Vladimir Vlassov

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 64

Top Venues

Publications

Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. IEEE Internet Things J. 11 (5) (2024)
Javier de la Rúa Martínez, Fabio Buso, Antonios Kouzoupis, Alexandru A. Ormenisan, Salman Niazi, Davit Bzhalava, Kenneth Mak, Victor Jouffrey, Mikael Ronström, Raymond Cunningham, Ralfs Zangis, Dhananjay Mukhedkar, Ayushman Khazanchi, Vladimir Vlassov, Jim Dowling
The Hopsworks Feature Store for Machine Learning. SIGMOD Conference Companion (2024)
Junhui Liang, Ying Liu, Vladimir Vlassov
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation. CoRR (2023)
Gibson Chikafa, Sina Sheikholeslami, Salman Niazi, Jim Dowling, Vladimir Vlassov
Cloud-native RStudio on Kubernetes for Hopsworks. CoRR (2023)
Sina Sheikholeslami, Amir Hossein Payberah, Tianze Wang, Jim Dowling, Vladimir Vlassov
The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks. DAIS (2023)
Fabian Schmidt, Karin Hammerfald, Henrik Haaland Jahren, Ole André Solbakken, Amir Hossein Payberah, Vladimir Vlassov
Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders. ICDH (2023)
Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov
Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization. ICMLA (2023)
Joseph Attieh, Abraham Woubie Zewoudie, Vladimir Vlassov, Adrian Flanagan, Tom Bäckström
Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings Using a Joint Loss Function. ICDAR (5) (2023)
Guoyun Tu, Ying Liu, Vladimir Vlassov
AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes. CoRR (2023)
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, Jan Erik Håkegård, Ulas Bagci, Danda B. Rawat, Vladimir Vlassov
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. CoRR (2022)
Tianze Wang, Amir Hossein Payberah, Desta Haileselassie Hagos, Vladimir Vlassov
Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement. DAIS (2022)
Desta Haileselassie Hagos, Theofilos Kakantousis, Sina Sheikholeslami, Tianze Wang, Vladimir Vlassov, Amir Hossein Payberah, Moritz Meister, Robin Andersson, Jim Dowling
Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks. Remote. Sens. 14 (8) (2022)
Tianze Wang, Amir H. Payberah, Desta Haileselassie Hagos, Vladimir Vlassov
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement. CoRR (2022)
Muhammad Arsalan, Davide Di Matteo, Sana Imtiaz, Zainab Abbas, Vladimir Vlassov, Vadim Issakov
Energy-Efficient Privacy-Preserving Time-Series Forecasting on User Health Data Streams. TrustCom (2022)
Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov
Node Context Selection in Transformer-Based Graph Representation Learning Models. Big Data (2022)
Sana Imtiaz, Muhammad Arsalan, Vladimir Vlassov, Ramin Sadre
Synthetic and Private Smart Health Care Data Generation using GANs. ICCCN (2021)
David Gureya, João Barreto, Vladimir Vlassov
Generalizing QoS-Aware Memory Bandwidth Allocation to Multi-Socket Cloud Servers. CLOUD (2021)
Sana Imtiaz, Zannatun N. Tania, Hassan Nazeer Chaudhry, Muhammad Arsalan, Ramin Sadre, Vladimir Vlassov
Machine Learning with Reconfigurable Privacy on Resource-Limited Computing Devices. ISPA/BDCloud/SocialCom/SustainCom (2021)
Sina Sheikholeslami, Moritz Meister, Tianze Wang, Amir H. Payberah, Vladimir Vlassov, Jim Dowling
AutoAblation: Automated Parallel Ablation Studies for Deep Learning. EuroMLSys@EuroSys (2021)
