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Conferencia 鈥淧redicci贸n del riesgo de dimisi贸n de un empleado mediante t茅cnicas de Machine Learning y an谩lisis de redes鈥.


El pr贸ximo jueves 20 de julio a las 12:30 horas en la Sala de Seminarios del edificio Torretamarit, el prof. Guillem Duran, Colaborador con United Arab Emirates University (UAEU), impartir谩 la conferencia que lleva por t铆tulo 鈥Predicci贸n del riesgo de dimisi贸n de un empleado mediante t茅cnicas de Machine Learning y an谩lisis de redes鈥.

Resumen:

La obtenci贸n de m茅tricas para predecir si un empleado va a dimitir de su actual puesto de trabajo es un tema de inter茅s para los departamentos de recursos humanos, debido al coste econ贸mico que conlleva una baja inesperada en la plantilla de una empresa. En esta charla analizamos c贸mo construir modelos predictivos del riesgo de dimisi贸n mediante t茅cnicas de Machine Learning y an谩lisis de redes. Utilizando los datos de la aplicaci贸n de MyHappyforce, dise帽ada para obtener comentarios de los empleados de una empresa, explicaremos el proceso a seguir para construir modelos predictivos del riesgo de dimisi贸n a partir de las interacciones entre los empleados. Durante esta charla empezaremos explicando en qu茅 consiste nuestro dataset, c贸mo debe de ser procesado, y cu谩les son las caracter铆sticas m谩s relevantes que pueden observarse al analizar los datos. A continuaci贸n, explicaremos c贸mo se pueden utilizar t茅cnicas de an谩lisis de redes para crear rasgos que permitan cuantificar num茅ricamente las interacciones entre los empleados, haciendo especial hincapi茅 en la t茅cnica de extracci贸n de grupos llamada Non-negative Matrix Factorization (NMF). Finalmente, analizaremos qu茅 caracter铆sticas son las que m谩s influyen a la hora de predecir el riesgo que un empleado tiene de abandonar su puesto de trabajo.


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Martes, 18 de julio de 2017 Sin comentarios

Conferencia 鈥淎chieving a sustainable cost efficient business model in banking: The case of European banks鈥.


Estimados alumnos:

El pr贸ximo viernes 14 de julio a las 10:00 horas en la Sala de Seminarios del edificio Torretamarit, la prof. Ana Lozano-Vivas, de la Universidad de M谩laga, impartir谩 la conferencia que lleva por t铆tulo 鈥Achieving a sustainable cost efficient business model in banking: The case of European banks鈥.

 

Resumen:

Although the business model (BM) is the most fundamental task of the bank鈥檚 management to ensure sustained operation and profitability of a bank, it has become a subject of supervisor鈥檚 scrutiny due to the recent financial crisis when failing banks were rescued with public funds and supervisors were criticized around the world. Since one of the reasonsfor the financial crisis wasthatsome banks had (and still have) unsustainable BMs, sustainable BMs are, for example, on the top of the ECB鈥檚 agenda. Given its relevance, it is important to understand implication that BM characteristics have for bank performance in general and for cost efficiency in particular. Optimizing operating efficiency has become a necessity for the survival of bank. This is one of the top priorities for a bank, especially during times when revenue鈥恎enerating opportunities are sub鈥恛ptimal. This paper usesthe Herfindahl index to measure how concentrate the bank isin items of the asset, funding or income portfolio. We analyze efficiency of bank BM along three business dimensions, viz., assets, funding and income, for the European Banking Industry. We apply recently developed four component heteroskedastic cost model to investigate effects of three business dimensions to time鈥 varying bank cost inefficiency while controlling for bank effects and persistent cost inefficiency. In the proposed model we assume bank鈥恠pecific effects and persistent cost inefficiency random and distributed independently and identically across banks but time鈥恦arying cost inefficiency and noise terms are made heteroscedastic in terms of assets, funding and income diversification for each bank. Note that we are interpreting heteroscedasticity of the noise term as risk thereby meaning whether different forms of diversifications are risk enhancing or risk reducing.

 


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Jueves, 13 de julio de 2017 Sin comentarios

Conferencia 鈥淢easuring Productivity Change Accounting for Adjustment Costs: Evidence from the Food Industry in the European Union鈥.


