Current Research Information SysTem In Norway
 
 

 English version


 
Hovedside
Forskningsresultater/NVI
Forskere
Prosjekter
Forskningsenheter
Logg inn
Om Cristin
 
 
   
Eksporter til


Viser treff 1-50 av 110 << Forrige 1 2 3    Neste >>

2017
1 de Souza da Silva, Eliezer; Langseth, Helge; Ramampiaro, Heri.
Content-Based Social Recommendation with Poisson Matrix Factorization. Lecture Notes in Computer Science 2017 ;Volum LNAI 10534. s. -
NTNU Untitled
 
2 Madsen, Anders L.; Jensen, Frank; Salmeron, Antonio; Langseth, Helge; Nielsen, Thomas D..
A parallel algorithm for Bayesian network structure learning from large data sets. Knowledge-Based Systems 2017 ;Volum 117. s. 46-55
NTNU Untitled
 
3 Masegosa, Andres; Martinez, Ana M.; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio; Ramos-López, Dario.
Scaling up Bayesian variational inference using distributed computing clusters. International Journal of Approximate Reasoning 2017 ;Volum 88. s. 435-451
NTNU Untitled
 
4 Masegosa, Andres; Nielsen, Thomas D.; Langseth, Helge; Ramos-López, Dario; Salmeron, Antonio; Madsen, Anders L..
Bayesian Models of Data Streams with Hierarchical Power Priors. JMLR: Workshop and Conference Proceedings 2017 ;Volum 70. s. 2334-2343
NTNU Untitled
 
5 Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge.
Data driven case base construction for prediction of success of marine operations. ICCBR-17 Workshop on Workshop on Case-based Reasoning and Deep Learning - CBRDL 2017; 2017-06-26 - 2017-06-26
NTNU Untitled
 
6 Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge.
Data driven case base construction for prediction of success of marine operations. CEUR Workshop Proceedings 2017
NTNU Untitled
 
7 Ramos-López, Dario; Masegosa, Andres; Martinez, Ana M.; Salmeron, Antonio; Nielsen, Thomas D.; Langseth, Helge; Madsen, Anders L..
MAP inference in dynamic hybrid Bayesian networks. Progress in artificial intelligence 2017 ;Volum 6.(2) s. 133-144
NTNU Untitled
 
8 Ruocco, Massimiliano; Skrede, Ole Steinar Lillestøl; Langseth, Helge.
Inter-Session Modeling for Session-Based Recommendation. Association for Computing Machinery (ACM) 2017 (ISBN 978-1-4503-5353-3) 200 s.
NTNU Untitled
 
2016
9 Masegosa, Andres R.; Martinez, Ana M.; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio; Ramos-López, Dario; Madsen, Anders L..
d-VMP: Distributed Variational Message Passing. Journal of machine learning research 2016 ;Volum 55. s. 321-332
NTNU Untitled
 
10 Ramos-López, Dario; Salmeron, Antonio; Rumi, Rafael; Martinez, Ana M.; Nielsen, Thomas D.; Masegosa, Andres R.; Langseth, Helge; Madsen, Anders L..
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. Journal of machine learning research 2016 ;Volum 52. s. 415-425
NTNU Untitled
 
11 Salmerón, Antonio; Madsen, Anders L.; Jensen, Frank; Langseth, Helge; Nielsen, Thomas D.; Ramos-López, Dario; Martínez, Ana M.; Masegosa, Andres R..
Parallel filter-based feature selection based on balanced incomplete block designs. Frontiers in Artificial Intelligence and Applications 2016 ;Volum 285. s. 743-750
NTNU Untitled
 
2015
12 Borchani, Hanen; Martinez, Ana M.; Masegosa, Andres; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio; Fernández, Antonio; Madsen, Anders L.; Sáez, Ramón.
Dynamic Bayesian modeling for risk prediction in credit operations. Frontiers in Artificial Intelligence and Applications 2015 ;Volum 278. s. 17-26
NTNU Untitled
 
13 Borchani, Hanen; Martinez, Ana M.; Masegosa, Andres; Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio; Fernandez, Antonio; Madsen, Anders L.; Sáez, Ramón.
Modeling concept drift: A probabilistic graphical model based approach. Lecture Notes in Computer Science 2015 ;Volum 9385. s. 72-83
NTNU Untitled
 
14 Høverstad, Boye Annfelt; Tidemann, Axel; Langseth, Helge; Øzturk, Pinar.
Short-Term Load Forecasting With Seasonal Decomposition Using Evolution for Parameter Tuning. IEEE Transactions on Smart Grid 2015 ;Volum 6.(4) s. 1904-1913
NTNU Untitled
 
15 Langseth, Helge.
Big Data: En kunst å hente kunnskap ut av store tall?. TEKMAR; 2015-12-01 - 2015-12-02
NTNU Untitled
 
16 Langseth, Helge.
Research Frontiers in Recommender Systems. AI and BigData in a Digital World; 2015-05-27 - 2015-05-27
NTNU Untitled
 
