Hugo Hammer

Affiliations:
  • Oslo and Akershus University College of Applied Sciences, Oslo, Norway


According to our database1, Hugo Hammer authored at least 82 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

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

Estimating Tukey depth using incremental quantile estimators.
Pattern Recognit., 2022

Explainable Artificial Intelligence for Human Embryo Cell Cleavage Stages Analysis.
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

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

Joint tracking of multiple quantiles through conditional quantiles.
Inf. Sci., 2021

Artificial Intelligence in Dry Eye Disease.
CoRR, 2021

SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation.
CoRR, 2021

Prediction of Cloud Fractional Cover Using Machine Learning.
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

HTAD: A Home-Tasks Activities Dataset with Wrist-Accelerometer and Audio Features.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

Temperature Forecasting using Tower Networks.
Proceedings of the ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021

Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
Tracking of multiple quantiles in dynamically varying data streams.
Pattern Anal. Appl., 2020

Smooth estimates of multiple quantiles in dynamically varying data streams.
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

Mitigating DDoS using weight-based geographical clustering.
Concurr. Comput. Pract. Exp., 2020

Dyadic Aggregated Autoregressive Model (DASAR) for Automatic Modulation Classification.
IEEE Access, 2020


Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros.
Proceedings of the 11th ACM Multimedia Systems Conference, 2020

ACM Multimedia BioMedia 2020 Grand Challenge Overview.
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

Analysis of Optical Brain Signals Using Connectivity Graph Networks.
Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019
Multiplicative Update Methods for Incremental Quantile Estimation.
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

A general representation of dynamical systems for reservoir computing.
CoRR, 2019

Two-time scale learning automata: an efficient decision making mechanism for stochastic nonlinear resource allocation.
Appl. Intell., 2019

On solving the SPL problem using the concept of probability flux.
Appl. Intell., 2019

A new quantile tracking algorithm using a generalized exponentially weighted average of observations.
Appl. Intell., 2019

VISEM: a multimodal video dataset of human spermatozoa.
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

Medico Multimedia Task at MediaEval 2019.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

GANEx: A complete pipeline of training, inference and benchmarking GAN experiments.
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

Semantic Analysis of Soccer News for Automatic Game Event Classification.
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

THREAT: A Large Annotated Corpus for Detection of Violent Threats.
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

A Queue Model for Reliable Forecasting of Future CPU Consumption.
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

A Novel Incremental Quantile Estimator Using the Magnitude of the Observations.
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

Efficient Tracking of Statistical Properties of Data Streams with Rapid Changes.
Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

Quantile Estimation Based on the Principles of the Search on the Line.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

2017
"Anti-Bayesian" flat and hierarchical clustering using symmetric quantiloids.
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

Data Mining Approaches for IP Address Clustering.
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

Incremental Quantiles Estimators for Tracking Multiple Quantiles.
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

A Higher-Fidelity Frugal Quantile Estimator.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Threat detection in online discussions.
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

Reliable modeling of CPU usage in an office worker environment.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data.
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

Automatic Detection of Hateful Comments in Online Discussion.
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
Automatic Security Classification with Lasso.
Proceedings of the Information Security Applications - 16th International Workshop, 2015

Quantile estimation using the theory of stochastic learning.
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

A Novel Clustering Algorithm Based on a Non-parametric "Anti-Bayesian" Paradigm.
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

Analysis of Time-Dependencies in Automatic Security Classification.
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

Constructing Sentiment Lexicons in Norwegian from a Large Text Corpus.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2011
Approximate forward-backward algorithm for a switching linear Gaussian model.
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


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