How To Read Research Papers

Environmental regulation using Plasticoding for the evolution of robots. (arXiv:2006.00025v1 [cs.RO])
Evolutionary robot systems are usually affected by the properties of the environment indirectly through selection. In this paper, we present...

Glaucoma Detection From Raw Circumapillary OCT Images Using Fully Convolutional Neural Networks. (arXiv:2006.00027v1 [eess.IV])
Nowadays, glaucoma is the leading cause of blindness worldwide. We propose in this paper two different deep-learning-based approaches to address...

Multi-modal Transfer Learning for Grasping Transparent and Specular Objects. (arXiv:2006.00028v1 [cs.RO])
State-of-the-art object grasping methods rely on depth sensing to plan robust grasps, but commercially available depth sensors fail to detect...

CSI-free vs CSI-based multi-antenna WET schemes for massive low-power Internet of Things. (arXiv:2006.00030v1 [cs.NI])
Wireless Energy Transfer (WET) is a promising solution for powering massive Internet of Things deployments. An important question is whether...

A Comparative Study of Lexical Substitution Approaches based on Neural Language Models. (arXiv:2006.00031v1 [cs.CL])
Lexical substitution in context is an extremely powerful technology that can be used as a backbone of various NLP applications,...

Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs. (arXiv:2006.00033v1 [eess.IV])
It has been advocated that medical imaging systems and reconstruction algorithms should be assessed and optimized by use of objective...

Human-Centric Active Perception for Autonomous Observation. (arXiv:2006.00037v1 [cs.RO])
As robot autonomy improves, robots are increasingly being considered in the role of autonomous observation systems -- free-flying cameras capable...

Quasi-orthonormal Encoding for Machine Learning Applications. (arXiv:2006.00038v1 [cs.LG])
Most machine learning models, especially artificial neural networks, require numerical, not categorical data. We briefly describe the advantages and disadvantages...

Biclique Graphs of $K_3$-free Graphs and Bipartite Graphs. (arXiv:2006.00040v1 [cs.DM])
A biclique of a graph is a maximal complete bipartite subgraph. The biclique graph of a graph $G$, $KB(G)$, defined...

Security Analysis for Distributed IoT-Based Industrial Automation. (arXiv:2006.00044v1 [eess.SY])
With ever-expanding computation and communication capabilities of modern embedded platforms, Internet of Things (IoT) technologies enable development of Reconfigurable Manufacturing...

Epidemic contact tracing with smartphone sensors. (arXiv:2006.00046v1 [cs.CY])
Contact tracing is widely considered as an effective procedure in the fight against epidemic diseases. However, one of the challenges...

Design of Transformation Initiatives Implementing Organisational Agility -- An Empirical Study. (arXiv:2006.00048v1 [cs.CY])
This study uses 125 responses from companies of all sizes headquartered in Germany, Switzerland, France and UK to reveal perceptions...

Stance Prediction for Contemporary Issues: Data and Experiments. (arXiv:2006.00052v1 [cs.CL])
We investigate whether pre-trained bidirectional transformers with sentiment and emotion information improve stance detection in long discussions of contemporary issues....

A Unified Hardware Architecture for Convolutions and Deconvolutions in CNN. (arXiv:2006.00053v1 [eess.SP])
In this paper, a scalable neural network hardware architecture for image segmentation is proposed. By sharing the same computing resources,...

Simulation Framework for Mobile Robots in Planetary-Like Environments. (arXiv:2006.00057v1 [cs.RO])
In this paper we present a simulation framework for the evaluation of the navigation and localization metrological performances of a...

Applying the Decisiveness and Robustness Metrics to Convolutional Neural Networks. (arXiv:2006.00058v1 [cs.LG])
We review three recently-proposed classifier quality metrics and consider their suitability for large-scale classification challenges such as applying convolutional neural...

Towards a Human-Centred Cognitive Model of Visuospatial Complexity in Everyday Driving. (arXiv:2006.00059v1 [cs.AI])
We develop a human-centred, cognitive model of visuospatial complexity in everyday, naturalistic driving conditions. With a focus on visual perception,...

Complexity of Maximum Cut on Interval Graphs. (arXiv:2006.00061v1 [cs.CC])
In this paper, we show that the Max Cut problem is NP-complete on interval graphs.

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Assessing the validity of saliency maps for abnormality localization in medical imaging. (arXiv:2006.00063v1 [cs.CV])
Saliency maps have become a widely used method to assess which areas of the input image are most pertinent to...

A Cloud Native Platform for Stateful Streaming. (arXiv:2006.00064v1 [cs.DC])
We present the architecture of a cloud native version of IBM Streams, with Kubernetes as our target platform. Streams is...


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