tag :: machine learning

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publications (hide)18
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1MLcps: machine learning cumulative performance score for classification problems
A. Akshay, M. Abedi, N. Shekarchizadeh, F. Burkhard, M. Katoch, A. Bigger-Allen, R. Adam, K. Monastyrskaya, and A. Gheinani. GigaScience, (December 2023)
22 days ago by @scadsfct
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MLcps
cumulative
learning
machine
performance
MLcpscumulativelearningmachineperformance
(0)
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1Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective
R. Knauer, and E. Rodner. KI 2023: Advances in Artificial Intelligence: 46th German Conference on AI, Berlin, Germany, September 26--29, 2023, Proceedings, page 114--129. Berlin, Heidelberg, Springer-Verlag, (2023)
23 days ago by @scadsfct
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best
conic
cost-sensitive
interpretable
learning
machine
meta-learning
mixed-integer
optimization
selection
subset
bestconiccost-sensitiveinterpretablelearningmachinemeta-learningmixed-integeroptimizationselectionsubset
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2Extendable hybrid approach to detect conscious states in a CLIS patient using machine learning
S. Adama, S. Wu, N. Nicolaou, and M. Bogdan. SNE Simul. Notes Eur., 32 (1): 37--45 (2022)
23 days ago by @scadsfct
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conscious
hybrid
learning
machine
patient
states
{CLIS}
conscioushybridlearningmachinepatientstates{CLIS}
(0)
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2Extendable hybrid approach to detect conscious states in a CLIS patient using machine learning
S. Adama, S. Wu, N. Nicolaou, and M. Bogdan. SNE Simul. Notes Eur., 32 (1): 37--45 (2022)
23 days ago by @scads.ai
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hybrid
machine
patient
learning
{CLIS}
from:scadsfct
states
conscious
hybridmachinepatientlearning{CLIS}from:scadsfctstatesconscious
(0)
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2Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient
O. Kirsten, M. Bogdan, and S. Adama. 2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC), page 37-41. (2023)
23 days ago by @scadsfct
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Complexity
Computational
Consciousness
Information
Learning
Locked-In
Machine
Measures
Modeling
Neuroscience
Prediction
Predictive
Processing
Signal
Syndrome
Theory
Training
algorithms
and
data
learning
modeling
models
processing
ComplexityComputationalConsciousnessInformationLearningLocked-InMachineMeasuresModelingNeurosciencePredictionPredictiveProcessingSignalSyndromeTheoryTrainingalgorithmsanddatalearningmodelingmodelsprocessing
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2Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient
O. Kirsten, M. Bogdan, and S. Adama. 2023 7th International Conference on Imaging, Signal Processing and Communications (ICISPC), page 37-41. (2023)
23 days ago by @scads.ai
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models
Consciousness
Prediction
from:scadsfct
Syndrome
Predictive
processing
modeling
Theory
algorithms
data
learning
Information
Complexity
Modeling
Processing
Machine
Learning
Neuroscience
Training
Measures
Locked-In
and
Computational
Signal
modelsConsciousnessPredictionfrom:scadsfctSyndromePredictiveprocessingmodelingTheoryalgorithmsdatalearningInformationComplexityModelingProcessingMachineLearningNeuroscienceTrainingMeasuresLocked-InandComputationalSignal
(0)
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1Machine Learning Based Mobile Capacity Estimation for Roadside Parking
A. Kramm, E. Peukert, A. Ludwig, and B. Franczyk. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (2024)
2 months ago by @scadsfct
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Based
Capacity
Estimation
Learning
Machine
Mobile
Parking
Roadside
BasedCapacityEstimationLearningMachineMobileParkingRoadside
(0)
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2Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning
M. Novitasari, J. Quaas, and M. Rodrigues. Environmental Data Science, (2024)
2 months ago by @scadsfct
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autoconversion
forecasting
learning
machine
rates
satellite
autoconversionforecastinglearningmachineratessatellite
(0)
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2A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement
T. Vargis, and S. Ghiasvand. The International Conference for High Performance Computing, Networking, Storage, and Analysis, Dallas, Texas, USA, (January 2022)arXiv:2402.05114 cs.
2 months ago by @scads.ai
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Parallel,
myOwn
from:ghiasvan
Learning
and
Computer
Cluster
Distributed,
Computing,
Machine
Science
Parallel,myOwnfrom:ghiasvanLearningandComputerClusterDistributed,Computing,MachineScience
(0)
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2A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement
T. Vargis, and S. Ghiasvand. The International Conference for High Performance Computing, Networking, Storage, and Analysis, Dallas, Texas, USA, (January 2022)arXiv:2402.05114 cs.
2 months ago by @ghiasvan