Albert Asratyan, Sina Sheikholeslami, Vladimir Vlassov
A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation. IEEE BigData (2021)
Sana Imtiaz, Philipp Matthies, Francisco Pinto, Máté E. Maros, Holger Wenz, Ramin Sadre, Vladimir Vlassov
PyDPLib: Python Differential Privacy Library for Private Medical Data Analytics. ICDH (2021)
David Gureya, Vladimir Vlassov, João Barreto
BALM: QoS-Aware Memory Bandwidth Partitioning for Multi-Socket Cloud Nodes. SPAA (2021)
Desta Haileselassie Hagos, Theofilos Kakantousis, Vladimir Vlassov, Sina Sheikholeslami, Tianze Wang, Jim Dowling, Claudia Paris, Daniele Marinelli, Giulio Weikmann, Lorenzo Bruzzone, Salman Khaleghian, Thomas Krämer, Torbjørn Eltoft, Andrea Marinoni, Despina-Athanasia Pantazi, George Stamoulis, Dimitris Bilidas, George Papadakis, Georgios M. Mandilaras, Manolis Koubarakis, Antonis Troumpoukis, Stasinos Konstantopoulos, Markus Muerth, Florian Appel, Andrew Fleming, Andreas Cziferszky
ExtremeEarth Meets Satellite Data From Space. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Stefano Fedeli, Frida Schain, Sana Imtiaz, Zainab Abbas, Vladimir Vlassov
Privacy Preserving Survival Prediction. IEEE BigData (2021)
Marianela Garcia Lozano, Joel Brynielsson, Ulrik Franke, Magnus Rosell, Edward Tjörnhammar, Stefan Varga, Vladimir Vlassov
Veracity assessment of online data. Decis. Support Syst. 129 (2020)
David Gureya, João Neto, Reza Karimi, João Barreto, Pramod Bhatotia, Vivien Quéma, Rodrigo Rodrigues, Paolo Romano, Vladimir Vlassov
Bandwidth-Aware Page Placement in NUMA. CoRR (2020)
Tianze Wang, Amir H. Payberah, Vladimir Vlassov
CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems. ICMLA (2020)
David Gureya, João Neto, Reza Karimi, João Barreto, Pramod Bhatotia, Vivien Quéma, Rodrigo Rodrigues, Paolo Romano, Vladimir Vlassov
Bandwidth-Aware Page Placement in NUMA. IPDPS (2020)
Sana Imtiaz, Sonia-Florina Horchidan, Zainab Abbas, Muhammad Arsalan, Hassan Nazeer Chaudhry, Vladimir Vlassov
Privacy Preserving Time-Series Forecasting of User Health Data Streams. IEEE BigData (2020)
Daniele Montesi, Sarunas Girdzijauskas, Vladimir Vlassov
Repeating Link Prediction over Dynamic Graphs. IEEE BigData (2020)
Moritz Meister, Sina Sheikholeslami, Amir H. Payberah, Vladimir Vlassov, Jim Dowling
Maggy: Scalable Asynchronous Parallel Hyperparameter Search. DistributedML@CoNEXT (2020)
Sana Imtiaz, Ramin Sadre, Vladimir Vlassov
On the Case of Privacy in the IoT Ecosystem: A Survey. iThings/GreenCom/CPSCom/SmartData (2019)
Paolo Trunfio, Vladimir Vlassov
Clouds for scalable Big Data processing. Int. J. Parallel Emergent Distributed Syst. 34 (6) (2019)
Manolis Koubarakis, Konstantina Bereta, Dimitris Bilidas, Konstantinos Giannousis, Theofilos Ioannidis, Despina-Athanasia Pantazi, George Stamoulis, Jim Dowling, Seif Haridi, Vladimir Vlassov, Lorenzo Bruzzone, Claudia Paris, Torbjørn Eltoft, Thomas Krämer, Angelos Charalambidis, Vangelis Karkaletsis, Stasinos Konstantopoulos, Theofilos Kakantousis, Mihai Datcu, Corneliu Octavian Dumitru, Florian Appel, Heike Bach, Silke Migdall, Nick Hughes, David Arthurs, Andrew Fleming
From Copernicus Big Data to Extreme Earth Analytics. EDBT (2019)
Zainab Abbas, Jon Reginbald Ivarsson, Ahmad Al-Shishtawy, Vladimir Vlassov
Scaling Deep Learning Models for Large Spatial Time-Series Forecasting. IEEE BigData (2019)
