Håkan Grahn - RankMe

97 papers A* 1A 2B 10C 11Misc 1Journal 33Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Different Hallucinations calls for Different Solutions - A Categorisation of LLM Transcription Mistakes. SAIS Nemi Pelgrom, Håkan Grahn
2025	—	`conf`	Evaluating Short Forward Error Correction Codes for Avoiding Detection in Airborne Networks. ICMCIS Lars Lundberg, Alexander Westerhagen, Dragos Ilie, Håkan Grahn, Bo Granbom, Anna Svärd Olsson
2025	J	`jnl`	On Evaluation of Data Stream Clustering Algorithms: A Survey. IEEE Access Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz
2025	—	`conf`	Using Transformers for B2B Contractual Churn Prediction Based on Customer Behavior Data. ICEIS (1) Jim Ahlstrand, Anton Borg, Håkan Grahn, Martin Boldt
2024	—	`conf`	A Comparative Study on Simulation Frameworks for AI Accelerator Evaluation. IPDPS (Workshops) Christoffer Åleskog, Håkan Grahn, Anton Borg
2024	—	`conf`	Dynamic Forward Error Correction Coding to Avoid Detection in Airborne Tactical Networks. ICMCIS Lars Lundberg, Alexander Westerhagen, Dragos Ilie, Håkan Grahn, Bo Granbom
2024	—	`conf`	Predicting B2B Customer Churn using a Time Series Approach. IDSTA Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn
2023	—	`ed.`	35th Annual Workshop of the Swedish Artificial Intelligence Society, SAIS 2023, Karlskrona, Sweden, June 12-13, 2023 SAIS Håkan Grahn, Anton Borg, Martin Boldt
2023	J	`jnl`	Avoiding Detection by Hostile Nodes in Airborne Tactical Networks. Future Internet Dragos Ilie, Håkan Grahn, Lars Lundberg, Alexander Westerhagen, Bo Granbom, Anders Höök
2023	—	`conf`	HINTS: Human-Centered Intelligent Realities. SAIS Veronica Sundstedt, Veselka Boeva, Hans-Jürgen Zepernick, Prashant Goswami, Abbas Cheddad, Kurt Tutschku, Håkan Grahn, Emiliano Casalicchio, Markus Fiedler, Emilia Mendes, Shahrooz Abghari, Yan Hu, Valeria Garro, Thi My Chinh Chu, Lars Lundberg, Patrik Arlos
2023	—	`conf`	MultiStream EvolveCluster. Canadian AI Christian Nordahl, Veselka Boeva, Håkan Grahn
2023	—	`conf`	Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles. SAIS Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn
2022	J	`jnl`	EvolveCluster: an evolutionary clustering algorithm for streaming data. Evol. Syst. Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz
2022	J	`jnl`	Recent Developments in Low-Power AI Accelerators: A Survey. Algorithms Christoffer Åleskog, Håkan Grahn, Anton Borg
2022	J	`jnl`	Research Trends, Enabling Technologies and Application Areas for Big Data. Algorithms Lars Lundberg, Håkan Grahn
2021	J	`jnl`	Blind Correction of Lateral Chromatic Aberration in Raw Bayer Data. IEEE Access Stefan Petersson, Håkan Grahn, Jim Rasmusson
2021	J	`jnl`	Editorial to the Special Issue on Big Data in Industrial and Commercial Applications. Big Data Res. Lars Lundberg, Håkan Grahn, Valeria Cardellini, Andreas Polze, Sogand Shirinbab
2021	J	`jnl`	Energy-aware very fast decision tree. Int. J. Data Sci. Anal. Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2020	J	`jnl`	ARDIS: a Swedish historical handwritten digit dataset. Neural Comput. Appl. Huseyin Kusetogullari, Amir Yavariabdi, Abbas Cheddad, Håkan Grahn, Johan Hall
2020	C	`conf`	Multi-view Clustering Analyses for District Heating Substations. DATA Shahrooz Abghari, Veselka Boeva, Jens Brage, Håkan Grahn
2020	B	`conf`	Representative Image Selection for Data Efficient Word Spotting. DAS Florian Westphal, Håkan Grahn, Niklas Lavesson
2019	C	`conf`	A Case for Guided Machine Learning. CD-MAKE Florian Westphal, Niklas Lavesson, Håkan Grahn
2019	J	`jnl`	Estimation of energy consumption in machine learning. J. Parallel Distributed Comput. Eva García-Martín, Crefeda Faviola Rodrigues, Graham D. Riley, Håkan Grahn
2019	—	`ch.`	Finding a Healthy Equilibrium of Geo-demographic Segments for a Telecom Business: Who Are Malicious Hot-Spotters? Machine Learning Paradigms Julia Sidorova, Oliver Rosander, Lars Sköld, Håkan Grahn, Lars Lundberg
