Relevant bibliographies by topics / Baseline Approaches

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Baseline Approaches'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Baseline Approaches"

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Dansirikul, Chantaratsamon, Hanna E. Silber, and Mats O. Karlsson. "Approaches to handling pharmacodynamic baseline responses." Journal of Pharmacokinetics and Pharmacodynamics 35, no. 3 (April 30, 2008): 269–83. http://dx.doi.org/10.1007/s10928-008-9088-2.

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Kallbekken, Steffen, Line S. Flottorp, and Nathan Rive. "CDM baseline approaches and carbon leakage." Energy Policy 35, no. 8 (August 2007): 4154–63. http://dx.doi.org/10.1016/j.enpol.2007.02.013.

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Mantegazza, Renato, Andreas Meisel, Joern P. Sieb, Gwendal Le Masson, Claude Desnuelle, and Mirko Essing. "The European LEMS Registry: Baseline Demographics and Treatment Approaches." Neurology and Therapy 4, no. 2 (November 2, 2015): 105–24. http://dx.doi.org/10.1007/s40120-015-0034-0.

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Zhang, Xiao-Ling, Shun-Ji Huang, and Jian-Guo Wang. "Approaches to estimating terrain height and baseline for interferometric SAR." Electronics Letters 34, no. 25 (1998): 2428. http://dx.doi.org/10.1049/el:19981475.

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Andrades, Ryan, Tamyris Pegado, Bruno S. Godoy, José Amorim Reis-Filho, Jorge L. S. Nunes, Ana Carolina Grillo, Renan C. Machado, et al. "Anthropogenic litter on Brazilian beaches: Baseline, trends and recommendations for future approaches." Marine Pollution Bulletin 151 (February 2020): 110842. http://dx.doi.org/10.1016/j.marpolbul.2019.110842.

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Méndez-Fernández, Leire, Maite Martinez-Madrid, Isabel Pardo, and Pilar Rodriguez. "Baseline tissue concentrations of metal in aquatic oligochaetes: Field and laboratory approaches." Environmental Pollution 223 (April 2017): 636–43. http://dx.doi.org/10.1016/j.envpol.2017.01.070.

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Yelland, Jane, Stephanie Brown, and Ann Krastev. "Evaluating Innovations in Maternity Care: Methodological Approaches to a Baseline Postal Survey." Birth 30, no. 3 (September 2003): 160–67. http://dx.doi.org/10.1046/j.1523-536x.2003.00240.x.

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Chen, Jin, Tony Ro, and Zhigang Zhu. "Emotion Recognition With Audio, Video, EEG, and EMG: A Dataset and Baseline Approaches." IEEE Access 10 (2022): 13229–42. http://dx.doi.org/10.1109/access.2022.3146729.

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Mishra, Utkarsh. "Seismic Study of Soil Structure Interaction Modelling Approaches." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (October 31, 2021): 33–38. http://dx.doi.org/10.22214/ijraset.2021.38355.

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Abstract: In this paper we study certain modelling techniques by which the concept of soil structure interaction can be simulated in engineering problems and become fruitful for modern construction methods. For practical examination, a baseline model is prepared and put in comparison with an isolated base model which conforms to a rigid bathtub model with spring arrangement. Soil flexibility is taken into consideration during modeling. These modelling techniques are analysed using response spectrum analysis to get the maximum response of seismic parameters like storey forces and spectral acceleration. The study showed that the isolated base model had a superior seismic response and may be used in a variety of engineering applications, such as the design of new infrastructure, such as structures for storing water or other types of sediment, geotechnical modelling. Keywords: Baseline Model, Storey Forces, Spectral Acceleration, Soil Flexibility Rigid Bathtub Model
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Mishra, Utkarsh. "Seismic Study of Soil Structure Interaction Modelling Approaches." International Journal for Research in Applied Science and Engineering Technology 9, no. 10 (October 31, 2021): 33–38. http://dx.doi.org/10.22214/ijraset.2021.38355.

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Abstract: In this paper we study certain modelling techniques by which the concept of soil structure interaction can be simulated in engineering problems and become fruitful for modern construction methods. For practical examination, a baseline model is prepared and put in comparison with an isolated base model which conforms to a rigid bathtub model with spring arrangement. Soil flexibility is taken into consideration during modeling. These modelling techniques are analysed using response spectrum analysis to get the maximum response of seismic parameters like storey forces and spectral acceleration. The study showed that the isolated base model had a superior seismic response and may be used in a variety of engineering applications, such as the design of new infrastructure, such as structures for storing water or other types of sediment, geotechnical modelling. Keywords: Baseline Model, Storey Forces, Spectral Acceleration, Soil Flexibility Rigid Bathtub Model
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Dissertations / Theses on the topic "Baseline Approaches"

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Antrobus, Alexander Dennis. "Achieving baseline states in sparsely connected spiking-neural networks: stochastic and dynamic approaches in mathematical neuroscience." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/19949.

