Ole-Christoffer Granmo - Universitetet i Agder
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Ole-Christoffer Granmo

Professor

Leder, Senter for forskning på kunstig intelligens (CAIR)

E-post:
ole.granmo@uia.no
Telefon:
37 23 33 57
Kontor:
A3062 ( Jon Lilletunsvei 9, Grimstad )
Nettside:
https://cair.uia.no/people/ole-christoffer-granmo/
Avdeling:
Institutt for informasjons- og kommunikasjonsteknologi

Prosjekter

PhD Students

Bakgrunn

Professor Ole-Christoffer Granmo is Director of the Centre for Artificial Intelligence Research (CAIR). His passion for artificial intelligence was lit at the age of ten when he got his first computer and discovered programming. Fascinated by the idea of superintelligence, he obtained his master's degree in informatics in 1999 and the PhD degree in 2004, both from the University of Oslo, Norway. Granmo develops theory and algorithms for systems that explore, experiment and learn in complex real-world environments. Drawing inspiration from the paradigms of deep reinforcement learning and probabilistic causal reasoning, he seeks to surpass human capability in flexible pattern recognition, model building and reasoning. Within his field of research, Granmo has written more than 115 refereed journal and conference publications.

Google Scholar Profile

Last changed: 2017-03-12 12:09:49

Publikasjoner

  • Granmo Ole-Christoffer Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation (2016).
  • Lazreg Mehdi Ben, Goodwin Morten, Granmo Ole-Christoffer, Deep Learning for Social Media Analysis in Crises Situations (2016).
  • Lazreg Mehdi Ben, Goodwin Morten, Granmo Ole-Christoffer, Information abstraction from crises related tweets using recurrent neural network (2016). IFIP Advances in Information and Communication Technology . ISSN 1868-4238. 475 s 441 - 452 doi: 10.1007/978-3-319-44944-9_38
  • Lei Jiao, Zhang Xuan, Oommen John, Granmo Ole-Christoffer, Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach (2016). Applied intelligence (Boston) . ISSN 0924-669X. 44 (2), s 307 - 321 doi: 10.1007/s10489-015-0682-x
  • Yazidi Anis, Oommen John, Horn Geir Henrik, Granmo Ole-Christoffer, Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments (2016). Pattern Recognition . ISSN 0031-3203. 60 s 430 - 443 doi: 10.1016/j.patcog.2016.05.001
  • Zhang Xuan, Oommen John, Granmo Ole-Christoffer, The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality (2016). Pattern Analysis and Applications . ISSN 1433-7541. s 1 - 12 doi: 10.1007/s10044-016-0535-1
  • Hansen Bjørnar, Loland Leonard Christopher, Goodwin Morten, Granmo Ole-Christoffer, Towards Evacuation Planning of Groups with Genetic Algorithms (2016).
  • Lazreg Mehdi Ben, Radianti Jaziar, Granmo Ole-Christoffer, A Bayesian network model for fire assessment and prediction (2015). Lecture Notes in Computer Science . ISSN 0302-9743. 9432 s 269 - 279 doi: 10.1007/978-3-319-27926-8_24
  • Zhang Xuan, Oommen John, Granmo Ole-Christoffer, Lei Jiao, A formal proof of the e-optimality of discretized pursuit algorithms (2015). Applied intelligence (Boston) . ISSN 0924-669X. s - doi: 10.1007/s10489-015-0670-1
  • Radianti Jaziar, Granmo Ole-Christoffer, Bouhmala Noureddine, Sarshar Parvaneh, Gonzalez Jose J, Comparing Different Crowd Emergency Evacuation Models Based on Human Centered Sensing Criteria (2015). International Journal of Information Systems for Crisis Response and Management . ISSN 1937-9390. 6 (3), s 53 - 70 doi: 10.4018/IJISCRAM.2014070104
  • Radianti Jaziar, Lazreg Mehdi Ben, Granmo Ole-Christoffer, Fire simulation-based adaptation of SmartRescue App for serious game: Design, setup and user experience (2015). Engineering applications of artificial intelligence . ISSN 0952-1976. 46 s 312 - 325 doi: 10.1016/j.engappai.2015.06.012
