Poznan University of Technology

research

∙ 03/15/2019

Generate What You Can't See - a View-dependent Image Generation

In order to operate autonomously, a robot should explore the environment...

Karol Piaskowski, et al. ∙

research

∙ 09/10/2018

ViZDoom Competitions: Playing Doom from Pixels

This paper presents the first two editions of Visual Doom AI Competition...

Marek Wydmuch, et al. ∙

research

∙ 03/28/2017

Experimental Analysis of Design Elements of Scalarizing Functions-based Multiobjective Evolutionary Algorithms

In this paper we systematically study the importance, i.e., the influenc...

Mansoureh Aghabeig, et al. ∙

research

∙ 12/11/2016

Improved Quick Hypervolume Algorithm

In this paper, we present a significant improvement of Quick Hypervolume...

Andrzej Jaszkiewicz, et al. ∙

research

∙ 11/07/2016

Low-effort place recognition with WiFi fingerprints using deep learning

Using WiFi signals for indoor localization is the main localization moda...

Michał Nowicki, et al. ∙

research

∙ 08/23/2017

Scale-invariant unconstrained online learning

We consider a variant of online convex optimization in which both the in...

Wojciech Kotłowski, et al. ∙

research

∙ 06/05/2014

Systematic N-tuple Networks for Position Evaluation: Exceeding 90 the Othello League

N-tuple networks have been successfully used as position evaluation func...

Wojciech Jaśkowski, et al. ∙

research

∙ 06/04/2016

Distance Metric Ensemble Learning and the Andrews-Curtis Conjecture

Motivated by the search for a counterexample to the Poincaré conjecture ...

Krzysztof Krawiec, et al. ∙

research

∙ 12/19/2015

Test-Driven Development of ontologies (extended version)

Emerging ontology authoring methods to add knowledge to an ontology focu...

C. Maria Keet, et al. ∙

research

∙ 03/14/2016

Online Isotonic Regression

We consider the online version of the isotonic regression problem. Given...

Wojciech Kotłowski, et al. ∙

research

∙ 06/16/2015

PCA with Gaussian perturbations

Most of machine learning deals with vector parameters. Ideally we would ...

Wojciech Kotłowski, et al. ∙

research

∙ 05/19/2013

Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families

We study online learning under logarithmic loss with regular parametric ...

Peter Bartlett, et al. ∙

research

∙ 03/13/2010

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 ...

Joanna Jozefowska, et al. ∙

research

∙ 03/04/2015

A Hierarchical Approach for Joint Multi-view Object Pose Estimation and Categorization

We propose a joint object pose estimation and categorization approach wh...

M. Ozay, et al. ∙

research

∙ 12/22/2017

Novel Ranking-Based Lexical Similarity Measure for Word Embedding

Distributional semantics models derive word space from linguistic items ...

Jakub Dutkiewicz, et al. ∙

research

∙ 04/24/2017

Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data

With a plethora of available classification performance measures, choosi...

Dariusz Brzezinski, et al. ∙

research

∙ 10/14/2017

A Survey on Online Judge Systems and Their Applications

Online judges are systems designed for the reliable evaluation of algori...

Szymon Wasik, et al. ∙

research

∙ 03/02/2018

PRESISTANT: Learning based assistant for data pre-processing

Data pre-processing is one of the most time consuming and relevant steps...

Besim Bilalli, et al. ∙

research

∙ 07/14/2018

Evaluation as a Service architecture and crowdsourced problems solving implemented in Optil.io platform

Reliable and trustworthy evaluation of algorithms is a challenging proce...

Szymon Wasik, et al. ∙

research

∙ 09/07/2018

Multi-Target Prediction: A Unifying View on Problems and Methods

Multi-target prediction (MTP) is concerned with the simultaneous predict...

Willem Waegeman, et al. ∙

research

∙ 10/23/2018

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...

Jakub Bednarek, et al. ∙

research

∙ 11/23/2018

Competency Questions and SPARQL-OWL Queries Dataset and Analysis

Competency Questions (CQs) are natural language questions outlining and ...

Dawid Wisniewski, et al. ∙

research

∙ 12/14/2018

More Effective Ontology Authoring with Test-Driven Development

Ontology authoring is a complex process, where commonly the automated re...

C. Maria Keet, et al. ∙

research

∙ 02/08/2019

Bandit Principal Component Analysis

We consider a partial-feedback variant of the well-studied online PCA pr...

