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2020 – today
- 2024
[j3]Thomas Frick, Diego Antognini, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi, Rong J. B. Zhu, Mattia Rigotti:
MC Layer Normalization for calibrated uncertainty in Deep Learning. Trans. Mach. Learn. Res. 2024 (2024)- [c23]Thomas Frick, Cezary Skura, Filip Janicki, Roy Assaf, Niccolo Avogaro, Daniel Caraballo, Yagmur Gizem Cinar, Brown Ebouky, Ioana Giurgiu, Takayuki Katsuki, Piotr Kluska, Cristiano Malossi, Haoxiang Qiu, Tomoya Sakai, Florian Scheidegger, Andrej Simeski, Daniel Yang, Andrea Bartezzaghi, Mattia Rigotti:
Probabilistic Feature Matching for Fast Scalable Visual Prompting. IJCAI 2024: 8648-8652 - 2022
- [c22]Lili Georgieva, Ioana Giurgiu, Serge Monney, Haris Pozidis, Viviane Potocnik, Mitch Gusat:
CCA: An ML Pipeline for Cloud Anomaly Troubleshooting. AAAI 2022: 13167-13169 - [c21]Klára Janousková, Mattia Rigotti, Ioana Giurgiu, Cristiano Malossi:
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures. ECCV Workshops (7) 2022: 244-257 - [c20]Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi:
Active Learning for Imbalanced Civil Infrastructure Data. ECCV Workshops (7) 2022: 283-298 - [c19]Mattia Rigotti, Christoph Miksovic, Ioana Giurgiu, Thomas Gschwind, Paolo Scotton:
Attention-based Interpretability with Concept Transformers. ICLR 2022 - [i5]Klára Janousková, Mattia Rigotti
, Ioana Giurgiu, Cristiano Malossi:
Model-Assisted Labeling via Explainability for Visual Inspection of Civil Infrastructures. CoRR abs/2209.11159 (2022) - [i4]Thomas Frick, Diego Antognini, Mattia Rigotti, Ioana Giurgiu, Benjamin F. Grewe, Cristiano Malossi:
Active Learning for Imbalanced Civil Infrastructure Data. CoRR abs/2210.10586 (2022) - 2021
- [j2]Jasmina Bogojeska, Ioana Giurgiu, George Stark, Dorothea Wiesmann:
IBM Predictive Analytics Reduces Server Downtime. INFORMS J. Appl. Anal. 51(1): 63-75 (2021) - 2020
- [c18]Roy Assaf, Ioana Giurgiu, Jonas Pfefferle, Serge Monney, Haris Pozidis, Anika Schumann:
An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems. IJCAI 2020: 5228-5230 - [i3]Nuno Mota Goncalves, Ioana Giurgiu, Anika Schumann:
From Time Series to Euclidean Spaces: On Spatial Transformations for Temporal Clustering. CoRR abs/2010.05681 (2020)
2010 – 2019
- 2019
- [c17]Ioana Giurgiu, Anika Schumann:
Additive Explanations for Anomalies Detected from Multivariate Temporal Data. CIKM 2019: 2245-2248 - [c16]Roy Assaf, Ioana Giurgiu, Frank Bagehorn, Anika Schumann:
MTEX-CNN: Multivariate Time Series EXplanations for Predictions with Convolutional Neural Networks. ICDM 2019: 952-957 - [i2]Ioana Giurgiu, Anika Schumann:
Explainable Failure Predictions with RNN Classifiers based on Time Series Data. CoRR abs/1901.08554 (2019) - 2017
- [j1]Ioana Giurgiu, Dorothea Wiesmann, Jasmina Bogojeska, David Lanyi, George Stark, Rodney B. Wallace, Marcelo M. Pereira, Alexander A. Hidalgo:
On the adoption and impact of predictive analytics for server incident reduction. IBM J. Res. Dev. 61(1): 9:98-9:109 (2017) - [c15]Ioana Giurgiu, Jácint Szabó, Dorothea Wiesmann, John Bird:
Predicting DRAM reliability in the field with machine learning. Middleware Industry 2017: 15-21 - [c14]Ioana Giurgiu, Dorothea Wiesmann, John Bird:
"Memory loss" in commodity hardware?: predicting DIMM failures with machine learning. SYSTOR 2017: 18:1 - 2016
- [c13]Mirela Madalina Botezatu, Ioana Giurgiu, Jasmina Bogojeska, Dorothea Wiesmann:
Predicting Disk Replacement towards Reliable Data Centers. KDD 2016: 39-48 - 2015
- [c12]Ioana Giurgiu, Mirela Botezatu, Dorothea Wiesmann:
Comprehensible Models for Reconfiguring Enterprise Relational Databases to Avoid Incidents. CIKM 2015: 1371-1380 - [c11]Ioana Giurgiu, Adela-Diana Almasi, Dorothea Wiesmann:
Do you know how to configure your enterprise relational database to reduce incidents? IM 2015: 339-347 - [c10]Mirela Madalina Botezatu, Jasmina Bogojeska, Ioana Giurgiu, Hagen Völzer, Dorothea Wiesmann:
Multi-View Incident Ticket Clustering for Optimal Ticket Dispatching. KDD 2015: 1711-1720 - [i1]Jasmina Bogojeska, Ioana Giurgiu, David Lanyi, Dorothea Wiesmann:
Predictive Analytics for Server Incident Reduction. ERCIM News 2015(102) (2015) - 2014
- [c9]Ioana Giurgiu, Jasmina Bogojeska, Sergii Nikolaiev, George Stark, Dorothea Wiesmann:
Analysis of Labor Efforts and their Impact Factors to Solve Server Incidents in Datacenters. CCGRID 2014: 424-433 - [c8]Robert Birke, Ioana Giurgiu, Lydia Y. Chen, Dorothea Wiesmann, Ton Engbersen:
Failure Analysis of Virtual and Physical Machines: Patterns, Causes and Characteristics. DSN 2014: 1-12 - [c7]Jasmina Bogojeska, Ioana Giurgiu, David Lanyi, George Stark, Dorothea Wiesmann:
Impact of HW and OS type and currency on server availability derived from problem ticket analysis. NOMS 2014: 1-9 - 2013
- [c6]Jasmina Bogojeska, David Lanyi, Ioana Giurgiu, George Stark, Dorothea Wiesmann:
Classifying server behavior and predicting impact of modernization actions. CNSM 2013: 59-66 - 2012
- [b1]Ioana Giurgiu:
Integrating Cloud Applications with Mobile Devices: Design Principles and Performance Optimizations. ETH Zurich, Zürich, Switzerland, 2012 - [c5]Ioana Giurgiu, Claris Castillo, Asser N. Tantawi, Malgorzata Steinder:
Enabling Efficient Placement of Virtual Infrastructures in the Cloud. Middleware 2012: 332-353 - [c4]Ioana Giurgiu, Oriana Riva, Gustavo Alonso:
Dynamic Software Deployment from Clouds to Mobile Devices. Middleware 2012: 394-414 - [c3]Ioana Giurgiu:
Understanding performance modeling for modular mobile-cloud applications. ICPE 2012: 259-262
2000 – 2009
- 2009
- [c2]Simon Scerri, Ioana Giurgiu, Brian Davis, Siegfried Handschuh:
Semanta - Semantic Email in Action. ESWC 2009: 883-887 - [c1]Ioana Giurgiu, Oriana Riva, Dejan Juric, Ivan Krivulev, Gustavo Alonso:
Calling the Cloud: Enabling Mobile Phones as Interfaces to Cloud Applications. Middleware 2009: 83-102
Coauthor Index
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