  • Matheussen Bernt Viggo, Granmo Ole-Christoffer, Modeling snow dynamics using a bayesian network (2015). Lecture Notes in Computer Science . ISSN 0302-9743. 9101 s 382 - 393 doi: 10.1007/978-3-319-19066-2_37
  • Lazreg Mehdi Ben, Radianti Jaziar, Granmo Ole-Christoffer, SmartRescue: Architecture for Fire Crisis Assessment and Prediction (2015).
  • Glimsdal Sondre, Granmo Ole-Christoffer, Thompson Sampling Guided Stochastic Searching on the Line for Non-Stationary Adversarial Learning (2015).
  • Glimsdal Sondre, Granmo Ole-Christoffer, Thompson sampling guided stochastic searching on the line for adversarial learning (2015). IFIP Advances in Information and Communication Technology . ISSN 1868-4238. 458 s 307 - 317 doi: 10.1007/978-3-319-23868-5_22
  • Webersik Christian, Gonzalez Jose J, Dugdale Julie Anne, Munkvold Bjørn Erik, Granmo Ole-Christoffer, Towards an integrated approach to emergency management: interdisciplinary challenges for research and practice (2015). Culture Unbound. Journal of Current Cultural Research . ISSN 2000-1525. 7 (3), s 524 - 540 doi: 10.3384/cu.2000.1525.1572525
  • Lei Jiao, Zhang Xuan, Granmo Ole-Christoffer, Oommen John, A Bayesian Learning Automata-Based Distributed Channel Selection Scheme (2014).
  • Radianti Jaziar, Granmo Ole-Christoffer, A Framework for Assessing the Condition of Crowds Exposed to a Fire Hazard Using a Probabilistic Model (2014). International Journal of Machine Learning and Computing . ISSN 2010-3700. 4 (1), s 14 - 20 doi: 10.7763/IJMLC.2014.V4.379
  • Glimsdal Sondre, Granmo Ole-Christoffer, A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems (2014).
  • Zhang Xuan, Granmo Ole-Christoffer, Oommen John, Lei Jiao, A formal proof of the ε-optimality of absorbing continuous pursuit algorithms using the theory of regular functions (2014). Applied intelligence (Boston) . ISSN 0924-669X. 41 (3), s 974 - 985 doi: 10.1007/s10489-014-0541-1
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, Goodwin Morten, A novel strategy for solving the stochastic point location problem using a hierarchical searching scheme (2014). IEEE Transactions on Cybernetics . ISSN 2168-2267. 44 (11), s 2202 - 2220 doi: 10.1109/TCYB.2014.2303712
  • Radianti Jaziar, Granmo Ole-Christoffer, Sarshar Parvaneh, Goodwin Morten, Dugdale Julie Anne, Gonzalez Jose J, A spatio-temporal probabilistic model of hazard- and crowd dynamics for evacuation planning in disasters (2014). Applied intelligence (Boston) . ISSN 0924-669X. 42 (1), s 3 - 23 doi: 10.1007/s10489-014-0583-4
  • Haugland Vegard, Kjølleberg Marius, Larsen Svein-Erik, Granmo Ole-Christoffer, A two-armed bandit collective for hierarchical examplar based mining of frequent itemsets with applications to intrusion detection (2014).
  • Gupta Neha, Granmo Ole-Christoffer, Agrawala Ashok, Arm Space Decomposition as a Strategy for Tackling Large Scale Multi-Armed Bandit Problems (2014).
  • Goodwin Morten, Granmo Ole-Christoffer, Radianti Jaziar, Escape planning in realistic fire scenarios with Ant Colony Optimisation (2014). Applied intelligence (Boston) . ISSN 0924-669X. 42 (1), s 24 - 35 doi: 10.1007/s10489-014-0538-9
  • Yazidi Anis, Oommen John, Granmo Ole-Christoffer, Goodwin Morten, On Utilizing Stochastic Non-linear Fractional Bin Packing to Resolve Distributed Web Crawling (2014).
  • Radianti Jaziar, Gonzalez Jose J, Granmo Ole-Christoffer, Publish-subscribe smartphone sensing platform for the acute phase of a disaster: A framework for emergency management support (2014).
  • Radianti Jaziar, Dugdale Julie Anne, Gonzalez Jose J, Granmo Ole-Christoffer, Smartphone sensing platform for emergency management (2014).
  • Zhang Xuan, Oommen John, Granmo Ole-Christoffer, Lei Jiao, Using the Theory of Regular Functions to Formally Prove the ε -Optimality of Discretized Pursuit Learning Algorithms (2014).
