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Generate What You Can't See - a View-dependent Image Generation
In order to operate autonomously, a robot should explore the environment...
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ViZDoom Competitions: Playing Doom from Pixels
This paper presents the first two editions of Visual Doom AI Competition...
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Experimental Analysis of Design Elements of Scalarizing Functions-based Multiobjective Evolutionary Algorithms
In this paper we systematically study the importance, i.e., the influenc...
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Improved Quick Hypervolume Algorithm
In this paper, we present a significant improvement of Quick Hypervolume...
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Low-effort place recognition with WiFi fingerprints using deep learning
Using WiFi signals for indoor localization is the main localization moda...
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Scale-invariant unconstrained online learning
We consider a variant of online convex optimization in which both the in...
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Systematic N-tuple Networks for Position Evaluation: Exceeding 90 the Othello League
N-tuple networks have been successfully used as position evaluation func...
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Distance Metric Ensemble Learning and the Andrews-Curtis Conjecture
Motivated by the search for a counterexample to the Poincaré conjecture ...
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Test-Driven Development of ontologies (extended version)
Emerging ontology authoring methods to add knowledge to an ontology focu...
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Online Isotonic Regression
We consider the online version of the isotonic regression problem. Given...
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PCA with Gaussian perturbations
Most of machine learning deals with vector parameters. Ideally we would ...
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Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families
We study online learning under logarithmic loss with regular parametric ...
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The role of semantics in mining frequent patterns from knowledge bases in description logics with rules
We propose a new method for mining frequent patterns in a language that ...
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A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization
We propose a joint object pose estimation and categorization approach wh...
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Novel Ranking-Based Lexical Similarity Measure for Word Embedding
Distributional semantics models derive word space from linguistic items ...
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Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data
With a plethora of available classification performance measures, choosi...
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A Survey on Online Judge Systems and Their Applications
Online judges are systems designed for the reliable evaluation of algori...
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PRESISTANT: Learning based assistant for data pre-processing
Data pre-processing is one of the most time consuming and relevant steps...
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Evaluation as a Service architecture and crowdsourced problems solving implemented in Optil.io platform
Reliable and trustworthy evaluation of algorithms is a challenging proce...
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Multi-Target Prediction: A Unifying View on Problems and Methods
Multi-target prediction (MTP) is concerned with the simultaneous predict...
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Ain't Nobody Got Time For Coding: Structure-Aware Program Synthesis From Natural Language
Program synthesis from natural language (NL) is practical for humans and...
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Competency Questions and SPARQL-OWL Queries Dataset and Analysis
Competency Questions (CQs) are natural language questions outlining and ...
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More Effective Ontology Authoring with Test-Driven Development
Ontology authoring is a complex process, where commonly the automated re...
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Bandit Principal Component Analysis
We consider a partial-feedback variant of the well-studied online PCA pr...
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PHANTOM: Curating GitHub for engineered software projects using time-series clustering
Context: Within the field of Mining Software Repositories, there are num...
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Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria
The learning of predictive models for data-driven decision support has b...
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Learning to Crawl
Web crawling is the problem of keeping a cache of webpages fresh, i.e., ...
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On the computational complexity of the probabilistic label tree algorithms
Label tree-based algorithms are widely used to tackle multi-class and mu...
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Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification
In cases of uncertainty, a multi-class classifier preferably returns a s...
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putEMG -- a surface electromyography hand gesture recognition dataset
In this paper, we present a putEMG dataset intended for evaluation of ha...
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Interactive Lungs Auscultation with Reinforcement Learning Agent
To perform a precise auscultation for the purposes of examination of res...
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Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition
In this paper, we present a method for correcting automatic speech recog...
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BB-MAS: A Very Large Dataset for Typing, Gait and Swipe of the Same Person on Desktop, Tablet and Phone
Behavioral biometrics are key components in the landscape of research in...
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Insights from BB-MAS – A Large Dataset for Typing, Gait and Swipes of the Same Person on Desktop, Tablet and Phone
Behavioral biometrics are key components in the landscape of research in...
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Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks
Soft grippers are gaining significant attention in the manipulation of e...
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A Self-Supervised Learning Approach to Rapid Path Planning for Car-Like Vehicles Maneuvering in Urban Environment
An efficient path planner for autonomous car-like vehicles should handle...
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Spatiotemporal Calibration of Camera and 3D Laser Scanner
The multi-sensory setups consisting of the laser scanners and cameras ar...
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Fibonacci and k-Subsecting Recursive Feature Elimination
Feature selection is a data mining task with the potential of speeding u...
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