17 Langseth, Helge; Bjørkeng, Per Kristian.
Dyp læring: Slik har maskinene begynt å lære som oss. Aftenposten [Avis] 2015-12-09
NTNU Untitled
 
18 Langseth, Helge; Nielsen, Thomas D..
Scalable learning of probabilistic latent models for collaborative filtering. Decision Support Systems 2015 ;Volum 74. s. 1-11
NTNU Untitled
 
19 Madsen, Anders L.; Jensen, Frank; Salmeron, Antonio; Langseth, Helge; Nielsen, Thomas D..
Parallelization of the PC Algorithm. Lecture Notes in Computer Science 2015 ;Volum 9422. s. 14-24
NTNU Untitled
 
20 Masegosa, Andres; Martinez, Ana M.; Borchani, Hanen; Ramos-Lopez, Dario; Nielsen, Thomas D.; Langseth, Helge; Salmeron, Antonio; Madsen, Anders L..
AMIDST: Analysis of MassIve Data STreams. 27th Benelux Conference on Artificial Intelligence; 2015-11-05 - 2015-11-06
NTNU Untitled
 
21 Myklatun, Øyvind Herstad; Thorrud, Thorstein Kaldahl; Nguyen, Hai Thanh; Langseth, Helge; Kofod-Petersen, Anders.
Probability-based Approach for Predicting E-commerce Consumer Behaviour Using Sparse Session Data. I: RecSys '15 Challenge: Proceedings of the 2015 International ACM Recommender Systems Challenge. ACM Publications 2015 ISBN 978-1-4503-3665-9. s. -
NTNU Untitled
 
22 Pérez-Bernabé, Inmaculada; Salmeron, Antonio; Langseth, Helge.
Learning conditional distributions using mixtures of truncated basis functions. Lecture Notes in Computer Science 2015 ;Volum 9161. s. 397-406
NTNU Untitled
 
23 Salmeron, Antonio; Ramoz-López, Darío; Borchani, Hanen; Martinez, Ana M.; Masegosa, Andres; Fernandez, Antonio; Langseth, Helge; Madsen, Anders L.; Nielsen, Thomas D..
Parallel importance sampling in conditional linear gaussian networks. Lecture Notes in Computer Science 2015 ;Volum 9422. s. 36-46
NTNU Untitled
 
24 Salmeron, Antonio; Rumi, Rafael; Langseth, Helge; Madsen, Anders L.; Nielsen, Thomas D..
MPE inference in Conditional Linear Gaussian Networks. Lecture Notes in Computer Science 2015 ;Volum 9161. s. 407-416
NTNU Untitled
 
2014
25 Langseth, Helge; Nielsen, Thomas D.; Pérez-Bernabé, Inmaculada; Salmeron, Antonio.
Learning mixtures of truncated basis functions from data. International Journal of Approximate Reasoning 2014 ;Volum 55.(4) s. 940-956
NTNU Untitled
 
26 Madsen, Anders L.; Jensen, Frank; Salmeron, Antonio; Karlsen, Martin; Langseth, Helge; Nielsen, Thomas D..
A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs. I: Probabilistic Graphical Models. Springer 2014 ISBN 978-3-319-11432-3. s. 302-317
NTNU Untitled
 
27 Nguyen, Hai Thanh; Almenningen, Thomas; Havig, Martin; Schistad, Herman; Kofod-Petersen, Anders; Langseth, Helge; Ramampiaro, Heri.
Learning to Rank for Personalized Fashion Recommender Systems via Implicit Feedback. Lecture Notes in Computer Science 2014 ;Volum 8891. s. 51-61
NTNU Untitled
 
28 Nielsen, Thomas D.; Hovda, Sigve; Fernandez, Antonio; Langseth, Helge; Madsen, Anders L.; Masegosa, Andres; Salmeron, Antonio.
Requirement Engineering for a Small Project with Pre-Specified Scope. NIK: Norsk Informatikkonferanse 2014 s. -
NTNU Untitled
 
29 Zhong, Shengtong; Langseth, Helge; Nielsen, Thomas D..
A classification-based approach to monitoring the safety of dynamic systems. Reliability Engineering & System Safety 2014 ;Volum 121. s. 61-71
NTNU Untitled
 
2013
30 Høverstad, Boye Annfelt; Tidemann, Axel; Langseth, Helge.
Effects of data cleansing on load prediction algorithms. I: 2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG). IEEE conference proceedings 2013 ISBN 978-1-4673-6002-9. s. 93-100
NTNU Untitled
 
31 Langseth, Helge.
Beating the bookie: A look at statistical models for prediction of football matches. The 12th Scandinavian AI conference; 2013-11-20 - 2013-11-22
NTNU Untitled
 
32 Langseth, Helge.
Beating the bookie: A look at statistical models for prediction of football matches. I: Twelfth Scandinavian Conference on Artificial Intelligence. IOS Press 2013 ISBN 978-1-61499-329-2. s. 165-174
NTNU Untitled
 
33 Langseth, Helge; Marquez, David; Neil, Martin.
Fast approximate inference in hybrid Bayesian networks using dynamic discretisation. 5th. INTERNATIONAL WORK-CONFERENCE on the INTERPLAY between NATURAL and ARTIFICIAL COMPUTATION; 2013-06-11 - 2013-06-13
NTNU Untitled
 
