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2020 – today
- 2024
[j14]Bhanu Jain, Manfred Huber, Ramez Elmasri:
Fairness for Deep Learning Predictions Using Bias Parity Score Based Loss Function Regularization. Int. J. Artif. Intell. Tools 33(3): 2460003:1-2460003:27 (2024)- [i12]Taoran Sheng, Manfred Huber:
Consistency Based Weakly Self-Supervised Learning for Human Activity Recognition with Wearables. CoRR abs/2408.07282 (2024) - [i11]Tuan Dang, Khang Nguyen, Manfred Huber:
V3D-SLAM: Robust RGB-D SLAM in Dynamic Environments with 3D Semantic Geometry Voting. CoRR abs/2410.12068 (2024) - 2023
- [j13]Michael Robben
, Mohammad Sadegh Nasr, Avishek Das, Jai Prakash Veerla, Manfred Huber, Justyn Jaworski, Jon Weidanz, Jacob M. Luber:
Comparison of the Strengths and Weaknesses of Machine Learning Algorithms and Feature Selection on KEGG Database Microbial Gene Pathway Annotation and Its Effects on Reconstructed Network Topology. J. Comput. Biol. 30(7): 766-782 (2023) - [c96]Jillur Rahman Saurav, Mohammad Sadegh Nasr, Helen H. Shang, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber:
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. CIBCB 2023: 1-8 - [c95]Tuan Dang, Khang Nguyen, Manfred Huber:
PerFC: An Efficient 2D and 3D Perception Software-Hardware Framework for Mobile Cobot. FLAIRS 2023 - [c94]Bhanu Jain, Manfred Huber, Ramez Elmasri:
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization. FLAIRS 2023 - [c93]Mehul Vishal Sadh, Manfred Huber:
Recognition of Object Presence and Material Type in a Water Container Using High Frequency Ultrasound. FLAIRS 2023 - [c92]Subharag Sarkar, Manfred Huber:
Capturing Preferences of New Users in Generative Tasks with Minimal Interactions Collaborative Filtering Using Siamese Networks and Soft Clustering. FLAIRS 2023 - [c91]Bhaskar Trivedi, Manfred Huber:
Learning Sensor Based Risk Map Augmentation for Risk Aware UAS Operation. FLAIRS 2023 - [c90]Raghav Vadhera, Manfred Huber:
Learning Policies for Neural Network Architecture Optimization Using Reinforcement Learning. FLAIRS 2023 - [c89]Tuan Dang, Khang Nguyen, Manfred Huber:
Multiplanar Self-Calibration for Mobile Cobot 3D Object Manipulation Using 2D Detectors and Depth Estimation. IROS 2023: 1782-1788 - [c88]Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey, Parisa Boodaghi Malidarreh, Michael Robben, Jillur Rahman Saurav, Helen H. Shang, Manfred Huber, Jacob M. Luber:
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides Through Variational Autoencoder based Image Compression. ISBI 2023: 1-5 - [i10]Mohammad Sadegh Nasr, Amir Hajighasemi, Paul Koomey, Parisa Boodaghi Malidarreh, Michael Robben, Jillur Rahman Saurav, Helen H. Shang, Manfred Huber, Jacob M. Luber:
Clinically Relevant Latent Space Embedding of Cancer Histopathology Slides through Variational Autoencoder Based Image Compression. CoRR abs/2303.13332 (2023) - [i9]Tuan Dang, Khang Nguyen, Manfred Huber:
ExtPerFC: An Efficient 2D and 3D Perception Hardware-Software Framework for Mobile Cobot. CoRR abs/2306.04853 (2023) - [i8]Helen H. Shang, Mohammad Sadegh Nasr, Jai Prakash Veerla, Parisa Boodaghi Malidarreh, Jillur Rahman Saurav, Amir Hajighasemi, Manfred Huber, Chace Moleta, Jitin Makker, Jacob M. Luber:
Histopathology Slide Indexing and Search: Are We There Yet? CoRR abs/2306.17019 (2023) - [i7]Taoran Sheng, Manfred Huber:
