mEDA-2: An Extension of PVM. - Vladimir Vlassov; Hallo Ahmed; Lars-Erik Thorelli (PaCT, 1995)

Analytical Models of Multithreading with Data Prefetching. - Vladimir Vlassov; Lars-Erik Thorelli (Euro-Par, Vol. II, 1996)

A Simulation Platform for Multi-Threaded Architectures. - Vladimir Vlassov; Hallo Ahmed; Lars-Erik Thorelli; Rassul Ayani (MASCOTS, 1996)

A Synchronizing Shared Memory: Model and Programming Implementation. - Vladimir Vlassov; Lars-Erik Thorelli (PVM/MPI, 1997)

Modeling and Simulation of Multithreaded Architectures. - Vladimir Vlassov; Rassul Ayani; Lars-Erik Thorelli (Simul., 1997)

Synchronizing Communication Primitives for a Shared Memory Programming Model. - Vladimir Vlassov; Lars-Erik Thorelli (Euro-Par, 1998)

NUTS: a Distributed Object-oriented Platform with High Level Communication Functions. - Vladimir Vlassov; Mattin Addibpour; Enn Tyugu (Comput. Artif. Intell., 1998)

Coordination Models and Facilities could be Parallel Software Accelerators. - Anatoly E. Doroshenko; Lars-Erik Thorelli; Vladimir Vlassov (HPCN Europe, 1999)

A Queuing Model of a Multi-threaded Architecture: A Case Study. - Vladimir Vlassov; Alexander Kraynikov (PaCT, 1999)

Analytical modeling of multithreaded architectures. - Vladimir Vlassov; Rassul Ayani (J. Syst. Archit., 2000)

Concurrent Implementation of Structurally Synthesized Programs. - Sven Lämmermann; Enn Tyugu; Vladimir Vlassov (PaCT, 2001)

An Approach to Composing Parallel Programs. - Lars-Erik Thorelli; Vladimir Vlassov (PaCT, 2001)

An Efficient Marshaling Framework for Distributed Systems. - Konstantin Popov; Vladimir Vlassov; Per Brand; Seif Haridi (PaCT, 2003)

Parallel Agent-Based Simulation On A Cluster Of Workstations. - Konstantin Popov; Mahmoud Rafea; Fredrik Holmgren; Per Brand; Vladimir Vlassov; Seif Haridi (Parallel Process. Lett., 2003)

Practical Experience in Building an Agent System for Semantics-Based Provision and Selection of Grid Services. - Gustaf Nimar; Vladimir Vlassov; Konstantin Popov (PPAM, 2005)

An efficient incremental marshaling framework for distributed systems. - Konstantin Popov; Vladimir Vlassov; Per Brand; Seif Haridi (Future Gener. Comput. Syst., 2005)

DOH: A Content Delivery Peer-to-Peer Network. - Jimmy Jernberg; Vladimir Vlassov; Ali Ghodsi 002; Seif Haridi (Euro-Par, 2006)

A Scalable Autonomous Replica Management Framework for Grids. - Vladimir Vlassov; Dong Li; Konstantin Popov; Seif Haridi (John Vincent Atanasoff Symposium, 2006)

Router Placement in Wireless Sensor Networks. - Michael Ahlberg; Vladimir Vlassov; Terumasa Yasui (MASS, 2006)

The Role of Overlay Services In a Self-Managing Framework for Dynamic Virtual Organizations. - Per Brand; Joel Höglund; Konstantin Popov; Noel De Palma; Fabienne Boyer; Nikos Parlavantzas; Vladimir Vlassov; Ahmad Al-Shishtawy (CoreGRID Workshop - Making Grids Work, 2007)

Support for Fine-Grained Synchronization in Shared-Memory Multiprocessors. - Vladimir Vlassov; Oscar Sierra Merino; Csaba Andras Moritz; Konstantin Popov (PaCT, 2007)

Peer-to-Peer resource discovery in Grids: Models and systems. - Paolo Trunfio; Domenico Talia; Harris Papadakis; Paraskevi Fragopoulou; Matteo Mordacchini; M. Pennanen; Konstantin Popov; Vladimir Vlassov; Seif Haridi (Future Gener. Comput. Syst., 2007)

