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05/15/2023
Fast Inference of Tree Ensembles on ARM Devices
With the ongoing integration of Machine Learning models into everyday li...
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04/17/2023
Energy Efficiency Considerations for Popular AI Benchmarks
Advances in artificial intelligence need to become more resource-aware a...
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08/22/2022
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles
Given the increase of publications, search for relevant papers becomes t...
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12/07/2021
Shrub Ensembles for Online Classification
Online learning algorithms have become a ubiquitous tool in the machine ...
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11/08/2021
There is no Double-Descent in Random Forests
Random Forests (RFs) are among the state-of-the-art in machine learning ...
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10/19/2021
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement
Random Forests (RF) are among the state-of-the-art in many machine learn...
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09/13/2021
Explaining Deep Learning Representations by Tracing the Training Process
We propose a novel explanation method that explains the decisions of a d...
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08/30/2021
Noisy Labels for Weakly Supervised Gamma Hadron Classification
Gamma hadron classification, a central machine learning task in gamma ra...
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06/01/2021
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
Machine learning applications have become ubiquitous. This has led to an...
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05/25/2021
Providing Meaningful Data Summarizations Using Exemplar-based Clustering in Industry 4.0
Data summarizations are a valuable tool to derive knowledge from large d...
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05/21/2021
Yes We Care! – Certification for Machine Learning Methods through the Care Label Framework
Machine learning applications have become ubiquitous. Their applications...
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02/02/2021
Bit Error Tolerance Metrics for Binarized Neural Networks
To reduce the resource demand of neural network (NN) inference systems, ...
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01/21/2021
GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering
The optimization of submodular functions constitutes a viable way to per...
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11/05/2020
Generalized Negative Correlation Learning for Deep Ensembling
Ensemble algorithms offer state of the art performance in many machine l...
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10/29/2020
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots
The last decade has witnessed a rapid growth of the field of exoplanet d...
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10/27/2020
Semantic Search in Millions of Equations
Given the increase of publications, search for relevant papers becomes t...
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10/27/2020
FACT-Tools - Processing High-Volume Telescope Data
Several large experiments such as MAGIC, FACT, VERITAS, HESS or the upco...
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10/27/2020
Gaussian Model Trees for Traffic Imputation
Traffic congestion is one of the most pressing issues for smart cities. ...
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10/27/2020
Smart Control of Monte Carlo Simulations for Astroparticle Physics
Imaging Air Cherenkov Telescopes, such as VERITAS and MAGIC, rely on mod...
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10/27/2020
The Search for Equations - Learning to Identify Similarities between Mathematical Expressions
On your search for scientific articles relevant to your research questio...
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10/27/2020
Towards Active Simulation Data Mining
Simulations have recently been considered as data generators for machine...
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10/27/2020
What Can We Expect from Active Class Selection?
The promise of active class selection is that the proportions of classes...
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10/27/2020
Anomaly detection in injection molding process data based on unsupervised learning
Plastic processing companies in high-wage countries are facing continuou...
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10/27/2020
Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data
With increasing capabilities of energy efficient systems, computational ...
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10/27/2020
Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems
This paper explores the probability of deadline misses for a set of cons...
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10/27/2020
Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation
Recent stochastic quadrature techniques for undirected graphical models...
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10/27/2020
Realization of Random Forest for Real-Time Evaluation through Tree Framing
The optimization of learning has always been of particular concern for b...
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10/27/2020
Stability prediction in milling processes using a simulation-based machine learning approach
Process simulations are increasingly applied to analyze machining proces...
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10/27/2020
Unification of Deconvolution Algorithms for Cherenkov Astronomy
Obtaining the distribution of a physical quantity is a frequent objectiv...
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10/27/2020
Big Data Science
In ever more disciplines, science is driven by data, which leads to data...
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10/27/2020
C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization
Given labeled data represented by a binary matrix, we consider the task ...
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10/27/2020
Distributed Real-Time Data Stream Analysis for CTA
Once completed, the Cherenkov Telescope Array (CTA) will be able to map ...
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10/27/2020
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization
Recently, neural embeddings of documents have shown success in various l...
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10/27/2020
Summary Extraction on Data Streams in Embedded Systems
More and more data is created by humans and cyber-physicalsystems havin...
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10/27/2020
Integer undirected graphical models for resource-constrained systems
Machine learning on resource-constrained ubiquitous devices suffers from...
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10/26/2020
Interpretable Domain Adaptation via Optimization over the Stiefel Manifold
In domain adaptation, the goal is to find common ground between two, po...
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10/26/2020
Mining for Spectra - The Dortmund Spectrum Estimation Algorithm
Obtaining the energy spectra of incident particles such as neutrinos or ...
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10/26/2020
Stochastic Discrete Clenshaw-Curtis Quadrature
The partition function is fundamental for probabilistic graphical models...
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10/26/2020
FACT -- Influence of SiPM Crosstalk on the Performance of an Operating Cherenkov Telescope
The First G-APD Cherenkov Telescope (FACT) is the first operational tele...
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10/26/2020
Communication-efficient learning of traffic flow in a network of wireless presence sensors
Current traffic management systems learn global traffic flow models base...
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10/26/2020
Discovering Neutrinos through Data Analytics
Astrophysical experiments produce Big Data which need efficient and effe...
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10/26/2020
Online Analysis of High-Volume Data Streams in Astroparticle Physics
Experiments in high-energy astroparticle physics produce large amounts o...
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10/26/2020
Sensitivity to cdk1-inhibition is modulated by p53 status in preclinical models of embryonal tumors
Dysregulation of the cell cycle and cyclin-dependent kinases (cdks) is a...
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10/26/2020
Development of a General Analysis and Unfolding Scheme and its Application to Measure the Energy Spectrum of Atmospheric Neutrinos with IceCube
We present the development and application of a generic analysis scheme ...
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10/26/2020
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management
We give an overview of an intelligent urban traffic management system. C...
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10/26/2020
Reliable BOF endpoint prediction by novel data-driven modeling
In a cooperative effort between SMS Siemag AG (SMS), AG der Dillinger Hü...
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10/26/2020
Route Planning with Real-Time Traffic Predictions
Situation aware route planning gathers increasing interest as cities bec...
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10/26/2020
The Integer Approximation of Undirected Graphical Models
Machine learning on resource-constrained ubiquitous devices suffers from...
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10/26/2020
Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines
Observations of physical processes suffer from instrument malfunction an...
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10/26/2020