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Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics

• Authors : Marmolejo-Ramos, Fernando; Tejo, Mauricio; Brabec, Marek

Subjects: causal regularization; causality; educational data mining

• Source: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13 (1)

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Discovering Black Lives Matter Events in the United States: Shared Task 3, CASE 2021

• Authors : Giorgi, Salvatore; Zavarella, Vanni; Tanev, Hristo ...

• Source: Proceedings of the 4th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021)

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Utilizing the Switching Stochasticity of HfO2/TiOx-Based ReRAM Devices and the Concept of Multiple Device Synapses for the Classification of Overlapping and Noisy Patterns

• Authors : Bengel, Christopher; Cüppers, Felix; Payvand, Melika

Subjects: memristor; ReRAM; synapse

• Source: Frontiers in Neuroscience, 15

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Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges

• Authors : Shrestha, Yash R.; Krishna, Vaibhav; von Krogh, Georg

Subjects: Case studies; Decision-making; Deep learning

• Source: Journal of Business Research, 123

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A Deep Variational Approach to Clustering Survival Data

• Authors : Manduchi, Laura; Marcinkevičs, Ričards; id_orcid:0 000-0001-8901-5062

Subjects: Survival analysis; Machine learning; Cluster analysis

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A Deep Variational Approach to Clustering Survival Data

• Authors : Manduchi, Laura; Marcinkevičs, Ričards; id_orcid:0 000-0001-8901-5062

Subjects: machine learning; survival analysis; clustering

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Managing the 'Monitoring Imperative' in the Context of SDG Target 6.3 on Water Quality and Wastewater

• Authors : Hering, Janet G.

Subjects: FAIR principles; GEMI; GEMStat

• Source: Sustainability, 9 (9)

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Assessing Accident Risks of Energy Technologies and Energy Infrastructure Networks Disruption and Recovery Processes

• Authors : Lustenberger, Peter;

Subjects: Accidents; Energy technologies; Resilience assessment

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