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Networks of simple spiking neurons provide abstract models for studying the dynamics of biological neural tissue. At the expense of cellular-level complexity, they are a frame-work in which we can gain a clearer understanding of network-level dynamics. Substantial insight can be gained analytically, using methods from stochastic calculus and dynamical systems theory. This can be complemented by data generated from computational simulations of these models, most of which benefit easily from parallelisation. One cubic millimetre of mammalian cortical tissue can contain between fifty and one-hundred thousand neurons and display considerable homogeneity. Mammalian cortical tissue (or grey matter") also displays several distinct firing patterns which are widely and regularly observed in several species. One such state is the "input-free" state of low-rate, stochastic firing. A key objective over the past two decades of modelling spiking-neuron networks has been to replicate this background activity state using "biologically plausible" parameters. Several models have produced dynamically and statistically reasonable activity (to varying degrees) but almost all of these have relied on some driving component in the network, such as endogenous cells (i.e. cells which spontaneously fire) or wide-spread, randomised external input (put down to background noise from other brain regions). Perhaps it would be preferable to have a model where the system itself is capable of maintaining such a background state? This a functionally important question as it may help us understand how neural activity is generated internally and how memory works. There has also been some contention as to whether driven" models produce statistically realistic results. Recent numerical results show that there are connectivity regimes in which Self-Sustained, Asynchronous, Irregular (SSAI) firing activity can be achieved. In this thesis, I discuss the history and analysis of the key spiking-network models proposed in the progression toward addressing this problem. I also discuss the underlying constructions and mathematical theory from measure theory and the theory of Markov processes which are used in the analysis of these models. I then present a small adjustment to a well known model and provide some original work in analysing the resultant dynamics. I compare this analysis to data generated by simulations. I also discuss how this analysis can be improved and what the broader future is for this line of research.
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Bouraoui, Seyfallah. "Time series analysis of SAR images using persistent scatterer (PS), small baseline (SB) and merged approaches in regions with small surface deformation." Phd thesis, Université de Strasbourg, 2013. http://tel.archives-ouvertes.fr/tel-01019429.

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This thesis aims at the study of small to large surface deformation that can be detected using the remote sensing interferometric synthetic aperture radar (InSAR) methods. The new developments of InSAR processing techniques allow the monitoring of surface deformation with millimeter surface change accuracy. Conventional InSAR use a pair of SAR images ("Master" and "Slave" images) in order to measure the phase difference between the two images taken at different times. The uncertainties in measurements using the conventional InSAR due to the atmospheric delay, the topographic changes and the orbital artifacts are the handicaps of this method. The idea of InSAR method is to measure the phase difference between tow SAR acquisitions. These measure refere to the ground movment according to the satellite position. In interferogram the red to blue colors refere to the pixel movement to or far from the satellite position in Line-Of-Sight (LOS) direction. In 2000's, Radar spacecraft have seen a large number of launching mission, SAR quisitions and InSAR applicability have seen explosion in differents geophysical studies due to the important SAR datas and facility of data accessibity. This SAR-mining needs other type and generation of InSAR processing.In 2001, Ferretti and others introduce a new method called Permanent Scatterer InSAR (PS) that is based on the use of more than one Slave image in InSAR processing with the same Master image. This method allows enhancing the LOS signal for each pixel (PS) by using the best time and/or space-correlated signal (from amplitude and/or from phase) for each pixel over the acquisitions. A large number of algorithms were developed for this purpose using thesame principle (variantes). In 2002, Berardino et al developed new algorithm for monitoring surface deformation based on the combination of stack of InSAR results from SAR couples respecting small baseline (SB) distance. Nowadays, these two methods represent the existing time series (TS) analysis of SAR images approaches. In addition, StaMPS software introduced by Hooper and others, in 2008 is able to combine these two methods in order to take advantages from both of this TS approaches in term of best signal correlation and reducing the signal noise errors. In this thesis, the time series studies of surface changes associate to differents geophysical phenomena will have two interest: the first is to highlight the PS and SBAS results and discuss the fiability of obtained InSAR signal with comparation with the previous studies of the same geophysical case or observations in the field and in the second time, the combined method will also validate the results obtained separately with differents TS techniques. The validation of obtained signal is assured by these two steeps: Both of PS and SBAS methods should give relatively the same interferograms and LOSdisplacement signal (in term of sign and values), in addition these results will be compared with the previous studies results or with observations on the field.In this thesis, the InSAR techniques are applied to different case-studies of small surface deformation [...]
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Chun, Seokjoon. "Using MIMIC Methods to Detect and Identify Sources of DIF among Multiple Groups." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5352.

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This study investigated the efficacy of multiple indicators, multiple causes (MIMIC) methods in detecting uniform and nonuniform differential item functioning (DIF) among multiple groups, where the underlying causes of DIF was different. Three different implementations of MIMIC DIF detection were studied: sequential free baseline, free baseline, and constrained baseline. In addition, the robustness of the MIMIC methods against the violation of its assumption, equal factor variance across comparison groups, was investigated. We found that the sequential-free baseline methods provided similar Type I error and power rates to the free baseline method with a designated anchor, and much better Type I error and power rates than the constrained baseline method across four groups, resulting from the co-occurrence background variables. But, when the equal factor variance assumption was violated, the MIMIC methods yielded the inflated Type I error. Also, the MIMIC procedure had problems correctly identifying the sources DIF, so further methodological developments are needed.
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Uhde, Kristin Broome. "Bioterrorism Syndromic Surveillance: A Dual-Use Approach with Direct Application to the Detection of Infectious Disease Outbreaks." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000623.

