Andreea Anghel

36 papers A* 3A 2B 4C 5Misc 2Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Graph Feature Preprocessor: Real-time Extraction of Subgraph-based Features from Transaction Graphs. CoRR Jovan Blanusa, Maximo Cravero Baraja, Andreea Anghel, Luc von Niederhäusern, Erik R. Altman, Haris Pozidis, Kubilay Atasu
2024	—	`conf`	Graph Feature Preprocessor: Real-time Subgraph-based Feature Extraction for Financial Crime Detection. ICAIF Jovan Blanusa, Maximo Cravero Baraja, Andreea Anghel, Luc von Niederhäusern, Erik R. Altman, Haris Pozidis, Kubilay Atasu
2024	A	`conf`	LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services. SC Malgorzata Lazuka, Andreea Anghel, Thomas P. Parnell
2024	J	`jnl`	LLM-Pilot: Characterize and Optimize Performance of your LLM Inference Services. CoRR Malgorzata Lazuka, Andreea Anghel, Thomas P. Parnell
2023	C	`conf`	Acceleration of Decision-Tree Ensemble Models on the IBM Telum Processor. ISCAS Nikolaos Papandreou, Jan van Lunteren, Andreea Anghel, Thomas P. Parnell, Martin Petermann, Milos Stanisavljevic, Cédric Lichtenau, Andrew Sica, Dominic Röhm, Elpida Tzortzatos, Haralampos Pozidis
2023	A*	`conf`	Realistic Synthetic Financial Transactions for Anti-Money Laundering Models. NeurIPS Erik R. Altman, Jovan Blanusa, Luc von Niederhäusern, Beni Egressy, Andreea Anghel, Kubilay Atasu
2023	B	`conf`	xCloudServing: Automated ML Serving Across Clouds. CLOUD Malgorzata Lazuka, Andreea Anghel, Parikshit Ram, Haralampos Pozidis, Thomas P. Parnell
2022	B	`conf`	Search-based Methods for Multi-Cloud Configuration. CLOUD Malgorzata Lazuka, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis
2022	J	`jnl`	Search-based Methods for Multi-Cloud Configuration. CoRR Malgorzata Lazuka, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis
2020	J	`jnl`	MixBoost: A Heterogeneous Boosting Machine. CoRR Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis
2020	A*	`conf`	SnapBoost: A Heterogeneous Boosting Machine. NeurIPS Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis
2019	—	`conf`	Accelerated ML-Assisted Tumor Detection in High-Resolution Histopathology Images. MICCAI (1) Nikolas Ioannou, Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis
2019	J	`jnl`	Breadth-first, Depth-next Training of Random Forests. CoRR Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis
2019	J	`jnl`	Sampling Acquisition Functions for Batch Bayesian Optimization. CoRR Alessandro De Palma, Celestine Mendler-Dünner, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis
2018	—	`conf`	A Fast and Scalable Pipeline for Stain Normalization of Whole-Slide Images in Histopathology. ECCV Workshops (6) Milos Stanisavljevic, Andreea Anghel, Nikolaos Papandreou, Sonali Andani, Pushpak Pati, Jan Hendrik Rüschoff, Peter Wild, Maria Gabrani, Haralampos Pozidis
2018	J	`jnl`	Analytic Multi-Core Processor Model for Fast Design-Space Exploration. IEEE Trans. Computers Rik Jongerius, Andreea Anghel, Gero Dittmann, Giovanni Mariani, Erik Vermij, Henk Corporaal
2018	J	`jnl`	Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms. CoRR Andreea Anghel, Nikolaos Papandreou, Thomas P. Parnell, Alessandro De Palma, Haralampos Pozidis
2018	J	`jnl`	Predicting cloud performance for HPC applications before deployment. Future Gener. Comput. Syst. Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann
2018	A*	`conf`	Snap ML: A Hierarchical Framework for Machine Learning. NeurIPS Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis
2018	J	`jnl`	Snap ML: A Hierarchical Framework for Machine Learning. CoRR Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Haralampos Pozidis
2017	J	`jnl`	A scalable synthetic traffic model of Graph500 for computer networks analysis. Concurr. Comput. Pract. Exp. Pablo Fuentes, Mariano Benito, Enrique Vallejo, José Luis Bosque, Ramón Beivide, Andreea Anghel, Germán Rodríguez, Mitch Gusat, Cyriel Minkenberg, Mateo Valero
2017	C	`conf`	Catch It If You Can: Real-Time Network Anomaly Detection with Low False Alarm Rates. ICMLA Georgios Kathareios, Andreea Anghel, Akos Mate, Rolf Clauberg, Mitch Gusat
2017	J	`jnl`	Classification of thread profiles for scaling application behavior. Parallel Comput. Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann
2017	A	`conf`	MeSAP: A fast analytic power model for DRAM memories. DATE Sandeep Poddar, Rik Jongerius, Leandro Fiorin, Giovanni Mariani, Gero Dittmann, Andreea Anghel, Henk Corporaal
2017	B	`conf`	Predicting Cloud Performance for HPC Applications: a User-oriented Approach. CCGrid Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann
2017	B	`conf`	Real-time security services for SDN-based datacenters. CNSM Pál Varga, Georgios Kathareios, Akos Mate, Rolf Clauberg, Andreea Anghel, Peter Orosz, Balázs Nagy, Tamas Tothfalusi, László Kovács, Mitch Gusat
2016	J	`jnl`	An Instrumentation Approach for Hardware-Agnostic Software Characterization. Int. J. Parallel Program. Andreea Anghel, Laura Mihaela Vasilescu, Giovanni Mariani, Rik Jongerius, Gero Dittmann
2016	J	`jnl`	Scaling Properties of Parallel Applications to Exascale. Int. J. Parallel Program. Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann
2016	C	`conf`	Synthetic Traffic Model of the Graph500 Communications. ICA3PP Pablo Fuentes, Enrique Vallejo, José Luis Bosque, Ramón Beivide, Andreea Anghel, Germán Rodríguez, Mitchell Gusat, Cyriel Minkenberg
2015	—	`conf`	An instrumentation approach for hardware-agnostic software characterization. Conf. Computing Frontiers Andreea Anghel, Laura Mihaela Vasilescu, Rik Jongerius, Gero Dittmann, Giovanni Mariani
2015	C	`conf`	Analytic processor model for fast design-space exploration. ICCD Rik Jongerius, Giovanni Mariani, Andreea Anghel, Gero Dittmann, Erik Vermij, Henk Corporaal
2015	C	`conf`	Quantifying Communication in Graph Analytics. ISC Andreea Anghel, Germán Rodríguez, Bogdan Prisacari, Cyriel Minkenberg, Gero Dittmann
2015	—	`conf`	Scaling application properties to exascale. Conf. Computing Frontiers Giovanni Mariani, Andreea Anghel, Rik Jongerius, Gero Dittmann
2014	Misc	`conf`	Holistic power analysis of implementation alternatives for a very large scale synthesis array with phased array stations. ICASSP Andreea Anghel, Rik Jongerius, Gero Dittmann, Jonas R. M. Weiss, Ronald P. Luijten
2014	Misc	`conf`	Scalable, efficient ASICS for the square kilometre array: From A/D conversion to central correlation. ICASSP Martin L. Schmatz, Rik Jongerius, Gero Dittmann, Andreea Anghel, Ton Engbersen, Jan van Lunteren, Peter Buchmann
2014	—	`conf`	The importance and characteristics of communication in high performance data analytics. IISWC Andreea Anghel, Germán Rodríguez, Bogdan Prisacari