
Information Plane Analysis of Deep Neural Networks via MatrixBased Renyi's Entropy and Tensor Kernels
Analyzing deep neural networks (DNNs) via information plane (IP) theory ...
read it

Towards detection and classification of microscopic foraminifera using transfer learning
Foraminifera are singlecelled marine organisms, which may have a plankt...
read it

Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks
Clinical measurements that can be represented as time series constitute ...
read it

An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
The key component in forecasting demand and consumption of resources in ...
read it

Temporal Overdrive Recurrent Neural Network
In this work we present a novel recurrent neural network architecture de...
read it

Training Echo State Networks with Regularization through Dimensionality Reduction
In this paper we introduce a new framework to train an Echo State Networ...
read it

Determination of the edge of criticality in echo state networks through Fisher information maximization
It is a widely accepted fact that the computational capability of recurr...
read it

Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data
Similaritybased approaches represent a promising direction for time ser...
read it

Manifold unwrapping using density ridges
Research on manifold learning within a density ridge estimation framewor...
read it

Optimized Kernel Entropy Components
This work addresses two main issues of the standard Kernel Entropy Compo...
read it

Identifying user habits through data mining on call data records
In this paper we propose a framework for identifying patterns and regula...
read it

Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs
We tackle the problem of classifying Electrocardiography (ECG) signals w...
read it

Models for energy consumption of data structures and algorithms
This deliverable reports our early energy models for data structures and...
read it

REOH: Runtime Energy Optimization for Heterogeneous Systems
Significant efforts have been devoted to choosing the best configuration...
read it

A bagtoclass divergence approach to multipleinstance learning
In multiinstance (MI) learning, each object (bag) consists of multiple ...
read it

Replication study: Development and validation of deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
We have replicated some experiments in 'Development and validation of a ...
read it

Reservoir computing approaches for representation and classification of multivariate time series
Classification of multivariate time series (MTS) has been tackled with a...
read it

An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples
A large fraction of the electronic health records consists of clinical m...
read it

Understanding Convolutional Neural Network Training with Information Theory
Using information theoretic concepts to understand and explore the inner...
read it

ConnNet: A LongRange RelationAware PixelConnectivity Network for Salient Segmentation
Salient segmentation aims to segment out attentiongrabbing regions, a c...
read it

DTRGAN: Dilated Temporal Relational Adversarial Network for Video Summarization
The large amount of videos popping up every day, make it is more and mor...
read it

Real root finding for equivariant semialgebraic systems
Let R be a real closed field. We consider basic semialgebraic sets defi...
read it

Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps
Convolutional Neural Networks (CNNs) are propelling advances in a range ...
read it

Remote sensing image regression for heterogeneous change detection
Change detection in heterogeneous multitemporal satellite images is an e...
read it

Multivariate Extension of Matrixbased Renyi's αorder Entropy Functional
The matrixbased Renyi's αorder entropy functional was recently introdu...
read it

Shrinkage estimation of rate statistics
This paper presents a simple shrinkage estimator of rates based on Bayes...
read it

Noisy multilabel semisupervised dimensionality reduction
Noisy labeled data represent a rich source of information that often are...
read it

Learning Latent Representations of Bank Customers With The Variational Autoencoder
Learning data representations that reflect the customers' creditworthine...
read it

A Polymatroid Approach to Generalized Weights of Rank Metric Codes
We consider the notion of a (q,m)polymatroid, due to Shiromoto, and the...
read it

HeTM: Transactional Memory for Heterogeneous Systems
Modern heterogeneous computing architectures, which couple multicore CP...
read it

Time series cluster kernels to exploit informative missingness and incomplete label information
The time series cluster kernel (TCK) provides a powerful tool for analys...
read it

Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images
We propose a network for semantic mapping called the Dense Dilated Convo...
read it

On the Performance and Energy Efficiency of the PGAS Programming Model on Multicore Architectures
Using largescale multicore systems to get the maximum performance and e...
read it

Greedy weights for matroids
We introduce greedy weights of matroids, inspired by those for linear co...
read it

A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs
A large fraction of the electronic health records (EHRs) consists of cli...
read it

DataDriven Robust Control Using Reinforcement Learning
This paper proposes a robust control design method using reinforcementl...
read it

Multiview SelfConstructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
We propose a novel architecture called the Multiview SelfConstructing ...
read it

Largescale detection and categorization of oil spills from SAR images with deep learning
We propose a deep learning framework to detect and categorize oil spills...
read it

Enhancing ensemble learning and transfer learning in multimodal data analysis by adaptive dimensionality reduction
Modern data analytics take advantage of ensemble learning and transfer l...
read it
University of Tromsø the Arctic University of Norway
The University of Tromsø  The Arctic University of Norway (Norwegian: Universitetet i Tromsø – Norges arktiske universitet; is the world's northernmost university.