Siamese Networks for Weakly Supervised Human Activity Recognition. CoRR abs/2307.08944 (2023) - [i6]Taoran Sheng, Manfred Huber:
Unsupervised Embedding Learning for Human Activity Recognition Using Wearable Sensor Data. CoRR abs/2307.11796 (2023) - [i5]Taoran Sheng, Manfred Huber:
Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables. CoRR abs/2308.03805 (2023) - 2022
- [j12]Cameron Dignan, Eliud Perez, Ishfaq Ahmad, Manfred Huber, Addison Clark:
An AI-based Approach for Improved Sign Language Recognition using Multiple Videos. Multim. Tools Appl. 81(24): 34525-34546 (2022) - [c87]Farnaz Farahanipad, Mohammad Sadegh Nasr, Mohammad Rezaei, Farhad Kamangar, Vassilis Athitsos, Manfred Huber:
2D Fingertip Localization on Depth Videos Using Paired Video-to-Video Translation. ISVC (2) 2022: 381-392 - [c86]Varsha Rani Chawan, Manfred Huber, Nicholas Brent Burns, Kathryn Daniel:
Person Identification And Tinetti Score Prediction Using Balance Parameters : A Machine Learning Approach To Determine Fall Risk. PETRA 2022: 203-212 - [c85]Reza Etemadi Idgahi, Manfred Huber:
Learning Hierarchical Traversability Representations for Efficient Multi-Resolution Path Planning*. SMC 2022: 2520-2526 - [i4]Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber:
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. CoRR abs/2205.10373 (2022) - [i3]Po-Hsiang Chiu, Manfred Huber:
Generalized Reinforcement Learning: Experience Particles, Action Operator, Reinforcement Field, Memory Association, and Decision Concepts. CoRR abs/2208.04822 (2022) - 2021
- [c84]Christopher Collander, William J. Beksi, Manfred Huber:
Learning the Next Best View for 3D Point Clouds via Topological Features. ICRA 2021: 12207-12213 - [c83]Subharag Sarkar, Manfred Huber:
Personalized Learning Path Generation in E-Learning Systems using Reinforcement Learning and Generative Adversarial Networks. SMC 2021: 92-99 - [c82]Shirin Shirvani, Manfred Huber:
A Deep Reinforcement Learning Approach to Learning Tree Edit Policies on Binary Trees. SMC 2021: 1992-1999 - [c81]Nicholas Brent Burns, Kathryn Daniel, Manfred Huber, Gergely V. Záruba:
An Automatic Calibration Technique for Force Sensors in a Dynamic Smart Floor Environment. SMC 2021: 2471-2478 - [i2]Christopher Collander, William J. Beksi, Manfred Huber:
Learning the Next Best View for 3D Point Clouds via Topological Features. CoRR abs/2103.02789 (2021) - [i1]Bhanu Jain, Manfred Huber, Ramez Elmasri:
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization. CoRR abs/2111.03638 (2021) - 2020
- [j11]Taoran Sheng, Manfred Huber:
Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 57:1-57:18 (2020) - [c80]Taoran Sheng, Manfred Huber:
Unsupervised Embedding Learning for Human Activity Recognition Using Wearable Sensor Data. FLAIRS 2020: 478-483 - [c79]Zainab Alibhai, Taylor Burreson, Matthew Stiller, Ishfaq Ahmad, Manfred Huber, Addison Clark:
A Human-Computer Interface For Smart Wheelchair Control Using Forearm EMG Signals. ICDIS 2020: 34-39 - [c78]Cameron Dignan, Eliud Perez, Ishfaq Ahmad, Manfred Huber, Addison Clark:
Improving Sign Language Recognition by Combining Hardware and Software Techniques. ICDIS 2020: 87-92 - [c77]Summer Asad, Brittany Mooney, Ishfaq Ahmad, Manfred Huber, Addison Clark:
Object detection and sensory feedback techniques in building smart cane for the visually impaired: an overview. PETRA 2020: 11:1-11:7 - [c76]Tanner Amundsen, Matthew Rossman, Ishfaq Ahmad, Manfred Huber, Addison Clark:
Gait analysis and visualization in a fall risk assessment system. PETRA 2020: 26:1-26:6 - [c75]Bhanu Jain, Manfred Huber, Ramez A. Elmasri, Leonidas Fegaras:
Reducing race-based bias and increasing recidivism prediction accuracy by using past criminal history details. PETRA 2020: 55:1-55:8 - [c74]Suryoday Basak, Manfred Huber:
Evolutionary Feature Scaling in K-Nearest Neighbors Based on Label Dispersion Minimization. SMC 2020: 928-935
2010 – 2019
- 2019
- [c73]Ankit Khare, Manfred Huber:
Show, Infer and Tell: Contextual Inference for Creative Captioning. BMVC 2019: 20 - [c72]Shirin Shirvani, Manfred Huber:
Generative NNI Transformation Strategies in Binary Trees Using Reinforcement Learning. FLAIRS 2019: 74-79 - [c71]Brian Cook, Manfred Huber:
Balanced k-Nearest Neighbors. FLAIRS 2019: 112-115 - [c70]Bhanu Jain, Manfred Huber, Leonidas Fegaras, Ramez A. Elmasri:
Singular race models: addressing bias and accuracy in predicting prisoner recidivism. PETRA 2019: 599-607 - [c69]Uluhan C. Kaya, Atilla Dogan, Manfred Huber:
A Utility-Based Path Planning for Safe UAS Operations with a Task-Level Decision-Making Capability. SMC 2019: 1227-1233 - [c68]Sourabh Bose, Manfred Huber:
MDP Autoencoder. SMC 2019: 2899-2906 - [c67]Taoran Sheng, Manfred Huber:
Siamese Networks for Weakly Supervised Human Activity Recognition. SMC 2019: 4069-4075 - 2017
- [c66]Sourabh Bose, Manfred Huber:
Training neural networks with policy gradient. IJCNN 2017: 3998-4005 - [c65]Manfred Huber, Gergely V. Záruba, Nicholas Brent Burns, Kathryn Daniel:
SmartCare: An introduction. PerCom Workshops 2017: 394-400 - 2016
- [c64]Sourabh Bose, Manfred Huber:
Semi-Unsupervised Clustering Using Reinforcement Learning. FLAIRS 2016: 150-153 - [c63]Nicholas Brent Burns, Peter Sassaman, Kathryn Daniel, Manfred Huber, Gergely V. Záruba:
PESTO: Data integration for visualization and device control in the SmartCare project. PerCom Workshops 2016: 1-6 - [c62]Sourabh Bose, Manfred Huber:
Incremental learning of neural network classifiers using reinforcement learning. SMC 2016: 2097-2103 - [c61]Danielle M. Clement, Manfred Huber:
Temporal and agent abstractions in multiagent reinforcement learning. SMC 2016: 2190-2195 - [c60]Brian Cook, Manfred Huber:
Dynamic heuristic planner selection. SMC 2016: 2329-2334 - 2015
- [c59]Danielle M. Clement, Manfred Huber:
Using Multi-Agent Options to Reduce Learning Time in Reinforcement Learning. FLAIRS 2015: 26-31 - [c58]John H. C. Staton, Manfred Huber:
A Flexible, Plugin-Based Smarthome Simulation Framework with Application to Navigational Intention Prediction. FLAIRS 2015: 123-126 - [c57]Konstantinos Tsiakas, Manfred Huber, Fillia Makedon:
A multimodal adaptive session manager for physical rehabilitation exercising. PETRA 2015: 33:1-33:8 - 2014
- [j10]Muhammad Aurangzeb, Frank L. Lewis, Manfred Huber:
Efficient, Swarm-Based Path Finding in unknown graphs using Reinforcement Learning. Control. Intell. Syst. 42(3) (2014) - 2013
- [c56]Hamed Janzadeh, Manfred Huber:
Learning Policies in Partially Observable MDPs with Abstract Actions Using Value Iteration. FLAIRS 2013 - [c55]Roger Su, Timothy Michael Dockins, Manfred Huber:
ICA Analysis of Face Color for Health Applications. FLAIRS 2013 - [c54]Muhammad Aurangzeb, Frank L. Lewis, Manfred Huber:
Efficient, swarm-based path finding in unknown graphs using reinforcement learning. ICCA 2013: 870-877 - [c53]Houtan Rahmanian, Manfred Huber:
Data Modeling Using Channel-Remapped Generalized Features. SMC 2013: 864-869 - [c52]Predrag Djurdjevic, Manfred Huber:
Deep Belief Network for Modeling Hierarchical Reinforcement Learning Policies. SMC 2013: 2485-2491 - 2012
- [c51]Timothy Michael Dockins, Manfred Huber:
Social Influence Modeling for Utility Functions in Model Predictive Control. FLAIRS 2012 - [c50]Marcus Carlos Oladell, Manfred Huber:
Symbol Generation and Grounding for Reinforcement Learning Agents Using Affordances and Dictionary Compression. FLAIRS 2012 - [c49]Rasool Fakoor, Manfred Huber:
A Sampling-Based Approach to Reducing the Complexity of Continuous State Space POMDPs by Decomposition Into Coupled Perceptual and Decision Processes. ICMLA (1) 2012: 687-692 - [c48]Tummalapalli Sudhamsh Reddy, Gergely V. Záruba, Manfred Huber:
A Game Theoretic Framework for Communication in Fully Observable Multiagent Systems. ICMLA (1) 2012: 697-702 - [c47]Rasool Fakoor, Manfred Huber:
Improving tractability of POMDPs by separation of decision and perceptual processes. SMC 2012: 593-598 - [c46]Marcus Carlos Oladell, Manfred Huber:
Symbol generation and feature selection for reinforcement learning agents using affordances and U-Trees. SMC 2012: 657-662 - [c45]Tummalapalli Sudhamsh Reddy, Vamsikrishna Gopikrishna, Gergely V. Záruba, Manfred Huber:
Inverse reinforcement learning for decentralized non-cooperative multiagent systems. SMC 2012: 1930-1935 - 2011
- [j9]Brian Holbert, Manfred Huber:
Design and evaluation of haptic effects for use in a computer desktop for the physically disabled. Univers. Access Inf. Soc. 10(2): 165-178 (2011) - [c44]Joshua J. Davies, Farhad Kamangar, Gergely V. Záruba, Manfred Huber, Vassilis Athitsos:
Use of RSSI and time-of-flight wireless signal characteristics for location tracking. PETRA 2011: 18 - [c43]Srividhya Rajendran, Manfred Huber:
Autonomous identification, categorization and generalization of policies based on task type. SMC 2011: 1333-1339 - [c42]Po-Hsiang Chiu, Manfred Huber:
Reinforcement field. SMC 2011: 2567-2574 - [c41]Po-Hsiang Chiu, Manfred Huber:
Generalized reinforcement learning with concept-driven abstract actions. SMC 2011: 2575-2582 - [c40]Saravanan Thirumuruganathan, Manfred Huber:
Building Bayesian Network based expert systems from rules. SMC 2011: 3002-3008 - 2010
- [c39]Jeremy B. Brown, Manfred Huber:
Pseudo-hierarchical ant-based clustering using a heterogeneous agent hierarchy and automatic boundary formation. GECCO 2010: 85-86 - [c38]Fred Clark Jr., Dan Nguyen, Gutemberg Guerra-Filho, Manfred Huber:
Identification of static and dynamic muscle activation patterns for intuitive human/computer interfaces. PETRA 2010 - [c37]Awais Iqbal, Lanjiang Zhou, Manfred Huber, Gergely V. Záruba:
Optimizing trajectories of mobile beacons to localize sensor networks. PETRA 2010 - [c36]Jeremy B. Brown, Manfred Huber:
Pseudo-Hierarchical Ant-Based Clustering. SMC 2010: 2016-2024
2000 – 2009
- 2009
- [c35]Srividhya Rajendran, Manfred Huber:
