Semanta - Semantic Email in Action. - Simon Scerri; Ioana Giurgiu; Brian Davis 001; Siegfried Handschuh (ESWC, 2009)

Calling the Cloud: Enabling Mobile Phones as Interfaces to Cloud Applications. - Ioana Giurgiu; Oriana Riva; Dejan Juric; Ivan Krivulev; Gustavo Alonso (Middleware, 2009)

Enabling Efficient Placement of Virtual Infrastructures in the Cloud. - Ioana Giurgiu; Claris Castillo; Asser N. Tantawi; Malgorzata Steinder (Middleware, 2012)

Dynamic Software Deployment from Clouds to Mobile Devices. - Ioana Giurgiu; Oriana Riva; Gustavo Alonso (Middleware, 2012)

Understanding performance modeling for modular mobile-cloud applications. - Ioana Giurgiu (ICPE, 2012)

Integrating Cloud Applications with Mobile Devices: Design Principles and Performance Optimizations. - Ioana Giurgiu (2012)

Classifying server behavior and predicting impact of modernization actions. - Jasmina Bogojeska; David Lanyi; Ioana Giurgiu; George Stark; Dorothea Wiesmann (CNSM, 2013)

Analysis of Labor Efforts and their Impact Factors to Solve Server Incidents in Datacenters. - Ioana Giurgiu; Jasmina Bogojeska; Sergii Nikolaiev; George Stark; Dorothea Wiesmann (CCGRID, 2014)

Failure Analysis of Virtual and Physical Machines: Patterns, Causes and Characteristics. - Robert Birke; Ioana Giurgiu; Lydia Y. Chen; Dorothea Wiesmann; Ton Engbersen (DSN, 2014)

Impact of HW and OS type and currency on server availability derived from problem ticket analysis. - Jasmina Bogojeska; Ioana Giurgiu; David Lanyi; George Stark; Dorothea Wiesmann (NOMS, 2014)

Comprehensible Models for Reconfiguring Enterprise Relational Databases to Avoid Incidents. - Ioana Giurgiu; Mirela Botezatu; Dorothea Wiesmann (CIKM, 2015)

Do you know how to configure your enterprise relational database to reduce incidents? - Ioana Giurgiu; Adela-Diana Almasi; Dorothea Wiesmann (IM, 2015)

Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching. - Mirela Madalina Botezatu; Jasmina Bogojeska; Ioana Giurgiu; Hagen Völzer; Dorothea Wiesmann (KDD, 2015)

Predictive Analytics for Server Incident Reduction. - Jasmina Bogojeska; Ioana Giurgiu; David Lanyi; Dorothea Wiesmann (ERCIM News, 2015)

Predicting Disk Replacement towards Reliable Data Centers. - Mirela Madalina Botezatu; Ioana Giurgiu; Jasmina Bogojeska; Dorothea Wiesmann (KDD, 2016)

Predicting DRAM reliability in the field with machine learning. - Ioana Giurgiu; Jácint Szabó; Dorothea Wiesmann; John Bird (Middleware Industry, 2017)

"Memory loss" in commodity hardware?: predicting DIMM failures with machine learning. - Ioana Giurgiu; Dorothea Wiesmann; John Bird (SYSTOR, 2017)

On the adoption and impact of predictive analytics for server incident reduction. - Ioana Giurgiu; Dorothea Wiesmann; Jasmina Bogojeska; David Lanyi; George Stark; Rodney B. Wallace; Marcelo M. Pereira; Alexander A. Hidalgo (IBM J. Res. Dev., 2017)

Additive Explanations for Anomalies Detected from Multivariate Temporal Data. - Ioana Giurgiu; Anika Schumann (CIKM, 2019)

MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks. - Roy Assaf; Ioana Giurgiu; Frank Bagehorn; Anika Schumann (ICDM, 2019)

Explainable Failure Predictions with RNN Classifiers based on Time Series Data. - Ioana Giurgiu; Anika Schumann (CoRR, 2019)

An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems. - Roy Assaf; Ioana Giurgiu; Jonas Pfefferle; Serge Monney; Haris Pozidis; Anika Schumann (IJCAI, 2020)

From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering. - Nuno Mota Goncalves; Ioana Giurgiu; Anika Schumann (CoRR, 2020)

IBM Predictive Analytics Reduces Server Downtime. - Jasmina Bogojeska; Ioana Giurgiu; George Stark; Dorothea Wiesmann (INFORMS J. Appl. Anal., 2021)

CCA: An ML Pipeline for Cloud Anomaly Troubleshooting. - Lili Georgieva; Ioana Giurgiu; Serge Monney; Haris Pozidis; Viviane Potocnik; Mitch Gusat (AAAI, 2022)

Active Learning for Imbalanced Civil Infrastructure Data. - Thomas Frick; Diego Antognini; Mattia Rigotti; Ioana Giurgiu; Benjamin F. Grewe; Cristiano Malossi (ECCV Workshops (7), 2022)

Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures. - Klára Janousková; Mattia Rigotti; Ioana Giurgiu; Cristiano Malossi (ECCV Workshops (7), 2022)

Attention-based Interpretability with Concept Transformers. - Mattia Rigotti; Christoph Miksovic; Ioana Giurgiu; Thomas Gschwind; Paolo Scotton (ICLR, 2022)

Probabilistic Feature Matching for Fast Scalable Visual Prompting. - Thomas Frick; Cezary Skura; Filip Janicki; Roy Assaf; Niccolò Avogaro; Daniel Caraballo; Yagmur Gizem Cinar; Brown Ebouky; Ioana Giurgiu; Takayuki Katsuki; Piotr Kluska; Cristiano Malossi; et al. (IJCAI, 2024)

Usage Governance Advisor: from Intent to AI Governance. - Elizabeth M. Daly; Sean Rooney; Seshu Tirupathi; Luis Garcés-Erice; Inge Vejsbjerg; Frank Bagehorn; Dhaval Salwala; Christopher Giblin; Mira L. Wolf-Bauwens; Ioana Giurgiu; Michael Hind; Peter Urbanetz (CoRR, 2024)

MC Layer Normalization for calibrated uncertainty in Deep Learning. - Thomas Frick; Diego Antognini; Ioana Giurgiu; Benjamin F. Grewe; Cristiano Malossi; Rong J. B. Zhu; Mattia Rigotti (Trans. Mach. Learn. Res., 2024)

AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources. - Frank Bagehorn; Kristina Brimijoin; Elizabeth M. Daly; Jessica He; Michael Hind; Luis Garcés-Erice; Christopher Giblin; Ioana Giurgiu; Jacquelyn Martino; Rahul Nair; David Piorkowski; Ambrish Rawat; et al. (CoRR, 2025)

A Learned Cost Model-based Cross-engine Optimizer for SQL Workloads. - András Strausz; Niels Pardon; Ioana Giurgiu (CoRR, 2025)

Are Bias Evaluation Methods Biased ? - Lina Berrayana; Sean Rooney; Luis Garcés-Erice; Ioana Giurgiu (CoRR, 2025)