert Onur Cakiroglu
, Hasan Kurban
, Parichit Sharma
, M. Oguzhan Külekci, Elham Khorasani Buxton, Maryam Raeeszadeh-Sarmazdeh, Mehmet M. Dalkilic:
An extended de Bruijn graph for feature engineering over biological sequential data. Mach. Learn. Sci. Technol. 5(3): 35020 (2024)
[j5]Can Polat
, Mustafa Kurban
, Hasan Kurban
:
Multimodal neural network-based predictive modeling of nanoparticle properties from pure compounds. Mach. Learn. Sci. Technol. 5(3): 45062 (2024)
[c10]Mert Onur Cakiroglu, Hasan Kurban
, Elham Khorasani Buxton, Mehmet M. Dalkilic:
A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract). DSAA 2024: 1-3
[c9]Parichit Sharma, Sarthak Mishra, Hasan Kurban
, Mehmet M. Dalkilic:
$p$-ClustVal: A Novel $p$-Adic Approach for Enhanced Clustering of High-Dimensional scRNASeq Data (Extended Abstract). DSAA 2024: 1-3- 2023
[c8]Ganesh Arkanath, Nishad Gupta, Hasan Kurban
, Parichit Sharma, K. R. Madhavan, Elham Khorasani Buxton, Mehmet M. Dalkilic:
Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics. IEEE Big Data 2023: 4268-4275- 2022
[j4]Marcin Malec, Hasan Kurban
, Mehmet M. Dalkilic:
ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data. BMC Bioinform. 23(1): 291 (2022)
[j3]Parichit Sharma
, Hasan Kurban
, Mehmet M. Dalkilic:
DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization. SoftwareX 17: 100944 (2022)
2010 – 2019
- 2018
[c7]Kurt Zimmer, Hasan Kurban
, Mark Jenne, Logan Keating, Perry Maull, Mehmet M. Dalkilic:
Using Data Analytics to Optimize Public Transportation on a College Campus. DSAA 2018: 460-469- 2017
[j2]Hasan Kurban
, Mark Jenne, Mehmet M. Dalkilic:
Using data to build a better EM: EM* for big data. Int. J. Data Sci. Anal. 4(2): 83-97 (2017)
[c6]Hasan Kurban
, Can Kockan, Mark Jenne, Mehmet M. Dalkilic:
Case Study: Clustering Big Stellar Data with EM. BDCAT 2017: 271-272
[c5]Hasan Kurban
, Mehmet M. Dalkilic:
A novel approach to optimization of iterative machine learning algorithms: Over heap structure. IEEE BigData 2017: 102-109
[c4]Hasan Kurban
, Can Kockan, Mark Jenne, Mehmet M. Dalkilic:
Improving expectation maximization algorithm over stellar data. IEEE BigData 2017: 2559-2568- 2016
[c3]Hasan Kurban
, Mark Jenne, Mehmet M. Dalkilic:
EM*: An EM Algorithm for Big Data. DSAA 2016: 312-320- 2015
[c2]Hussein Mohsen
, Hasan Kurban
, Kurt Zimmer, Mark Jenne, Mehmet M. Dalkiliç:
Red-RF: Reduced Random Forest for Big Data Using Priority Voting & Dynamic Data Reduction. BigData Congress 2015: 118-125- 2014
[j1]Mark Jenne, Owen Boberg, Hasan Kurban
, Mehmet M. Dalkilic:
Studying the Milky Way Galaxy Using ParaHeap-k. Computer 47(9): 26-33 (2014)
[c1]Hussein Mohsen
, Hasan Kurban
, Mark Jenne, Mehmet M. Dalkilic:
A new set of Random Forests with varying dynamic data reduction and voting techniques. DSAA 2014: 399-405
Coauthor Index
aka: Mehmet M. Dalkiliç

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last updated on 2025-12-28 01:30 CET by the dblp team
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