Distributed Control Loop Patterns for Managing Distributed Applications. - Ahmad Al-Shishtawy; Joel Höglund; Konstantin Popov; Nikos Parlavantzas; Vladimir Vlassov; Per Brand (SASO Workshops, 2008)

Synchronization coherence: A transparent hardware mechanism for cache coherence and fine-grained synchronization. - Yao Guo 001; Vladimir Vlassov; Raksit Ashok; Richard Weiss 001; Csaba Andras Moritz (J. Parallel Distributed Comput., 2008)

A Design Methodology for Self-Management in Distributed Environments. - Ahmad Al-Shishtawy; Vladimir Vlassov; Per Brand; Seif Haridi (CSE (1), 2009)

Statemachine Matching in BOM Based Model Composition. - Imran Mahmood; Rassul Ayani; Vladimir Vlassov; Farshad Moradi (DS-RT, 2009)

Tools for Architecture Based Autonomic Systems. - Noel De Palma; Konstantin Popov; Nikos Parlavantzas; Per Brand; Vladimir Vlassov (ICAS, 2009)

Churn Tolerant Virtual Organization File System for Grids. - Leif Lindbäck; Vladimir Vlassov; Shahab Mokarizadeh; Gabriele Violino (PPAM (2), 2009)

Achieving Robust Self-Management for Large-Scale Distributed Applications. - Ahmad Al-Shishtawy; Muhammad Asif Fayyaz; Konstantin Popov; Vladimir Vlassov (SASO, 2010)

Policy Based Self-Management in Distributed Environments. - Lin Bao; Ahmad Al-Shishtawy; Vladimir Vlassov (SASO Workshops, 2010)

VOFS: A Secure Churn-Tolerant Grid File System. - Leif Lindbäck; Vladimir Vlassov; Shahab Mokarizadeh; Gabriele Violino (Scalable Comput. Pract. Exp., 2010)

Robust Fault-Tolerant Majority-Based Key-Value Store Supporting Multiple Consistency Levels. - Ahmad Al-Shishtawy; Tareq Jamal Khan; Vladimir Vlassov (ICPADS, 2011)

Fairness Verification of BOM-Based Composed Models Using Petri Nets. - Imran Mahmood; Rassul Ayani; Vladimir Vlassov; Farshad Moradi (PADS, 2011)

Task Scheduling on Manycore Processors with Home Caches. - Ananya Muddukrishna; Artur Podobas; Mats Brorsson; Vladimir Vlassov (Euro-Par Workshops, 2012)

Exploring Heterogeneous Scheduling Using the Task-Centric Programming Model. - Artur Podobas; Mats Brorsson; Vladimir Vlassov (Euro-Par Workshops, 2012)

Elasticity Controller for Cloud-Based Key-Value Stores. - Ala Arman; Ahmad Al-Shishtawy; Vladimir Vlassov (ICPADS, 2012)

Verifying Dynamic Semantic Composability of BOM-Based Composed Models Using Colored Petri Nets. - Imran Mahmood; Rassul Ayani; Vladimir Vlassov; Farshad Moradi (PADS, 2012)

ElastMan: elasticity manager for elastic key-value stores in the cloud. - Ahmad Al-Shishtawy; Vladimir Vlassov (CAC, 2013)

Block Sampling: Efficient Accurate Online Aggregation in MapReduce. - Vasiliki Kalavri; Vaidas Brundza; Vladimir Vlassov (CloudCom (1), 2013)

m2r2: A Framework for Results Materialization and Reuse in High-Level Dataflow Systems for Big Data. - Vasiliki Kalavri; Hui Shang; Vladimir Vlassov (CSE, 2013)

Replication in Distributed Storage Systems: State of the Art, Possible Directions, and Open Issues. - Ying Liu 008; Vladimir Vlassov (CyberC, 2013)

