Observatorio de I+D+i UPM
• ESPAÑOL
• ENGLISH
INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
Antonio Hernando Esteban
Categoría Investigador
TITULAR UNIVERSIDAD
Sexo:
V
Escuela UPM
E.T.S DE ING. DE SISTEMAS INFORMÁTICOS
Departamento:
SISTEMAS INFORMÁTICOS (N)
Area Conocimiento
CC. DE COMPUTACION E INTELIGENCIA ARTIFICIAL
Grupo de Investigación:
Sin grupo de investigación
Email (Directorio UPM)
antonio.hernando
upm.es
Teléfono (Directorio UPM)
910673646
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
6 Proyectos de I+D+i
1: (2010)
SEGURIDAD DE VEHICULOS AUTOMOVILES CON ESPECIAL ATENCIOON A USUARIOS DE MOVILIDAD REDUCIDA
2: (2013)
Aumento de Prestaciones en los Sistemas de Recomendación Basados en Filtrado Colaborativo
3: (2014)
FP7 ONTIC( Online Network Traffic Characterization)
4: (2014)
FP7 ONTIC( Online Network Traffic Characterization)
5: (2014)
ONTIC: ONline Network TraffIc Characterization
6: (2015)
SIREFICO: Aumento de prestaciones en los sistemas de recomendación basados en filtrado colaborativo
Difusión de Resultados de Investigación
46 Artículos en revistas
1: (2009)
A Groebner bases-based approach to backward reasoning in rule based expert systems
2: (2009)
A technique for dynamically measuring and modifying relevance while problem solving
3: (2009)
Collaborative Filtering adapted to Recommender Systems of E-Learning
4: (2009)
New methods for proving the impossibility to solve problems through reduction of problem spaces
5: (2009)
Showing the non-existence of solutions in systems of linear Diophantine equations
6: (2010)
An accelerated-time microscopic simulation of a dedicated freight double-track railway line
7: (2010)
An algebraic approach to rule based expert systems
8: (2011)
A framework for collaborative filtering recommender systems
9: (2011)
A framework for collaborative filtering recommender systems
10: (2011)
Extended precision quality measure for recommender systems
11: (2011)
Improving collaborative filtering recommender system results and performance using genetic algorithms
12: (2012)
A Balanced Memory-Based Collaborative Filtering Similarity Measure
13: (2012)
A collaborative filtering approach to mitigate the new user cold start problem
14: (2012)
A collaborative filtering approach to mitigate the new user cold start problem
15: (2012)
A collaborative filtering similarity measure based on singularities
16: (2012)
Collaborative Filtering Based on Significances
17: (2012)
Collaborative filtering based on significances
18: (2012)
Generalization of Recommender Systems: Collaborative Filtering Extended to Group of Users and Restricted to Groups of Items
19: (2012)
Generalization of recommender systems: Collaborative filtering extended to groups of users and restricted to groups of items
20: (2013)
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm
21: (2013)
A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm
22: (2013)
Hierarchical graph maps for visualization of collaborative recommender systems
23: (2013)
Incorporating group recommendations to recommender systems: Alternatives and performance
24: (2013)
Incorporating reliability measurements into the predictions of a recommender system
25: (2013)
Recommender systems survey
26: (2013)
Trees for explaining recommendations made through collaborative filtering
27: (2014)
An approach from answer set programming to decision making in a railway interlocking system
28: (2014)
Foreword to the special issue on "Nonstandard applications of computer algebra" Preface
29: (2014)
Hierarchical graph maps for visualization of collaborative recommender systems
30: (2014)
Revisiting four-valued logics from Maple using the Logics Explorer package
31: (2014)
Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations
32: (2016)
A Comprehensive View of Recommendation Methods based on Probabilistic Techniques
33: (2016)
A natural language for implementing algebraically Expert Systems
34: (2016)
A non negative matrix factorization for collaborative filtering recommender systems based on a Bayesian probabilistic model
35: (2016)
An algebraic approach for detecting nearly dangerous situations in expert systems
36: (2016)
Foreword to the special issue on "Nonstandard Applications of Computer Algebra (ACA'2013)"
37: (2016)
Mathematics in the Middle Ages: A History of mathematics in the Western Middle Ages
38: (2016)
Recommending items to group of users using Matrix Factorization based Collaborative Filtering
39: (2017)
A probabilistic model for recommending to new cold-start non-registered users
40: (2017)
Multi-criteria Recommendations through Preference Learning
41: (2018)
A New Algebraic Approach to Decision Making in a Railway Interlocking System Based on Preprocess
42: (2018)
A recommender system for train routing: When concatenating two minimum length paths is not the minimum length path
43: (2018)
CF4J: Collaborative Filtering for Java
44: (2018)
Measuring mosaic diversity based on land use map in the region of Madrid, Spain
45: (2018)
Method to interactively visualize and navigate related information
46: (2018)
Recommender Systems Clustering Using Bayesian Non Negative Matrix Factorization
1 Capítulos de libros
1: (2010)
Collaborative Filtering Based on Choosing a Different Number of Neighbors for Each User
Explotación de Resultados y Transferencia de Tecnología
1 Know-How
1: (2016)
Cátedra UPM: BigTrueData I+D sobre Machine Learning
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S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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