Michael Alexander Riegler

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 34

Top Topics

Machine Learning

Top Venues

Publications

Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen
Sustainable Commercial Fishery Control Using Multimedia Forensics Data from Non-trusted, Mobile Edge Nodes. MMM (3) (2024)
Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Hanh-Nhi Tran, Rage Uday Kiran, Takahiro Komamizu
ICDAR 24: Intelligent Cross-Data Analysis and Retrieval. ICMR (2024)
Sajad Amouei Sheshkal, Morten Gundersen, Michael Alexander Riegler, Øygunn Aass Utheim, Kjell Gunnar Gundersen, Hugo Lewi Hammer
Classifying Dry Eye Disease Patients from Healthy Controls Using Machine Learning and Metabolomics Data. CoRR (2024)
Stephanie Zubicueta Portales, Michael Alexander Riegler
Maleficent Neural Networks, the Embedding of Malware in Neural Networks: A Survey. IEEE Access 12 (2024)
Azza H. Ahmed, Michael Alexander Riegler
Brain-Inspired Real Time Anomaly Detection System for Mobile Networks. ICC Workshops (2024)
Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen, Hugo Lewi Hammer
Principal Components Analysis Based Frameworks for Efficient Missing Data Imputation Algorithms. ACIIDS (Companion) (2023)
Sajad Amouei Sheshkal, Michael Alexander Riegler, Hugo Lewi Hammer
ML-Peaks: CHIP-Seq Peak Detection Pipeline using Machine Learning Techniques. CBMS (2023)
Guillaume Habault, Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang Nguyen, Yuta Nakashima, Cathal Gurrin
ICDAR'23: Intelligent Cross-Data Analysis and Retrieval. ICMR (2023)
Syed Zohaib Hassan, Saeed Shafiee Sabet, Pegah Salehi, Hayley Ko, Ingvild Riiser, Miriam S. Johnson, Gunn Astrid Baugerud, Michael Alexander Riegler, Pål Halvorsen
A Comparative Study of Interactive Environments for Investigative Interview of A Virtual Child Avatar. ISM (2022)
Joakim Aalstad Alslie, Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Håvard Dagenborg Johansen, Pål Halvorsen, Michael Alexander Riegler, Dag Johansen
Áika: A Distributed Edge System for AI Inference. Big Data Cogn. Comput. 6 (2) (2022)
Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Cathal Gurrin, Yuta Nakashima, Mianxiong Dong
ICDAR'22: Intelligent Cross-Data Analysis and Retrieval. ICMR (2022)
Thu Nguyen, Hoang Thien Ly, Michael Alexander Riegler, Pål Halvorsen
Principle Components Analysis based frameworks for efficient missing data imputation algorithms. CoRR (2022)
Syed Zohaib Hassan, Pegah Salehi, Michael Alexander Riegler, Miriam Sinkerud Johnson, Gunn Astrid Baugerud, Pål Halvorsen, Saeed Shafiee Sabet
A Virtual Reality Talking Avatar for Investigative Interviews of Maltreat Children. CBMI (2022)
Cise Midoglu, Andrea M. Storås, Saeed Shafiee Sabet, Malek Hammou, Steven Alexander Hicks, Inga Strümke, Michael Alexander Riegler, Carsten Griwodz, Pål Halvorsen
Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework. ISM (2022)
Tor-Arne Schmidt Nordmo, Aril Bernhard Ovesen, Bjørn Aslak Juliussen, Steven Alexander Hicks, Vajira Thambawita, Håvard Dagenborg Johansen, Pål Halvorsen, Michael Alexander Riegler, Dag Johansen
Njord: a fishing trawler dataset. MMSys (2022)
Myrthe Lammerse, Syed Zohaib Hassan, Saeed Shafiee Sabet, Michael Alexander Riegler, Pål Halvorsen
Human vs. GPT-3: The challenges of extracting emotions from child responses. QoMEX (2022)
Saeed Shafiee Sabet, Cise Midoglu, Syed Zohaib Hassan, Pegah Salehi, Gunn Astrid Baugerud, Carsten Griwodz, Miriam S. Johnson, Michael Alexander Riegler, Pål Halvorsen
Comparison of Crowdsourced and Remote Subjective User Studies: A Case Study of Investigative Child Interviews. QoMEX (2022)
Olav A. Norgård Rongved, Markus Stige, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Evi Zouganeli, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen
