• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 19 matches

• 2023
• 
  Kun Hao, Jessica Moysen Cortes, Mustafa Özger:
  Counterfactual and Causal Analysis for AI-Based Modulation and Coding Scheme Selection. GLOBECOM (Workshops) 2023: 32-37
• 
  Nicolás Sibuet Ruiz, S. Krishna Gowtam Peesapati, Jessica Moysen Cortes:
  XAI-Assisted Radio Resource Management: Feature Selection and SHAP Enhancement. ICC 2023: 2516-2521
• 
  Alexandru-Daniel Marcu, S. Krishna Gowtam Peesapati, Jessica Moysen Cortes, Sahar Imtiaz, James Gross:
  Explainable Artificial Intelligence for Energy-Efficient Radio Resource Management. WCNC 2023: 1-6
• 2020
• 
  Jessica Moysen, Mario García-Lozano:
  Learning-Based Tracking Area List Management in 4G and 5G Networks. IEEE Trans. Mob. Comput. 19(8): 1862-1878 (2020)
• 
  Jessica Moysen, Furqan Ahmed, Mario García-Lozano, Jarno Niemelä:
  Unsupervised learning for detection of mobility related anomalies in commercial LTE networks. EuCNC 2020: 111-115
• 
  Jessica Moysen, Furqan Ahmed, Mario García-Lozano, Jarno Niemelä:
  Big Data-driven Automated Anomaly Detection and Performance Forecasting in Mobile Networks. GLOBECOM (Workshops) 2020: 1-5
• 
  Jessica Moysen, Furqan Ahmed, Mario García-Lozano, Jarno Niemelä:
  Big Data-driven Automated Anomaly Detection and Performance Forecasting in Mobile Networks. CoRR abs/2011.14968 (2020)
• 2018
• 
  Jessica Moysen, Mario García-Lozano, Lorenza Giupponi, Silvia Ruiz:
  Conflict Resolution in Mobile Networks: A Self-Coordination Framework Based on Non-Dominated Solutions and Machine Learning for Data Analytics [Application Notes]. IEEE Comput. Intell. Mag. 13(2): 52-64 (2018)
• 
  Jessica Moysen, Lorenza Giupponi:
  From 4G to 5G: Self-organized network management meets machine learning. Comput. Commun. 129: 248-268 (2018)
• 2017
• 
  Jessica Moysen, Lorenza Giupponi, Josep Mangues-Bafalluy:
  A Mobile Network Planning Tool Based on Data Analytics. Mob. Inf. Syst. 2017: 6740585:1-6740585:16 (2017)
• 
  Jessica Moysen, Lorenza Giupponi:
  From 4G to 5G: Self-organized Network Management meets Machine Learning. CoRR abs/1707.09300 (2017)
• 2016
• 
  Jessica Moysen:
  Self organisation for 4G/5G networks. Polytechnic University of Catalonia, Spain, 2016
• 
  Oluwakayode Onireti, Ahmed Zoha, Jessica Moysen, Ali Imran, Lorenza Giupponi, Muhammad Ali Imran, Adnan A. Abu-Dayya:
  A Cell Outage Management Framework for Dense Heterogeneous Networks. IEEE Trans. Veh. Technol. 65(4): 2097-2113 (2016)
• 
  Jessica Moysen, Lorenza Giupponi, Josep Mangues-Bafalluy:
  On the potential of ensemble regression techniques for future mobile network planning. ISCC 2016: 477-483
• 
  Jessica Moysen, Lorenza Giupponi, Josep Mangues-Bafalluy:
  A machine learning enabled network planning tool. PIMRC 2016: 1-7
• 2015
• 
  Jessica Moysen, Lorenza Giupponi:
  Self-coordination of parameter conflicts in D-SON architectures: a Markov decision process framework. EURASIP J. Wirel. Commun. Netw. 2015: 82 (2015)
• 
  Jessica Moysen, Lorenza Giupponi, Nicola Baldo, Josep Mangues-Bafalluy:
  Predicting QoS in LTE HetNets based on location-independent UE measurements. CAMAD 2015: 124-128
• 
  Jessica Moysen, Lorenza Giupponi:
  Self Coordination among SON Functions in LTE Heterogeneous Networks. VTC Spring 2015: 1-6
• 2014
• 
  Jessica Moysen, Lorenza Giupponi:
  A Reinforcement Learning Based Solution for Self-Healing in LTE Networks. VTC Fall 2014: 1-6