Wojciech Kotłowski, et al. ∙

research

∙ 04/25/2019

PHANTOM: Curating GitHub for engineered software projects using time-series clustering

Context: Within the field of Mining Software Repositories, there are num...

Peter Pickerill, et al. ∙

research

∙ 05/21/2019

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...

Jiapeng Liu, et al. ∙

research

∙ 05/29/2019

Learning to Crawl

Web crawling is the problem of keeping a cache of webpages fresh, i.e., ...

Utkarsh Upadhyay, et al. ∙

research

∙ 06/01/2019

On the computational complexity of the probabilistic label tree algorithms

Label tree-based algorithms are widely used to tackle multi-class and mu...

Robert Busa-Fekete, et al. ∙

research

∙ 06/19/2019

Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification

In cases of uncertainty, a multi-class classifier preferably returns a s...

Thomas Mortier, et al. ∙

research

∙ 07/17/2019

putEMG -- a surface electromyography hand gesture recognition dataset

In this paper, we present a putEMG dataset intended for evaluation of ha...

Piotr Kaczmarek, et al. ∙

research

∙ 07/25/2019

Interactive Lungs Auscultation with Reinforcement Learning Agent

To perform a precise auscultation for the purposes of examination of res...

Tomasz Grzywalski, et al. ∙

research

∙ 08/21/2019

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...

Piotr Żelasko, et al. ∙

research

∙ 11/08/2019

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...

Amith K. Belman, et al. ∙

research

∙ 11/08/2019

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...

Amith K. Belman, et al. ∙

research

∙ 03/02/2020

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...

Michał Bednarek, et al. ∙

research

∙ 03/02/2020

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...

Piotr Kicki, et al. ∙

research

∙ 06/29/2020

Spatiotemporal Calibration of Camera and 3D Laser Scanner

The multi-sensory setups consisting of the laser scanners and cameras ar...

Michal R. Nowicki, et al. ∙

research

∙ 07/29/2020

Fibonacci and k-Subsecting Recursive Feature Elimination

Feature selection is a data mining task with the potential of speeding u...

Dariusz Brzezinski, et al. ∙

research

∙ 04/26/2021

Energy Savings by Task Offloading to a Fog Considering Radio Front-End Characteristics

Fog computing can be used to offload computationally intensive tasks fro...

Paweł Kryszkiewicz, et al. ∙

research

∙ 05/05/2021

Similarity Measures for Location-Dependent MMIMO, 5G Base Stations On/Off Switching Using Radio Environment Map

The Massive Multiple-Input Multiple-Output (MMIMO) technique together wi...

Marcin Hoffmann, et al. ∙

research

∙ 07/18/2021

ANFIC: Image Compression Using Augmented Normalizing Flows

This paper introduces an end-to-end learned image compression system, te...

Yung-Han Ho, et al. ∙

research

∙ 07/27/2021

Dynamic Power and Frequency Allocation Scheme for Autonomous Platooning

In this paper, we consider the use of radio environment maps (REMs) in v...

Paweł Sroka, et al. ∙

research

∙ 08/03/2021

On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM

We propose an extension to the segment-based global localization method ...

Jan Wietrzykowski, et al. ∙

research

∙ 08/18/2021

Navigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification

Legged robot navigation in extreme environments can hinder the use of ca...

Russell Buchanan, et al. ∙

research

∙ 10/06/2021

The Impact of Blocking Cars on Pathloss Within a Platoon: Measurements for 26 GHz Band

Platooning is considered to be one of the possible prospective implement...

Paweł Kryszkiewicz, et al. ∙

research

∙ 10/10/2021

Brilliant Challenges Optimization Problem Submission Contest Final Report

This paper concludes the Brilliant Challenges contest. Participants had ...

Jan Badura, et al. ∙

research

∙ 10/20/2021

Propensity-scored Probabilistic Label Trees

Extreme multi-label classification (XMLC) refers to the task of tagging ...

Marek Wydmuch, et al. ∙

research

∙ 11/29/2021

User Allocation in Heterogeneous Network Supplied by Renewable Energy Sources

The information and communication technology, ICT, a domain of the globa...

Adam Samorzewski, et al. ∙

research

∙ 11/29/2021

Reinforcement Learning Algorithm for Traffic Steering in Heterogeneous Network

Heterogeneous radio access networks require efficient traffic steering m...

Cezary Adamczyk, et al. ∙

research

∙ 12/13/2021

MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions, spherical coordinates, and intensity

The 3D LiDAR place recognition aims to estimate a coarse localization in...

Kamil Żywanowski, et al. ∙

Poznan University of Technology

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