PonIC: Using Stratosphere to Speed Up Pig Analytics. - Vasiliki Kalavri; Vladimir Vlassov; Per Brand (Euro-Par, 2013)

Supporting cloud deployment in the Guifi.net community network. - Javi Jimenez; Roger Baig; Pau Escrich Garcia; Amin M. Khan; Felix Freitag; Leandro Navarro 001; Ermanno Pietrosemoli; Marco Zennaro; Amir Hossein Payberah; Vladimir Vlassov (GIIS, 2013)

ElastMan: autonomic elasticity manager for cloud-based key-value stores. - Ahmad Al-Shishtawy; Vladimir Vlassov (HPDC, 2013)

Locality-Aware Task Scheduling and Data Distribution on NUMA Systems. - Ananya Muddukrishna; Peter A. Jonsson; Vladimir Vlassov; Mats Brorsson (IWOMP, 2013)

MapReduce: Limitations, Optimizations and Open Issues. - Vasiliki Kalavri; Vladimir Vlassov (TrustCom/ISPA/IUCC, 2013)

Composability Verification of Real Time System Models Using Colored Petri Nets. - Imran Mahmood; Rassul Ayani; Vladimir Vlassov; Farshad Moradi (UKSim, 2013)

Towards a Community Cloud Storage. - Ying Liu 008; Vladimir Vlassov; Leandro Navarro 001 (AINA, 2014)

Structured Cloud federation for Carrier and ISP infrastructure. - Vamis Xhagjika; Vladimir Vlassov; Magnus Molin; Simona Toma (CloudNet, 2014)

GlobLease: A globally consistent and elastic storage system using leases. - Ying Liu 008; Xiaxi Li; Vladimir Vlassov (ICPADS, 2014)

BwMan: Bandwidth Manager for Elastic Services in the Cloud. - Ying Liu 008; Vamis Xhagjika; Vladimir Vlassov; Ahmad Al-Shishtawy (ISPA, 2014)

TurboBŁYSK: Scheduling for Improved Data-Driven Task Performance with Fast Dependency Resolution. - Artur Podobas; Mats Brorsson; Vladimir Vlassov (IWOMP, 2014)

Stay-Away, protecting sensitive applications from performance interference. - Navaneeth Rameshan; Leandro Navarro 001; Enric Monte; Vladimir Vlassov (Middleware, 2014)

An empirical study of the global behavior of a structured overlay network. - Ruma R. Paul; Peter Van Roy; Vladimir Vlassov (P2P, 2014)

Asymmetry in Large-Scale Graph Analysis, Explained. - Vasiliki Kalavri; Stephan Ewen; Kostas Tzoumas; Vladimir Vlassov; Volker Markl; Seif Haridi (GRADES, 2014)

Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server. - Ahsan Javed Awan; Mats Brorsson; Vladimir Vlassov; Eduard Ayguadé (BDCloud, 2015)

Towards Automatic Veracity Assessment of Open Source Information. - Marianela García Lozano; Ulrik Franke; Magnus Rosell; Vladimir Vlassov (BigData Congress, 2015)

How Data Volume Affects Spark Based Data Analytics on a Scale-up Server. - Ahsan Javed Awan; Mats Brorsson; Vladimir Vlassov; Eduard Ayguadé (BPOE, 2015)

ProRenaTa: Proactive and Reactive Tuning to Scale a Distributed Storage System. - Ying Liu 008; Navaneeth Rameshan; Enric Monte; Vladimir Vlassov; Leandro Navarro 001 (CCGRID, 2015)

Enhancing Real-Time Applications by Means of Multi-tier Cloud Federations. - Vamis Xhagjika; Leandro Navarro 001; Vladimir Vlassov (CloudCom, 2015)

Community clouds at the edge deployed in Guifi.net. - Roger Baig; Felix Freitag; Amin M. Khan; Agustí Moll; Leandro Navarro 001; Roger Pueyo Centelles; Vladimir Vlassov (CloudNet, 2015)

Smart partitioning of geo-distributed resources to improve cloud network performance. - Hooman Peiro Sajjad; Fatemeh Rahimian; Vladimir Vlassov (CloudNet, 2015)