  • Sarshar Parvaneh, Radianti Jaziar, Granmo Ole-Christoffer, Gonzalez Jose J, A Bayesian Network Model for Evacuation Time Analysis During a Ship Fire (2013).
  • Sarshar Parvaneh, Radianti Jaziar, Granmo Ole-Christoffer, Gonzalez Jose J, A Dynamic Bayesian Network Model for Predicting Congestion During a Ship Fire Evacuation (2013).
  • Granmo Ole-Christoffer, Radianti Jaziar, Goodwin Morten, Dugdale Julie Anne, Sarshar Parvaneh, Glimsdal Sondre, Gonzalez Jose J, A Spatio-Temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning (2013).
  • Granmo Ole-Christoffer, Glimsdal Sondre, Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game (2013). Applied intelligence (Boston) . ISSN 0924-669X. 38 (4), s 479 - 488 doi: 10.1007/s10489-012-0346-z
  • Goodwin Morten, Granmo Ole-Christoffer, Radianti Jaziar, Sarshar Parvaneh, Glimsdal Sondre, Ant Colony Optimisation for Planning Safe Escape Routes (2013).
  • Zhang Xuan, Lei Jiao, Granmo Ole-Christoffer, Oommen John, Channel selection in cognitive radio networks: A switchable Bayesian learning automata approach (2013).
  • Radianti Jaziar, Granmo Ole-Christoffer, Bouhmala Nourddine, Sarshar Parvaneh, Yazidi Anis, Gonzalez Jose J, Crowd Models for Emergency Evacuation: A Review Targeting Human-Centered Sensing (2013).
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, Learning-Automaton-Based Online Discovery and Tracking of Spatiotemporal Event Patterns (2013). IEEE Transactions on Cybernetics . ISSN 2168-2267. 43 (3), s 1118 - 1130 doi: 10.1109/TSMCB.2012.2224339
  • Zhang Xuan, Granmo Ole-Christoffer, Oommen John, Lei Jiao, On Using the Theory of Regular Functions to Prove the Epsilon-Optimality of the Continuous Pursuit Learn- ing Automaton (2013).
  • Zhang Xuan, Granmo Ole-Christoffer, Oommen John, On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata (2013). Applied intelligence (Boston) . ISSN 0924-669X. 39 (4), s 782 - 792 doi: 10.1007/s10489-013-0424-x
  • Stensby Aleksander, Granmo Ole-Christoffer, Oommen John, The use of weak estimators to achieve language detection and tracking in multilingual documents (2013). International journal of pattern recognition and artificial intelligence . ISSN 0218-0014. 27 (4), s - doi: 10.1142/S0218001413500110
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, Goodwin Morten, A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem (2012).
  • Yazidi Anis, Oommen John, Granmo Ole-Christoffer, A Novel Stochastic Discretized Weak Estimator Operating in Non-Stationary Environments (2012).
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, A Stochastic Search on the Line-Based Solution to Discretized Estimation (2012).
  • Granmo Ole-Christoffer, Oommen John, Pedersen Asle, Achieving Unbounded Resolution in Finite Player Goore Games Using Stochastic Automata, and Its Applications (2012). Sequential Analysis . ISSN 0747-4946. 31 (2), s 190 - 218 doi: 10.1080/07474946.2012.665685
  • Oommen John, Yazidi Anis, Granmo Ole-Christoffer, An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators (2012). Journal of Information Processing Systems . ISSN 1976-913X. 8 (2), s 191 - 212 doi: 10.3745/JIPS.2012.8.2.191
  • Zhang Xuan, Granmo Ole-Christoffer, Oommen John, Discretized Bayesian Pursuit – A New Scheme for Reinforcement Learning (2012).
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, Service selection in stochastic environments: a learning-automaton based solution (2012). Applied intelligence (Boston) . ISSN 0924-669X. 36 (3), s 617 - 637 doi: 10.1007/s10489-011-0280-5
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, A New Tool for the Modeling of AI and Machine Learning Applications: Random Walk-Jump Processes (2011).
  • Granmo Ole-Christoffer, Glimsdal Sondre, A Two-Armed Bandit Based Scheme for Accelerated Decentralized Learning (2011).
