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Θωμάς Παπαστεργίου

An improved SqueezeNet model for the diagnosis of lung cancer in CT scans
2022 · Michail Tsivgoulis, Thomas Papastergiou, et al. · Machine Learning with Applications · 60
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Tensor Decomposition for Multiple‐Instance Classification of High‐Order Medical Data
2018 · Thomas Papastergiou, Evangelia I. Zacharaki, et al. · Complexity · 33
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On clustering tree structured data with categorical nature
2008 · B. Boutsinas, T. Papastergiou · Pattern Recognition · 20
Elucidating the role of PRMTs in prostate cancer using open access databases and a patient cohort dataset.
2023 · Ioanna Maria Grypari, Ioanna Pappa, et al. · PubMed · 14
A distributed proximal gradient descent method for tensor completion
2017 · T. Papastergiou, V. Megalooikonomou · IEEE International Conference on Big Data (BigData) · 10
Instance Selection Techniques for Multiple Instance Classification
2019 · Efstathios Branikas, Thomas Papastergiou, et al. · International Conference on Information, Intelligence, Systems & Applications (IISA) · 5
Platform-aware dynamic data type refinement methodology for radix tree Data Structures
2015 · Thomas Papastergiou, Lazaros Papadopoulos, et al. · International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation · 4
Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks
2025 · Hugo Attali, Thomas Papastergiou, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 3
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A SHAP-based controversy analysis through communities on Twitter
2024 · Samy Benslimane, Thomas Papastergiou, et al. · World Wide Web · 3
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Risk stratification of patients with diffuse large B-cell lymphoma using plasma NMR-based metabolomics at diagnosis
2025 · Aurélie Montagne, Gildas Bertho, et al. · Blood Advances · 2
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An In-depth Analysis of the Linguistic Characteristics of Science Claims on the Web and their Impact on Fact-checking
2025 · Salim Hafid, Sebastian Schellhammer, et al. · ACM Transactions on the Web · 2
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Task-blind adaptive virtual reality: Is it possible to help users without knowing their assignments?
2025 · Simon Besga, Nancy Rodriguez, et al. · Virtual Reality · 2
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Validation of Patras Immunotherapy Score model for prediction and prognosis of patients with advanced NSCLC treated with nivolumab or pembrolizumab: results from a European multicentre study
2022 · Foteinos-Ioannis Dimitrakopoulos, Giannis Mountzios, et al. · Therapeutic Advances in Medical Oncology · 2
TensMIL2: Improved Multiple Instance Classification Through Tensor Decomposition and Instance Selection
2019 · Thomas Papastergiou, Evangelia I. Zacharaki, et al. · European Signal Processing Conference (EUSIPCO) · 2
Discovering NDM-1 inhibitors using molecular substructure embeddings representations
2023 · Thomas Papastergiou, Jérôme Azé, et al. · Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics · 1
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Explaining controversy through community analysis on Twitter
2023 · Samy Benslimane, Thomas Papastergiou, et al. · International Database Engineering and Applications Symposium (IDEAS) · 1
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Multiple Instance Learning Based on Mol2vec Molecular Substructure Embeddings for Discovery of NDM-1 Inhibitors
2022 · Thomas Papastergiou, Jérôme Azé, et al. · Lecture notes in networks and systems · 1
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Selective Fine-Tuning for Deep Transfer Learning
2025 · Nosseiba Ben Salem, Younès Bennani, et al. · Communications in computer and information science
Predictive and prognostic significance of PIOS (Patras Immunotherapy Score) model in patients with advanced NSCLC treated with nivolumab or pembrolizumab: Results from a validation cohort.
2021 · Foteinos-Ioannis D. Dimtrakopoulos, Giannis Socrates Mountzios, et al. · Journal of Clinical Oncology
Distributed tensor decomposition in Machine Learning for fully or partially observed multidimensional big data
2020 · Παπαστεργίου, Θωμάς · Νημερτής
Κατανεμημένη τανυστική αποδόμηση στη μηχανική μάθηση για πλήρως ή μερικώς παρατηρούμενα πολυδιάστατα δεδομένα μεγάλου όγκου
2020 · Θωμάς Παπαστεργίου
Μέτρα ομοιότητας στην τεχνική ομαδοποίησης (clustering): εφαρμογή στην ανάλυση κειμένων (text mining)
2004 · Θωμάς Παπαστεργίου · Νημερτής
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Similarity measures in clustering: an application in text mining
2004 · Παπαστεργίου, Θωμάς · Νημερτής
Works count: 26
Citation count: 165
H-index: 5
I10-index: 5
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