activity
20122022
most citedCHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi

25 citations · 55 across the 10 of their papers we have counts for

collaborators

14 papers

cs.LG2022

Data-driven Real-time Short-term Prediction of Air Quality: Comparison of ES, ARIMA, and LSTM

Iryna Talamanova, Sabri Pllana

Air pollution is a worldwide issue that affects the lives of many people in urban areas. It is considered that the air pollution may lead to heart and lung diseases. A careful and…

cs.SE2021

Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach

Suejb Memeti, Sabri Pllana

Heterogeneous computing systems provide high performance and energy efficiency. However, to optimally utilize such systems, solutions that distribute the work across host CPUs and…

cs.OH2019

Customizing Pareto Simulated Annealing for Multi-objective Optimization of Control Cabinet Layout

Sabri Pllana, Suejb Memeti, Joanna Kolodziej

Determining the optimal location of control cabinet components requires the exploration of a large configuration space. For real-world control cabinets it is impractical to evaluat…

cs.DC2019

Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures

Andre Viebke, Sabri Pllana, Suejb Memeti +1

Many complex problems, such as natural language processing or visual object detection, are solved using deep learning. However, efficient training of complex deep convolutional neu…

cs.SD2018

A Machine Learning Driven IoT Solution for Noise Classification in Smart Cities

Yasser Alsouda, Sabri Pllana, Arianit Kurti

We present a machine learning based method for noise classification using a low-power and inexpensive IoT unit. We use Mel-frequency cepstral coefficients for audio feature extract…

cs.DC201725 cited

CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi

Andre Viebke, Suejb Memeti, Sabri Pllana +1

Deep learning is an important component of big-data analytic tools and intelligent applications, such as, self-driving cars, computer vision, speech recognition, or precision medic…