  • Haugland Vegard, Kjølleberg Marius, Larsen Svein-Erik, Granmo Ole-Christoffer, A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection (2011). Lecture Notes in Computer Science . ISSN 0302-9743. 6922 s 72 - 81
  • Haugland Vegard, Kjølleberg Marius, Larsen Svein-Erik, Granmo Ole-Christoffer, A Two-Armed Bandit Collective for Examplar Based Mining of Frequent Itemsets with Applications to Intrusion Detection (2011).
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, Gerdes Martin, Reichert Frank, A User-Centric Approach for Personalized Service Provisioning in Pervasive Environments (2011). Wireless personal communications . ISSN 0929-6212. 61 (3), s 543 - 566 doi: 10.1007/s11277-011-0387-3
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, Reichert Frank, Gerdes Martin, An Intelligent Architecture for Service Provisioning in Pervasive Environments (2011).
  • Bouhmala Nourddine, Granmo Ole-Christoffer, GSAT Enhanced with Learning Automata and Multilevel Paradigm (2011). International Journal of Computer Science Issues . ISSN 1694-0784. 8 (6), s 38 - 54
  • Zhang Xuan, Oommen John, Granmo Ole-Christoffer, Generalized Bayesian Pursuit: A Novel Scheme for Multi-Armed Bernoulli Bandit Problems (2011).
  • Zhang Xuan, Oommen John, Granmo Ole-Christoffer, Generalized Bayesian pursuit: a novel scheme for multi-armed Bernoulli bandit problems (2011). IFIP Advances in Information and Communication Technology . ISSN 1868-4238. 364 s 122 - 131
  • Granmo Ole-Christoffer, Oommen John, Learning automata-based solutions to the optimal web polling problem modelled as a nonlinear fractional knapsack problem (2011). Engineering applications of artificial intelligence . ISSN 0952-1976. 24 (7), s 1238 - 1251 doi: 10.1016/j.engappai.2011.05.018
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, ON THE ANALYSIS OF A NEW MARKOV CHAIN WHICH HAS APPLICATIONS IN AI AND MACHINE LEARNING (2011).
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, On the Analysis of a RandomInterleaving Walk-Jump Process with Applications to Testing (2011). Sequential Analysis . ISSN 0747-4946. 30 (4), s 457 - 478 doi: 10.1080/07474946.2011.619104
  • Gupta Neha, Granmo Ole-Christoffer, Agrawala Ashok, Successive Reduction of Arms in Multi-Armed Bandits (2011).
  • Zhang Xuan, Granmo Ole-Christoffer, Oommen John, The Bayesian Pursuit Algorithm: A New Family of Estimator Learning Automata (2011).
  • Gupta Neha, Granmo Ole-Christoffer, Agrawala Ashok, Thompson Sampling for Dynamic Multi-armed Bandits (2011).
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, Tracking the Preferences of Users Using Weak Estimators (2011).
  • Norheim Thomas, Brådland Terje, Granmo Ole-Christoffer, Oommen John, A Generic Solution to Multi-Armed Bernoulli Bandit Problems Based on Random Sampling from Sibling Conjugate Priors (2010).
  • Yazidi Anis, Granmo Ole-Christoffer, Oommen John, A Learning Automata Based Solution to Service Selection in Stochastic Environments (2010). Lecture Notes in Computer Science . ISSN 0302-9743. (6098), s 209 - 218 doi: 10.1007/978-3-642-13033-5_22
  • Bouhmala Noureddine, Granmo Ole-Christoffer, Combining finite learning automata with GSAT for the satisfiability problem (2010). Engineering applications of artificial intelligence . ISSN 0952-1976. 23 (5), s 715 - 726 doi: 10.1016/j.engappai.2010.01.009
  • Granmo Ole-Christoffer, Bouhmala Nourddine, Enhancing Local-search based SAT Solvers with Learning Capability (2010).
  • Stensby Aleksander, Oommen John, Granmo Ole-Christoffer, Language Detection and Tracking in Multilingual Documents Using Weak Estimators (2010). Lecture Notes in Computer Science . ISSN 0302-9743. 6218 s 600 - 609
  • Yazidi Anis, Granmo Ole-Christoffer, Lin M., Wen X, Oommen John, Gerdes Martin, Reichert Frank, Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns (2010). Lecture Notes in Computer Science . ISSN 0302-9743. 6230 s 327 - 338