Automated Event Detection and Classification in Soccer: The Potential of Using Multiple Modalities. Mach. Learn. Knowl. Extr. 3 (4) (2021)
Azza H. Ahmed, Steven Hicks, Michael Alexander Riegler, Ahmed Elmokashfi
Predicting High Delays in Mobile Broadband Networks. IEEE Access 9 (2021)
Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Michael Alexander Riegler, Pål Halvorsen, Matthias Nießner, Balu Adsumilli, Chris Bregler
MMSys'21 Grand Challenge on Detecting Cheapfakes. CoRR (2021)
Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Cathal Gurrin, Minh-Triet Tran, Thanh-Binh Nguyen
ICDAR'21: Intelligent Cross-Data Analysis and Retrieval. ICMR (2021)
Joakim Olav Valand, Haris Kadragic, Steven Alexander Hicks, Vajira Lasantha Thambawita, Cise Midoglu, Tomas Kupka, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen
AI-Based Video Clipping of Soccer Events. Mach. Learn. Knowl. Extr. 3 (4) (2021)
Aril Bernhard Ovesen, Tor-Arne Schmidt Nordmo, Håvard Dagenborg Johansen, Michael Alexander Riegler, Pål Halvorsen, Dag Johansen
File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments. Inf. 12 (10) (2021)
Henrik Svoren, Vajira Thambawita, Pål Halvorsen, Petter Jakobsen, Enrique Garcia-Ceja, Farzan Majeed Noori, Hugo Lewi Hammer, Mathias Lux, Michael Alexander Riegler, Steven Alexander Hicks
Toadstool: a dataset for training emotional intelligent machines playing Super Mario Bros. MMSys (2020)
Vajira Thambawita, Steven Alexander Hicks, Hanna Borgli, Håkon Kvale Stensland, Debesh Jha, Martin Kristoffer Svensen, Svein Arne Pettersen, Dag Johansen, Håvard Dagenborg Johansen, Susann Dahl Pettersen, Simon Nordvang, Sigurd Pedersen, Anders T. Gjerdrum, Tor-Morten Grønli, Per Morten Fredriksen, Ragnhild Eg, Kjeld Hansen, Siri Fagernes, Christine Claudi, Andreas Biørn-Hansen, Duc-Tien Dang-Nguyen, Tomas Kupka, Hugo Lewi Hammer, Ramesh Jain, Michael Alexander Riegler, Pål Halvorsen
PMData: a sports logging dataset. MMSys (2020)
Enrique Garcia-Ceja, Brice Morin, Anton Aguilar-Rivera, Michael Alexander Riegler
A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data. J. Medical Syst. 44 (10) (2020)
Petter Jakobsen, Enrique Garcia-Ceja, Lena Antonsen Stabell, Ketil J. Oedegaard, Jan Oystein Berle, Vajira Thambawita, Steven Alexander Hicks, Pål Halvorsen, Ole Bernt Fasmer, Michael Alexander Riegler
PSYKOSE: A Motor Activity Database of Patients with Schizophrenia. CBMS (2020)
Pål Halvorsen, Michael Alexander Riegler, Klaus Schoeffmann
Medical Multimedia Systems and Applications. ACM Multimedia (2019)
Rune Johan Borgli, Håkon Kvale Stensland, Michael Alexander Riegler, Pål Halvorsen
Automatic Hyperparameter Optimization for Transfer Learning on Medical Image Datasets Using Bayesian Optimization. ISMICT (2019)
Mathias Kirkerød, Rune Johan Borgli, Vajira Thambawita, Steven Alexander Hicks, Michael Alexander Riegler, Pål Halvorsen
Unsupervised preprocessing to improve generalisation for medical image classification. ISMICT (2019)
Rune Johan Borgli, Håkon Kvale Stensland, Pål Halvorsen, Michael Alexander Riegler
Saga: An Open Source Platform for Training Machine Learning Models and Community-driven Sharing of Techniques. CBMI (2019)
Edvarda Eriksen, Steven Alexander Hicks, Michael Alexander Riegler, Pål Halvorsen, Valentina Carapella
A Web-Based Software for Training and Quality Assessment in the Image Analysis Workflow for Cardiac T1 Mapping MRI. ISM (2019)
Joakim Ihle Frogner, Farzan Majeed Noori, Pål Halvorsen, Steven Alexander Hicks, Enrique Garcia-Ceja, Jim Tørresen, Michael Alexander Riegler
One-Dimensional Convolutional Neural Networks on Motor Activity Measurements in Detection of Depression. HealthMedia@MM (2019)
Fredrik Lund Henriksen, Rune Jensen, Håkon Kvale Stensland, Dag Johansen, Michael Alexander Riegler, Pål Halvorsen
Performance of Data Enhancements and Training Optimization for Neural Network: A Polyp Detection Case Study. CBMS (2019)