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Romano, Elisa. "Evaluation of a multi-component individual treatment intervention for adult males with histories of sexual abuse : a multiple-baseline approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0006/NQ41624.pdf.

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PALENA, Nicola (ORCID:0000-0002-2746-1208). "Educing Information and Deception Detection: Testing the Efficacy of the Baseline Approach and of Social Influence Tactics in HUMINT Interviewing." Doctoral thesis, Università degli studi di Bergamo, 2020. http://hdl.handle.net/10446/181498.

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Fusaro, Jonathan L. "Estimating Baseline Population Parameters of Urban and Wildland Black Bear Populations Using a DNA-Based Capture -Mark-Recapture Approach in Mono County, California." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/3706.

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Prior to European settlement, black bear (Ursus americanus) were far less abundant in the state of California. Estimates from statewide harvest data indicate the California black bear population has tripled in the last 3 decades. Bears inhabit areas they formally never occurred (e.g., urban environments) and populations that were at historically low densities are now at high densities. Though harvest data are useful and widely used as an index for black bear population size and population demographics statewide, it lacks the ability to produce precise estimates of abundance and density at local scales or account for the numerous bears living in non-hunted areas. As the human population continues to expand into wildlife habitat, we are being forced to confront controversial issues about wildlife management and conservation. Habituated bears living in non-hunted, urban areas have been and continue to be a major concern for wildlife managers and the general public. My objective was to develop DNA-based capture-mark-recapture (CMR) survey techniques in wildland and urban environments in Mono County, California to acquire population size and density at local scales from 2010 to 2012. I also compared population density between the urban and wildland environment. To my knowledge, DNA-based CMR surveys for bears have only been implemented in wildland or rural environments. I made numerous modifications to the techniques used during wildland DNA-based CMR surveys to survey bears in an urban environment. I used a higher density of hair-snares than typically used in wildland studies, non-consumable lures, modified hair-snares for public safety, included the public throughout the entire process, and surveyed in the urban-wildland interface as well as the city center. These methods were efficient and accurate while maintaining human safety. I determined that there is likely a difference in population density between the urban and wildland environments. Population density was 1.6 to 2.5 times higher in the urban study area compared to the wildland study area. Considering the negative impacts urban environments can have on wildland bear populations, this is a serious management concern. The densities I found were similar to those found in other urban and wildland black bear populations. The baseline data acquired from this study can be used as part of a long-term monitoring effort. By surveying additional years, population vital rates such as apparent survival, recruitment, movement, and finite rate of population change can be estimated.
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Mendoza, Guillermo I. "Exploring Gesturing as a Natural Approach to Impact Stages of Second Language Development: A Multiple Baseline, Single Case Study of a Head Start Child." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etd/3121.

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There is an increase in Hispanic English Language Learners (ELL). Poverty levels and lack of teacher training can also be stacked against the ELL population. Gesturing is a teaching technique that is used in successful methods such as The Natural Approach (NA) and Total Physical Response (TPR) in helping ELL students in English comprehension and output. This study examined the effects that increased teacher gestures have on the number of words spoken by the child in multiple settings. Data were collected in the context of a multiple baseline design across three settings. The results indicate that there was an effect on the amount of words spoken in two out of three settings. Suggestions are presented to expand on this effect.
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Hayward, Joanna I. "A Latent Profile Analysis of Baseline Difficulties in Emotion Regulation and Experiential Avoidance on Depression and Anxiety in a Psychiatric Inpatient Sample: A Person Centered Approach." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1515238096646445.

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Esch, Christina [Verfasser]. "Development of a one-step three dimensional approach for the phase unwrapping process in a differential InSAR stack based on Small BAseline Subset (SBAS) interferograms / Christina Esch." Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/1219140562/34.

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Books on the topic "Baseline Approaches"

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Fetters, Tamara. Youth talk about sexuality: A participatory assessment of adolescent sexual and reproductive health in Lusaka, Zambia : a baseline report for an OR study testing community-based approaches for improving adolescent reproductive and sexual health. [Lusaka?]: Operations Research Technical Assistance, Africa Project II, the Population Council, 1998.

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United States. Naval Facilities Engineering Command. Western Division., ed. [Proposed approach for the baseline human health risk assessment: Comments and responses]. [San Bruno, Calif: Dept. of the Navy, Western Division, Naval Facilities Engineering Command, 1993.

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Bengt, Muthen, and Educational Resources Information Center (U.S.), eds. Assessing program effects in the presence of treatment-baseline interactions: A latent curve approach. Los Angeles, CA: Center for the Study of Evaluation, National Center for Research on Evaluation, Standards, and Student Testing, Graduate School of Education & Information Studies, University of California, Los Angeles, 1997.

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U.S. Nuclear Regulatory Commission. Division of Fuel Cycle Safety and Safeguards. and Center for Nuclear Waste Regulatory Analyses (Southwest Research Institute), eds. A baseline risk-informed, performance-based approach for in situ leach uranium extraction leases. Washington, DC: Division of Fuel Cycle Safety and Safeguards, Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 2001.

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U.S. Nuclear Regulatory Commission. Division of Fuel Cycle Safety and Safeguards. and Center for Nuclear Waste Regulatory Analyses (Southwest Research Institute), eds. A baseline risk-informed, performance-based approach for in situ leach uranium extraction leases. Washington, DC: Division of Fuel Cycle Safety and Safeguards, Office of Nuclear Material Safety and Safeguards, U.S. Nuclear Regulatory Commission, 2001.