Community network clouds as a case for the IEEE Intercloud standardization. - Roger Baig; Felix Freitag; Agustí Moll; Leandro Navarro 001; Roger Pueyo Centelles; Vladimir Vlassov (CSCN, 2015)

Stream Processing in Community Network Clouds. - Ken Danniswara; Hooman Peiro Sajjad; Ahmad Al-Shishtawy; Vladimir Vlassov (FiCloud, 2015)

Auto-Scoring of Personalised News in the Real-Time Web: Challenges, Overview and Evaluation of the State-of-the-Art Solutions. - Paris Carbone; Vladimir Vlassov (ICCAC, 2015)

Interaction between Network Partitioning and Churn in a Self-Healing Structured Overlay Network. - Ruma R. Paul; Peter Van Roy; Vladimir Vlassov (ICPADS, 2015)

The cloudy distribution in community network clouds in Guifi.net. - Roger Baig; Rodrigo Carbajales; Pau Escrich Garcia; Jorge L. Florit; Felix Freitag; Agustí Moll; Leandro Navarro 001; Ermanno Pietrosemoli; Roger Pueyo Centelles; Mennan Selimi; Vladimir Vlassov; Marco Zennaro (IM, 2015)

Deploying clouds in the Guifi community network. - Roger Baig; Jim Dowling; Pau Escrich Garcia; Felix Freitag; Roc Meseguer; Agustí Moll; Leandro Navarro 001; Ermanno Pietrosemoli; Roger Pueyo Centelles; Vladimir Vlassov; Marco Zennaro (IM, 2015)

Experiences in Building Micro-cloud Provider Federation in the Guifi Community Network. - Roger Baig; Felix Freitag; Agustí Moll; Leandro Navarro 001; Roger Pueyo Centelles; Vladimir Vlassov (UCC, 2015)

Node architecture implications for in-memory data analytics on scale-in clusters. - Ahsan Javed Awan; Vladimir Vlassov; Mats Brorsson; Eduard Ayguadé (BDCAT, 2016)

Micro-Architectural Characterization of Apache Spark on Batch and Stream Processing Workloads. - Ahsan Javed Awan; Mats Brorsson; Vladimir Vlassov; Eduard Ayguadé (BDCloud-SocialCom-SustainCom, 2016)

Boosting Vertex-Cut Partitioning for Streaming Graphs. - Hooman Peiro Sajjad; Amir Hossein Payberah; Fatemeh Rahimian; Vladimir Vlassov; Seif Haridi (BigData Congress, 2016)

Hubbub-Scale: Towards Reliable Elastic Scaling under Multi-tenancy. - Navaneeth Rameshan; Ying Liu 008; Leandro Navarro 001; Vladimir Vlassov (CCGrid, 2016)

Profiling Memory Vulnerability of Big-Data Applications. - Navaneeth Rameshan; Robert Birke; Leandro Navarro 001; Vladimir Vlassov; Bhuvan Urgaonkar; George Kesidis; Martin L. Schmatz; Lydia Y. Chen (DSN Workshops, 2016)

SpanEdge: Towards Unifying Stream Processing over Central and Near-the-Edge Data Centers. - Hooman Peiro Sajjad; Ken Danniswara; Ahmad Al-Shishtawy; Vladimir Vlassov (SEC, 2016)

Augmenting Elasticity Controllers for Improved Accuracy. - Navaneeth Rameshan; Ying Liu 008; Leandro Navarro 001; Vladimir Vlassov (ICAC, 2016)

Cloud-based community services in community networks. - Roger Baig; Felix Freitag; Agustí Moll; Leandro Navarro 001; Roger Pueyo Centelles; Vladimir Vlassov (ICNC, 2016)

Elastic Scaling in the Cloud: A Multi-tenant Perspective. - Navaneeth Rameshan; Ying Liu 008; Leandro Navarro 001; Vladimir Vlassov (ICDCS Workshops, 2016)

Catenae: Low Latency Transactions across Multiple Data Centers. - Ying Liu 008; Qinjin Wang; Vladimir Vlassov (ICPADS, 2016)