El pr贸ximo martes 11 de julio a las 10:00 horas en la Sala de Seminarios del edificio Torretamarit, la prof. Magdalena Kapelko, de Wroclaw University of Economics, Institute of Applied Mathematics, Department of Logistics, impartir谩 la conferencia que lleva por t铆tulo 鈥Measuring Productivity Change Accounting for Adjustment Costs: Evidence from the Food Industry in the European Union鈥.

 

Resumen:

This paper extends the measurement of dynamic productivity change over time to provide its full decomposition into economically meaningful components in the Data Envelopment Analysis framework. The dynamic approach accounts for dynamics of production decisions via adjustment costs and is visualized as a dynamic Luenberger productivity change indicator. The paper also estimates the dynamic productivity change and its components for a large dataset of European food companies from 2004 till 2012, grouped into Eastern, Southern, and Western regions. The study reveals three main results. First, the overall trend of dynamic technical regress and positive dynamic technical inefficiency change across almost all regions and sectors was found. Second, some differences for this general pattern were found for the bakery industry and for Eastern European firms. Thirdly, there are also some remarkable changes in indicators observed during the periods related to the financial crisis and the volatility of agricultural commodity prices.


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Domingo, 9 de julio de 2017 Sin comentarios

Conferencia 鈥淪mall-scale fisheries in Brazil: a not-so-invisible problem鈥.


El pr贸ximo聽viernes 16 de junio a las 11:30聽horas en la Sala de Seminarios del edificio Torretamarit,聽la profesora Priscila Lopes, de la Universidade Federal do Rio Grande do Norte, Natal (Brazil), impartir谩 la conferencia que lleva por t铆tulo 聽鈥Small-scale fisheries in Brazil: a not-so-invisible problem鈥.

Resumen:

Brazil is proportionally a relatively unimportant player in the world fisheries scenario. However, small-scale fisheries (SSF) specifically are crucial for local livelihoods and the food security of millions of people, both on the coast and inland. Such fisheries provide more than 50% of the total Brazilian catches, suggesting that they can be highly impacting on the local ecosystems, especially on vulnerable ones, such as coastal reefs. Despite having some preferential target species, SSF is highly diverse and adaptive, depending on the environment, but also on the socioeconomic context. For being mostly coastal and exploiting shallow waters, many of the stocks targeted cannot undergo intensive fishing pressure, which have put many key species in a vulnerable situation, with some of them being locally extinct already. Topping up the problem, Brazil does not have a fishery statistical program since 2011, and has been cutting research funding continuously since 2014. To partially overcome the limitations, we have been developing alternative, affordable and reliable tools to collect and reconstruct fishing data, usually with the support of fishers. As there is official interest in managing such fisheries either, we have to stimulate and count on participatory initiatives to implement management as well and to understand, counterbalance or adjust, when necessary, the general impacts of development projects and of protected areas.

 


Domingo, 18 de junio de 2017 Sin comentarios

Conferencia 鈥淎plicaciones de modelos jer谩rquicos bayesianos en Epidemiolog铆a en Plantas鈥


El pr贸ximo viernes 16 de junio a las 11:30 horas en la Sala de Seminarios del edificio Torretamarit, el prof. Joaqu铆n Mart铆nez Minaya, de la Universitat de Val猫ncia, impartir谩 la conferencia que lleva por t铆tulo 鈥Aplicaciones de modelos jer谩rquicos bayesianos en Epidemiolog铆a en Plantas

Resumen:

En los 煤ltimos a帽os, el uso de modelos estad铆sticos complejos en disciplinas como la Epidemiolog铆a en plantas ha aumentado con el objetivo de ayudarnos a entender el comportamiento de las enfermedades en este 谩mbito. La dificultad que presentan algunos de estos modelos hace dif铆cil tanto el proceso de estimaci贸n como el de predicci贸n. Los modelos jer谩rquicos bayesianos parecen una buena alternativa para abordar este tipo de problemas y est谩n basados principalmente en la premisa de que ambos, informaci贸n e incertidumbre se pueden expresar en t茅rminos de distribuciones de probabilidad. En esta charla, presentamos modelizaciones para el estudio de algunas enfermedades en plantas, como son la mancha negra de los c铆tricos o la mancha foliar del caqui.

