What the group has published, and what its members brought with them.

Challenges in Deep Learning-Based Small Organ Segmentation: A Benchmarking Perspective for Medical Research with Limited Datasets

Phongsakon Mark Konrad, Andrei-Alexandru Popa, Yaser Sabzehmeidani, Liang Zhong, Madhulika Tripathy, Andrei Constantinescu, Elisa A. Liehn, Serkan Ayvaz

Biomedical Signal Processing and Control

Self-Reports Do Not Identify Self-Models: An Identifiability Test for Counterfactual Reportsoral

Phongsakon Mark Konrad, Toygar Tanyel, Serkan Ayvaz

Philosophy Meets Machine Learning: What Counts As Trustworthy? workshop at ICML 2026

Decoded but Unused: Instruction Tuning Routes Moral Framing into the Judgment Readout

Phongsakon Mark Konrad, Toygar Tanyel, Serkan Ayvaz

Mechanistic Interpretability workshop at ICML 2026

A Path Already Walked: On Inheriting Network-Neuroscience Tools for Mechanistic Interpretability

Phongsakon Mark Konrad, Toygar Tanyel, Serkan Ayvaz

Mechanistic Interpretability workshop at ICML 2026

Data-driven warranty modeling for multi-state deteriorating products with stochastic repair times

Parisa Niloofar, Hashem Vahdani, Serkan Ayvaz, Sanja Lazarova-Molnar

Reliability Engineering & System Safety 275, 112679

PIPER: Content-Based Table Search via Profiling and LLM-Generated Pseudoqueries

Riccardo Terrenzi, Matteo Falconi, Serkan Ayvaz, Pierluigi Plebani

Database and Expert Systems Applications (DEXA 2026), Graz · LNCS, 197–212

Faithful or Findable? Evaluating LLM-Generated Metadata for RDF Dataset Search

Riccardo Terrenzi, Serkan Ayvaz

SynthIR workshop at SIGIR 2026

A Reference Architecture for Agentic Hybrid Retrieval in Dataset Search

Riccardo Terrenzi, Phongsakon Mark Konrad, Tim Lukas Adam, Serkan Ayvaz

Software Architecture and Machine Learning (SAML 2026) workshop at ICSA 2026

Architecture Without Architects: How AI Coding Agents Shape Software Architecture

Phongsakon Mark Konrad, Tim Lukas Adam, Riccardo Terrenzi, Serkan Ayvaz

SAGAI 2026 workshop at ICSA 2026

CAKE: Cloud Architecture Knowledge Evaluation of Large Language Models

Tim Lukas Adam, Phongsakon Mark Konrad, Riccardo Terrenzi, Florian Girardo Lukas, Rahime Yilmaz, Krzysztof Sierszecki, Serkan Ayvaz

Knowledge-Driven Architectures for AI Systems (KDA-AI 2026) workshop at ICSA 2026

Beyond Major Floods: Deep Learning for Detecting Shallow Water Inundation in Agricultural Areas

Phongsakon Mark Konrad, Toygar Tanyel, Serkan Ayvaz

Knowledge-Based and Intelligent Information & Engineering Systems (KES 2025) · Procedia Computer Science 270, 301–310

A Big Data Analytics System for Predicting Suicidal Ideation in Real-Time Based on Social Media Streaming Data

Mohamed A. Allayla, Serkan Ayvaz

Data Science, Technology and Applications (DATA 2025), 132–143

POE-ML: An Automated Pipeline for Optimization and Evaluation of Machine Learning

Malene Christiane Nielsen, Serkan Ayvaz

IEEE International Conference on Software Architecture Companion (ICSA-C 2025), 508–515

Developing Linguistic Patterns to Mitigate Inherent Human Bias in Offensive Language Detection

Toygar Tanyel, Besher Alkurdi, Serkan Ayvaz

Turkish Journal of Electrical Engineering and Computer Sciences 32(6), 829–848

Routing Subspaces: Auditing Evaluation-to-Deployment Mismatch in Fine-Tuned Language Models

Phongsakon Mark Konrad, Toygar Tanyel, Serkan Ayvaz

arXiv:2607.20436

Acceptance Cards: A Four-Diagnostic Standard for Safe Fine-Tuning Defense Claims

Phongsakon Mark Konrad, Toygar Tanyel, Serkan Ayvaz

arXiv:2605.10575

The Open-Box Fallacy: Why AI Deployment Needs a Calibrated Verification Regime

Phongsakon Mark Konrad, Tim Lukas Adam, Ane Cathrine Holst Merrild, Riccardo Terrenzi, Rebecca De Rosa, Toygar Tanyel, Serkan Ayvaz

arXiv:2605.10601

Why Neighborhoods Matter: Traversal Context and Provenance in Agentic GraphRAG

Riccardo Terrenzi, Maximilian von Zastrow, Serkan Ayvaz

arXiv:2605.15109

Non-Destructive Prediction of Fruit Ripeness and Firmness Using Hyperspectral Imaging and Lightweight Machine Learning Models

Phongsakon Mark Konrad, Casper Kunstmann-Olsen, Jacek Fiutowski, Serkan Ayvaz

arXiv:2604.22788

Beyond Known Reality: Exploiting Counterfactual Explanations for Medical Research

Toygar Tanyel, Serkan Ayvaz, Bilgin Keserci

arXiv:2307.02131

Annotation-efficient, patch-based, explainable deep learning using curriculum method for breast cancer detection in screening mammography

Özden Çamurdan, Toygar Tanyel, Esma Aktufan Çerekçi, Deniz Alış, Emine Meltem, Nurper Denizoğlu, Mustafa Ege Şeker, İlkay Öksüz, Ercan Karaarslan

Insights into Imaging 16, 60

Interpretable ECG analysis for myocardial infarction detection through counterfactuals

Toygar Tanyel, Sezgin Atmaca, Kaan Gökçe, M. Yiğit Balık, Arda Güler, Emre Aslanger, İlkay Öksüz

Biomedical Signal Processing and Control 102, 107227

Mammographic Breast Positioning Assessment via Deep Learning

Toygar Tanyel, Nurper Denizoğlu, Mustafa Ege Şeker, Deniz Alış, Esma Aktufan Çerekçi, Ercan Karaarslan, Erkin Aribal, İlkay Öksüz

Deep-Breath 2024 workshop at MICCAI 2024, Marrakesh · LNCS, 107–116

Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time

Serkan Ayvaz, Koray Alpay

Expert Systems with Applications 173, 114598