2019	B	`conf`	Higher Order Mining for Monitoring District Heating Substations. DSAA Shahrooz Abghari, Veselka Boeva, Jens Brage, Christian Johansson, Håkan Grahn, Niklas Lavesson
2019	A	`conf`	Learning Character Recognition with Graph-Based Privileged Information. ICDAR Florian Westphal, Niklas Lavesson, Håkan Grahn
2019	—	`conf`	Profiling of Household Residents' Electricity Consumption Behavior Using Clustering Analysis. ICCS (5) Christian Nordahl, Veselka Boeva, Håkan Grahn, Marie Persson Netz
2018	C	`conf`	A Minimum Spanning Tree Clustering Approach for Outlier Detection in Event Sequences. ICMLA Shahrooz Abghari, Veselka Boeva, Niklas Lavesson, Håkan Grahn, Selim Ickin, Jörgen Gustafsson
2018	J	`jnl`	Comparing Two Generations of Embedded GPUs Running a Feature Detection Algorithm. CoRR Max Danielsson, Håkan Grahn, Thomas Sievert, Jim Rasmusson
2018	B	`conf`	Document Image Binarization Using Recurrent Neural Networks. DAS Florian Westphal, Niklas Lavesson, Håkan Grahn
2018	J	`jnl`	Efficient document image binarization using heterogeneous computing and parameter tuning. Int. J. Document Anal. Recognit. Florian Westphal, Håkan Grahn, Niklas Lavesson
2018	B	`conf`	Hoeffding Trees with Nmin Adaptation. DSAA Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2018	J	`jnl`	Hoeffding Trees with nmin adaptation. CoRR Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2018	—	`conf`	How to Measure Energy Consumption in Machine Learning Algorithms. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Eva García-Martín, Niklas Lavesson, Håkan Grahn, Emiliano Casalicchio, Veselka Boeva
2018	—	`conf`	User Feedback and Uncertainty in User Guided Binarization. ICDM Workshops Florian Westphal, Håkan Grahn, Niklas Lavesson
2017	J	`jnl`	Combining thread-level speculation and just-in-time compilation in Google's V8 JavaScript engine. Concurr. Comput. Pract. Exp. Jan Kasper Martinsen, Håkan Grahn, Anders Isberg
2017	—	`conf`	Detection of Residents' Abnormal Behaviour by Analysing Energy Consumption of Individual Households. ICDM Workshops Christian Nordahl, Marie Persson, Håkan Grahn
2017	—	`conf`	Energy Efficiency in Machine Learning: A position paper. SAIS Eva García Martín, Niklas Lavesson, Håkan Grahn, Veselka Boeva
2017	C	`conf`	Identification of Energy Hotspots: A Case Study of the Very Fast Decision Tree. GPC Eva García Martín, Niklas Lavesson, Håkan Grahn
2017	C	`conf`	Object recognition using shape growth pattern. ISPA Abbas Cheddad, Huseyin Kusetogullari, Håkan Grahn
2017	—	`conf`	Recommendations for marketing campaigns in telecommunication business based on the footprint analysis: Who is a good client? IISA Julia Sidorova, Lars Lundberg, Oliver Rosander, Håkan Grahn, Lars Skold
2016	C	`conf`	Color Demosaicing Using Structural Instability. ISM Stefan Petersson, Håkan Grahn, Jim Rasmusson
2016	C	`conf`	Feature Detection and Description using a Harris-Hessian/FREAK Combination on an Embedded GPU. ICPRAM Max Danielsson, Thomas Sievert, Håkan Grahn, Jim Rasmusson
2016	—	`conf`	Handwriting image enhancement using local learning windowing, Gaussian Mixture Model and k-means clustering. ISSPIT Huseyin Kusetogullari, Håkan Grahn, Niklas Lavesson
2015	B	`conf`	Accelerating Graphics in the Simics Full-System Simulator. MASCOTS Eric Nilsson, Daniel Aarno, Erik Carstensen, Håkan Grahn
2015	—	`conf`	Cache Support in a High Performance Fault-Tolerant Distributed Storage System for Cloud and Big Data. IPDPS Workshops Lars Lundberg, Håkan Grahn, Dragos Ilie, Christian Melander
2015	B	`conf`	Energy Efficiency in Data Stream Mining. ASONAM Eva García Martín, Niklas Lavesson, Håkan Grahn
2014	—	`conf`	An argument for thread-level speculation and just-in-time compilation in the Google's V8 JavaScript engine. Conf. Computing Frontiers Jan Kasper Martinsen, Håkan Grahn, Anders Isberg