34 Langseth, Helge; Marquez, David; Neil, Martin.
Fast approximate inference in hybrid Bayesian networks using dynamic discretisation. Lecture Notes in Computer Science 2013 ;Volum 7930. s. 225-234
NTNU Untitled
 
35 Tidemann, Axel; Høverstad, Boye Annfelt; Langseth, Helge; Øzturk, Pinar.
Effects of scale on load prediction algorithms. I: CIRED 2013 Electricity Distribution Systems for a Sustainable Future. CIRED - Congrès International des Réseaux Electriques de Distribution 2013 ISBN 9781849197328.
NTNU Untitled
 
2012
36 Langseth, Helge; Nielsen, Thomas D..
A latent model for collaborative filtering. International Journal of Approximate Reasoning 2012 ;Volum 53.(4) s. 447-466
NTNU Untitled
 
37 Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio.
Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions. I: Proceedings of the Sixth European Workshop onProbabilistic Graphical Models. Granada, Spania: DECSAI, University of Granada 2012 ISBN 978-84-15536-57-4. s. 171-178
NTNU Untitled
 
38 Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio.
Inference in hybrid Bayesian networks with Mixtures of Truncated Basis Functions. The Sixth European Workshop on Probabilistic Graphical Models; 2012-09-19 - 2012-09-21
NTNU Untitled
 
39 Langseth, Helge; Nielsen, Thomas D.; Rumi, Rafael; Salmeron, Antonio.
Mixtures of truncated basis functions. International Journal of Approximate Reasoning 2012 ;Volum 53.(2) s. 212-227
NTNU Untitled
 
40 Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio.
Learning Mixtures of Truncated Basis Functions from Data. I: Proceedings of the Sixth European Workshop onProbabilistic Graphical Models. Granada, Spania: DECSAI, University of Granada 2012 ISBN 978-84-15536-57-4. s. 163-170
NTNU Untitled
 
41 Langseth, Helge; Nielsen, Thomas D.; Salmeron, Antonio.
Learning Mixtures of Truncated Basis Functions from Data. The Sixth European Workshop on Probabilistic Graphical Models; 2012-09-19 - 2012-09-21
NTNU Untitled
 
2011
42 Bruland, Tore; Aamodt, Agnar; Langseth, Helge.
A hybrid CBR and BN architecture refined through data analysis. I: ISDA 2011, Proceedings of the 11th International Conference on Intelligent Systems Design and Applications; 22 – 24 November 2011, Córdoba, Spain. IEEE conference proceedings 2011 ISBN 978-1-4577-1675-1. s. 906-913
NTNU Untitled
 
43 Houeland, Tor Gunnar Høst; Bruland, Tore; Aamodt, Agnar; Langseth, Helge.
Combining CBR and BN using metareasoning. Eleventh Scandinavian Conference on Artificial Intelligence; 2011-05-24 - 2011-05-26
NTNU Untitled
 
44 Houeland, Tor Gunnar Høst; Bruland, Tore; Aamodt, Agnar; Langseth, Helge.
Combining CBR and BN using metareasoning. Frontiers in Artificial Intelligence and Applications 2011 ;Volum 227. s. 189-191
NTNU Untitled
 
45 Kofod-Petersen, Anders; Heintz, Fredrik; Langseth, Helge.
Eleventh Scandinavian Conference on Artificial Intelligence -- SCAI 2011. IOS Press 2011 (ISBN 978-1-60750-753-6) 197 s. Frontiers in Artificial Intelligence and Applications(227)
NTNU Untitled
 
46 Kofod-Petersen, Anders; Heintz, Fredrik; Langseth, Helge.
Foreword. I: Eleventh Scandinavian Conference on Artificial Intelligence -- SCAI 2011. IOS Press 2011 ISBN 978-1-60750-753-6. s. v-viii
NTNU Untitled
 
47 Lillegraven, Terje N.; Wolden, Arnt C.; Kofod-Petersen, Anders; Langseth, Helge.
A design for a tourist CF system. Eleventh Scandinavian Conference on Artificial Intelligence; 2011-05-24 - 2011-05-26
NTNU Untitled
 
48 Lillegraven, Terje N.; Wolden, Arnt C.; Kofod-Petersen, Anders; Langseth, Helge.
A design for a tourist CF system. Frontiers in Artificial Intelligence and Applications 2011 ;Volum 227. s. 193-194
NTNU Untitled
 
2010
49 Bruland, Tore; Aamodt, Agnar; Langseth, Helge.
Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support. IFIP Advances in Information and Communication Technology 2010 ;Volum 340. s. 82-91
NTNU Untitled
 
50 Bruland, Tore; Aamodt, Agnar; Langseth, Helge.
Architectures Integrating Case-Based Reasoning and Bayesian Networks for Clinical Decision Support. Intelligent Information Processing (IIP) 2010; 2010-10-13 - 2010-10-16
NTNU Untitled
 
    Vis neste liste