 

 


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Domingo, 18 de junio de 2017 Sin comentarios

Conferencia 鈥淎 convex approach to differential inclusions with prox-regular sets鈥


Estimados/as alumno/as,

El pr贸ximo martes 13 de junio a las 18:30 horas en la Sala de Seminarios del edificio Torretamarit, el Dr. Abderrahim Hantoute, de Center for Mathematical Modeling, University of Chile, impartir谩 la conferencia que lleva por t铆tulo 鈥A convex approach to differential inclusions with prox-regular sets鈥.

Resumen:

We study the existence and stability of the solutions for differential inclusions governed by the normal cone to a prox-regular set and subject to a Lipschitz perturbation. We prove that such apparently more general systems can be indeed remodeled into the classical theory of differential inclusions involving maximal monotone operators. This result permits us to make use of the rich and abundant achievements in this class of monotone operators to derive the desired existence result and stability analysis, as well as the continuity and differentiability properties of the solutions. This going back and forth between these two kinds of differential inclusions is made possible thanks to a viability result for maximal monotone operators. This is a joint work with S. Adly and Bao Tran Nguyen.

 


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S谩bado, 10 de junio de 2017 Sin comentarios

Conferencia 鈥淒ifferences in teachers鈥 efficiency: evidence for Spain鈥.


Estimados/as alumnos/as,

El pr贸ximo mi茅rcoles 7 de junio a las 12:00 horas en la Sala de Seminarios del edificio Torretamarit, el prof. Gabriela Sicilia, de la Universidad Aut贸noma de Madrid, impartir谩 la conferencia que lleva por t铆tulo 鈥Differences in teachers鈥 efficiency: evidence for Spain鈥.

Abstract:

This research contributes to the ongoing debate about differences in teachers鈥 performance. We introduce a new methodology that combine production frontier and impact evaluation insights that allows using DEA as an identification strategy of a treatment with high and low quality teachers within schools to assess their performance. We use a unique database in Spain that supplies information on two classrooms at 4th聽grade in primary education, where students and teachers were randomly assigned into the two classrooms at each school. We find considerable differences in teachers鈥 efficiency across schools and also significant effects on students鈥 achievement. In line with previous findings, we find that neither teacher experience nor academic training explains teachers鈥 efficiency. Conversely, being a female teacher, having worked five or more years in the same school, repeating a second year with the same group or having smaller class sizes positively affects the efficiency of teachers.


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Lunes, 5 de junio de 2017 Sin comentarios

Conferencia ” A Wald-type test statistic based on robust modified median estimator in logistic regression models”


Estimados/as alumnos/as,

El pr贸ximo lunes 5 de junio a las 12:00 horas en la Sala de Seminarios del edificio Torretamarit, el prof. Tom谩拧 Hobza, de Czech Technical University in Prague, impartir谩 la conferencia que lleva por t铆tulo 鈥A Wald-type test statistic based on robust modified median estimator in logistic regression models鈥.

Abstract

This contribution deals with robust estimation and hypothesis testing in logistic regression models. It introduces a modified median estimator of the underlying parameters of these models based on statistically smoothed binary responses and gives its asymptotic distribution. Using the modified median estimator, a Wald-type test statistic for testing linear hypotheses in the logistic regression model is also considered and its asymptotic distribution is obtained. Sensitivity to contaminations and leverage points is studied by simulations and compared in this manner with the sensitivity of some robust estimators and tests previously introduced to the logistic regression. The new estimator and test based on it appears to be more robust for larger sample sizes and higher levels of contamination.


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Lunes, 5 de junio de 2017 Sin comentarios

Quinta edici贸n del Developer Days


Los d铆as 11 y 12 de mayo tendr谩 lugar en la universidad la quinta edici贸n del Developer Days, un evento organizado por la rama de estudiantes de IEEE de la Universidad Miguel Hern谩ndez de Elche con el apoyo de la Escuela Polit茅cnica Superior de Elche y la Delegaci贸n de Estudiantes. Este a帽o 聽estar谩 dedicado a Internet of Things y Videojuegos, con ponencias de empresas que abordan esos temas y talleres para aprender un poco m谩s. 隆Asiste y obt茅n 0.8 ECTS!