Zainab Abbas, Thorsteinn Thorri Sigurdsson, Ahmad Al-Shishtawy, Vladimir Vlassov
Evaluation of the Use of Streaming Graph Processing Algorithms for Road Congestion Detection. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Hooman Peiro Sajjad, Ying Liu, Vladimir Vlassov
Optimizing Windowed Aggregation over Geo-Distributed Data Streams. EDGE (2018)
Konstantin Sozinov, Vladimir Vlassov, Sarunas Girdzijauskas
Human Activity Recognition Using Federated Learning. ISPA/IUCC/BDCloud/SocialCom/SustainCom (2018)
Amin M. Khan, Felix Freitag, Vladimir Vlassov, Phuong Hoai Ha
Demo abstract: Towards IoT service deployments on edge community network microclouds. INFOCOM Workshops (2018)
Zainab Abbas, Vasiliki Kalavri, Paris Carbone, Vladimir Vlassov
Streaming Graph Partitioning: An Experimental Study. Proc. VLDB Endow. 11 (11) (2018)
Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi
High-Level Programming Abstractions for Distributed Graph Processing. IEEE Trans. Knowl. Data Eng. 30 (2) (2018)
Zainab Abbas, Ahmad Al-Shishtawy, Sarunas Girdzijauskas, Vladimir Vlassov
Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks. BigData Congress (2018)
Ruma R. Paul, Jérémie Melchior, Peter Van Roy, Vladimir Vlassov
Designing Distributed Applications Using a Phase-Aware, Reversible System. EDGE (2017)
Ying Liu, Daharewa Gureya, Ahmad Al-Shishtawy, Vladimir Vlassov
OnlineElastMan: self-trained proactive elasticity manager for cloud-based storage services. Clust. Comput. 20 (3) (2017)
Vamis Xhagjika, Òscar Divorra Escoda, Leandro Navarro, Vladimir Vlassov
Load and Video Performance Patterns of a Cloud Based WebRTC Architecture. CCGrid (2017)
Nuno Apolónia, Felix Freitag, Leandro Navarro, Sarunas Girdzijauskas, Vladimir Vlassov
Gossip-based service monitoring platform for wireless edge cloud computing. ICNSC (2017)
Ahsan Javed Awan, Moriyoshi Ohara, Eduard Ayguadé, Kazuaki Ishizaki, Mats Brorsson, Vladimir Vlassov
Identifying the potential of near data processing for apache spark. MEMSYS (2017)
Ying Liu, Xi Guan, Vladimir Vlassov, Seif Haridi
MeteorShower: Minimizing Request Latency for Majority Quorum-Based Data Consistency Algorithms in Multiple Data Centers. ICDCS (2017)
Vamis Xhagjika, Òscar Divorra Escoda, Leandro Navarro, Vladimir Vlassov
Media streams allocation and load patterns for a WebRTC cloud architecture. NOF (2017)
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
Identifying the potential of Near Data Computing for Apache Spark. CoRR (2017)
Navaneeth Rameshan, Ying Liu, Leandro Navarro, Vladimir Vlassov
Elastic Scaling in the Cloud: A Multi-tenant Perspective. ICDCS Workshops (2016)
Ying Liu, Daharewa Gureya, Ahmad Al-Shishtawy, Vladimir Vlassov
OnlineElastMan: Self-Trained Proactive Elasticity Manager for Cloud-Based Storage Services. ICCAC (2016)
Ruma R. Paul, Peter Van Roy, Vladimir Vlassov
Reversible Phase Transitions in a Structured Overlay Network with Churn. NETYS (2016)
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study. CoRR (2016)
Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi
High-Level Programming Abstractions for Distributed Graph Processing. CoRR (2016)
Navaneeth Rameshan, Robert Birke, Leandro Navarro, Vladimir Vlassov, Bhuvan Urgaonkar, George Kesidis, Martin L. Schmatz, Lydia Y. Chen
Profiling Memory Vulnerability of Big-Data Applications. DSN Workshops (2016)
