Hugo Hammer
Orcid: 0000-0001-9429-7148Affiliations:
- Oslo and Akershus University College of Applied Sciences, Oslo, Norway
According to our database1,
Hugo Hammer
authored at least 105 papers
between 2011 and 2025.
Collaborative distances:
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Bibliography
2025
Evaluating gradient-based explanation methods for neural network ECG analysis using heatmaps.
J. Am. Medical Informatics Assoc., 2025
2024
A Two-Timescale Learning Automata Solution to the Nonlinear Stochastic Proportional Polling Problem.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024
Brain Informatics, December, 2024
Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data.
CoRR, 2024
Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach.
CoRR, 2024
Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports, 2024
2023
Neural Comput. Appl., March, 2023
Introducing Region Based Pooling for handling a varied number of EEG channels for deep learning models.
Frontiers Neuroinformatics, March, 2023
Big Data Cogn. Comput., 2023
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023
2022
Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator Dynamics.
IEEE Trans. Cybern., 2022
Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources.
Sensors, 2022
Pattern Recognit., 2022
Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure.
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022
Proceedings of the Nordic Artificial Intelligence Research and Development, 2022
Proceedings of the ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27, 2022
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022
2021
Achieving Fair Load Balancing by Invoking a Learning Automata-Based Two-Time-Scale Separation Paradigm.
IEEE Trans. Neural Networks Learn. Syst., 2021
Game-Theoretic Learning for Sensor Reliability Evaluation Without Knowledge of the Ground Truth.
IEEE Trans. Cybern., 2021
Enhanced Equivalence Projective Simulation: A Framework for Modeling Formation of Stimulus Equivalence Classes.
Neural Comput., 2021
CoRR, 2021
Big Data Cogn. Comput., 2021
Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence.
Big Data Cogn. Comput., 2021
HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD).
Proceedings of the MMSys '21: 12th ACM Multimedia Systems Conference, Istanbul, Turkey, 28 September 2021, 2021
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021
Proceedings of the ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021
Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation.
Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Pattern Anal. Appl., 2020
Pattern Anal. Appl., 2020
Equivalence Projective Simulation as a Framework for Modeling Formation of Stimulus Equivalence Classes.
Neural Comput., 2020
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification.
ACM Trans. Comput. Heal., 2020
A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy.
CoRR, 2020
Concurr. Comput. Pract. Exp., 2020
Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification.
IEEE Access, 2020
Proceedings of the 11th ACM Multimedia Systems Conference, 2020
Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros.
Proceedings of the 11th ACM Multimedia Systems Conference, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
The EndoTect 2020 Challenge: Evaluation and Comparison of Classification, Segmentation and Inference Time for Endoscopy.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
EvoDynamic: A Framework for the Evolution of Generally Represented Dynamical Systems and Its Application to Criticality.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
Proceedings of the Machine Learning and Knowledge Extraction, 2020
2019
IEEE Trans. Cybern., 2019
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction.
CoRR, 2019
Evaluation of the criticality of in vitro neuronal networks: Toward an assessment of computational capacity.
CoRR, 2019
Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation.
Appl. Intell., 2019
Appl. Intell., 2019
A new quantile tracking algorithm using a generalized exponentially weighted average of observations.
Appl. Intell., 2019
Proceedings of the 10th ACM Multimedia Systems Conference, 2019
Extracting Temporal Features into a Spatial Domain Using Autoencoders for Sperm Video Analysis.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
Stacked Dense Optical Flows and Dropout Layers to Predict Sperm Motility and Morphology.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019
2018
On the classification of dynamical data streams using novel "Anti-Bayesian" techniques.
Pattern Recognit., 2018
Mob. Networks Appl., 2018
Solving stochastic nonlinear resource allocation problems using continuous learning automata.
Appl. Intell., 2018
Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator.
Appl. Intell., 2018
Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm.
IEEE Access, 2018
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning.
Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
2017
Inf. Sci., 2017
Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation.
Proceedings of the International Conference on Research in Adaptive and Convergent Systems, 2017
The concept of workload delay as a quality-of-service metric for consolidated cloud environments with deadline requirements.
Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017
Proceedings of the Industrial Networks and Intelligent Systems, 2017
Two-Timescale Learning Automata for Solving Stochastic Nonlinear Resource Allocation Problems.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017
On using novel "Anti-Bayesian" techniques for the classification of dynamical data streams.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017
2016
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, 2016
Improving classification of tweets using word-word co-occurrence information from a large external corpus.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the Industrial Networks and Intelligent Systems, 2016
Improving Classification of Tweets Using Linguistic Information from a Large External Corpus.
Proceedings of the Industrial Networks and Intelligent Systems, 2016
Proceedings of the Industrial Networks and Intelligent Systems, 2016
On the feasibility of machine learning as a tool for automatic security classification: A position paper.
Proceedings of the 2016 International Conference on Computing, 2016
2015
Proceedings of the Information Security Applications - 16th International Workshop, 2015
Proceedings of the 2015 Conference on research in adaptive and convergent systems, 2015
Automatic security classification by machine learning for cross-domain information exchange.
Proceedings of the 34th IEEE Military Communications Conference, 2015
A Simple and Efficient Algorithm for Lexicon Generation Inspired by Structural Balance Theory.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015
On Enhancing the Label Propagation Algorithm for Sentiment Analysis Using Active Learning with an Artificial Oracle.
Proceedings of the Artificial Intelligence and Soft Computing, 2015
Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015
Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification.
Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2015
Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus.
Proceedings of the Computer Science and Its Applications, 2015
2014
Sentiment classification of online political discussions: a comparison of a word-based and dependency-based method.
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014
Building sentiment Lexicons applying graph theory on information from three Norwegian thesauruses.
Proceedings of the 27th Norsk Informatikkonferanse, 2014
Detecting Threats of Violence in Online Discussions Using Bigrams of Important Words.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
2011
Comput. Stat. Data Anal., 2011
Déjà vu - Predicting the number of players in online games through normalization of historical data.
Proceedings of the 10th Annual Workshop on Network and Systems Support for Games, 2011