Algorithmic comparison for the multi-agent path finding problem with waypoints

Multi-agent pathfinding with waypoints using Branch-Price-and-Cut

By Andor Michels

Poster

Paper

Extending the Multi-Label A* Algorithm for Multi-Agent Pathfinding with Multiple Waypoints

By Arjen Ferwerda

Poster

Paper

Solving the Multi-Agent Path Finding with Waypoints Problem Using Subdimensional Expansion

By Jeroen van Dijk

Poster

Paper

Extending CBS to efficiently solve MAPFW

By Noah Jadoenathmisier

Poster

Paper

Extending A* to solve multi-agent pathfinding problems with waypoints

By Stef Siekman

Poster

Paper

Analysis of the influence of graph characteristics on MAPFW algorithm performance

By Timon Bestebreur

Poster

Paper

Can deep learning recognize lego pieces?

Data Generation Methods for Multi-Label Images of LEGO Bricks

By Berend Kam

Poster

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Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task

By David Cian

Poster

Paper

Faster R-CNN as an Application for Object Detection of Scattered LEGO Pieces.

By Hiba Abderrazik

Poster

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The Current State of the Art in Multi-Label Image Classification Applied on LEGO Bricks

By Nishad Tahur

Poster

Paper

METHODS FOR IMPROVING CROWDSOURCING OF IMAGES WITH LEGO BLOCKS

By Rembrandt Oltmans

Poster

Paper

Conversational search

How Multitasking Influences the Usage of a Voice Assistant

By Kirti Biharie

Poster

Paper

The influence of domain expertise on a user's conversational search

By Rohan Ray Sobha

Poster

Paper

Learning and decision making for traffic control

Poster describing the research question, method and results for research by Cian Jansen into the effect of different reward functions when optimizing traffic light control with Reinforcement Learning

By Cian Jansen

Poster

Paper

Q-value reuse between state abstractions for traffic light control

By Emanuel Kuhn

Poster

Paper

Using Game Theory to Analyse Local and Global Performance of Traffic Signal Control Strategies

By Pepijn Tersmette

Poster

Paper

Comparing Exploration Approaches in Deep Reinforcement Learning for Traffic Light Control

By Yaniv Oren

Poster

Paper

Machine learning-based side-channel analysis

Little or Large? The effects of network size on AI explainability in Side-Channel Attacks

By Djoshua Moonen

Poster

Paper

Hyperparameter Optimization in Deep Learning-based Side-Channel Analysis: Three Directions

By Doreen Mulder

Poster

Paper

Improving machine learning based side-channel analysis: can dropout be dropped out?

By Jim Kok

Poster

Paper

Natural language modelling: for tv show analysis and gender bias detection

Extracting location context from transcripts: a comparison of ELMo and TF-IDF

By David Happel

Poster

Paper

Using Skip-Gram Model to Predict from which Show a Given Line is

By Dina Chen

Poster

Paper

Is Wikipedia succeeding in reducing gender bias? Assessing the development of gender bias in word embeddings from Wikipedia

By Katja Schmahl

Poster

Paper

Correspondence between perplexity and human evaluation of generated TV-Show scripts.

By Pia Keukeleire

Poster

Paper

Gender bias in different languages

By Thijs Raymakers

Poster

Paper

Who said that? Comparing performance of TF-IDF and fastText to identify authorship of short sentences

By Thomas van Tussenbroek

Poster

Paper

New generation iterative prisoner's dilemma

Variability of Cooperation in the Spatial Prisoner�s Dilemma

By Beryl van Gelderen

Poster

Paper

Knowing one's opponents: Self Modeling Advantage Actor Critic for the Iterated Prisoner's Dilemma

By Eric van der Toorn

Poster

Paper

Simulated Cooperation: Explaining Human Belongingness

By Gijs de Jong

Poster

Paper

Effects of Noise on Cooperation in Harsh Environments

By Louis Gevers

Poster

Paper

Effect of Behavioural Strategies on Individual Quality of Life in Agent-Based Social Simulations of COVID-19

By Sterre Lutz

Poster

Paper

Optimizing multiple deep learning models on edge devices

Modeling Inference Time of Deep Neural Networks on Memory-constrained Systems

By Hans Brouwer

Poster

Paper

Scheduling Multi-inference with Constrained Memory

By Jeroen Galjaard

Poster

Paper

Offline Compression of Convolutional Neural Networks on Edge Devices

By Simon Tulling

Poster

Paper

Analysis of the effect of caching convolutional network layers on resource constraint devices

By Wouter van Lil

Poster

Paper

Analysis of Loading Policies for Multi-model Inference on the Edge

By Yohan Runhaar

Poster

Paper

Ripple: improving a major decentralized money transfer network

Independent verification of validator performance in the XRP ledger

By Francis Behnen

Poster

Paper

Log inference on the Ripple Protocol: testing the system with an empirical approach

By Marijn Roelvink

Poster

Paper

Improving rippled: Leveraging passive model inference techniques to test large decentralized systems

By Sengim Karayalcin

Poster

Paper

TLS MITM attack on the Ripple XRP Ledger

By Wolfgang Bubberman

Poster

Paper

Testplus: ai-based test generation for restful apis

Improving Test Case Generation for RESTful APIs through Seeded Sampling

By Chiel de Vries

Poster

Paper

Preserving Inter-gene Relations during Test Case Generation using Intelligent Evolutionary Operators

By Dimitri Stallenberg

Poster

Paper

Multi-Objective Hill Climbing for Automated RESTful API Test Case Generation

By Jeroen Kappé

Poster

Paper

Automated system test generation - using log output to create better tests

By Michael Kemna

Poster

Paper

Created by Jordi Smit