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VEST: Automatic Feature Engineering for Forecasting
Time series forecasting is a challenging task with applications in a wid...
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Autoencoders as Weight Initialization of Deep Classification Networks for Cancer versus Cancer Studies
Cancer is still one of the most devastating diseases of our time. One wa...
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BACH: Grand Challenge on Breast Cancer Histology Images
Breast cancer is the most common invasive cancer in women, affecting mor...
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A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision
The 3D depth estimation and relative pose estimation problem within a de...
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GarmNet: Improving Global with Local Perception for Robotic Laundry Folding
Developing autonomous assistants to help with domestic tasks is a vital ...
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Mind the Gap: A Well Log Data Analysis
The main task in oil and gas exploration is to gain an understanding of ...
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autoBagging: Learning to Rank Bagging Workflows with Metalearning
Machine Learning (ML) has been successfully applied to a wide range of d...
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Towards Adversarial Retinal Image Synthesis
Synthesizing images of the eye fundus is a challenging task that has bee...
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Bounds on the Number of Measurements for Reliable Compressive Classification
This paper studies the classification of high-dimensional Gaussian signa...
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Eigenspace Method for Spatiotemporal Hotspot Detection
Hotspot detection aims at identifying subgroups in the observations that...
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EigenEvent: An Algorithm for Event Detection from Complex Data Streams in Syndromic Surveillance
Syndromic surveillance systems continuously monitor multiple pre-diagnos...
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Event and Anomaly Detection Using Tucker3 Decomposition
Failure detection in telecommunication networks is a vital task. So far,...
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An eigenvector-based hotspot detection
Space and time are two critical components of many real world systems. F...
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Lifted Variable Elimination for Probabilistic Logic Programming
Lifted inference has been proposed for various probabilistic logical fra...
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Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information
This paper offers a characterization of fundamental limits on the classi...
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Introduction to the 28th International Conference on Logic Programming Special Issue
We are proud to introduce this special issue of the Journal of Theory an...
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SPPAM - Statistical PreProcessing AlgorithM
Most machine learning tools work with a single table where each row is a...
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Active Mining of Parallel Video Streams
The practicality of a video surveillance system is adversely limited by ...
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FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings
This paper presents the approach developed at the Faculty of Engineering...
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An Overview of Data Mining Applications in Oil and Gas Exploration: Structural Geology and Reservoir Property-Issues
Low oil prices have motivated energy executives to look into cost reduct...
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Mixed-criticality Scheduling with Dynamic Redistribution of Shared Cache
The design of mixed-criticality systems often involvespainful tradeoffs ...
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SimTensor: A synthetic tensor data generator
SimTensor is a multi-platform, open-source software for generating artif...
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Run Time Prediction for Big Data Iterative ML Algorithms: a KMeans case study
Data science and machine learning algorithms running on big data infrast...
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Integrating Small Satellite Communication in an Autonomous Vehicle Network: A Case on Oceanography
Small satellites and autonomous vehicles have greatly evolved in the las...
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The Sea Exploration Problem: Data-driven Orienteering on a Continuous Surface
This paper describes a problem arising in sea exploration, where the aim...
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CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering
Automatic solutions which enable the selection of the best algorithms fo...
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Using Automatic Refactoring to Improve Energy Efficiency of Android Apps
The ever-growing popularity of mobile phones has brought additional chal...
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Building robust prediction models for defective sensor data using Artificial Neural Networks
Predicting the health of components in complex dynamic systems such as a...
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Reconstruction of optical vector-fields with applications in endoscopic imaging
We introduce a framework for the reconstruction of the amplitude, phase ...
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Blockchain for Access Control in e-Health Scenarios
Access control is a crucial part of a system's security, restricting wha...
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Table Space Designs For Implicit and Explicit Concurrent Tabled Evaluation
One of the main advantages of Prolog is its potential for the implicit e...
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Compiler Phase Ordering as an Orthogonal Approach for Reducing Energy Consumption
Compiler writers typically focus primarily on the performance of the gen...
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Dynamic Allocation of Serverless Functionsin IoT Environments
The IoT area has grown significantly in the last few years and is expect...
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Dynamic Allocation of Serverless Functions in IoT Environments
The IoT area has grown significantly in the last few years and is expect...
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Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets
To select the best algorithm for a new problem is an expensive and diffi...
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Towards Reproducible Empirical Research in Meta-Learning
Meta-learning is increasingly used to support the recommendation of mach...
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Affordance Extraction and Inference based on Semantic Role Labeling
Common-sense reasoning is becoming increasingly important for the advanc...
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DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention
In this paper, we describe DeFactoNLP, the system we designed for the FE...
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cf2vec: Collaborative Filtering algorithm selection using graph distributed representations
Algorithm selection using Metalearning aims to find mappings between pro...
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Entity-Relationship Search over the Web
Entity-Relationship (E-R) Search is a complex case of Entity Search wher...
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UOLO - automatic object detection and segmentation in biomedical images
We propose UOLO, a novel framework for the simultaneous detection and se...
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Improving OpenCL Performance by Specializing Compiler Phase Selection and Ordering
Automatic compiler phase selection/ordering has traditionally been focus...
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Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape Analysis
Zero-shot learning (ZSL) can be defined by correctly solving a task wher...
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A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition
Human activity recognition (HAR) is a classification task that aims to c...
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State of the Software Development Life-Cycle for the Internet-of-Things
Software has a longstanding association with a state of crisis consideri...
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A System for Efficient Communication between Patients and Pharmacies
When studying human-technology interaction systems, researchers thrive t...
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Catalog of Energy Patterns for Mobile Applications
Software engineers make use of design patterns for reasons that range fr...
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A Zero-Shot Learning application in Deep Drawing process using Hyper-Process Model
One of the consequences of passing from mass production to mass customiz...
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To the Attention of Mobile Software Developers: Guess What, Test your App!
Software testing is an important phase in the software development life-...
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EMaaS: Energy Measurements as a Service for Mobile Applications
Measuring energy consumption is a challenging task faced by developers w...
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