Hooman Peiro Sajjad, Ken Danniswara, Ahmad Al-Shishtawy, Vladimir Vlassov
SpanEdge: Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers. SEC (2016)
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
Micro-Architectural Characterization of Apache Spark on Batch and Stream Processing Workloads. BDCloud-SocialCom-SustainCom (2016)
Ahsan Javed Awan, Vladimir Vlassov, Mats Brorsson, Eduard Ayguadé
Node architecture implications for in-memory data analytics on scale-in clusters. BDCAT (2016)
Navaneeth Rameshan, Ying Liu, Leandro Navarro, Vladimir Vlassov
Hubbub-Scale: Towards Reliable Elastic Scaling under Multi-tenancy. CCGrid (2016)
Ying Liu, Qinjin Wang, Vladimir Vlassov
Catenae: Low Latency Transactions across Multiple Data Centers. ICPADS (2016)
Hooman Peiro Sajjad, Amir H. Payberah, Fatemeh Rahimian, Vladimir Vlassov, Seif Haridi
Boosting Vertex-Cut Partitioning for Streaming Graphs. BigData Congress (2016)
Roger Baig, Felix Freitag, Agustí Moll, Leandro Navarro, Roger Pueyo Centelles, Vladimir Vlassov
Cloud-based community services in community networks. ICNC (2016)
Navaneeth Rameshan, Ying Liu, Leandro Navarro, Vladimir Vlassov
Augmenting Elasticity Controllers for Improved Accuracy. ICAC (2016)
Ruma R. Paul, Peter Van Roy, Vladimir Vlassov
Interaction between Network Partitioning and Churn in a Self-Healing Structured Overlay Network. ICPADS (2015)
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server. BDCloud (2015)
Hooman Peiro Sajjad, Fatemeh Rahimian, Vladimir Vlassov
Smart partitioning of geo-distributed resources to improve cloud network performance. CloudNet (2015)
Roger Baig, Felix Freitag, Amin M. Khan, Agustí Moll, Leandro Navarro, Roger Pueyo Centelles, Vladimir Vlassov
Community clouds at the edge deployed in Guifi.net. CloudNet (2015)
Ken Danniswara, Hooman Peiro Sajjad, Ahmad Al-Shishtawy, Vladimir Vlassov
Stream Processing in Community Network Clouds. FiCloud (2015)
Roger Baig, Jim Dowling, Pau Escrich Garcia, Felix Freitag, Roc Meseguer, Agustí Moll, Leandro Navarro, Ermanno Pietrosemoli, Roger Pueyo Centelles, Vladimir Vlassov, Marco Zennaro
Deploying clouds in the Guifi community network. IM (2015)
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
How Data Volume Affects Spark Based Data Analytics on a Scale-up Server. BPOE (2015)
Roger Baig, Felix Freitag, Agustí Moll, Leandro Navarro, Roger Pueyo Centelles, Vladimir Vlassov
Community network clouds as a case for the IEEE Intercloud standardization. CSCN (2015)
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
How Data Volume Affects \\Spark Based Data Analytics on a Scale-up Server. CoRR (2015)
Marianela Garcia Lozano, Ulrik Franke, Magnus Rosell, Vladimir Vlassov
Towards Automatic Veracity Assessment of Open Source Information. BigData Congress (2015)
Roger Baig, Rodrigo Carbajales, Pau Escrich Garcia, Jorge L. Florit, Felix Freitag, Agustí Moll, Leandro Navarro, Ermanno Pietrosemoli, Roger Pueyo Centelles, Mennan Selimi, Vladimir Vlassov, Marco Zennaro
The cloudy distribution in community network clouds in Guifi.net. IM (2015)
Paris Carbone, Vladimir Vlassov
Auto-Scoring of Personalised News in the Real-Time Web: Challenges, Overview and Evaluation of the State-of-the-Art Solutions. ICCAC (2015)
Vamis Xhagjika, Leandro Navarro, Vladimir Vlassov
Enhancing Real-Time Applications by Means of Multi-tier Cloud Federations. CloudCom (2015)