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Roderic, Rennison, Building and Fire Research Laboratory (U.S.). Office of Applied Economics, and National Science and Technology Council (U.S.). Subcommittee on Construction and Building, eds. An approach for measuring reductions in operations, maintenance, and energy costs: Baseline measures of construction industry practices for the national construction goals. Gaithersburg, Md: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, Office of Applied Economics, Building and Fire Research Laboratory, 1998.

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Scapini, Felicita, ed. The Mediterranean coastal areas from watershed to the sea: interactions and changes. Florence: Firenze University Press, 2007. http://dx.doi.org/10.36253/978-88-8453-557-3.

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This volume presents the Proceedings of the International Conference of the MEDCORE project held in Florence, Italy, in November 2005. The MEDCORE project "From river catchment areas to the sea: a comparative and integrated approach to the ecology of Mediterranean coastal zones for sustainable management", funded by the European Commission, was carried out from 2002 to 2005 by a consortium of researchers from European and Mediterranean partner countries. It focused on coastal areas, with particular attention to the interactions and links between the elements. The approach was characterised by multidisciplinary research and integration of expertise. This book contributes to the information flow originated by the project and the conference. Despite the variety of the contributions, they have been gathered into this single volume to construct a baseline for an innovative interdisciplinary perspective.
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Project, AMREF Child Survival, ed. Is a community based approach effective in meeting child survival goals?: Baseline and post-intervention results in two sub-counties of Uganda : AMREF Child Survival Project, African Medical and Research Foundation, Lowero District, Uganda, Semuto and Butuntumula Sub-counties. Kampala, Uganda: AMREF Uganda, 1995.

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Ben, Obonyo, Kenya Ministry of Health, Population Council, and University of Nairobi. College of Health Sciences., eds. A demonstration project on approaches to providing quality maternal care in Kenya: Findings from a baseline survey in four districts in Western Province, Kenya. [Nairobi]: Ministry of Health, 2002.

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Uysal, Suzan, and David L. Reich. Assessment of Postoperative Cognitive Decline. Edited by David L. Reich, Stephan Mayer, and Suzan Uysal. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190280253.003.0007.

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Neurocognitive outcome studies are a potentially rich source of information for evidence-based approaches to neuroprotection. This chapter provides a critical examination of assessment methods for studying postoperative cognitive decline (POCD), with regard to definition of the phenomenon, the role of hypotheses regarding mechanisms and localization of neural injury, and psychometric considerations for the design of POCD assessment protocols. It also describes an approach to conducting clinical neuropsychological assessments outside of research contexts for patients who present with signs or symptoms of POCD when there are no preoperative baseline cognitive test data. The authors propose a set of guidelines for designing, conducting, interpreting, and evaluating cognitive outcome studies in surgical patients and performing clinical POCD assessments.
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Book chapters on the topic "Baseline Approaches"

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Flaschel, Peter. "Baseline Approaches to the Labor Theory of Value." In Topics in Classical Micro- and Macroeconomics, 11–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00324-0_2.

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Thollander, Patrik, and Jenny Palm. "Barriers to Energy Efficiency: Theoretical Baseline, Previous Research, and Methodological Approaches." In Improving Energy Efficiency in Industrial Energy Systems, 35–59. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4162-4_3.

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Martínez, José L., Julio Villena, Jorge Fombella, Ana G. Serrano, Paloma Martínez, Josê M. Goñi, and José C. González. "MIRACLE Approaches to Multilingual Information Retrieval: A Baseline for Future Research." In Comparative Evaluation of Multilingual Information Access Systems, 210–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30222-3_20.

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Dimovski, Aleksandar S., Sven Apel, and Axel Legay. "A Decision Tree Lifted Domain for Analyzing Program Families with Numerical Features." In Fundamental Approaches to Software Engineering, 67–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71500-7_4.

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AbstractLifted (family-based) static analysis by abstract interpretation is capable of analyzing all variants of a program family simultaneously, in a single run without generating any of the variants explicitly. The elements of the underlying lifted analysis domain are tuples, which maintain one property per variant. Still, explicit property enumeration in tuples, one by one for all variants, immediately yields combinatorial explosion. This is particularly apparent in the case of program families that, apart from Boolean features, contain also numerical features with large domains, thus giving rise to astronomical configuration spaces.The key for an efficient lifted analysis is a proper handling of variability-specific constructs of the language (e.g., feature-based runtime tests and $$\texttt {\#if}$$ # if directives). In this work, we introduce a new symbolic representation of the lifted abstract domain that can efficiently analyze program families with numerical features. This makes sharing between property elements corresponding to different variants explicitly possible. The elements of the new lifted domain are constraint-based decision trees, where decision nodes are labeled with linear constraints defined over numerical features and the leaf nodes belong to an existing single-program analysis domain. To illustrate the potential of this representation, we have implemented an experimental lifted static analyzer, called SPLNum$$^2$$ 2 Analyzer, for inferring invariants of C programs. An empirical evaluation on BusyBox and on benchmarks from SV-COMP yields promising preliminary results indicating that our decision trees-based approach is effective and outperforms the baseline tuple-based approach.
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Athaiya, Snigdha, Raghavan Komondoor, and K. Narayan Kumar. "Data Flow Analysis of Asynchronous Systems using Infinite Abstract Domains." In Programming Languages and Systems, 30–58. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72019-3_2.

