• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 163 matches

• 2021
• 
  Michael Eull, Matthias Preindl:
  An Optimization-Based Reduced Sensor Virtual Flux Observer for PM Synchronous Machines. IEEE Trans. Ind. Electron. 68(5): 4320-4330 (2021)
• 2020
• 
  David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino:
  CMI: An online multi-objective genetic autoscaler for scientific and engineering workflows in cloud infrastructures with unreliable virtual machines. J. Netw. Comput. Appl. 149 (2020)
• 
  Michael Matusowsky, Daniel T. Ramotsoela, Adnan M. Abu-Mahfouz:
  Data Imputation in Wireless Sensor Networks Using a Machine Learning-Based Virtual Sensor. J. Sens. Actuator Networks 9(2): 25 (2020)
• 
  Francesco Salamone, Alice Bellazzi, Lorenzo Belussi, Gianfranco Damato, Ludovico Danza, Federico Dell'Aquila, Matteo Ghellere, Valentino Megale, Italo Meroni, Walter Vitaletti:
  Evaluation of the Visual Stimuli on Personal Thermal Comfort Perception in Real and Virtual Environments Using Machine Learning Approaches. Sensors 20(6): 1627 (2020)
• 
  Kjell Brunnström, Elijs Dima, Tahir Qureshi, Mathias Johanson, Mattias Andersson, Mårten Sjöström:
  Latency impact on Quality of Experience in a virtual reality simulator for remote control of machines. Signal Process. Image Commun. 89: 116005 (2020)
• 
  Romano Fantacci, Benedetta Picano:
  A Matching Game With Discard Policy for Virtual Machines Placement in Hybrid Cloud-Edge Architecture for Industrial IoT Systems. IEEE Trans. Ind. Informatics 16(11): 7046-7055 (2020)
• 
  Nicolas Martin, Nicolas Mathieu, Nico Pallamin, Martin Ragot, Jean-Marc Diverrez:
  Virtual reality sickness detection: an approach based on physiological signals and machine learning. ISMAR 2020: 387-399
• 
  Konstantin Kobs, Martin Potthast, Albin Zehe, Matti Wiegmann, Benno Stein, Andreas Hotho:
  Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD 2020), Ghent, Belgium (virtual due to Covid-19 pandemic), September 18, 2020. CEUR Workshop Proceedings 2661, CEUR-WS.org 2020 [contents]
• 
  Martin Radev, Mathias Morbitzer:
  Exploiting Interfaces of Secure Encrypted Virtual Machines. CoRR abs/2010.07094 (2020)
• 2019
• 
  Vladimir Podolskiy, Anshul Jindal, Michael Gerndt:
  Multilayered Autoscaling Performance Evaluation: Can Virtual Machines and Containers Co-Scale? Int. J. Appl. Math. Comput. Sci. 29(2): 227-244 (2019)
• 
  Jochen Sieg, Florian Flachsenberg, Matthias Rarey:
  In Need of Bias Control: Evaluating Chemical Data for Machine Learning in Structure-Based Virtual Screening. J. Chem. Inf. Model. 59(3): 947-961 (2019)
• 
  Mathias Morbitzer, Manuel Huber, Julian Horsch:
  Extracting Secrets from Encrypted Virtual Machines. CODASPY 2019: 221-230
• 
  Wenjun Kou, Xiang Chen, Qiangqiang Wu, Liang Shen:
  Structural Design of Snapping Machine of Brittle Materials and Its Virtual Development. DPTA 2019: 931-942
• 
  Amiron Wolff dos Santos Serra, Jose Gomes de Matos, Luiz Antônio de Souza Ribeiro, Lucas Sousa Pinheiro:
  Implementation of a Virtual Synchronous Machine to Improve the Dynamic Response of Inverters. IECON 2019: 3912-3918
• 
  Abdulrahman Nahhas, Sascha Bosse, Daniel Staegemann, Matthias Volk, Klaus Turowski:
  A Holistic View of the Server Consolidation and Virtual Machines Placement Problems. SITIS 2019: 327-334
• 
  Mathias Morbitzer, Manuel Huber, Julian Horsch:
  Extracting Secrets from Encrypted Virtual Machines. CoRR abs/1901.01759 (2019)
• 2018
• 
  David A. Monge, Elina Pacini, Cristian Mateos, Carlos García Garino:
  Meta-heuristic based autoscaling of cloud-based parameter sweep experiments with unreliable virtual machines instances. Comput. Electr. Eng. 69: 364-377 (2018)
• 
  Devki Nandan Jha, Deo Prakash Vidyarthi:
  A Hybrid Heuristic for QoS Aware Matching of User's Job and Virtual Machines in Cloud Environment. J. Inf. Technol. Res. 11(2): 88-109 (2018)
• 
  Matthew Muscat, Mark Vella:
  Enhancing Virtual Machine Introspection-Based Memory Analysis with Event Triggers. CloudCom 2018: 133-136
• 
  Osama Nasser Alrajeh, Matthew Forshaw, Andrew Stephen McGough, Nigel Thomas:
  Simulation of Virtual Machine Live Migration in High Throughput Computing Environments. DS-RT 2018: 47-54
• 
  Mathias Morbitzer, Manuel Huber, Julian Horsch, Sascha Wessel:
  SEVered: Subverting AMD's Virtual Machine Encryption. EuroSec@EuroSys 2018: 1:1-1:6
• 
  Alireza Zamani, Saeed Shojaee, Rudolf Mathar, Anke Schmeink:
  Package Assignment and Processing Resource Allocation for Virtual Machines in C-RAN. PIMRC 2018: 1-5
• 
  Maria Kotsifakou, Prakalp Srivastava, Matthew D. Sinclair, Rakesh Komuravelli, Vikram S. Adve, Sarita V. Adve:
  HPVM: heterogeneous parallel virtual machine. PPOPP 2018: 68-80
• 
  Jens Lindemann, Mathias Fischer:
  A memory-deduplication side-channel attack to detect applications in co-resident virtual machines. SAC 2018: 183-192
• 
  Mathias Morbitzer, Manuel Huber, Julian Horsch, Sascha Wessel:
  SEVered: Subverting AMD's Virtual Machine Encryption. CoRR abs/1805.09604 (2018)
• 
  David A. Monge, Elina Pacini, Cristian Mateos, Enrique Alba, Carlos García Garino:
  CMI: An Online Multi-objective Genetic Autoscaler for Scientific and Engineering Workflows in Cloud Infrastructures with Unreliable Virtual Machines. CoRR abs/1811.00989 (2018)
• 2017
• 
  Zoltán Ádám Mann, Máté Szabó:
  Which is the best algorithm for virtual machine placement optimization? Concurr. Comput. Pract. Exp. 29(10) (2017)
• 
  Koichi Onoue, Satoshi Imai, Naoki Matsuoka:
  Scheduling of Parallel Migration for Multiple Virtual Machines. AINA 2017: 827-834
• 
  PeiYun Zhang, MengChu Zhou:
  Task scheduling based on virtual machine matching in clouds. CASE 2017: 618-623
• 
  Osama Nasser Alrajeh, Matthew Forshaw, Nigel Thomas:
  Machine Learning Models for Predicting Timely Virtual Machine Live Migration. EPEW 2017: 169-183

skipping 133 more matches