Minimizing Stack Memory for Partitioned Mixed-Criticality Scheduling on Multiprocessor Platformsīy Qingling Zhao, Mengfei Qu, Zonghua Gu, Haibo Zeng Loosening Control - A Hybrid Approach to Controlling Heterogeneous Swarms
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Monitoring Runtime Metrics of Fog Manufacturing via a Qualitative and Quantitative (QQ) Control Chartīy Yifu Li, Lening Wang, Dongyoon Lee, Ran Jinĭomain Adaptation with Representation Learning and Nonlinear Relation for Time Series Instance Correlation Graph for Unsupervised Domain Adaptationīy Lei Wu, Hefei Ling, Yuxuan Shi, Baiyan Zhangįine-Grained Adversarial Semi-supervised Learningīy Daniele Mugnai, Federico Pernici, Francesco Turchini, Alberto Del Bimbo Scribble-supervised meibomian glands segmentation in infrared imagesīy Xiaoming Liu, Shuo Wang, Ying Zhang, Quan Yuan Structure-Aware Meta-Fusion for Image Super-Resolution Threat Modelling Guided Trust-based Task Offloading for Resource-constrained Internet of Thingsīy Matthew Bradbury, Arshad Jhumka, Tim Watson, Denys Flores, Jonathan Burton, Matthew ButlerĮSRNet: Efficient Search and Recognition Network for Image Manipulation Detectionīy Ruyong Ren, Shaozhang Niu, Hua Ren, Shubin Zhang, Tengyue Han, Xiaohai TongĪ Case for Intra-Rack Resource Disaggregation in HPCīy George Michelogiannakis, Benjamin Klenk, Brandon Cook, Min Yee Teh, Madeleine Glick, Larry Dennison, Keren Bergman, John ShalfĪutomating Research Data Management Using Machine-actionable Data Management Plansīy Tomasz Miksa, Simon Oblasser, Andreas Rauberįully Unsupervised Person Re-identification via Selective Contrastive Learningīy Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu Handwritten annotation spotting in printed documents using top-down visual saliency models Improving Deep Learning based Automatic Speech Recognition for Gujaratiīy Deepang Raval, Vyom Pathak, Muktan Patel, Brijesh Bhatt Legal Judgment Elements Extraction Approach with Law Article-aware Mechanism The open data canvas – Analysing value creation from open data Servedio, Li-Yang TanĪ collaborative consumption digital platform for government organizations using design science Qin, Timos SellisĪ Survey on Text Classification: From Traditional to Deep Learningīy Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Location-Centered House Price Prediction: A Multi-Task Learning Approachīy Guangliang Gao, Zhifeng Bao, Jie Cao, A. John, Allison Post, Mehdi Razavi, Joseph Cavallaro, Behnaam Aazhang, Yingyan LinĮarth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Trainingīy Wenchong He, Arpan Man Sainju, Zhe Jiang, Da Yan, Yang Zhou RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrogramsīy Yongan Zhang, Anton Banta, Yonggan Fu, Mathews M. Wouters, Anteneh Gebregiorgis, Rajendra Bishnoi, Rajiv Joshi,
Towards a truly integrated vector processing unit for memory-bound applications based on a cost-competitive Computational SRAM design solutionīy Maha Kooli, Antoine Heraud, Henri-Pierre Charles, Bastien Giraud, Roman Gauchi, Mona Ezzadeen, Kevin Mambu, Valentin Egloff, Jean-Philippe NoelĪ Voltage Controlled Oscillation based ADC Design for Computation-in-Memory Architectures Using Emerging ReRAMsīy Mahta Mayahinia, Abhairaj Singh, Christopher Bengel, Stefan Wiefels, Muath A. Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Controlīy Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki Reusability and Transferability of Macro Actions for Reinforcement Learningīy Yi-Hsiang Chang, Kuan-Yu Chang, Henry Kuo, Chun-Yi Lee Unified Route Planning for Shared Mobility: An Insertion-based Frameworkīy Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Ke Xuīy Robert Binna, Eva Zangerle, Martin Pichl, Günther Specht, Viktor Leis Sampling a Near Neighbor in High Dimensions -Who is the Fairest of Them All?īy Martin Aumüller, Sariel Har-Peled, Sepideh Mahabadi, Rasmus Pagh, Francesco Silvestri The papers below are applicable to practitioners and are open and available to the computing community. The content of many papers submitted to ACM Journals is highly relevant to developers and engineers interested in keeping up with the latest trends, technologies, problems, and solutions in their field.