Generalizing and Categorizing Skills in Reinforcement Learning Agents Using Partial Policy Homomorphisms. FLAIRS 2009 - [c34]Po-Hsiang Chiu, Manfred Huber:
Clustering Similar Actions in Sequential Decision Processes. ICMLA 2009: 776-781 - [c33]Kaijen Hsiao, Paul Nangeroni, Manfred Huber, Ashutosh Saxena, Andrew Y. Ng:
Reactive grasping using optical proximity sensors. ICRA 2009: 2098-2105 - [c32]Giles D'Silva, Manfred Huber:
Encoding user motion preferences in harmonic function path planning. IROS 2009: 5394-5400 - [c31]Srividhya Rajendran, Manfred Huber:
Learning to Generalize and Reuse Skills Using Approximate Partial Policy Homomorphisms. SMC 2009: 2239-2244 - [c30]Vamsikrishna Gopikrishna, Manfred Huber:
A Temporal Potential Function Approach For Path Planning in Dynamic Environments. SMC 2009: 3605-3611 - 2008
- [c29]Mehran Asadi, Manfred Huber:
Automatic Formation of Abstract State Space Representations for Reinforcement Learning Agents Agents with Hierarchical Skill Sets. Security and Management 2008: 538-543 - [c28]Brian Holbert, Manfred Huber:
Design and evaluation of haptic effects for use in a computer desktop for the physically disabled. PETRA 2008: 9 - [c27]Predrag Djurdjevic, Manfred Huber:
Learning task decomposition and exploration shaping for reinforcement learning agents. SMC 2008: 365-372 - [c26]Ashokkumaar P. Loganathan, Manfred Huber:
An approach for behavior discovery using clustering of dynamics. SMC 2008: 872-879 - 2007
- [j8]Gergely V. Záruba, Manfred Huber, Farhad Kamangar, Imrich Chlamtac:
Indoor location tracking using RSSI readings from a single Wi-Fi access point. Wirel. Networks 13(2): 221-235 (2007) - [c25]Rui Huang, Gergely V. Záruba, Manfred Huber:
Complexity and Error Propagation of Localization Using Interferometric Ranging. ICC 2007: 3063-3069 - [c24]Mehran Asadi, Manfred Huber:
Effective Control Knowledge Transfer through Learning Skill and Representation Hierarchies. IJCAI 2007: 2054-2059 - [c23]Hwang Ryol Ryu, Manfred Huber:
A particle filter approach for multi-target tracking. IROS 2007: 2753-2760 - 2006
- [c22]Erika E. Torres-Verdín, Manfred Huber:
Learning Personalized Query Modifications. FLAIRS 2006: 159-164 - [c21]Anup S. Sabbi, Manfred Huber:
Particle Filter Based Object Tracking in a Stereo Vision System. ICRA 2006: 2409-2415 - 2005
- [j7]Gergely V. Záruba, Farhad Ahani Kamangar, Manfred Huber, David Levine:
CONNECT: a personal remote messaging and monitoring system to aid people with disabilities. IEEE Commun. Mag. 43(9): 101-109 (2005) - [j6]Srividhya Rajendran, Manfred Huber:
Learning Task-Specific Sensing, Control and Memory Policies. Int. J. Artif. Intell. Tools 14(1-2): 303-328 (2005) - [c20]Mehran Asadi, Manfred Huber:
Autonomous Subgoal Discovery and Hierarchical Abstraction for Reinforcement Learning Using Monte Carlo Method. AAAI 2005: 1588-1589 - [c19]Mehran Asadi, Manfred Huber:
Action Dependent State Space Abstraction for Hierarchical Learning Systems. Artificial Intelligence and Applications 2005: 421-426 - [c18]Forrest Elliott, Manfred Huber:
Learning Macros with an Enhanced LZ78 Algorithm. FLAIRS 2005: 412-417 - [c17]Mehran Asadi, Manfred Huber:
Reinforcement Learning Acceleration through Autonomous Subgoal Discovery. MLMTA 2005: 69-74 - [c16]Vinay Seshadri, Gergely V. Záruba, Manfred Huber:
A Bayesian Sampling Approach to In-Door Localization of Wireless Devices Using Received Signal Strength Indication. PerCom 2005: 75-84 - [c15]Charles J. Hannon, Manfred Huber, Lisa J. Burnell:
Research to classroom: experiences from a multi-institutional course in smart home technologies. SIGCSE 2005: 121-125 - 2004
- [j5]Diane J. Cook, Manfred Huber, Ramesh Yerraballi, Lawrence B. Holder:
Enhancing computer science education with a wireless intelligent simulation environment. J. Comput. High. Educ. 16(1): 106-127 (2004) - [c14]Mehran Asadi, Manfred Huber:
State Space Reduction For Hierarchical Reinforcement Learning. FLAIRS 2004: 509-514 - [c13]Srividhya Rajendran, Manfred Huber:
Developing Task Specific Sensing Strategies Using Reinforcement Learning. FLAIRS 2004: 738-743 - [c12]Gergely V. Záruba, Manfred Huber, Farhad A. Karnangar, Imrich Chlarntac:
Monte Carlo sampling based in-home location tracking with minimal RF infrastructure requirements. GLOBECOM 2004: 3624-3629 - 2003
- [c11]Srichandan V. Gudla, Manfred Huber:
Cost-Based Policy Mapping for Imitation. FLAIRS 2003: 17-21 - [c10]Sandeep Goel, Manfred Huber:
Subgoal Discovery for Hierarchical Reinforcement Learning Using Learned Policies. FLAIRS 2003: 346-350 - [c9]Vinay N. Papudesi, Manfred Huber:
Learning from Reinforcement and Advice Using Composite Reward Functions. FLAIRS 2003: 361-365 - [c8]Yi Wang, Manfred Huber, Vinay N. Papudesi, Diane J. Cook:
User-guided reinforcement learning of robot assistive tasks for an intelligent environment. IROS 2003: 424-429 - 2002
- [c7]Manfred Huber, Roderic A. Grupen:
Robust finger gaits from closed-loop controllers. IROS 2002: 1578-1584 - 2000
- [c6]Manfred Huber:
A Hybrid Architecture for Hierarchical Reinforcement Learning. ICRA 2000: 3290-3295
1990 – 1999
- 1997
- [j4]Matthias Berger, Michel W. Chbat, Amaury Jourdan, Michel Sotom, Piet Demeester, Bart Van Caenegem, Poul J. Gødsvang, Bernhard Hein, Manfred Huber, Reinhard März, Alain Leclert, Torodd Olsen, Gerald Tobolka, Tom Van den Broeck:
Pan-European optical networking using wavelength division multiplexing. IEEE Commun. Mag. 35(4): 82-88 (1997) - [j3]Manfred Huber, Roderic A. Grupen:
A feedback control structure for on-line learning tasks. Robotics Auton. Syst. 22(3-4): 303-315 (1997) - [c5]Manfred Huber, Roderic A. Grupen:
Prior structure for online learning. CIRA 1997: 124-129 - [c4]Manfred Huber, Roderic A. Grupen:
Learning to Coordinate Controllers - Reinforcement Learning on a Control Basis. IJCAI 1997: 1366-1371 - 1996
- [c3]Manfred Huber, Willard S. MacDonald, Roderic A. Grupen:
A control basis for multilegged walking. ICRA 1996: 2988-2993 - 1995
- [j2]Roderic A. Grupen, Manfred Huber, Jefferson A. Coelho Jr., Kamal Souccar:
Distributed Control Representation for Manipulation Tasks. IEEE Expert 10(2): 9-14 (1995) - [c2]Wolfgang Ecker, Manfred Huber:
VHDL-based communication and synchronization synthesis. EURO-DAC 1995: 458-462 - 1994
- [j1]Manfred Huber, Roderic A. Grupen:
2-D contact detection and localization using proprioceptive information. IEEE Trans. Robotics Autom. 10(1): 23-33 (1994) - 1993
- [c1]Roderic A. Grupen, Manfred Huber:
2-D Contact Detection and Localization Using Proprioceptive Information. ICRA (2) 1993: 130-135
Coauthor Index
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