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2020 – today
- 2024
[j17]Mohsin Khan
, Håvard D. Johansen, Dag Johansen:
Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor. Future Internet 16(8): 261 (2024)- [j16]Stefan Kutschera, Wolfgang Slany, Patrick Ratschiller, Sarina Gursch, Patrick Deininger, Håvard D. Johansen:
Incidental Data: A Survey towards Awareness on Privacy-Compromising Data Incidentally Shared on Social Media. J. Cybersecur. Priv. 4(1): 105-125 (2024) - [c57]Enrico Tedeschi, Øyvind Arne Moen Nohr, Håvard D. Johansen, Dag Johansen:
Mining Profitability in Bitcoin: Calculations of User-Miner Equilibria and Cost of Mining. DAIS 2024: 62-76 - 2023
- [j15]Stefan Kutschera, Wolfgang Slany, Patrick Ratschiller, Sarina Gursch, Håvard Dagenborg Johansen:
MRNG: Accessing Cosmic Radiation as an Entropy Source for a Non-Deterministic Random Number Generator. Entropy 25(6): 854 (2023) - [j14]Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9375-9388 (2023) - [c56]Areeg Samir, Håvard Dagenborg Johansen:
Self-Healing Misconfiguration of Cloud-Based IoT Systems Using Markov Decision Processes. CLOSER 2023: 244-252 - [c55]Areeg Samir, Abdo Ali A. Al-Wosabi, Mohsin Khan, Håvard D. Johansen:
A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices. ESOCC 2023: 153-169 - [c54]Areeg Samir, Håvard D. Johansen:
Adaptive Controller to Identify Misconfigurations and Optimize the Performance of Kubernetes Clusters and IoT Edge Devices. ESOCC 2023: 170-187 - [c53]Areeg Samir, Håvard Dagenborg Johansen:
A Self-Configuration Controller To Detect, Identify, and Recover Misconfiguration at IoT Edge Devices and Containerized Cluster System. ICISSP 2023: 765-773 - [c52]Tor-Arne S. Nordmo, Michael A. Riegler, Håvard D. Johansen, Dag Johansen:
Arctic HARE: A Machine Learning-Based System for Performance Analysis of Cross-Country Skiers. MMM (1) 2023: 553-564 - [c51]Aakash Sharma, Katja Pauline Czerwinska, Dag Johansen, Håvard D. Johansen:
Capturing Nutrition Data for Sports: Challenges and Ethical Issues. MMM (1) 2023: 601-612 - 2022
- [j13]Lars Brenna, Isak Sunde Singh, Håvard Dagenborg Johansen, Dag Johansen:
TFHE-rs: A library for safe and secure remote computing using fully homomorphic encryption and trusted execution environments. Array 13: 100118 (2022) - [j12]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): 68 (2022) - [j11]Pietro Randine, Aakash Sharma, Gunnar Hartvigsen, Håvard D. Johansen, Eirik Årsand:
Information and communication technology-based interventions for chronic diseases consultation: Scoping review. Int. J. Medical Informatics 163: 104784 (2022) - [j10]Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. IEEE J. Biomed. Health Informatics 26(5): 2252-2263 (2022) - [j9]Enrico Tedeschi, Tor-Arne S. Nordmo, Dag Johansen, Håvard D. Johansen:
On Optimizing Transaction Fees in Bitcoin using AI: Investigation on Miners Inclusion Pattern. ACM Trans. Internet Techn. 22(3): 77:1-77:28 (2022) - [c50]Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci:
Video Analytics in Elite Soccer: A Distributed Computing Perspective. SAM 2022: 221-225 - [c49]Tor-Arne S. Nordmo, Aril B. Ovesen, Håvard D. Johansen, Dag Johansen, Michael Riegler:
NjordVid: A Fishing Trawler Video Analytics Task. MediaEval 2022 - [c48]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: 197-202 - [i18]Debesh Jha, Ashish Rauniyar, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen, Ulas Bagci:
Video Analytics in Elite Soccer: A Distributed Computing Perspective. CoRR abs/2206.11335 (2022) - 2021
- [j8]Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen:
