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2020 – today
- 2024
[c43]Maria Predescu
, Cosmin-Gabriel Samoila, Emil-Ioan Slusanschi, Ana Gainaru:
High-Throughput Computing: Case Study of Medical Image Processing Applications. FlexScience@HPDC 2024: 17-25- [c42]Rares Folea, Emil Slusanschi:
On Plagiarism and Software Plagiarism. ICCCI (CCIS Volume 2) 2024: 314-326 - 2023
- [c41]Rares Folea, Radu Cristian Alexandru Iacob, Emil Slusanschi, Traian Rebedea:
Complexity-Based Code Embeddings. ICCCI 2023: 256-269 - [c40]Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu:
Self-supervised Hypergraphs for Learning Multiple World Interpretations. ICCV (Workshops) 2023: 983-992 - [c39]Cristina Cismaru, Ruxandra Chiroiu Trandafir, Emil-Ioan Slusanschi:
A Study of GPU Memory Vulnerabilities. RoEduNet 2023: 1-9 - [i4]Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Ahmed Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu:
Self-supervised Hypergraphs for Learning Multiple World Interpretations. CoRR abs/2308.07615 (2023) - 2022
- [c38]Vlad Licaret, Victor Robu, Alina Marcu, Dragos Costea, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu:
UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation. ICRA 2022: 6526-6532 - 2021
- [c37]Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. AAAI 2021: 1882-1892 - [c36]Rares Folea, Emil-Ioan Slusanschi:
A new metric for evaluating the performance and complexity of computer programs: A new approach to the traditional ways of measuring the complexity of algorithms and estimating running times. CSCS 2021: 157-164 - [c35]Mihai Cristian Pîrvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu:
Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning. CVPR Workshops 2021: 3215-3223 - 2020
- [c34]Dorin-Marian Ionita, Filip-George Manole, Emil-Ioan Slusanschi:
Efficient Parallel Simulations of Wireless Signal Wave Propagation. SYNASC 2020: 55-62 - [i3]Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. CoRR abs/2010.01086 (2020)
2010 – 2019
- 2019
- [c33]Cosmin-Gabriel Samoila, Emil-Ioan Slusanschi:
COSMOS - Framework for Combining Optimization and Simulation Software. CSCS 2019: 162-169 - [i2]Adrian Coman, Elena Apostol, Catalin Adrian Leordeanu, Emil Slusanschi:
Hydrodynamic Simulations using GPGPU Architectures. CoRR abs/1907.07137 (2019) - 2018
- [c32]Mihail-Gabriel Barbuta, Aurelian Marcu, Emil-Ioan Slusanschi:
Adaptive Algorithm for Detecting Beam Center in High-Power Laser Transport Lines. CCTA 2018: 115-120 - [c31]Dragos Costea, Alina Marcu, Emil Slusanschi, Marius Leordeanu:
Roadmap Generation Using a Multi-Stage Ensemble of Deep Neural Networks With Smoothing-Based Optimization. CVPR Workshops 2018: 220-224 - [c30]Alina Marcu, Dragos Costea, Vlad Licaret, Mihai Cristian Pîrvu, Emil Slusanschi, Marius Leordeanu:
SafeUAV: Learning to Estimate Depth and Safe Landing Areas for UAVs from Synthetic Data. ECCV Workshops (2) 2018: 43-58 - [c29]Silvia Cristina Stegaru, Mihail-Bogdan Carutasiu, Emil-Ioan Slusanschi, Cristian Dumitru Tranca, Nicolae Tapus:
Self-Adaptive Genetic Algorithm for Modeling Energy Consumption in a Passive House. EUC 2018: 54-60 - [c28]Mihai Carabas, Adriana Draghici, Grigore Lupescu, Cosmin-Gabriel Samoila, Emil-Ioan Slusanschi:
Integrating Parallel Computing in the Curriculum of the University Politehnica of Bucharest. Euro-Par Workshops 2018: 222-234 - [i1]Alina Marcu, Dragos Costea, Emil Slusanschi, Marius Leordeanu:
A Multi-Stage Multi-Task Neural Network for Aerial Scene Interpretation and Geolocalization. CoRR abs/1804.01322 (2018) - 2017
- [c27]Dragos Costea, Alina Marcu, Marius Leordeanu, Emil Slusanschi:
Creating Roadmaps in Aerial Images with Generative Adversarial Networks and Smoothing-Based Optimization. ICCV Workshops 2017: 2100-2109 - [c26]Grigore Lupescu, Emil-Ioan Slusanschi, Nicolae Tapus:
Using the Integrated GPU to Improve CPU Sort Performance. ICPP Workshops 2017: 39-44 - 2016
- [j4]Pantelimon George Popescu, Emil-Ioan Slusanschi, Voichita Iancu, Florin Pop:
A new upper bound for Shannon entropy. A novel approach in modeling of Big Data applications. Concurr. Comput. Pract. Exp. 28(2): 351-359 (2016) - [j3]Emil Slusanschi, Vlad Dumitrel:
ADiJaC - Automatic Differentiation of Java Classfiles. ACM Trans. Math. Softw. 43(2): 9:1-9:33 (2016) - [c25]Grigore Lupescu, Emil-Ioan Slusanschi, Nicolae Tapus:
Analysis of thread workgroup broadcast for Intel GPUs. HPCS 2016: 1019-1024 - [c24]Silvia Cristina Stegaru, Emil-Ioan Slusanschi, Giorgiana Violeta Vlasceanu, Nicolae Tapus:
Failure and abnormal behaviour detection in wireless sensor networks. RoEduNet 2016: 1-5 - [c23]Grigore Lupescu, Emil-Ioan Slusanschi, Nicolae Tapus:
Analysis of OpenCL Work-Group Reduce for Intel GPUs. SYNASC 2016: 417-423 - 2015
- [c22]Adelina Vidovici, Razvan Dobre, Emil-Ioan Slusanschi, Rodica Dumitrache:
Secure and Efficient Framework for High-Resolution, Short-Term Numerical Simulations of Weather Phenomena on Mobile Platforms. CSCS 2015: 169-176 - [c21]Pantelimon George Popescu, Emil-Ioan Slusanschi:
A New Bound in Information Theory. CSCS 2015: 220-221 - [c20]Silvia Cristina Stegaru, Emil-Ioan Slusanschi, Nicolae Tapus, Mihail-Bogdan Carutasiu, Constantin Ionescu, Adrian Badea:
The influence of genetic operators in a Genetic Algorithm used for estimating the energy consumption in a Passive House. RoEduNet 2015: 248-252 - [c19]Grigore Lupescu, Emil-Ioan Slusanschi, Nicolae Tapus:
Extensions over OpenCL for Latency Reduction and Critical Applications. SYNASC 2015: 379-385 - [c18]Luis Francisco Díez, Julian Igareda, Voichita Iancu, Emil Slusanschi, Ramón Agüero:
Routing algorithm to fairly distribute the exposure to electromagnetic fields over wireless mesh networks. WiMob 2015: 468-473 - 2014
- [c17]Mihai Ovidiu Tirsa, Emil-Ioan Slusanschi, Marian Doru Suran:
Performance Improvements for the "Linear Nonadiabatic Nonradial Waves" Pulsational Model. SYNASC 2014: 487-493 - [c16]Voichita Iancu, Luis Francisco Díez, Laura Rodríguez de Lope, Emil Slusanschi, Ramón Agüero:
A reward-based routing protocol to reduce the EMF exposure over wireless mesh networks. Wireless Days 2014: 1-4 - 2013
- [c15]Emil Slusanschi, Diana Gudu, Aurora Mirea:
Scalability Study of Two Weather Prediction Models. CSCS 2013: 129-136 - [c14]Monica Dagadita, Emil-Ioan Slusanschi, Razvan Dobre:
Data Hiding Using Steganography. ISPDC 2013: 159-166 - [c13]Victor-Lucian Spiridon, Emil-Ioan Slusanschi:
N-Body Simulations with GADGET-2. SYNASC 2013: 526-533 - 2012
- [c12]Nouha Oualha, Alexis Olivereau, Markus Wehner, Thomas Bartzsch, Dirk Burggraf, Sven Zeisberg, Laura-Cristina Gheorghe, Emil Slusanschi, Dan Tudose:
AAA-based infrastructure for industrial wireless sensor networks. Future Network & Mobile Summit 2012: 1-8 - [c11]Ana Claudia Sima, Emil Slusanschi:
Optimizing Parallel CFD Simulations of 2D Compressible Flows. SYNASC 2012: 487-494 - [c10]Markus Wehner, Sven Zeisberg, Nouha Oualha, Alexis Olivereau, Mike Ludwig, Dan Tudose, Laura Gheorghe, Emil Slusanschi, Basil Hess, Felix von Reischach, David Bateman:
Challenges and Current Results of the TWISNet FP7 Project - (Extended Abstract). TrustBus 2012: 232-233 - 2011
- [j2]H. Martin Bücker, Emil Slusanschi:
Second-order derivatives of the general-purpose finite element package SEPRAN via source transformation. Math. Comput. Simul. 81(11): 2431-2439 (2011) - [c9]Markus Wehner, Sven Zeisberg, Alexis Olivereau, Nouha Oualha, Laura Gheorghe, Emil Slusanschi, Basil Hess, Felix von Reischach, Mike Ludwig, David Bateman:
A Trustworthy Architecture for Wireless Industrial Sensor Networks: Research Roadmap of EU TWISNet Trust and Security Project. SysSec@DIMVA 2011: 63-66 - [c8]Ana Sierra, Juan Chóliz, Pierre Cluzeaud, Emil Slusanschi:
UWB integration into heterogeneous access networks. Future Network & Mobile Summit 2011: 1-9 - [c7]Ana Gainaru, Emil Slusanschi, Stefan Trausan-Matu:
Mapping Data Mining Algorithms on a GPU Architecture: A Study. ISMIS 2011: 102-112 - [c6]Ana Gainaru, Emil Slusanschi:
Framework for Mapping Data Mining Applications on GPUs. ISPDC 2011: 71-78 - [c5]Vlad-Marian Spoiala, Emil Slusanschi, Monica Dagadita, Cristian Bancu:
Parallelization of High Dynamic Range Image Creation on Multi-core Processor Architectures. ISPDC 2011: 262-265 - 2010
- [c4]Andreea Sandu, Emil Slusanschi, Alin Murarasu, Andreea Serban, Alexandru Herisanu, Teodor Stoenescu:
Towards efficient video compression using scalable vector graphics on the Cell/B.E. IWMSE@ICSE 2010: 26-31
2000 – 2009
- 2008
- [b1]Emil-Ioan Slusanschi:
Algorithmic differentiation of Java programs. RWTH Aachen University, Germany, 2008, pp. 1-175 - 2005
- [j1]Christian H. Bischof, H. Martin Bücker, Bruno Lang, Arno Rasch, Emil Slusanschi:
Efficient and accurate derivatives for a software process chain in airfoil shape optimization. Future Gener. Comput. Syst. 21(8): 1333-1344 (2005) - 2003
- [c3]Christian H. Bischof, H. Martin Bücker, Arno Rasch, Emil Slusanschi:
Sensitivities for a Single Drop Simulation. International Conference on Computational Science 2003: 888-896 - [c2]Christian H. Bischof, H. Martin Bücker, Arno Rasch, Emil Slusanschi:
Evaluation of a Computer Model for Wavy Falling Films Using EFCOSS. ICCSA (2) 2003: 78-84 - 2001
- [c1]Nicolae Tapus, Emil Slusanschi, Tudor Popescu:
Distributed Rendering Engine. IWCC 2001: 207-215
Coauthor Index
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last updated on 2024-10-23 21:23 CEST by the dblp team
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