Reversible Phase Transitions in a Structured Overlay Network with Churn. - Ruma R. Paul; Peter Van Roy; Vladimir Vlassov (NETYS, 2016)

Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study. - Ahsan Javed Awan; Mats Brorsson; Vladimir Vlassov; Eduard Ayguadé (CoRR, 2016)

Load and Video Performance Patterns of a Cloud Based WebRTC Architecture. - Vamis Xhagjika; Òscar Divorra Escoda; Leandro Navarro 001; Vladimir Vlassov (CCGrid, 2017)

Designing Distributed Applications Using a Phase-Aware, Reversible System. - Ruma R. Paul; Jérémie Melchior; Peter Van Roy; Vladimir Vlassov (EDGE, 2017)

MeteorShower: Minimizing Request Latency for Majority Quorum-Based Data Consistency Algorithms in Multiple Data Centers. - Ying Liu 008; Xi Guan; Vladimir Vlassov; Seif Haridi (ICDCS, 2017)

Gossip-based service monitoring platform for wireless edge cloud computing. - Nuno Apolónia; Felix Freitag; Leandro Navarro 001; Sarunas Girdzijauskas; Vladimir Vlassov (ICNSC, 2017)

Identifying the potential of near data processing for apache spark. - Ahsan Javed Awan; Moriyoshi Ohara; Eduard Ayguadé; Kazuaki Ishizaki; Mats Brorsson; Vladimir Vlassov (MEMSYS, 2017)

Media streams allocation and load patterns for a WebRTC cloud architecture. - Vamis Xhagjika; Òscar Divorra Escoda; Leandro Navarro 001; Vladimir Vlassov (NOF, 2017)

OnlineElastMan: self-trained proactive elasticity manager for cloud-based storage services. - Ying Liu 008; Daharewa Gureya; Ahmad Al-Shishtawy; Vladimir Vlassov (Clust. Comput., 2017)

Identifying the potential of Near Data Computing for Apache Spark. - Ahsan Javed Awan; Mats Brorsson; Vladimir Vlassov; Eduard Ayguadé (CoRR, 2017)

Short-Term Traffic Prediction Using Long Short-Term Memory Neural Networks. - Zainab Abbas; Ahmad Al-Shishtawy; Sarunas Girdzijauskas; Vladimir Vlassov (BigData Congress, 2018)

Optimizing Windowed Aggregation over Geo-Distributed Data Streams. - Hooman Peiro Sajjad; Ying Liu 008; Vladimir Vlassov (EDGE, 2018)

Demo abstract: Towards IoT service deployments on edge community network microclouds. - Amin M. Khan; Felix Freitag; Vladimir Vlassov; Phuong Hoai Ha (INFOCOM Workshops, 2018)

Evaluation of the Use of Streaming Graph Processing Algorithms for Road Congestion Detection. - Zainab Abbas; Thorsteinn Thorri Sigurdsson; Ahmad Al-Shishtawy; Vladimir Vlassov (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Human Activity Recognition Using Federated Learning. - Konstantin Sozinov; Vladimir Vlassov; Sarunas Girdzijauskas (ISPA/IUCC/BDCloud/SocialCom/SustainCom, 2018)

Streaming Graph Partitioning: An Experimental Study. - Zainab Abbas; Vasiliki Kalavri; Paris Carbone; Vladimir Vlassov (Proc. VLDB Endow., 2018)

High-Level Programming Abstractions for Distributed Graph Processing. - Vasiliki Kalavri; Vladimir Vlassov; Seif Haridi (IEEE Trans. Knowl. Data Eng., 2018)

Scaling Deep Learning Models for Large Spatial Time-Series Forecasting. - Zainab Abbas; Jon Reginbald Ivarsson; Ahmad Al-Shishtawy; Vladimir Vlassov (IEEE BigData, 2019)