2014	J	`jnl`	Heuristics for Thread-Level Speculation in Web Applications. IEEE Comput. Archit. Lett. Jan Kasper Martinsen, Håkan Grahn, Anders Isberg
2014	Misc	`conf`	Improving image quality by SSIM based increase of run-length zeros in GPGPU JPEG encoding. ACSSC Stefan Petersson, Håkan Grahn
2014	—	`conf`	Reducing Memory in Software-Based Thread-Level Speculation for JavaScript Virtual Machine Execution of Web Applications. HPCC/CSS/ICESS Jan Kasper Martinsen, Håkan Grahn, Anders Isberg, Henrik Sundstrom
2014	J	`jnl`	The Effects of Parameter Tuning in Software Thread-Level Speculation in JavaScript Engines. ACM Trans. Archit. Code Optim. Jan Kasper Martinsen, Håkan Grahn, Anders Isberg
2013	—	`conf`	Compressing video based on region of interest. EUROCON Hussein Muzahim Aziz, Markus Fiedler, Håkan Grahn, Lars Lundberg
2013	J	`jnl`	Using Speculation to Enhance JavaScript Performance in Web Applications. IEEE Internet Comput. Jan Kasper Martinsen, Håkan Grahn, Anders Isberg
2012	C	`conf`	A Parallel Heuristic for Fast Train Dispatching during Railway Traffic Disturbances: Early Results. ICORES Syed Muhammad Zeeshan Iqbal, Håkan Grahn, Johanna Törnquist Krasemann
2012	—	`conf`	Adapting the Streaming Video Based on the Estimated Position of the Region of Interest. SITIS Hussein Muzahim Aziz, Markus Fiedler, Håkan Grahn, Lars Lundberg
2012	J	`jnl`	Eliminating the effect of freezing frames on user perceptive by using a time interleaving technique. Multim. Syst. Hussein Muzahim Aziz, Markus Fiedler, Håkan Grahn, Lars Lundberg
2012	J	`jnl`	The Success Factors Powering Industry-Academia Collaboration. IEEE Softw. Claes Wohlin, Aybüke Aurum, Lefteris Angelis, Laura Phillips, Yvonne Dittrich, Tony Gorschek, Håkan Grahn, Kennet Henningsson, Simon Kågström, Graham Low, Per Rovegard, Piotr Tomaszewski, Christine Van Toorn, Jeff Winter
2011	B	`conf`	A Comparative Evaluation of JavaScript Execution Behavior. ICWE Jan Kasper Martinsen, Håkan Grahn, Anders Isberg
2011	C	`conf`	A methodology for evaluating JavaScript execution behavior in interactive web applications. AICCSA Jan Kasper Martinsen, Håkan Grahn
2011	C	`conf`	CudaRF: A CUDA-based implementation of Random Forests. AICCSA Håkan Grahn, Niklas Lavesson, Mikael Hellborg Lapajne, Daniel Slat
2011	—	`conf`	Thread-level speculation as an optimization technique in Web Applications - Initial results. SIES Jan Kasper Martinsen, Håkan Grahn
2011	—	`conf`	Towards an efficient approach for resource sharing in real-time multiprocessor systems. SIES Moris Behnam, Farhang Nemati, Thomas Nolte, Håkan Grahn
2010	J	`jnl`	Acknowledgment to special issue reviewers. J. Parallel Distributed Comput. Håkan Grahn
2010	J	`jnl`	ParMiBench - An Open-Source Benchmark for Embedded Multiprocessor Systems. IEEE Comput. Archit. Lett. Syed Muhammad Zeeshan Iqbal, Yuchen Liang, Håkan Grahn
2010	—	`conf`	Streaming video as space - divided sub-frames over wireless networks. WMNC Hussein Muzahim Aziz, Markus Fiedler, Håkan Grahn, Lars Lundberg
2010	J	`jnl`	Transactional memory. J. Parallel Distributed Comput. Håkan Grahn
2009	—	`conf`	Eliminating the freezing frames for the mobile user over unreliable wireless networks. Mobility Conference Hussein Muzahim Aziz, Håkan Grahn, Lars Lundberg
2009	J	`jnl`	Special Issue of the Journal of Parallel and Distributed Computing: Transactional Memory. J. Parallel Distributed Comput. Håkan Grahn
2009	J	`jnl`	The Design and Implementation of Multiprocessor Support for an Industrial Operating System Kernel. Int. J. Comput. Their Appl. Simon Kågström, Håkan Grahn, Lars Lundberg
2008	—	`conf`	Tracking Data Structures Coherency in Animated Ray Tracing: Kalman and Wiener Filters Approach. ISVC (1) Sajid Hussain, Håkan Grahn
2007	B	`conf`	Cibyl: an environment for language diversity on mobile devices. VEE Simon Kågström, Håkan Grahn, Lars Lundberg
2007	—	`conf`	Fast ISVC (2) Sajid Hussain, Håkan Grahn
