Search
Search Results
-
Parameterized Approaches to Orthogonal Compaction
Orthogonal graph drawings are used in applications such as UML diagrams, VLSI layout, cable plans, and metro maps. We focus on drawing planar graphs...
-
ARIMA for Short-Term and LSTM for Long-Term in Daily Bitcoin Price Prediction
The goal of this paper is the insight into the forecasting of Bitcoin price using machine learning models like AutoRegressive Integrated Moving...
-
Overload Monitoring System Using Sound Analysis for Electrical Machines
Overloading is one of the faults that occur very often in the operation of electrical machines. Therefore, a continuous monitoring and diagnosis for...
-
Multiscale Multifractal Detrended Analysis of Speculative Attacks Dynamics in Cryptocurrencies
Cryptocurrencies have drawn the interest of both scholars and professionals due to their decentralised, unique payment system supported by blockchain...
-
Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques
The Denial of Service attacks are one of the most common attacks used to disrupt the services of public institutions. The criminal act of exhausting...
-
Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Random Decision Forests
In the pharmaceutical industry, dissolution testing is part of the target product quality that is essential in the approval of new products. The...
-
Convergence of RBF Networks Regression Function Estimates and Classifiers
In the paper convergence of the RBF network regression estimates and classifiers with so-called regular radial kernels is investigated. The...
-
Optimization of Parameterized Behavior Trees in RTS Games
Introduction of Behavior Trees (BTs) impacted the field of Artificial Intelligence (AI) in games, by providing flexible and natural representation of...
-
Explaining Machine Learning Predictions in Botnet Detection
As the war against cybercrime continues, security experts and attackers improve their skills and tools to accomplish their desired goal. Botnets have...
-
The Impact of Data Preprocessing on Prediction Effectiveness
This study considers a very important issue, which is the impact of preprocessing on model performance. On the example of data describing taxicab...
-
Portfolio Transformer for Attention-Based Asset Allocation
Traditional approaches to financial asset allocation start with returns forecasting followed by an optimization stage that decides the optimal asset...
-
Hardness of Bounding Influence via Graph Modification
We consider the problem of minimally modifying graphs and digraphs by way of exclusively deleting vertices, exclusively deleting edges, or...
-
Introduction to Routing Problems with Mandatory Transitions
A sequence P of vertices \(v_{1}, \ldots , v_{k}\)...
-
On the Parameterized Complexity of s-club Cluster Deletion Problems
We study the parameterized complexity of the \(s\)...
-
Learning Through Imitation by Using Formal Verification
Reinforcement-Learning-based solutions have achieved many successes in numerous complex tasks. However, their training process may be unstable, and...
-
Morphing Planar Graph Drawings Through 3D
In this paper, we investigate crossing-free 3D morphs between planar straight-line drawings. We show that, for any two (not necessarily topologically...
-
Visualizing Multispecies Coalescent Trees: Drawing Gene Trees Inside Species Trees
We consider the problem of drawing multiple gene trees inside a single species tree in order to visualize multispecies coalescent trees....
-
More Effort Towards Multiagent Knapsack
In this paper, we study two multiagent variants of the knapsack problem. Fluschnik et al. [AAAI 2019] studied the model in which each agent expresses...
-
The Complexity of Finding Tangles
We study the following combinatorial problem. Given a set of n y-monotone curves, which we call , a...
-
A Spectral Algorithm for Finding Maximum Cliques in Dense Random Intersection Graphs
In a random intersection graph \(G_{n,m,p}\) ,...