From Copernicus Big Data to Extreme Earth Analytics. - Manolis Koubarakis; Konstantina Bereta; Dimitris Bilidas; Konstantinos Giannousis; Theofilos Ioannidis; Despina-Athanasia Pantazi; George Stamoulis 001; Jim Dowling; Seif Haridi; Vladimir Vlassov; Lorenzo Bruzzone; Claudia Paris; et al. (EDBT, 2019)

On the Case of Privacy in the IoT Ecosystem: A Survey. - Sana Imtiaz; Ramin Sadre; Vladimir Vlassov (iThings/GreenCom/CPSCom/SmartData, 2019)

Clouds for scalable Big Data processing. - Paolo Trunfio; Vladimir Vlassov (Int. J. Parallel Emergent Distributed Syst., 2019)

Privacy Preserving Time-Series Forecasting of User Health Data Streams. - Sana Imtiaz; Sonia-Florina Horchidan; Zainab Abbas; Muhammad Arsalan; Hassan Nazeer Chaudhry; Vladimir Vlassov (IEEE BigData, 2020)

Repeating Link Prediction over Dynamic Graphs. - Daniele Montesi; Sarunas Girdzijauskas; Vladimir Vlassov (IEEE BigData, 2020)

Maggy: Scalable Asynchronous Parallel Hyperparameter Search. - Moritz Meister; Sina Sheikholeslami; Amir Hossein Payberah; Vladimir Vlassov; Jim Dowling (DistributedML@CoNEXT, 2020)

CONVJSSP: Convolutional Learning for Job-Shop Scheduling Problems. - Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov (ICMLA, 2020)

Bandwidth-Aware Page Placement in NUMA. - David Gureya; João Neto 001; Reza Karimi; João Barreto 001; Pramod Bhatotia; Vivien Quéma; Rodrigo Rodrigues 001; Paolo Romano 002; Vladimir Vlassov (IPDPS, 2020)

Framework-Agnostic Optimization of Repeated Skewed Joins at Massive Scale. - Andrea Nardelli; Vladimir Vlassov; Amir Hossein Payberah (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Veracity assessment of online data. - Marianela García Lozano; Joel Brynielsson; Ulrik Franke; Magnus Rosell; Edward Tjörnhammar; Stefan Varga; Vladimir Vlassov (Decis. Support Syst., 2020)

Generalizing QoS-Aware Memory Bandwidth Allocation to Multi-Socket Cloud Servers. - David Gureya; João Barreto 001; Vladimir Vlassov (CLOUD, 2021)

A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation. - Albert Asratyan; Sina Sheikholeslami; Vladimir Vlassov (IEEE BigData, 2021)

Privacy Preserving Survival Prediction. - Stefano Fedeli; Frida Schain; Sana Imtiaz; Zainab Abbas; Vladimir Vlassov (IEEE BigData, 2021)

AutoAblation: Automated Parallel Ablation Studies for Deep Learning. - Sina Sheikholeslami; Moritz Meister; Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov; Jim Dowling (EuroMLSys@EuroSys, 2021)

Synthetic and Private Smart Health Care Data Generation using GANs. - Sana Imtiaz; Muhammad Arsalan; Vladimir Vlassov; Ramin Sadre (ICCCN, 2021)

PyDPLib: Python Differential Privacy Library for Private Medical Data Analytics. - Sana Imtiaz; Philipp Matthies; Francisco Pinto; Máté E. Maros; Holger Wenz; Ramin Sadre; Vladimir Vlassov (ICDH, 2021)

Machine Learning with Reconfigurable Privacy on Resource-Limited Computing Devices. - Sana Imtiaz; Zannatun N. Tania; Hassan Nazeer Chaudhry; Muhammad Arsalan; Ramin Sadre; Vladimir Vlassov (ISPA/BDCloud/SocialCom/SustainCom, 2021)

BALM: QoS-Aware Memory Bandwidth Partitioning for Multi-Socket Cloud Nodes. - David Gureya; Vladimir Vlassov; João Barreto 001 (SPAA, 2021)

ExtremeEarth Meets Satellite Data From Space. - 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; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Node Context Selection in Transformer-Based Graph Representation Learning Models. - Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov (IEEE Big Data, 2022)

Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement. - Tianze Wang; Amir Hossein Payberah; Desta Haileselassie Hagos; Vladimir Vlassov (DAIS, 2022)

Energy-Efficient Privacy-Preserving Time-Series Forecasting on User Health Data Streams. - Muhammad Arsalan; Davide Di Matteo; Sana Imtiaz; Zainab Abbas; Vladimir Vlassov; Vadim Issakov (TrustCom, 2022)

Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement. - Tianze Wang; Amir Hossein Payberah; Desta Haileselassie Hagos; Vladimir Vlassov (CoRR, 2022)

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks. - Desta Haileselassie Hagos; Theofilos Kakantousis; Sina Sheikholeslami; Tianze Wang; Vladimir Vlassov; Amir Hossein Payberah; Moritz Meister; Robin Andersson; Jim Dowling (Remote. Sens., 2022)

The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks. - Sina Sheikholeslami; Amir Hossein Payberah; Tianze Wang; Jim Dowling; Vladimir Vlassov (DAIS, 2023)

Optimizing the Performance of Text Classification Models by Improving the Isotropy of the Embeddings Using a Joint Loss Function. - Joseph Attieh; Abraham Woubie Zewoudie; Vladimir Vlassov; Adrian Flanagan; Tom Bäckström (ICDAR (5), 2023)

Using Machine Learning to Recommend Personalized Modular Treatments for Common Mental Health Disorders. - Fabian Schmidt; Karin Hammerfald; Henrik Haaland Jahren; Ole André Solbakken; Amir Hossein Payberah; Vladimir Vlassov (ICDH, 2023)

Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization. - Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov (ICMLA, 2023)

AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes. - Guoyun Tu; Ying Liu 008; Vladimir Vlassov (CoRR, 2023)

Cloud-native RStudio on Kubernetes for Hopsworks. - Gibson Chikafa; Sina Sheikholeslami; Salman Niazi; Jim Dowling; Vladimir Vlassov (CoRR, 2023)

The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation. - Junhui Liang; Ying Liu 008; Vladimir Vlassov (CoRR, 2023)

Multimodal survival prediction using TabTransformer and BioClinicalBERT on MIMIC-III. - Beatrice Insalata; Fabian Schmidt; Vladimir Vlassov (IEEE Big Data, 2024)

DUGET: Leveraging Machine Learning for Dynamic User Grouping and Evolution Tracking in Public Transit Systems. - Tobias Johannesson; Isak Rubensson; Sina Sheikholeslami; Ahmad Al-Shishtawy; Vladimir Vlassov (IEEE Big Data, 2024)

Single-pass Hierarchical Text Classification with Large Language Models. - Fabian Schmidt; Karin Hammerfald; Henrik Haaland Jahren; Amir Hossein Payberah; Vladimir Vlassov (IEEE Big Data, 2024)

A Semi-Supervised Model for Non-Cellular Elements Segmentation in Microscopy Images of Wood. - Zihao Xu; Peter Nordström; Sina Sheikholeslami; Ahmad Al-Shishtawy; Vladimir Vlassov (IEEE Big Data, 2024)

Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews. - Sofia Krylova; Fabian Schmidt; Vladimir Vlassov (ICMLA, 2024)

The Hopsworks Feature Store for Machine Learning. - 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; et al. (SIGMOD Conference Companion, 2024)

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions. - Ashish Rauniyar; Desta Haileselassie Hagos; Debesh Jha; Jan Erik Håkegård; Ulas Bagci; Danda B. Rawat; Vladimir Vlassov (IEEE Internet Things J., 2024)

Utilizing Large Language Models for Ablation Studies in Machine Learning and Deep Learning. - Sina Sheikholeslami; Hamid Ghasemirahni; Amir Hossein Payberah; Tianze Wang; Jim Dowling; Vladimir Vlassov (EuroMLSys, 2025)

CFiCS: Graph-Based Classification of Common Factors and Microcounseling Skills. - Fabian Schmidt; Karin Hammerfald; Henrik Haaland Jahren; Vladimir Vlassov (CoRR, 2025)