  • Granmo Ole-Christoffer, Oommen John, Optimal sampling for estimation with constrained resources using a learning automaton-based solution for the nonlinear fractional knapsack problem (2010). Applied intelligence (Boston) . ISSN 0924-669X. 33 (1), s 3 - 20 doi: 10.1007/s10489-010-0228-1
  • Granmo Ole-Christoffer, Berg Stian, Solving Non-Stationary Bandit Problems by Random Sampling from Sibling Kalman Filters (2010). Lecture Notes in Computer Science . ISSN 0302-9743. 6098 s 199 - 208
  • Granmo Ole-Christoffer, Granmo Ole Christoffer, Oommen John, Solving Stochastic Nonlinear Resource Allocation Problems Using a Hierarchy of Twofold Resource Allocation Automata (2010). I.E.E.E. transactions on computers (Print) . ISSN 0018-9340. 59 (4), s 545 - 560 doi: 10.1109/TC.2009.189
  • Granmo Ole-Christoffer Solving Two-Armed Bernoulli Bandit Problems Using a Bayesian Learning Automaton (2010). International Journal of Intelligent Computing and Cybernetics . ISSN 1793-5423. 3 (2), s 207 - 234
  • Bouhmala Noureddine, Granmo Ole-Christoffer, Stochastic Learning for SAT- Encoded Graph Coloring Problems (2010). International Journal of Applied Metaheuristic Computing . ISSN 1947-8283. 1 (3), s 1 - 19 doi: 10.4018/jamc.2010070101
  • Granmo Ole-Christoffer, Bouhmala Nourddine, Using Learning Automata to Enhance Local-Search Based SAT Solvers with Learning Capability (2010).
  • Granmo Ole-Christoffer, Oommen B. John, A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Sampling (2009).
  • Oommen B. John, Granmo Ole-Christoffer, Liang Z., A Novel Multidimensional Scaling Technique for Mapping Word-Of-Mouth Discussions (2009).
  • Granmo Ole-Christoffer, Oommen B. John, Learning Automata-based Solutions to Stochastic Nonlinear Resource Allocation Problems (2009).
  • Oommen B. John, Granmo Ole-Christoffer, Learning automata-based solutions to the Goore game and its applications (2009).
  • Granmo Ole-Christoffer The Bayesian Learning Automaton - Empirical Evaluation with Two-Armed Bernoulli Bandit Problems (2009).
  • Granmo Ole-Christoffer A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems (2008).
  • Granmo Ole-Christoffer, Oommen B. John, A Hierarchy of Twofold Resource Allocation Automata Supporting Optimal Web Polling (2008).
  • Kim Sang-Woon, Oommen B. John, Samuel Mathew, Granmo Ole-Christoffer, A solution to the stochastic point location problem in metalevel nonstationary environments (2008). IEEE transactions on systems, man and cybernetics. Part B. Cybernetics . ISSN 1083-4419. 38 (2), s 466 - 476 doi: 10.1109/TSMCB.2007.913602
  • Bouhmala Noureddine, Bouhmala Noureddine, Granmo Ole-Christoffer, Solving Graph Coloring Problems using Learning Automata (2008).
  • Granmo Ole-Christoffer, Myrer Svein Arild, Oommen B. John, Olsen Morten Goodwin, Learning automata-based solutions to the nonlinear fractional knapsack problem with applications to optimal resource allocation (2007). IEEE transactions on systems, man and cybernetics. Part B. Cybernetics . ISSN 1083-4419. 37 (1), s 166 - 175
  • Granmo Ole-Christoffer, Oommen B. John, On Using a Hierarchy of Twofold Resource Allocation Automata to Solve Stochastic Nonlinear Resource Allocation Problems (2007).
  • Oommen B. John, Misra Sudip, Granmo Ole-Christoffer, Routing bandwidth-guaranteed paths in MPLS traffic engineering: A multiple race track learning approach (2007). I.E.E.E. transactions on computers (Print) . ISSN 0018-9340. 56 (7), s 959 - 976
  • Granmo Ole-Christoffer, Bouhmala Noureddine, Bouhmala Noureddine, Solving the Satisfiability Problem Using Finite Learning Automata (2007). International Journal of Computer Science and Applications . ISSN 0972-9038. 4 (3), s 15 - 29
