51 citations · 145 across the 11 of their papers we have counts for
12 papers
The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation
Junhui Liang, Ying Liu, Vladimir Vlassov
Fashion understanding is a hot topic in computer vision, with many applications having great business value in the market. Fashion understanding remains a difficult challenge for c…
Cloud-native RStudio on Kubernetes for Hopsworks
Gibson Chikafa, Sina Sheikholeslami, Salman Niazi +2
In order to fully benefit from cloud computing, services are designed following the "multi-tenant" architectural model, which is aimed at maximizing resource sharing among users. H…
AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes
Guoyun Tu, Ying Liu, Vladimir Vlassov
Image captioning is a significant field across computer vision and natural language processing. We propose and present AIC-AB NET, a novel Attribute-Information-Combined Attention-…
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha +4
With the advent of the IoT, AI, ML, and DL algorithms, the landscape of data-driven medical applications has emerged as a promising avenue for designing robust and scalable diagnos…
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement
Tianze Wang, Amir H. Payberah, Desta Haileselassie Hagos +1
Modern neural networks require long training to reach decent performance on massive datasets. One common approach to speed up training is model parallelization, where large neural…
EuroCrops: A Pan-European Dataset for Time Series Crop Type Classification
Maja Schneider, Amelie Broszeit, Marco Körner
We present EuroCrops, a dataset based on self-declared field annotations for training and evaluating methods for crop type classification and mapping, together with its process of…
Bandwidth-Aware Page Placement in NUMA
David Gureya, João Neto, Reza Karimi +6
Page placement is a critical problem for memoryintensive applications running on a shared-memory multiprocessor with a non-uniform memory access (NUMA) architecture. State-of-the-a…
Identifying the potential of Near Data Computing for Apache Spark
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics…
High-Level Programming Abstractions for Distributed Graph Processing
Vasiliki Kalavri, Vladimir Vlassov, Seif Haridi
Efficient processing of large-scale graphs in distributed environments has been an increasingly popular topic of research in recent years. Inter-connected data that can be modeled…
Architectural Impact on Performance of In-memory Data Analytics: Apache Spark Case Study
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics…
How Data Volume Affects Spark Based Data Analytics on a Scale-up Server
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
Sheer increase in volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. Whil…
Performance Characterization of In-Memory Data Analytics on a Modern Cloud Server
Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov +1
In last decade, data analytics have rapidly progressed from traditional disk-based processing to modern in-memory processing. However, little effort has been devoted at enhancing p…