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Cluster
Computer
Computing,
Distributed,
Learning
Machine
Parallel,
Science
and
myOwn
ClusterComputerComputing,Distributed,LearningMachineParallel,ScienceandmyOwn
(0)
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1Explainable Earth Surface Forecasting under Extreme Events
O. Pellicer-Valero, M. Fernández-Torres, C. Ji, M. Mahecha, and G. Camps-Valls. (2024)
2 months ago by @joum576e
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(cs.LG),
Computer
FOS:
Learning
Machine
and
information
sciences
sciences,
topic_earthenvironment
(cs.LG),ComputerFOS:LearningMachineandinformationsciencessciences,topic_earthenvironment
(0)
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1Stability selection enables robust learning of differential equations from limited noisy data
S. Maddu, {. Cheeseman, {. Sbalzarini, and {. Müller. Proceedings of the Royal Society of London : Series A, Mathematical, physical and engineering sciences, (June 2022)Publisher Copyright: © 2022 Royal Society Publishing. All rights reserved..
2 months ago by @scadsfct
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topic_lifescience
FIS_scads
PAR
differential
equations,
learning
learning,
machine
proteins,
regression,
selection,
sparse
stability
statistical
theory
topic_lifescienceFIS_scadsPARdifferentialequations,learninglearning,machineproteins,regression,selection,sparsestabilitystatisticaltheory
(0)
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1RTASS: a RunTime Adaptable and Scalable System for Network-on-Chip-Based Architectures
N. Charaf, J. Haase, A. Kulisch, {. Elm, and D. Göhringer. 2023 26th Euromicro Conference on Digital System Design (DSD), page 585--592. IEEE, (Sep 8, 2023)Publisher Copyright: © 2023 IEEE.; 26th Euromicro Conference on Digital System Design, DSD 2023 ; Conference date: 06-09-2023 Through 08-09-2023.
2 months ago by @scadsfct
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topic_federatedlearn
Computer
Embedded
FIS_scads
Machine
Runtime,
Scalability,
Shape
algorithms,
architecture,
computing,
learning
vision,
topic_federatedlearnComputerEmbeddedFIS_scadsMachineRuntime,Scalability,Shapealgorithms,architecture,computing,learningvision,
(0)
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2Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning
L. Lange, M. Heykeroth, and E. Rahm. arXiv preprint arXiv:2409.01329, (September 2024)
2 months ago by @scadsfct
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area_responsibleai
area_bigdata
(cs.CR),
(cs.CV),
(cs.LG),
Computer
Cryptography
FOS:
Learning
Machine
Pattern
Recognition
Security
Vision
and
ep
information
sciences
area_responsibleaiarea_bigdata(cs.CR),(cs.CV),(cs.LG),ComputerCryptographyFOS:LearningMachinePatternRecognitionSecurityVisionandepinformationsciences
(0)
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1Stability selection enables robust learning of partial differential equations from limited noisy data
S. Maddu, B. Cheeseman, I. Sbalzarini, and C. Müller. (2019)
4 months ago by @scadsfct
show all tags
(cs.LG),
(math.NA),
(physics.data-an),
Analysis
Analysis,
Computer
Data
FOS:
Learning
Machine
Mathematics,
Numerical
Physical
Probability
Statistics
and
information
sciences
sciences,
(cs.LG),(math.NA),(physics.data-an),AnalysisAnalysis,ComputerDataFOS:LearningMachineMathematics,NumericalPhysicalProbabilityStatisticsandinformationsciencessciences,
(0)
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1Common features in lncRNA annotation and classification: A survey
C. Klapproth, R. Sen, P. Stadler, S. Findeiß, and J. Fallmann. Noncoding RNA, 7 (4): 77 (December 2021)
5 months ago by @scadsfct
show all tags
classification
coding
extraction;
feature
learning
lncRNA;
machine
problems;
sequence;
classificationcodingextraction;featurelearninglncRNA;machineproblems;sequence;
(0)
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publications (hide)18
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1MLcps: machine learning cumulative performance score for classification problems

1Cost-Sensitive Best Subset Selection for Logistic Regression: A Mixed-Integer Conic Optimization Perspective

2Extendable hybrid approach to detect conscious states in a CLIS patient using machine learning

2Extendable hybrid approach to detect conscious states in a CLIS patient using machine learning

2Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient

2Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient

1Machine Learning Based Mobile Capacity Estimation for Roadside Parking

2Cloudy with a chance of precision: satellite’s autoconversion rates forecasting powered by machine learning

2A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement

2A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement

1Explainable Earth Surface Forecasting under Extreme Events

1Stability selection enables robust learning of differential equations from limited noisy data

1RTASS: a RunTime Adaptable and Scalable System for Network-on-Chip-Based Architectures

2Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning

1Stability selection enables robust learning of partial differential equations from limited noisy data

1Common features in lncRNA annotation and classification: A survey

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