Exploring graph theory methods for the analysis of pronunciation variation in spontaneous speech
INTERSPEECH ISCA Dublin
Bringing Chemistry to Scale: Loss Weight Adjustment for Multivariate Regression in Deep Learning of Thermochemical Processes
Confidentiality-preserving data exchange to enable sustainable product management via digital product passports - a conceptualization
Los retos de la lectura distante para periódicos de la Ilustración
XXIII. Deutscher Hispanistentag Hummel, Martin ; Gerhalter, Katharina ; Fernández, Hans University of Graz Graz
Reconsidering Read and Spontaneous Speech: Causal Perspectives on the Generation of Training Data for Automatic Speech Recognition
Information Tudor Groza MDPI online
Solving multi-objective inverse problems of chained manufacturing processes
CIRP Journal of Manufacturing Science and Technology Elsevier .
How PINNs cheat: Predicting chaotic motion of a double pendulum
The Symbiosis of Deep Learning and Differential Equations (DLDE) @ NeurIPS . virtual
Camp Location Selection in Humanitarian Logistics: A Multiobjective Simulation Optimization Approach
ICCS ACM London
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering
Int. Joint Conf. on Neural Networks IEEE Padua
Machine Learning and Meteorological Normalization for Assessment of Particulate Matter Changes during the COVID-19 Lockdown in Zagreb, Croatia
Int. J. Environ. Res. Public Health MDPI
Semi-supervised clustering via information-theoretic Markov chain aggregation
ACM/SIGAPP Symposium on Applied Computing (SAC) ACM ACM Brno (virtual)
Generating Simple Directed Social Network Graphs for Information Spreading
Proceedings of the ACM Web Conference 2022 Association for Computing Machinery ACM Online
Theory-Inspired Machine Learning - Towards a Synergy between Knowledge and Data
Welding in the World Springer Springer -
Knock Detection in Combustion Engine Time Series Using a Theory-Guided 1D Convolutional Neural Network Approach
IEEE/ASME Transactions on Mechatronics IEEE
Gaussian Process Surrogates for Modeling Uncertainties in a Use Case of Forging Superalloy
MDPI Applied Science MDP MDPI Switzerland
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation
IEEE Trans. Neural Netw. Learn. Syst. IEEE .
On Minimum Spanning Trees and the Inference of Message Cascades
International Conference on Complex Networks & Their Applications International Conference on Complex Networks & Their Applications Madrid (virtual)
Mesh-free surrogate models for structural mechanic FEMsimulation: A comparative study of approache
MDPI Applied Sciences MDPI MDPI Switzerland
SeGMA: Semi-Supervised Gaussian Mixture Autoencoder
IEEE Trans. Neural Netw. Learn. Syst. IEEE nicht angegeben
On Information Plane Analyses of Neural Network Classifiers -- A Review
IEEE Trans. Neural Netw. Learn. Syst. IEEE .
A route pruning algorithm for an automated geographic location graph construction
Scientific Reports Nature nicht angegeben
Detection of Knocking Combustion Using the Continuous Wavelet Transformation and a Convolutional Neural Network
Energies MDPI MDPI Basel
"To be or not to be central" - On the Stability of Network Centrality Measures in Shakespeare's "Hamlet"
DH ADHO online
Behind the Scenes of the Spectators: Uncovering Anonymous Authors in Periodicals of the Enlightenment
DH ADHO online
A generative semi-supervised classifier for datasets with unknown classes
Proc. 35th Annual ACM Sym. on Applied Computing (SAC) ACM virtual
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE IEEE nicht angegeben
Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources
International Conference on Computational Science - ICCS 2020 Springer nicht angegeben
A Generalized Framework For Kullback–Leibler Markov Aggregation
IEEE Transactions on Automatic Control IEEE IEEE
Text Sentiment in the Age of Enlightenment: An Analysis of Spectator Periodicals
Applied Network Science Springer
A hybrid model for the prediction of magnetostriction in grain-oriented electrical steel coils
zenodo
Feature Extraction From Analog Wafermaps: A Comparison of Classical Image Processing and a Deep Generative Model
IEEE Transactions on Semiconductor Manufacturing IEEE IEEE
Distant Spectators: Mining TEI-encoded periodicals of the Enlightenment
TEI Conf. and Member's Meeting Graz
Big Data and Data Driven Modeling - A New Dawn for Engine Operation and Development
17th Symp. The Working Process of the Internal Combustion Engine Graz
On the Information Dimension of Stochastic Processes
IEEE Transactions on Information Theory IEEE IEEE nicht angegeben
On the Information Dimension of Random Variables and Stochastic Processes
Workshop on Casualty and Dynamics in Brain Networks @ Int. Joint Conf. on Neural Networks IEEE IEEE Budapest
An Information-Theoretic Measure for Pattern Similarity in Analog Wafermap
European Advanced Process Control and Manufacturing Conf. (apc|m Villach
Co-Clustering via Information-Theoretic Markov Aggregation
IEEE Transactions on Knowledge and Data Engineering IEEE nicht angegeben
The Global Benefits of Open Research and How It Can Change Scientific Publishing
Martyn Rittman MDPI