  • Kim Sang-Woon, Samuel Mathew, Granmo Ole-Christoffer, Oommen B. John, Stochastic Point Location in Non-stationary Environments and Its Applications (2007).
  • Granmo Ole-Christoffer, Pedersen Asle, Oommen B. John, Using Stochastic AI Techniques to Achieve Unbounded Resolution in Finite Player Goore Games and its Applications (2007).
  • Granmo Ole-Christoffer, Pedersen Asle, Oommen B. John, Empirical Verification of a Strategy for Unbounded Resolution in Finite Player Goore Games (2006).
  • Granmo Ole-Christoffer, Oommen B. John, On Allocating Limited Sampling Resources Using a Learning Automata-based Solution to the Fractional Knapsack Problem (2006).
  • Eide Viktor S. Wold, Granmo Ole-Christoffer, Eliassen Frank, Michaelsen Jørgen Andreas, Real-Time Video Content Analysis: QoS-Aware Application Composition and Parallel Processing (2006). ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) . ISSN 1551-6857. 2 (2), s 24 -
  • Eide Viktor S W, Granmo Ole-Christoffer, Eliassen Frank, Michaelsen Jørgen Andreas, Real-time Video Content Analysis : QoS-aware Application Composition and Parallel Processing (2006). ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) . ISSN 1551-6857. 2 (2), s 149 - 172 doi: http://doi.acm.org/10.1145/1142020.1142024
  • Granmo Ole-Christoffer Pipelined Execution of a Parallel Particle Filter for Real-time Feature Selection and Classification in Data Streams (2004). WSEAS Transactions on Information Science and Applications . ISSN 1790-0832. 1 (3), s 872 - 879
  • Lazreg Mehdi Ben, Goodwin Morten, Granmo Ole-Christoffer, Information abstraction from crises related tweets using recurrent neural network (2016). IFIP Advances in Information and Communication Technology . ISSN 1868-4238. 475 s 441 - 452 doi: 10.1007/978-3-319-44944-9_38
  • Lazreg Mehdi Ben, Goodwin Morten, Granmo Ole-Christoffer, Deep Learning for Social Media Analysis in Crises Situations (2016).
  • Yazidi Anis, Oommen John, Horn Geir Henrik, Granmo Ole-Christoffer, Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments (2016). Pattern Recognition . ISSN 0031-3203. 60 s 430 - 443 doi: 10.1016/j.patcog.2016.05.001
  • Lei Jiao, Zhang Xuan, Oommen John, Granmo Ole-Christoffer, Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach (2016). Applied intelligence (Boston) . ISSN 0924-669X. 44 (2), s 307 - 321 doi: 10.1007/s10489-015-0682-x
  • Zhang Xuan, Oommen John, Granmo Ole-Christoffer, The design of absorbing Bayesian pursuit algorithms and the formal analyses of their ε-optimality (2016). Pattern Analysis and Applications . ISSN 1433-7541. s 1 - 12 doi: 10.1007/s10044-016-0535-1
  • Hansen Bjørnar, Loland Leonard Christopher, Goodwin Morten, Granmo Ole-Christoffer, Towards Evacuation Planning of Groups with Genetic Algorithms (2016).
  • Granmo Ole-Christoffer Bayesian Unification of Gradient and Bandit-Based Learning for Accelerated Global Optimisation (2016).
  • Webersik Christian, Gonzalez Jose J, Dugdale Julie Anne, Munkvold Bjørn Erik, Granmo Ole-Christoffer, Towards an integrated approach to emergency management: interdisciplinary challenges for research and practice (2015). Culture Unbound. Journal of Current Cultural Research . ISSN 2000-1525. 7 (3), s 524 - 540 doi: 10.3384/cu.2000.1525.1572525
  • Radianti Jaziar, Lazreg Mehdi Ben, Granmo Ole-Christoffer, Fire simulation-based adaptation of SmartRescue App for serious game: Design, setup and user experience (2015). Engineering applications of artificial intelligence . ISSN 0952-1976. 46 s 312 - 325 doi: 10.1016/j.engappai.2015.06.012
  • Zhang Xuan, Oommen John, Granmo Ole-Christoffer, Lei Jiao, A formal proof of the e-optimality of discretized pursuit algorithms (2015). Applied intelligence (Boston) . ISSN 0924-669X. s - doi: 10.1007/s10489-015-0670-1

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