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning. IEEE Access 9: 40496-40510 (2021) - [j7]Aakash Sharma, Thomas Bye Nilsen, Katja Pauline Czerwinska, Daria Onitiu, Lars Brenna, Dag Johansen, Håvard D. Johansen:
Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies. Frontiers Big Data 4: 624424 (2021) - [j6]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): 430 (2021) - [j5]Debesh Jha, Sharib Ali, Steven Alexander Hicks, Vajira Thambawita, Hanna Borgli, Pia H. Smedsrud, Thomas de Lange, Konstantin Pogorelov, Xiaowei Wang, Philipp Harzig, Minh-Triet Tran, Wenhua Meng, Trung-Hieu Hoang, Danielle Dias, Tobey H. Ko, Taruna Agrawal, Olga Ostroukhova, Zeshan Khan, Muhammad Atif Tahir, Yang Liu, Yuan Chang, Mathias Kirkerød, Dag Johansen, Mathias Lux, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen:
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging. Medical Image Anal. 70: 102007 (2021) - [j4]Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler:
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation. IEEE J. Biomed. Health Informatics 25(6): 2029-2040 (2021) - [c47]Debesh Jha, Sharib Ali, Nikhil Kumar Tomar, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. BHI 2021: 1-4 - [c46]Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen:
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CBMS 2021: 37-43 - [c45]Aakash Sharma, Thomas Bye Nilsen, Sivert Johansen, Dag Johansen, Håvard D. Johansen:
Designing a Service for Compliant Sharing of Sensitive Research Data. CRiSIS 2021: 155-161 - [c44]Tor-Arne S. Nordmo, Aril B. Ovesen, Håvard D. Johansen, Michael A. Riegler, Pål Halvorsen, Dag Johansen:
Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner. ICDAR@ICMR 2021: 57-61 - [c43]Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen:
Kvasir-Instrument: Diagnostic and Therapeutic Tool Segmentation Dataset in Gastrointestinal Endoscopy. MMM (2) 2021: 218-229 - [i17]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. CoRR abs/2101.02268 (2021) - [i16]Nikhil Kumar Tomar, Debesh Jha, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Pål Halvorsen, Sharib Ali:
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation. CoRR abs/2103.17235 (2021) - [i15]Debesh Jha, Nikhil Kumar Tomar, Sharib Ali, Michael A. Riegler, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Pål Halvorsen:
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy. CoRR abs/2104.11138 (2021) - [i14]Abhishek Srivastava, Debesh Jha, Sukalpa Chanda, Umapada Pal, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Sharib Ali, Pål Halvorsen:
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation. CoRR abs/2105.07451 (2021) - [i13]Debesh Jha, Sharib Ali, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy. CoRR abs/2107.02319 (2021) - [i12]Debesh Jha, Pia H. Smedsrud, Dag Johansen, Thomas de Lange, Håvard D. Johansen, Pål Halvorsen, Michael A. Riegler:
A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation. CoRR abs/2107.12435 (2021) - 2020
- [j3]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification. ACM Trans. Comput. Heal. 1(3): 17:1-17:29 (2020) - [c42]Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CBMS 2020: 558-564 - [c41]Håvard D. Johansen, Dag Johansen, Tomas Kupka, Michael A. Riegler, Pål Halvorsen:
Scalable Infrastructure for Efficient Real-Time Sports Analytics. ICMI Companion 2020: 230-234 - [c40]Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. ICPR Workshops (8) 2020: 307-314 - [c39]Debesh Jha, Steven Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. MediaEval 2020 - [c38]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen:
Kvasir-SEG: A Segmented Polyp Dataset. MMM (2) 2020: 451-462 - [c37]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 C. Jain, Michael Alexander Riegler, Pål Halvorsen:
PMData: a sports logging dataset. MMSys 2020: 231-236 - [c36]Debesh Jha, Anis Yazidi, Michael A. Riegler, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification. PDCAT 2020: 285-296 - [i11]Vajira Thambawita, Debesh Jha, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen, Pål Halvorsen, Michael A. Riegler:
An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification. CoRR abs/2005.03912 (2020) - [i10]Debesh Jha, Michael A. Riegler, Dag Johansen, Pål Halvorsen, Håvard D. Johansen:
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation. CoRR abs/2006.04868 (2020) - [i9]Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Jens Rittscher, Michael A. Riegler, Pål Halvorsen:
Real-Time Polyp Detection, Localisation and Segmentation in Colonoscopy Using Deep Learning. CoRR abs/2011.07631 (2020) - [i8]Debesh Jha, Sharib Ali, Krister Emanuelsen, Steven Alexander Hicks, Vajira Thambawita, Enrique Garcia-Ceja, Michael A. Riegler, Thomas de Lange, Peter Thelin Schmidt, Håvard D. Johansen, Dag Johansen, Pål Halvorsen:
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy. CoRR abs/2011.08065 (2020) - [i7]Debesh Jha, Steven Alexander Hicks, Krister Emanuelsen, Håvard D. Johansen, Dag Johansen, Thomas de Lange, Michael A. Riegler, Pål Halvorsen:
Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation. CoRR abs/2012.15244 (2020) - [i6]Nikhil Kumar Tomar, Debesh Jha, Sharib Ali, Håvard D. Johansen, Dag Johansen, Michael A. Riegler, Pål Halvorsen:
DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation. CoRR abs/2012.15245 (2020)
2010 – 2019
- 2019
- [c35]Enrico Tedeschi, Tor-Arne S. Nordmo, Dag Johansen, Håvard D. Johansen:
Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains. IEEE BigData 2019: 4223-4231 - [c34]Kim Andreassen, Dag Johansen, Håvard D. Johansen, Ivan Baptista, Svein Arne Pettersen, Michael Riegler, Pål Halvorsen:
Real-time Analysis of Physical Performance Parameters in Elite Soccer. CBMI 2019: 1-6 - [c33]Theodor Wiik, Håvard D. Johansen, Svein Arne Pettersen, Ivan Baptista, Tomas Kupka, Dag Johansen, Michael Riegler, Pål Halvorsen:
Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks. CBMI 2019: 1-6 - [c32]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen:
ResUNet++: An Advanced Architecture for Medical Image Segmentation. ISM 2019: 225-230 - [c31]Anders Tungeland Gjerdrum, Håvard Dagenborg Johansen, Lars Brenna, Dag Johansen:
Diggi: A Secure Framework for Hosting Native Cloud Functions with Minimal Trust. TPS-ISA 2019: 18-27 - [i5]Lars Brenna, Håvard D. Johansen, Dag Johansen:
A Survey of Automatic Methods for Nutritional Assessment. CoRR abs/1907.07245 (2019) - [i4]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Dag Johansen, Thomas de Lange, Pål Halvorsen, Håvard D. Johansen:
ResUNet++: An Advanced Architecture for Medical Image Segmentation. CoRR abs/1911.07067 (2019) - [i3]Debesh Jha, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, Håvard D. Johansen:
Kvasir-SEG: A Segmented Polyp Dataset. CoRR abs/1911.07069 (2019) - 2018
- [c30]Enrico Tedeschi, Håvard D. Johansen, Dag Johansen:
Trading Network Performance for Cash in the Bitcoin Blockchain. CLOSER 2018: 643-650 - [c29]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract Using Global Features and Deep Learning. MediaEval 2018 - [c28]Eleanor Birrell, Anders T. Gjerdrum, Robbert van Renesse, Håvard D. Johansen, Dag Johansen, Fred B. Schneider:
SGX Enforcement of Use-Based Privacy. WPES@CCS 2018: 155-167 - [p1]Vamsidhar Reddy Gaddam, Ragnar Langseth, Håkon Kvale Stensland, Carsten Griwodz, Michael Riegler, Tomas Kupka, Håvard Espeland, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Camera Synchronization for Panoramic Videos. MediaSync, Handbook on Multimedia Synchronization 2018: 565-592 - [i2]Vajira Thambawita, Debesh Jha, Michael Riegler, Pål Halvorsen, Hugo Lewi Hammer, Håvard D. Johansen, Dag Johansen:
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. CoRR abs/1810.13278 (2018) - 2017
- [c27]Anders T. Gjerdrum, Robert Pettersen, Håvard D. Johansen, Dag Johansen:
Performance Principles for Trusted Computing with Intel SGX. CLOSER (Selected Papers) 2017: 1-18 - [c26]Anders T. Gjerdrum, Robert Pettersen, Håvard D. Johansen, Dag Johansen:
Performance of Trusted Computing in Cloud Infrastructures with Intel SGX. CLOSER 2017: 668-675 - [c25]Magnus Stenhaug, Håvard D. Johansen, Dag Johansen:
Managing Personalized Cross-cloud Storage Systems with Meta-code. CLOSER 2017: 694-700 - [c24]Robert Pettersen, Håvard D. Johansen, Dag Johansen:
Secure Edge Computing with ARM TrustZone. IoTBDS 2017: 102-109 - 2016
- [c23]Magnus Stenhaug, Håvard D. Johansen, Dag Johansen:
Transforming Healthcare through Life-Long Personal Digital Footprints. CHASE 2016: 36-41 - [c22]Anders T. Gjerdrum, Håvard D. Johansen, Dag Johansen:
Implementing Informed Consent as Information-Flow Policies for Secure Analytics on eHealth Data: Principles and Practices. CHASE 2016: 107-112 - [c21]Steffen Viken Valvåg, Robert Pettersen, Håvard D. Johansen, Dag Johansen:
LADY: Dynamic Resolution of Assemblies for Extensible and Distributed .NET Applications. CLOSER (2) 2016: 118-128 - [c20]Robert Pettersen, Håvard D. Johansen, Steffen Viken Valvåg, Dag Johansen:
Dynamically Loading Mobile/Cloud Assemblies. CLOSER (Selected Papers) 2016: 170-186 - [c19]Michael Riegler, Mathias Lux, Carsten Griwodz, Concetto Spampinato, Thomas de Lange, Sigrun Losada Eskeland, Konstantin Pogorelov, Wallapak Tavanapong, Peter Thelin Schmidt, Cathal Gurrin, Dag Johansen, Håvard D. Johansen, Pål Halvorsen:
Multimedia and Medicine: Teammates for Better Disease Detection and Survival. ACM Multimedia 2016: 968-977 - [c18]Cathal Gurrin, Xavier Giró-i-Nieto, Petia Radeva, Mariella Dimiccoli, Håvard D. Johansen, Hideo Joho, Vivek K. Singh:
LTA 2016: The First Workshop on Lifelogging Tools and Applications. ACM Multimedia 2016: 1487-1488 - [e3]Cathal Gurrin, Xavier Giró-i-Nieto, Petia Radeva, Hideo Joho, Håvard D. Johansen, Vivek K. Singh, Mariella Dimiccoli:
Proceedings of the first Workshop on Lifelogging Tools and Applications, LTA@MM 2016, Amsterdam, Netherlands, October 15 - 19, 2016. ACM 2016, ISBN 978-1-4503-4517-0 [contents] - 2015
- [j2]Håvard D. Johansen, Robbert van Renesse, Ymir Vigfusson, Dag Johansen:
Fireflies: A Secure and Scalable Membership and Gossip Service. ACM Trans. Comput. Syst. 33(2): 5:1-5:32 (2015) - [c17]Håvard D. Johansen, Eleanor Birrell, Robbert van Renesse, Fred B. Schneider, Magnus Stenhaug, Dag Johansen:
Enforcing Privacy Policies with Meta-Code. APSys 2015: 16:1-16:7 - [c16]Håvard D. Johansen, Cathal Gurrin, Dag Johansen:
Towards Consent-Based Lifelogging in Sport Analytic. MMM (2) 2015: 335-344 - 2014
- [c15]Håvard D. Johansen, Wei Zhang, Joseph Hurley, Dag Johansen:
Management of body-sensor data in sports analytic with operative consent. ISSNIP 2014: 1-6 - [c14]Svein Arne Pettersen, Dag Johansen, Håvard D. Johansen, Vegard Berg-Johansen, Vamsidhar Reddy Gaddam, Asgeir Mortensen, Ragnar Langseth, Carsten Griwodz, Håkon Kvale Stensland, Pål Halvorsen:
Soccer video and player position dataset. MMSys 2014: 18-23 - [c13]Cathal Gurrin, Håvard D. Johansen, Thomas Sødring, Dag Johansen:
Digital Chronofiles of Life Experience. SocInfo Workshops 2014: 264-273 - [e2]Cathal Gurrin, Frank Hopfgartner, Wolfgang Hürst, Håvard D. Johansen, Hyowon Lee, Noel E. O'Connor:
MultiMedia Modeling - 20th Anniversary International Conference, MMM 2014, Dublin, Ireland, January 6-10, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8325, Springer 2014, ISBN 978-3-319-04113-1 [contents] - [e1]Cathal Gurrin, Frank Hopfgartner, Wolfgang Hürst, Håvard D. Johansen, Hyowon Lee, Noel E. O'Connor:
MultiMedia Modeling - 20th Anniversary International Conference, MMM 2014, Dublin, Ireland, January 6-10, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8326, Springer 2014, ISBN 978-3-319-04116-2 [contents] - 2013
- [c12]Håvard D. Johansen, Svein Arne Pettersen, Pål Halvorsen, Dag Johansen:
Combining Video and Player Telemetry for Evidence-based Decisions in Soccer. icSPORTS 2013: 197-205 - [c11]Robbert van Renesse, Håvard D. Johansen, Nihar Naigaonkar, Dag Johansen:
Secure Abstraction with Code Capabilities. PDP 2013: 542-546 - 2012
- [j1]Dag Johansen, Pål Halvorsen, Håvard D. Johansen, Håkon Riiser, Cathal Gurrin, Bjørn Olstad, Carsten Griwodz, Åge Kvalnes, Joseph Hurley, Tomas Kupka:
Search-based composition, streaming and playback of video archive content. Multim. Tools Appl. 61(2): 419-445 (2012) - [i1]Robbert van Renesse, Håvard D. Johansen, Nihar Naigaonkar, Dag Johansen:
Secure Abstraction with Code Capabilities. CoRR abs/1210.5443 (2012) - 2010
- [c10]Dag Johansen, Håvard D. Johansen, Pål Halvorsen, Bjørn Olstad, Cathal Gurrin, Carsten Griwodz:
Composing personalized video playouts using search. ICME 2010: 1534-1539 - [c9]David Scott, Cathal Gurrin, Dag Johansen, Håvard D. Johansen:
Searching and Recommending Sports Content on Mobile Devices. MMM 2010: 779-781
2000 – 2009
- 2009
- [c8]Johan Gustav Bellika, Lars Ilebrekke, Per Atle Bakkevoll, Håvard D. Johansen, Jeremiah Scholl, Monika Alise Johansen:
Authentication and Encryption in the Snow Disease Surveillance Network. MIE 2009: 725-729 - [c7]Dag Johansen, Håvard D. Johansen, Tjalve Aarflot, Joseph Hurley, Åge Kvalnes, Cathal Gurrin, Sorin Sav, Bjørn Olstad, Erik Aaberg, Tore Endestad, Haakon Riiser, Carsten Griwodz, Pål Halvorsen:
DAVVI: a prototype for the next generation multimedia entertainment platform. ACM Multimedia 2009: 989-990 - 2008
- [c6]Håvard D. Johansen, Dag Johansen:
Resilient Software Mirroring With Untrusted Third Parties. HotSWUp 2008 - [c5]Dag Johansen, Håvard D. Johansen:
The Dynamic Enterprise Bus. ICAS 2008: 100-105 - 2007
- [c4]Håvard D. Johansen, Dag Johansen, Robbert van Renesse:
FirePatch: Secure and Time-Critical Dissemination of Software Patches. SEC 2007: 373-384 - 2006
- [c3]Håvard D. Johansen, André Allavena, Robbert van Renesse:
Fireflies: scalable support for intrusion-tolerant network overlays. EuroSys 2006: 3-13 - 2004
- [c2]Dag Johansen, Håvard D. Johansen, Robbert van Renesse:
Environment mobility: moving the desktop around. Middleware for Pervasive and Ad-hoc Computing 2004: 150-154 - 2002
- [c1]Håvard D. Johansen, Dag Johansen:
Improving Object Search Using Hints, Gossip, and Supernodes. SRDS 2002: 336-340
Coauthor Index
[j17] [c57] [j14] [c52] [c51] [j13] [j12] [j10] [j9] [c50] [c49] [c48] [i18] [j8] [j7] [j6] [j5] [j4] [c47] [c46] [c45] [c44] [c43] [i17] [i16] [i15] [i14] [i13] [i12] [j3] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [i11] [i10] [i9] [i8] [i7] [i6] [c35] [c34] [c33] [c32] [c31] [i5] [i4] [i3] [c30] [c29] [c28] [p1] [i2] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [j2] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j1] [i1] [c10] [c9] [c7] [c6] [c5] [c4] [c2] [c1]
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2025-01-20 23:03 CET by the dblp team
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