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AbstractAsynchronous message-passing systems are employed frequently to implement distributed mechanisms, protocols, and processes. This paper addresses the problem of precise data flow analysis for such systems. To obtain good precision, data flow analysis needs to somehow skip execution paths that read more messages than the number of messages sent so far in the path, as such paths are infeasible at run time. Existing data flow analysis techniques do elide a subset of such infeasible paths, but have the restriction that they admit only finite abstract analysis domains. In this paper we propose a generalization of these approaches to admit infinite abstract analysis domains, as such domains are commonly used in practice to obtain high precision. We have implemented our approach, and have analyzed its performance on a set of 14 benchmarks. On these benchmarks our tool obtains significantly higher precision compared to a baseline approach that does not elide any infeasible paths and to another baseline that elides infeasible paths but admits only finite abstract domains.
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van der Aalst, Wil M. P. "Foundations of Process Discovery." In Lecture Notes in Business Information Processing, 37–75. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08848-3_2.

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AbstractProcess discovery is probably the most interesting, but also most challenging, process mining task. The goal is to take an event log containing example behaviors and create a process model that adequately describes the underlying process. This chapter introduces the baseline approach used in most commercial process mining tools. A simplified event log is used to create a so-called Directly-Follows Graph (DFG). This baseline is used to explain the challenges one faces when trying to discover a process model. After introducing DFG discovery, we focus on techniques that are able to discover models allowing for concurrency (e.g., Petri nets, process trees, and BPMN models). The chapter distinguishes two types of approaches able to discover such models: (1) bottom-up process discovery and (2) top-down process discovery. The Alpha algorithm is presented as an example of a bottom-up technique. The approach has many limitations, but nicely introduces the idea of discovering local constraints. The basic inductive mining algorithm is presented as an example of a top-down technique. This approach, combined with frequency-based filtering, works well on most event logs. These example algorithms are used to illustrate the foundations of process discovery.
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Harris, P., N. J. K. Howden, S. Peukert, V. Noacco, K. Ramezani, E. Tuominen, B. Eludoyin, et al. "Contextualized Geographically Weighted Principal Components Analysis for Investigating Baseline Soils Data on the North Wyke Farm Platform." In Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment, 651–55. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-18663-4_99.

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Lajewska, Weronika, and Krisztian Balog. "From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track." In Lecture Notes in Computer Science, 177–91. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28241-6_12.

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Lahann, Johannes, Peter Pfeiffer, and Peter Fettke. "LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks." In Lecture Notes in Business Information Processing, 229–41. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27815-0_17.

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AbstractAnomaly detection can identify deviations in event logs and allows businesses to infer inconsistencies, bottlenecks, and optimization opportunities in their business processes. In recent years, various anomaly detection algorithms for business processes have been proposed based on either process discovery or machine learning algorithms. While there are apparent differences between machine learning and process discovery approaches, it is often unclear how they perform in comparison. Furthermore, deep learning research in other domains has shown that advancements did not solely come from improved model architecture but were often due to minor pre-processing and training procedure refinements. For this reason, this paper aims to set up a broad benchmark and establish a baseline for deep learning-based anomaly detection of process instances. To this end, we introduce a simple LSTM-based anomaly detector utilizing a collection of minor refinements and compare it with existing approaches. The results suggest that the proposed method can significantly outperform the existing approaches on a large number of event logs consistently.
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Pflueger, Maximilian, David J. Tena Cucala, and Egor V. Kostylev. "GNNQ: A Neuro-Symbolic Approach to Query Answering over Incomplete Knowledge Graphs." In The Semantic Web – ISWC 2022, 481–97. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-19433-7_28.

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AbstractReal-world knowledge graphs (KGs) are usually incomplete—that is, miss some facts representing valid information. So, when applied to such KGs, standard symbolic query engines fail to produce answers that are expected but not logically entailed by the KGs. To overcome this issue, state-of-the-art ML-based approaches first embed KGs and queries into a low-dimensional vector space, and then produce query answers based on the proximity of the candidate entity and the query embeddings in the embedding space. This allows embedding-based approaches to obtain expected answers that are not logically entailed. However, embedding-based approaches are not applicable in the inductive setting, where KG entities (i.e., constants) seen at runtime may differ from those seen during training. In this paper, we propose a novel neuro-symbolic approach to query answering over incomplete KGs applicable in the inductive setting. Our approach first symbolically augments the input KG with facts representing parts of the KG that match query fragments, and then applies a generalisation of the Relational Graph Convolutional Networks (RGCNs) to the augmented KG to produce the predicted query answers. We formally prove that, under reasonable assumptions, our approach can capture an approach based on vanilla RGCNs (and no KG augmentation) using a (often substantially) smaller number of layers. Finally, we empirically validate our theoretical findings by evaluating an implementation of our approach against the RGCN baseline on several dedicated benchmarks.
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Conference papers on the topic "Baseline Approaches"

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Mueller, Karsten, Ruben Kleis, and Gert F. Trommer. "Wide baseline matching for autonomous approaches of MAVs." In 2018 IEEE/ION Position, Location and Navigation Symposium (PLANS). IEEE, 2018. http://dx.doi.org/10.1109/plans.2018.8373456.