 

photo_2017-04-26_11-33-47

 

Aqu铆 est谩 el horario provisional de las jornadas. Puede que algunas ponencias cambien de horas entre s铆 pero los talleres est谩n fijos.

photo_2017-05-03_14-58-40

 

Ponencias:

  • Shooting UMH: el coordinador del grupo de desarrollo de videojuegos de la rama IEEE UMH, Vicente Quiles, mostrar谩 el avance del videojuego creado por la rama con la colaboraci贸n de la Escuela Polit茅cnica Superior de Elche, IEEE Shooting UMH.
  • Big Data: el profesor聽Alex Rabasa, vicedecano de proyecci贸n del grado en Estad铆stica Empresarial de la UMH, nos introducir谩 en聽el proceso de recolecci贸n de grandes cantidades de datos y su inmediato an谩lisis.
  • Vitriko,聽SmartSolutions for IoT: esta empresa hablar谩 sobre la Industria 4.0 y la Ciberseguridad. 隆No te lo puedes perder!
  • Introducci贸n a IoT: el coordinador del grupo de Internet of Things, Jos茅 Miguel A. Sepulcre, nos har谩 una peque帽a introducci贸n al mundo de IoT junto con el profesor de la UMH y Counselour de la rama, 脫scar Bonastre.
  • Industrial IoT: ser谩 una introducci贸n al Industrial Internet of Things (IIoT) y de como se est谩n empleando estos conceptos para el desarrollo y despliegues de sistemas de un futuro cada vez m谩s cercano (coches aut贸nomos, hospitales inteligentes, plantas de energ铆a renovable inteligentes鈥). Tambi茅n se hablar谩 de los principales protocolos de comunicaci贸n para el desarrollo de estos sistemas, profundizando en DDS.

Talleres:

  • Blender:聽 aprender谩s a crear el personaje de tu videojuego. Un programa dedicado al modelado, iluminaci贸n,聽animaci贸n y creaci贸n de gr谩ficos tridimensionales.
  • Programaci贸n C#:聽lenguaje de programaci贸n orientado a objetos, lo puedes utilizar para crear tu script.
  • Unity:聽herramienta para desarrollar videojuegos. Crea tu escenario, importa tu personaje, tu script y 隆a jugar!
  • IoT: Se basar谩 en la recopilaci贸n de datos a trav茅s de Arduino y con la ayuda de Matlab.

El evento estar谩 abierto a toda la comunidad universitaria, s贸lo se necesita inter茅s en la ingenier铆a y en innovar. 隆El objetivo es aprender y disfrutar!

Las plazas son limitadas.

隆Inscr铆bete aqu铆!

 

Pod茅is seguirnos en nuestras redes sociales聽y estar al tanto de todas las novedades del evento:

Facebook

Twitter

Instagram

 

Y escribirnos a sb.umh@ieee.org


Categories: Big Data, Conferencias, Estudiantes, Estudios Tags:

Viernes, 5 de mayo de 2017 Sin comentarios

Conferencia “The CO2 conflicting-claims problem”


Estimados alumnos y alumnas:

El pr贸ximo jueves 6 de abril a las 12:30 horas en la Sala de Seminarios del edificio Torretamarit, el prof. Jos茅 Manuel Gim茅nez -G贸mez, de la Universitat Rovira i Virgili, impartir谩 la conferencia que lleva por t铆tulo 鈥The CO2 conflicting-claims problem鈥.

Resumen:

An effective climate agreement is urgently required, yet conflict between parties prevails over cooperation. Thanks to advances in science it is now possible to quantify聽the global carbon budget, the amount of available cumulative CO2 emissions before聽crossing the 2oC threshold (Meinshausen et al., 2009). Countries carbon claims,聽however, exceed this. Historically such situations have been tackled with bankruptcy聽division rules. We argue that framing climate negotiations as a classical conflicting聽claims problem (O鈥橬eill, 1982) may provide for an effective climate policy. We analyze聽the allocation of the global carbon budget among parties claiming the maximum聽emissions rights possible. Based on the selection of some desirable principles, we聽propose an efficient and sustainable allocation of the available carbon budget for the聽period 2000 to 2050 taking into account different risk scenarios.

 


Mi茅rcoles, 5 de abril de 2017 Sin comentarios