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Andreea Anghel

Andreea Simona Anghel

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affiliation: IBM Research, Zurich Research Laboratory

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2020 – today

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2024
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Jovan Blanusa, Maximo Cravero Baraja, Andreea Anghel, Luc von Niederhäusern, Erik R. Altman, Haris Pozidis, Kubilay Atasu:
Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs. CoRR abs/2402.08593 (2024)
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Malgorzata Lazuka, Andreea Anghel, Thomas P. Parnell:
LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services. CoRR abs/2410.02425 (2024)
2023
[c22]
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Malgorzata Lazuka, Andreea Anghel, Parikshit Ram, Haralampos Pozidis, Thomas P. Parnell:
xCloudServing: Automated ML Serving Across Clouds. CLOUD 2023: 1-12
[c21]
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Nikolaos Papandreou, Jan van Lunteren, Andreea Anghel, Thomas P. Parnell, Martin Petermann, Milos Stanisavljevic, Cédric Lichtenau, Andrew Sica, Dominic Röhm, Elpida Tzortzatos, Haralampos Pozidis:
Acceleration of Decision-Tree Ensemble Models on the IBM Telum Processor. ISCAS 2023: 1-5
[c20]
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Erik R. Altman, Jovan Blanusa, Luc von Niederhäusern, Beni Egressy, Andreea Anghel, Kubilay Atasu:
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models. NeurIPS 2023
2022
[c19]
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Malgorzata Lazuka, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Search-based Methods for Multi-Cloud Configuration. CLOUD 2022: 438-448
[i6]
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  - journals/corr/abs-2204-09437
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Malgorzata Lazuka, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Search-based Methods for Multi-Cloud Configuration. CoRR abs/2204.09437 (2022)
2020
[c18]
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Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis:
SnapBoost: A Heterogeneous Boosting Machine. NeurIPS 2020
[i5]
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  - journals/corr/abs-2006-09745
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Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis:
MixBoost: A Heterogeneous Boosting Machine. CoRR abs/2006.09745 (2020)

2010 – 2019

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2019
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Nikolas Ioannou, Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis:
Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images. MICCAI (1) 2019: 406-414
[i4]
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Alessandro De Palma, Celestine Mendler-Dünner, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Sampling Acquisition Functions for Batch Bayesian Optimization. CoRR abs/1903.09434 (2019)
[i3]
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Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis:
Breadth-first, Depth-next Training of Random Forests. CoRR abs/1910.06853 (2019)
2018
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Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann:
Predicting cloud performance for HPC applications before deployment. Future Gener. Comput. Syst. 87: 618-628 (2018)
[j5]
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Rik Jongerius, Andreea Anghel, Gero Dittmann, Giovanni Mariani, Erik Vermij, Henk Corporaal:
Analytic Multi-Core Processor Model for Fast Design-Space Exploration. IEEE Trans. Computers 67(6): 755-770 (2018)
[c16]
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Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Pushpak Pati, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis:
A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology. ECCV Workshops (6) 2018: 424-436
[c15]
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Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis:
Snap ML: A Hierarchical Framework for Machine Learning. NeurIPS 2018: 250-260
[i2]
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Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Haralampos Pozidis:
Snap ML: A Hierarchical Framework for Machine Learning. CoRR abs/1803.06333 (2018)
[i1]
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  - journals/corr/abs-1809-04559
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Andreea Anghel, Nikolaos Papandreou, Thomas P. Parnell, Alessandro De Palma, Haralampos Pozidis:
Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms. CoRR abs/1809.04559 (2018)
2017
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Pablo Fuentes, Mariano Benito, Enrique Vallejo, José Luis Bosque, Ramón Beivide, Andreea Anghel, Germán Rodríguez, Mitch Gusat, Cyriel Minkenberg, Mateo Valero:
A scalable synthetic traffic model of Graph500 for computer networks analysis. Concurr. Comput. Pract. Exp. 29(24) (2017)
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Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann:
Classification of thread profiles for scaling application behavior. Parallel Comput. 66: 1-21 (2017)
[c14]
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Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann:
Predicting Cloud Performance for HPC Applications: a User-oriented Approach. CCGrid 2017: 524-533
[c13]
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Pál Varga, Georgios Kathareios, Akos Mate, Rolf Clauberg, Andreea Anghel, Peter Orosz, Balázs Nagy, Tamas Tothfalusi, László Kovács, Mitch Gusat:
Real-time security services for SDN-based datacenters. CNSM 2017: 1-9
[c12]
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Sandeep Poddar, Rik Jongerius, Leandro Fiorin, Giovanni Mariani, Gero Dittmann, Andreea Anghel, Henk Corporaal:
MeSAP: A fast analytic power model for DRAM memories. DATE 2017: 49-54
[c11]
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Georgios Kathareios, Andreea Anghel, Akos Mate, Rolf Clauberg, Mitch Gusat:
Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm Rates. ICMLA 2017: 924-929
2016
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Andreea Anghel, Laura Mihaela Vasilescu, Giovanni Mariani, Rik Jongerius, Gero Dittmann:
An Instrumentation Approach for Hardware-Agnostic Software Characterization. Int. J. Parallel Program. 44(5): 924-948 (2016)
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Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann:
Scaling Properties of Parallel Applications to Exascale. Int. J. Parallel Program. 44(5): 975-1002 (2016)
[c10]
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Pablo Fuentes, Enrique Vallejo, José Luis Bosque, Ramón Beivide, Andreea Anghel, Germán Rodríguez, Mitchell Gusat, Cyriel Minkenberg:
Synthetic Traffic Model of the Graph500 Communications. ICA3PP 2016: 675-683
2015
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Andreea Anghel, Laura Mihaela Vasilescu, Rik Jongerius, Gero Dittmann, Giovanni Mariani:
An instrumentation approach for hardware-agnostic software characterization. Conf. Computing Frontiers 2015: 3:1-3:8
[c8]
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Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann:
Scaling application properties to exascale. Conf. Computing Frontiers 2015: 31:1-31:8
[c7]
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Rik Jongerius, Giovanni Mariani, Andreea Anghel, Gero Dittmann, Erik Vermij, Henk Corporaal:
Analytic processor model for fast design-space exploration. ICCD 2015: 411-414
[c6]
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Andreea Anghel, Germán Rodríguez, Bogdan Prisacari, Cyriel Minkenberg, Gero Dittmann:
Quantifying Communication in Graph Analytics. ISC 2015: 472-487
2014
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Andreea Anghel, Rik Jongerius, Gero Dittmann, Jonas R. M. Weiss, Ronald P. Luijten:
Holistic power analysis of implementation alternatives for a very large scale synthesis array with phased array stations. ICASSP 2014: 5397-5401
[c4]
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Martin L. Schmatz, Rik Jongerius, Gero Dittmann, Andreea Anghel, Ton Engbersen, Jan van Lunteren, Peter Buchmann:
Scalable, efficient ASICS for the square kilometre array: From A/D conversion to central correlation. ICASSP 2014: 7505-7509
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Andreea Anghel, Germán Rodríguez, Bogdan Prisacari:
The importance and characteristics of communication in high performance data analytics. IISWC 2014: 80-81
[c2]
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Andreea Simona Anghel, Robert Birke, Mitchell Gusat:
Scalable High Resolution Traffic Heatmaps: Coherent Queue Visualization for Datacenters. TMA 2014: 26-37
2011
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Daniel Crisan, Andreea Simona Anghel, Robert Birke, Cyriel Minkenberg, Mitchell Gusat:
Short and Fat: TCP Performance in CEE Datacenter Networks. Hot Interconnects 2011: 43-50

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