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Kaur, M., B. Singh, and Seema. "Comparison of different approaches for removal of baseline wander from ECG signal." In the International Conference & Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1980022.1980307.

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Al-Omar, Taif Omar, Hend Al-Khalifa, and Rawan Al-Matham. "Establishing a Baseline for Arabic Patents Classification: A Comparison of Twelve Approaches." In Proceedings of the The Seventh Arabic Natural Language Processing Workshop (WANLP). Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.wanlp-1.26.

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Wu, Feng, Shlomo Zilberstein, and Xiaoping Chen. "Multi-Agent Planning with Baseline Regret Minimization." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/63.

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We propose a novel baseline regret minimization algorithm for multi-agent planning problems modeled as finite-horizon decentralized POMDPs. It guarantees to produce a policy that is provably better than or at least equivalent to the baseline policy. We also propose an iterative belief generation algorithm to effectively and efficiently minimize the baseline regret, which only requires necessary iterations to converge to the policy with minimum baseline regret. Experimental results on common benchmark problems confirm its advantage comparing to the state-of-the-art approaches.
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Viana, Leonardo R., Marielle Canter Weikel, Jennifer Blaha, Trond Halvor Larsen, Jorge Ahumada, and Ruth Romer. "Advancements in Biodiversity Baseline Assessment and Monitoring Approaches for Enhanced Oil & Gas Performance." In SPE International Conference and Exhibition on Health, Safety, Security, Environment, and Social Responsibility. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/179465-ms.

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Goins, Gregory D., Neil C. Yorio, Gary W. Stutte, Raymond M. Wheeler, and John C. Sager. "Baseline Environmental Testing of Candidate Salad Crops with Horticultural Approaches and Constraints Typical of Spaceflight." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. http://dx.doi.org/10.4271/2003-01-2481.

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Altmann, Peter, Giorgio Giangaspero, Marian Zastawny, Simone Landi, Sylvain Lardeau, and Michael Mays. "Using Multi-Fidelity Turbulence Modelling Approaches to Analyse DrivAer External Aerodynamics." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0016.

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<div class="section abstract"><div class="htmlview paragraph">Increasing fuel and electricity prices create high pressure to develop efficient external aerodynamics of road cars. At the same time, development cycles are getting shorter to meet changing customer preferences while physical testing capacities remain limited, creating a pressing need for fast and accurate turbulence models to predict aerodynamic performance.</div><div class="htmlview paragraph">This paper introduces and discusses different turbulence modelling approaches beyond the well-known and established models used today in the industry. The RANS Lag Elliptic Blending (Lag EB) k − ϵ model, which enables highly accurate steady-state RANS, was chosen as the baseline approach. As a medium fidelity approach Scale-Resolving Hybrid (SRH) model was utilized, which modifies a RANS base model to produce a smooth transition between URANS and LES behavior. The Wall-Modelled LES (WMLES) method was chosen for high fidelity simulations.</div><div class="htmlview paragraph">To validate the presented models, a detailed set of experimental data from the 3<sup>rd</sup> Automotive CFD Prediction Workshop was utilized. Simulations were run on the grid provided for the workshop; in addition, a reviewed volume mesh was utilized. The numerical results of the aforementioned turbulence models are discussed against experimental results of the DrivAer baseline case and its variant with front wheel deflectors. In addition to force coefficients, flow field visualizations are available, providing additional insights.</div><div class="htmlview paragraph">The simulations show an excellent agreement for the Lag EB runs with the experimental data for the baseline model in terms of drag prediction. Scale-resolving simulations require appropriate numerical set-up for accurate drag prediction. The impact of the front wheel deflector on drag is consistently predicted by all three methods.</div></div>
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Kim, Yeo Jin, and Min Chi. "Temporal Belief Memory: Imputing Missing Data during RNN Training." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/322.

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We propose a bio-inspired approach named Temporal Belief Memory (TBM) for handling missing data with recurrent neural networks (RNNs). When modeling irregularly observed temporal sequences, conventional RNNs generally ignore the real-time intervals between consecutive observations. TBM is a missing value imputation method that considers the time continuity and captures latent missing patterns based on irregular real time intervals of the inputs. We evaluate our TBM approach with real-world electronic health records (EHRs) consisting of 52,919 visits and 4,224,567 events on a task of early prediction of septic shock. We compare TBM against multiple baselines including both domain experts' rules and the state-of-the-art missing data handling approach using both RNN and long-short term memory. The experimental results show that TBM outperforms all the competitive baseline approaches for the septic shock early prediction task.
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De Pelle, Rogers Prates, and Viviane P. Moreira. "Offensive Comments in the Brazilian Web: a dataset and baseline results." In VI Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2017. http://dx.doi.org/10.5753/brasnam.2017.3260.