2007	J	`jnl`	Improving Fault Detection in Modified Code - A Study from the Telecommunication Industry. J. Comput. Sci. Technol. Piotr Tomaszewski, Lars Lundberg, Håkan Grahn
2007	J	`jnl`	Statistical models vs. expert estimation for fault prediction in modified code - an industrial case study. J. Syst. Softw. Piotr Tomaszewski, Jim Håkansson, Håkan Grahn, Lars Lundberg
2006	—	`conf`	A Method for an Accurate Early Prediction of Faults in Modified Classes. ICSM Piotr Tomaszewski, Håkan Grahn, Lars Lundberg
2006	—	`conf`	The Accuracy of Fault Prediction in Modified Code - Statistical Model vs. Expert Estimation. ECBS Piotr Tomaszewski, Jim Håkansson, Lars Lundberg, Håkan Grahn
2006	J	`jnl`	The application kernel approach - a novel approach for adding SMP support to uniprocessor operating systems. Softw. Pract. Exp. Simon Kågström, Håkan Grahn, Lars Lundberg
2005	—	`conf`	Automatic low overhead program instrumentation with the LOPI framework. Interaction between Compilers and Computer Architectures Simon Kågström, Håkan Grahn, Lars Lundberg
2005	B	`conf`	Evaluating Software Quality Attributes of Communication Components in an Automated Guided Vehicle System. ICECCS Frans Mårtensson, Håkan Grahn, Michael Mattsson
2005	B	`conf`	Experiences from Implementing Multiprocessor Support for an Industrial Operating System Kernel. RTCSA Simon Kågström, Håkan Grahn, Lars Lundberg
2005	C	`conf`	Increasing the Efficiency of Fault Detection in Modified Code. APSEC Piotr Tomaszewski, Lars Lundberg, Håkan Grahn
2004	A	`conf`	A Novel Method for Adding Multiprocessor Support to a Large and Complex Uniprocessor Kernel. IPDPS Simon Kågström, Lars Lundberg, Håkan Grahn
2004	J	`jnl`	A comparative evaluation of hardware-only and software-only directory protocols in shared-memory multiprocessors. J. Syst. Archit. Håkan Grahn, Per Stenström
2001	—	`conf`	A Tool for Binding Threads to Processors. Euro-Par Magnus Broberg, Lars Lundberg, Håkan Grahn
2001	—	`conf`	An Allocation Strategy Using Shadow-processors and Simulation Technique. PDCS Magnus Broberg, Lars Lundberg, Håkan Grahn
2001	J	`jnl`	Performance Optimization Using Extended Critical Path Analysis in Multithreaded Programs on Multiprocessors. J. Parallel Distributed Comput. Magnus Broberg, Lars Lundberg, Håkan Grahn
2000	J	`jnl`	Comparative Evaluation of Latency-Tolerating and -Reducing Techniques for Hardware-Only and Software-Only Directory Protocols. J. Parallel Distributed Comput. Håkan Grahn, Per Stenström
1999	—	`conf`	Visualization and Performance Prediction of Multithreaded Solaris Programs by Tracing Kernel Threads. IPPS/SPDP Magnus Broberg, Lars Lundberg, Håkan Grahn
1998	—	`conf`	SimICS/Sun4m: A Virtual Workstation. USENIX ATC Peter S. Magnusson, Fredrik Larsson, Andreas Moestedt, Bengt Werner, Jim Nilsson, Per Stenström, Fredrik Lundholm, Magnus Karlsson, Fredrik Dahlgren, Håkan Grahn
1998	—	`conf`	Some initial performance characteristics of three architectural styles. WOSP Håkan Grahn, Jan Bosch
1998	—	`conf`	VPPB - A Visualization and Performance Prediction Tool for Multithreaded Solaris Programs. IPPS/SPDP Magnus Broberg, Lars Lundberg, Håkan Grahn
1997	J	`jnl`	Boosting the Performance of Shared Memory Multiprocessors. Computer Per Stenström, Mats Brorsson, Fredrik Dahlgren, Håkan Grahn, Michel Dubois
1997	—	`conf`	Relative Performance of Hardware and Software-Only Directory Protocols Under Latency Tolerating and Reducing Techniques. IPPS Håkan Grahn, Per Stenström
1996	J	`jnl`	Evaluation of a Competitive-Update Cache Coherence Protocol with Migratory Data Detection. J. Parallel Distributed Comput. Håkan Grahn, Per Stenström
1995	A*	`conf`	Efficient Strategies for Software-Only Protocols in Shared-Memory Multiprocessors. ISCA Håkan Grahn, Per Stenström
1995	J	`jnl`	Implementation and evaluation of update-based cache protocols under relaxed memory consistency models. Future Gener. Comput. Syst. Håkan Grahn, Per Stenström, Michel Dubois