Roger Baig, Felix Freitag, Agustí Moll, Leandro Navarro, Roger Pueyo Centelles, Vladimir Vlassov
Experiences in Building Micro-cloud Provider Federation in the Guifi Community Network. UCC (2015)
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov, Eduard Ayguadé
Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server. CoRR (2015)
Ying Liu, Navaneeth Rameshan, Enric Monte, Vladimir Vlassov, Leandro Navarro
ProRenaTa: Proactive and Reactive Tuning to Scale a Distributed Storage System. CCGRID (2015)
Ruma R. Paul, Peter Van Roy, Vladimir Vlassov
An empirical study of the global behavior of a structured overlay network. P2P (2014)
Artur Podobas, Mats Brorsson, Vladimir Vlassov
TurboBŁYSK: Scheduling for Improved Data-Driven Task Performance with Fast Dependency Resolution. IWOMP (2014)
Ying Liu, Vladimir Vlassov, Leandro Navarro
Towards a Community Cloud Storage. AINA (2014)
Navaneeth Rameshan, Leandro Navarro, Enric Monte, Vladimir Vlassov
, protecting sensitive applications from performance interference. Middleware (2014)
Ying Liu, Vamis Xhagjika, Vladimir Vlassov, Ahmad Al-Shishtawy
BwMan: Bandwidth Manager for Elastic Services in the Cloud. ISPA (2014)
Vasiliki Kalavri, Stephan Ewen, Kostas Tzoumas, Vladimir Vlassov, Volker Markl, Seif Haridi
Asymmetry in Large-Scale Graph Analysis, Explained. GRADES (2014)
Vamis Xhagjika, Vladimir Vlassov, Magnus Molin, Simona Toma
Structured Cloud federation for Carrier and ISP infrastructure. CloudNet (2014)
Ying Liu, Xiaxi Li, Vladimir Vlassov
GlobLease: A globally consistent and elastic storage system using leases. ICPADS (2014)
Vasiliki Kalavri, Vladimir Vlassov
MapReduce: Limitations, Optimizations and Open Issues. TrustCom/ISPA/IUCC (2013)
Vasiliki Kalavri, Vaidas Brundza, Vladimir Vlassov
Block Sampling: Efficient Accurate Online Aggregation in MapReduce. CloudCom (1) (2013)
Javi Jimenez, Roger Baig, Pau Escrich Garcia, Amin M. Khan, Felix Freitag, Leandro Navarro, Ermanno Pietrosemoli, Marco Zennaro, Amir H. Payberah, Vladimir Vlassov
Supporting cloud deployment in the Guifi.net community network. GIIS (2013)
Vasiliki Kalavri, Vladimir Vlassov, Per Brand
PonIC: Using Stratosphere to Speed Up Pig Analytics. Euro-Par (2013)
Vasiliki Kalavri, Hui Shang, Vladimir Vlassov
m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data. CSE (2013)
Ananya Muddukrishna, Peter A. Jonsson, Vladimir Vlassov, Mats Brorsson
Locality-Aware Task Scheduling and Data Distribution on NUMA Systems. IWOMP (2013)
Ying Liu, Vladimir Vlassov
Replication in Distributed Storage Systems: State of the Art, Possible Directions, and Open Issues. CyberC (2013)
Ahmad Al-Shishtawy, Vladimir Vlassov
ElastMan: elasticity manager for elastic key-value stores in the cloud. CAC (2013)
Ahmad Al-Shishtawy, Vladimir Vlassov
ElastMan: autonomic elasticity manager for cloud-based key-value stores. HPDC (2013)
Imran Mahmood, Rassul Ayani, Vladimir Vlassov, Farshad Moradi
Composability Verification of Real Time System Models Using Colored Petri Nets. UKSim (2013)
Artur Podobas, Mats Brorsson, Vladimir Vlassov
Exploring Heterogeneous Scheduling Using the Task-Centric Programming Model. Euro-Par Workshops (2012)
Ananya Muddukrishna, Artur Podobas, Mats Brorsson, Vladimir Vlassov
Task Scheduling on Manycore Processors with Home Caches. Euro-Par Workshops (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vladimir Vlassov