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Brazilian Web users are among the most active in social networks and very keen on interacting with others. Offensive comments, known as hate speech, have been plaguing online media and originating a number of lawsuits against companies which publish Web content. Given the massive number of user generated text published on a daily basis, manually filtering offensive comments becomes infeasible. The identification of offensive comments can be treated as a supervised classification task. In order to obtain a model to classify comments, an annotated dataset containing positive and negative examples is necessary. The lack of such a dataset in Portuguese, limits the development of detection approaches for this language. In this paper, we describe how we created annotated datasets of offensive comments for Portuguese by collecting news comments on the Brazilian Web. In addition, we provide classification results achieved by standard classification algorithms on these datasets which can serve as baseline for future work on this topic.
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Do, Ninh Hai, and Mohammad-Reza Alam. "Data-Based Approach to Optimizing the Ocean Wave Energy Carpet Using Deep Neural Network." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18865.

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Abstract In this paper, we present the Neural Network-based Optimization Method, applied to optimizing the wave energy converter “wave carpet”. The proposed method can be applied to optimizing the computationally expensive objective function that other sequential optimization approaches fail to do. The results show that, in the simple case of single-frequency unidirectional incoming waves, this optimization method achieves the optimal carpet shape that can absorb 2.18 times more energy than the baseline circular shape, and in its best performance the neural network can optimize the carpet shape that absorbs 7 times more energy than the baseline, after being trained on a medium data set. Thus, the proposed method can be considered an effective approach to solving the optimization problems involving computationally expensive objective functions.
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Reports on the topic "Baseline Approaches"

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Dougherty, Leanne, Lynn Abu Turk, Nrupa Jani, and Chaibou Dadi. Evaluation of RISE II integrated social and behavior change activities in Niger: Baseline report. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1026.

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Breakthrough RESEARCH is conducting a mixed-methods study that includes quantitative methods to assess differential changes over time in key health outcomes associated with Resilience in the Sahel Enhanced (RISE) II's integrated social and behavioral change (SBC) strategy and qualitative methods to explain how and why gender-related changes occurred or were associated with these changes. This technical report presents descriptive baseline findings for the quantitative portion of the evaluation. This information will support RISE II's Resilience Food Security Activity partners to understand how to tailor planned SBC approaches to address barriers to adopting targeted health behaviors.
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Matanda, Dennis, Wilson Liambila, and Beth Kangwana. Community directed approaches to promote uptake of Sulfadoxine Pyrimethamine for intermittent preventive treatment of malaria in pregnancy: Baseline findings from Kisumu and Migori counties. Population Council, 2022. http://dx.doi.org/10.31899/sbsr2022.1045.

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Greene Nolan, Hillary, and Mai Chou Vang. Automated Essay Scoring in Middle School Writing: Understanding Key Predictors of Students’ Growth and Comparing Artificial Intelligence- and Teacher-Generated Scores and Feedback. Digital Promise, August 2023. http://dx.doi.org/10.51388/20.500.12265/187.

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Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos, essay prompts, and a platform for students to submit and revise essay drafts with AI-generated scores and feedback. We analyze AI-generated writing scores of 3,233 7th- and 8th-grade students in school year 2021-22 and find that students’ growth over time generally was not explained by teachers’ (n=35) experience or self-reported instructional approaches. We also find that students’ growth increased significantly as their baseline score decreased (i.e., a student with the lowest possible baseline grew more than a student with a medium baseline). Lastly, based on an in-person convening of 16 Topeka teachers, we compared their scores and feedback to AI-generated scores and feedback on the same essays, finding that generally the AI tool was more generous, with differences likely driven by teachers’ ability to understand the whole essay’s success better than the AI tool.
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Schneuwly, Sonja, and Caroline Chandler. Evaluation of transformational R&I policy: Lessons learned based on a retrospective review of food systems R&I investment in the EU. Fteval - Austrian Platform for Research and Technology Policy Evaluation, April 2022. http://dx.doi.org/10.22163/fteval.2022.549.

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This paper shares our experience of developing an EU-level baseline for research and innovation (R&I) in food systems, in support of the European Commission’s transformation agenda, with specific reference to the Food 2030 initiative. Food 2030 relates to the EU’s mission-oriented approach to R&I, viewing it within the context of a dynamic food system with multiple dependencies and many different actors. This approach aligns with a growing recognition that, in order to achieve transformational change, the interactions and interdependencies of all components within a given system and its relationship to other systems must be considered. In a transformative R&I system, innovation itself is no longer the endgoal but is viewed as an enabler to solve societal and environmental challenges (the end-objective). Linking such broader outcomes back to specific R&I inputs is not a straightforward endeavour. Furthermore, the inter- and transdisciplinary nature of a systems approach, as well as the nature of systems thinking itself, make it hard to define evaluative boundaries. Traditional public sector approaches to supporting R&I do not align well with such an approach, with implications for evaluating R&I policy. The paper focuses specifically on the novel aspects of the EU’s approach to framing food systems R&I and the evaluation challenges this presents, as well as how we have worked to mitigate these.
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Kruse, C., Dong Hun Kang, Kenneth Mitchell, Patricia DiJoseph, and Marin Kress. Freight fluidity for the Port of Baltimore : vessel approach and maritime mobility metrics. Engineer Research and Development Center (U.S.), January 2022. http://dx.doi.org/10.21079/11681/43000.

