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1Abstract domains for database manipulating processes
T. Schüler, S. Mennicke, and M. Lochau. (2023)
a month ago by @scadsfct
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Abstract
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database
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AbstractXackdatabasedomainsmanipulatingprocesses
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1A human-machine collaborative framework for evaluating malevolence in dialogues
Y. Zhang, P. Ren, and M. de Rijke. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), page 5612--5623. (2021)
a month ago by @scadsfct
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1Extendable 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)
a month ago by @scadsfct
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conscious
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{CLIS}
Znoconscioushybridlearningmachinepatientstates{CLIS}
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1Learning algorithms for spiking neural networks: should one use learning algorithms from ANN/DL or neurological plausible learning? - A thought-provoking impulse
M. Bogdan. XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja), Servizo de Publicacións da UDC, (September 2022)
a month ago by @scadsfct
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LearningXackalgorithmslearningnetworksneuralneurologicalplausiblespiking
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1Application of soft-clustering to assess consciousness in a CLIS patient
S. Adama, and M. Bogdan. Brain Sci., 13 (1): 65 (December 2022)
a month ago by @scadsfct
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analysis
completely
complexity
connectivity
consciousness
electrocorticogram
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syndrome
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1Sleep analysis in a CLIS patient using soft-clustering: a case study
S. Adama, and M. Bogdan. Louvain-la-Neuve (Belgium), Ciaco - i6doc.com, (2023)
a month ago by @scadsfct
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1Assessing consciousness in patients with disorders of consciousness using soft-clustering
S. Adama, and M. Bogdan. Brain Inform., 10 (1): 16 (July 2023)
a month ago by @scadsfct
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Brain-computer
Complexity
Connectivity
Consciousness
Disorders
Electroencephalogram
Soft-clustering
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analysis
consciousness
interface
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1Evaluating 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)
a month ago by @scadsfct
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Complexity
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Measures
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ComplexityComputationalConsciousnessInformationLearningLocked-InMachineMeasuresModelingNeurosciencePredictionPredictiveProcessingSignalSyndromeTheoryTrainingZnoalgorithmsanddatalearningmodelingmodelsprocessing
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1Is Boredom an Indicator on the way to Singularity of Artificial Intelligence? Hypotheses as Thought-Provoking Impulse
M. Bogdan. Louvain-la-Neuve (Belgium), Ciaco - i6doc.com, (2023)
a month ago by @scadsfct
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Singularity
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1Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProduction
M. Kukushkin, M. Enders, R. Kaschuba, M. Bogdan, and T. Schmid. INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, Gesellschaft für Informatik e.V., Bonn, (2023)
a month ago by @scadsfct
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Agricultural
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Autoencoder
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PUMA

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1Abstract domains for database manipulating processes

1A human-machine collaborative framework for evaluating malevolence in dialogues

1Extendable hybrid approach to detect conscious states in a CLIS patient using machine learning

1Learning algorithms for spiking neural networks: should one use learning algorithms from ANN/DL or neurological plausible learning? - A thought-provoking impulse

1Application of soft-clustering to assess consciousness in a CLIS patient

1Sleep analysis in a CLIS patient using soft-clustering: a case study

1Assessing consciousness in patients with disorders of consciousness using soft-clustering

1Evaluating the DoC-Forest tool for Classifying the State of Consciousness in a Completely Locked-In Syndrome Patient

1Is Boredom an Indicator on the way to Singularity of Artificial Intelligence? Hypotheses as Thought-Provoking Impulse

1Canola seed or not? Autoencoder-based Anomaly Detection in AgriculturalSeedProduction

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