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Yigit Kultur, Burak Turhan, Ayse Basar Bener
2008 Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of software engineering - SIGSOFT '08/FSE-16  
In this research we used a relatively complex machine learning algorithm, neural networks, and showed that stable and accurate estimations are achievable with an ensemble using associative memory.  ...  Companies usually have limited amount of data for effort estimation.  ...  Afterwards, the concept of associative memory is combined with ENN to form ensemble of neural networks with associative memory (ENNA).  ... 
doi:10.1145/1453101.1453148 dblp:conf/sigsoft/KulturTB08 fatcat:rrsf66kb3nggdj6x3fpe2spicy

Forecasting Shanghai Container Freight Index: A Deep-Learning-Based Model Experiment

Enna Hirata, Takuma Matsuda
2022 Journal of Marine Science and Engineering  
With the increasing availability of large datasets and improvements in prediction algorithms, machine-learning-based techniques, particularly deep learning algorithms, are becoming increasingly popular  ...  In this paper, we compare a long short-term memory (LSTM) method and a seasonal autoregressive integrated moving average (SARIMA) method for forecasting the comprehensive and route-based Shanghai Containerized  ...  The LSTM model used a neural network with one input layer, 120 hidden layers (dimensions), and one output layer.  ... 
doi:10.3390/jmse10050593 fatcat:lic6xfzrdjdnxnfmnqzh5w2uni

Empirical Study of Homogeneous and Heterogeneous Ensemble Models for Software Development Effort Estimation

Mahmoud O. Elish, Tarek Helmy, Muhammad Imtiaz Hussain
2013 Mathematical Problems in Engineering  
Accurate estimation of software development effort is essential for effective management and control of software development projects.  ...  In this paper, we have developed different homogeneous and heterogeneous ensembles of optimized hybrid computational intelligence models for software development effort estimation.  ...  [23, 24] proposed ensemble of neural networks with associative memory (ENNA) for estimating software development effort.  ... 
doi:10.1155/2013/312067 fatcat:abvlzbnqtnco7ab6j7oocgbh7a

Predictive Maintenance in the Automotive Sector: A Literature Review

Fabio Arena, Mario Collotta, Liliana Luca, Marianna Ruggieri, Francesco Gaetano Termine
2021 Mathematical and Computational Applications  
With the introduction of big data, it is possible to prevent potential failures and estimate the remaining useful life of the equipment by developing advanced mathematical models and artificial intelligence  ...  With the rapid advancement of sensor and network technology, there has been a notable increase in the availability of condition-monitoring data such as vibration, temperature, pressure, voltage, and other  ...  All authors have read and agreed to the published version of the manuscript.  ... 
doi:10.3390/mca27010002 fatcat:sgr35l7wxjdhnda23myr7sekwa

Rhythm in shoes: student perceptions of the integration of tap dance into choral music

Russell Wagoner
2017 voice and speech review  
Additionally, the data indicate the enjoyment of the movement, the demonstrations of the movement, the integration of music with the movement, the use of step names and counting, and the use of tap shoes  ...  Over a five-month period, high school choral ensemble members (N = 88) were taught twenty-five rhythm patterns excerpted from choral literature, integrating tap dance movement with the instruction.  ...  In the coding process, I employed the use of NVivo 11, a computer assisted qualitative data analysis software program to assist me with my analysis.  ... 
doi:10.1080/23268263.2017.1396054 fatcat:exjj3mahind37fylfnafdq6nmm

Dyslexia and Post-Secondary Aural Skills Instruction

Laurel Parsons
2015 Music Theory Online  
Working closely with dyslexic students and others who struggle with traditional aural-skills tasks leads to more fundamental questions about the assumptions and values implicit in standard aural-skills  ...  Traditional post-secondary aural-skills curricula can create extreme difficulties for music majors with dyslexia.  ...  conducting) can strengthen those neurological networks before the networks associated with pitch are brought into the mix.  ... 
doi:10.30535/mto.21.4.2 fatcat:fgesj2obvfevzan4hjx74c3bja

Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments [article]

Julian Risch, Anke Stoll, Lena Wilms, Michael Wiegand
The availability of language representations learned by large pretrained neural network models (such as BERT and ELECTRA) has led to improvements in many downstream Natural Language Processing tasks in  ...  We created ensembles of these models and investigated whether and how classification performance depends on the number of ensemble members and their composition.  ...  Acknowledgments We want to thank Google Colab for free access to GPUs and TPUs for quick and small experimentation in teams and visualization help, IIIT-H for providing us with access to HPC Cluster with  ... 
doi:10.48415/2021/fhw5-x128 fatcat:u3fcq4x23jba7ic2a5ldcsdbna

Inhalt Proceedings TU-BioMed Symposium 1998

Frank Rattay
2021 Proceedings TU-BioMed Symposium 1998   unpublished
by the European Commission, DG XII, and the Austrian Federal Ministry of Science and Research.  ...  Acknowledgement This study was started in the framework of the BIOl\1ED-l concerted action ANNDEE (BMHl-CT94-l 129) and it is continued within the BIOMED-2 project SIESTA (B.MH4-CT97-2040), both sponsored  ...  Figure 2 S 2 chemalic representation of an artificial neural network with farward connections between the ICfJers. This is the most common/y used neural network !  ... 
doi:10.11128/arep.10.a10000 fatcat:zkqxmwdnhngs7n6hbr3iiwtu2y

Monitoring and Engineering of the Stem Cell Microenvironment: Inkjet Printing of Growth Factors onto Novel Scaffolds for Controlling Musculoskeletal Stem Cell Differentiation and Alignment

Dai Fei Elmer Ker
Using this methodology, a primitive muscle-tendonbone (MTB) unit was patterned in vitro while ectopic bone tissue was patterned in vivo.  ...  In addition, the effect of inflammatory and anti-inflammatory microenvironments on osteoblast differentiation was characterized since inflammation is an important component of the wound healing response  ...  Frederick Lanni for useful discussions and assistance with DIC microscopy. This work was supported by NIH grants RO1EB004343 & RO1EB007369.  ... 
doi:10.1184/r1/6720731.v1 fatcat:zvjnyw3f2zg6jkjwkm2s2ktx4y

Coastal and Marine Spatial Planning Current Measurements in the Bonifacio Mouths and La Maddalena Archipelago: First Analyses

A Ribotti, M Borghini, K Schroeder, A Satta, B Sorgente, R Gerin, A Cucco, A Olita, L Fazioli, R Giovannini, R Sorgente
Finally three experiments with a drifter floating on the surface have also been organised in the period April-June 2009 to acquire data on the surface circulation in the area of the Bonifacio Mouths and  ...  for the management of oil-spill emergencies in an area of very high environmental value.  ...  The collaboration with CMCC and Consorzio Venezia Ricerche is also acknowledged. Acknowledgements  ... 

GABA signaling in the thalamus

Anita Lüthi, Samuel Frère, Markus A. Rüegg, Hans-Rudolf Brenner
2004 unpublished
Reuter for their constructive comments on earlier versions of the manuscript.  ...  Such prolonged activation of I h is associated with a number of rhythmic network activities Bal and McCormick, 1997; Strata et al., 1997) .  ...  active thalamocortical neuronal ensembles.  ... 
doi:10.5451/unibas-003611223 fatcat:wo33cmetfjcjpf2k2epvzl34ma

SCRIPTUM Creative writing studies

Sabine Scholl
2014 Creative Writing Research Journal   unpublished
Social net works are defined as neural networks which function in social cognition.  ...  Students learn to handle video scriptum 1/2014 and audio tools, software, combining their data with the possibilities of the web, using elements of content man agement systems to explore new ways of distributing  ... 


Vol Xx
Learning goals could be achieved using the Table of Pythagoras or cognitive maps, avoiding the use of working memory.  ...  facilitate interpretation of the ensemble of our case-based re-analysis.  ...  of different didactical methodologies, especially the use of 2.0 tools (see Tab. 4).  ...