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The United States Army Corps of Engineers is tasked with maintaining waterborne transportation system elements. Understanding channel utilization by vessels informs decisions regarding operations, maintenance, and investments in those elements. Historically, investment decisions have been informed by safety, environmental considerations, and projected economic benefits of alleviating channel restrictions or shipping delays (usually derived from models). However, quantifying causes and impacts of shipping delays based on actual historical vessel location data and then identifying which causes could be ameliorated through investment has been out of reach until recently. In this study, Automatic Identification System vessel position reports were used to develop quantitative measures of transit and dwell-time reliabilities for commercial vessels calling at the Port of Baltimore, Maryland. This port has two deep-water approaches: Chesapeake Bay and the Chesapeake and Delaware Canal. Descriptive metrics were determined for each approach, including port cycle time, harbor stay hours, travel time inbound, and travel time outbound. Then, additional performance measures were calculated: baseline travel time, travel time index, and planning time index. The key finding of this study is that the majority of variability in port cycle time is due to the variability in harbor stay hours, not from channel conditions or channel restrictions.
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Cobb, M. A., and R. E. Dockter. Hanford Site Composite Analysis Technical Approach Description: Hanford Site Disposition Baseline. Office of Scientific and Technical Information (OSTI), October 2017. http://dx.doi.org/10.2172/1412547.

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Hollingsworth, Hilary, Debbie Wong, Elizabeth Cassity, Prue Anderson, and Jessica Thompson. Teacher Development Multi-Year Study Series. Evaluation of Australia’s investment in teacher development in Lao PDR: Interim report 1. Australian Council for Educational Research, 2022. http://dx.doi.org/10.37517/978-1-74286-674-1.

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The Government of Lao People’s Democratic Republic (Lao PDR) is undertaking significant primary education reforms, supported by the Australian Government's Department of Foreign Affairs and Trade (DFAT) through its flagship Basic Education Quality and Access in Laos program (BEQUAL). The Australian Government has commissioned a study to investigate how the BEQUAL program is making a difference to improving teaching quality and student learning outcomes. This research is part of a multi-year study series undertaken by DFAT's Education Analytics Service to investigate teacher and learning development initiatives in three countries: Lao PDR, Timor-Leste and Vanuatu. In 2019, the new curriculum for Lao language and other subjects was introduced for Grade 1 and is being phased in across all five primary grades. The new curriculum promotes teaching practices that support pedagogies focused on student-centred approaches, active learning, assessment of student learning progress, and a phonics approach to teaching reading. Teachers are being provided with teacher guides and other teaching and learning resources, and receive face-to-face orientation on the new curriculum. In BEQUAL-targeted districts, education support grants are also available to facilitate additional in-service support for teachers and principals. This study has provided the opportunity to investigate teaching quality and student literacy outcomes in Lao PDR over two rounds of data collection, with another planned for October 2022. The Baseline Report captured ‘state of play’ information in 2019 prior to major curriculum changes, as well as the onset of the COVID-19 pandemic. This summary provides an overview of findings and recommendations from the second year (2021) of the study, following two years of BEQUAL support for the implementation of the new Grade 1 Lao language curriculum.
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Megas, Katerina N., Michael Fagan, and David Lemire. Workshop Summary Report for “Building the Federal Profile for IoT Device Cybersecurity” Virtual Workshop. National Institute of Standards and Technology, January 2021. http://dx.doi.org/10.6028/nist.ir.8322.

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This report summarizes the feedback received on the work of the NIST Cybersecurity for IoT program on device cybersecurity at a virtual workshop in July 2020. NISTIR 8259, Foundational Cybersecurity Activities for IoT Device Manufacturers and NISTIR 8259A, IoT Device Cybersecurity Capability Core Baseline provide general guidance on how manufacturers can understand and approach their role in supporting customers’ cybersecurity needs and goals. As discussed in those documents, specific sectors and use cases may require more specific guidance than what is included in NISTIR 8259A’s core baseline for IoT devices. NIST conducted the virtual workshop “Building the Federal Profile for IoT Device Cybersecurity” to discuss and gather community input on the creation of a federal profile of the core baseline for use by federal agencies. This publication provides a summary of the workshop. The baseline will be published in NISTIR 8259D, Profile of the IoT Core Baseline for the Federal Government.
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Lin, Jeff P., Ronald D. Smith, and Barbara A. Kleiss. Using a Multi-Scale Assessment of Watershed Integrity (MAWI) Approach for Establishing Baseline Conditions in Watersheds. Fort Belvoir, VA: Defense Technical Information Center, April 2008. http://dx.doi.org/10.21236/ada479072.

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Hawley and George. PR-015-10603-R01 Effect of Upstream Piping Configuration on Ultrasonic Meter Bias. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2011. http://dx.doi.org/10.55274/r0010767.

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The goals of this project were twofold: (1) to test various piping configurations that are typically installed upstream of the AGA-9 recommended default meter run to determine if the configurations can cause significant installation bias, and (2) to determine if any of the tested configurations cause sufficiently little bias to become acceptable design practice. The approach was to use three commercially-available ultrasonic flow meters to monitor changes in flow measurement accuracy and variations in the velocity profiles from common piping configurations typically installed upstream of the AGA-9 recommended default meter run. The tests were performed under controlled conditions in the SwRI Metering Research Facility (MRF) High Pressure Loop (HPL) and were designed to compare a baseline unidirectional AGA-9 recommended default installation, without upstream piping disturbances, to common piping configurations with piping disturbances upstream of the baseline run.
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