User centric Handover in mmWave Cell Free Massive MIMO with User Mobility

The coupling between cell-free massive multiple-input multiple- input multiple-output (MIMO) systems and usermobility is considered in this paper . Three beamforming techniques are proposed in the considered scenario, along with a dynamic user association technique (handover) Numerical results reveal that the proposed beamforming and userassociation techniques are effective in a considered scenario .…

The State of AI Ethics Report January 2021

Montreal AI Ethics Institute’s The State of AI Ethics captures the most relevant developments in AI Ethics since October 2020 . Report includes exclusive content written by world-class AI Ethics experts from universities, research institutes,consulting firms, and governments . Unique to this report is “The Abuse andMisogynoir Playbook,” written by Dr.…

End to End Unsupervised Document Image Blind Denoising

Most available image denoising methods are supervised where the pairs of noisy/clean pages are required . However, this assumption is rarely met in real settings . Here, we propose a unified end-to-end unsupervised deep learning model, for the firsttime, that can effectively remove multiple types of noise, including salt \&pepper noise, blurred and/or faded text, as well as watermarks .…

The State of AI Ethics Report Volume 4

The State of AI Ethics aims to help anyone, from machine learning experts to humanrights activists and policymakers, quickly digest and understand the latest developments in the field . Report distills the research and reporting surrounding various domains related to the ethics of AI, with aparticular focus on four key themes: Ethical AI, Fairness & Justice, Humans &Tech, and Privacy .…

Subgrid multiscale stabilized finite element analysis of non Newtonian Casson model fully coupled with Advection Diffusion Reaction equations

Casson fluid flow model tightly coupled with variable coefficients ADR ($VADR$) equation . Casson viscositycoefficient is taken to be dependent upon solute mass concentration . This paper presents the stability and convergence analyses of the stabilized finiteelement solution . The proposed expressions of the stabilization parameters help in obtaining optimal order of convergences .…

On Interpretation and Measurement of Soft Attributes for Recommendation

We address how to robustly interpret natural language refinements (orcritiques) in recommender systems . We present novel data collectiontechniques and evaluation approaches, and a new public dataset . We propose a set of scoring approaches, from unsupervised to weakly supervised to fullysupervised, as a step towards interpreting and acting upon soft attribute basedcritiques .…

Projector Guided Non Holonomic Mobile 3D Printing

Fused deposition modeling (FDM) using mobile robots instead of thegantry-based 3D printer enables additive manufacturing at a larger scale with higher speed . This introduces challenges including accurate localization, control of the printhead, and design of a stable mobile manipulator with lowvibrations and proper degrees of freedom .…

Multimodal Deep Learning Framework for Image Popularity Prediction on Social Media

Billions of photos are uploaded to the web daily through various types of social networks . The popularity of an image can beaffected by several factors, such as visual content, aesthetic quality, user, post metadata, and time . The proposed VSCNN model significantly outperforms state-of-the-art models, with a relative improvement of greater than 2.33%, 7.59%, and 14.16% interms of Spearman’s Rho, mean absolute error, and mean squared error,respectively.…

Explainable Tsetlin Machine framework for fake news detection with credibility score assessment

The proliferation of fake news, i.e., news intentionally spread formisinformation, poses a threat to individuals and society . Despite variousfact-checking websites such as PolitiFact, robust detection techniques are required to deal with the increase in fake news . Several deep learning modelsshow promising results for fake news classification, however, their black-box nature makes it difficult to explain their classification decisions and quality-assure the models .…

VSGM Enhance robot task understanding ability through visual semantic graph

In recent years, developing AI for robotics has raised much attention . The interaction of vision and language of robots is particularly difficult . Giving robots an understanding of visual semantics and languagesemantics will improve inference ability . In this paper, we propose a novelmethod-VSGM (Visual Semantic Graph Memory), which uses the semantic graph to obtain better visual image features, improve the robot’s visual understandingability.…

Surprisingly Popular Voting Recovers Rankings Surprisingly

Classical democratic approaches for aggregating individual votes only work when the opinion of the majority of the crowd is relatively accurate . A clever recent approach elicits additional information from individuals, namely their predictions of other individuals’ votes . This approach works well when the goal is to pick the correct option from a small list, but when it is to cover a true ranking of the alternatives, a direct application of the approach requires eliciting too much information .…

Long Text Generation by Modeling Sentence Level and Discourse Level Coherence

Existing generation models struggle to maintain a coherent event sequencethroughout the generated text . We conjecture that this is because of the difficulty for the decoder to capture the high-level semantics and discoursestructures in the context beyond token-level co-occurrence . In this paper, we propose a long text generation model, which can represent the prefix sentences at sentence level and discourse level in the decoding process .…

Federated Singular Vector Decomposition

FedSVD protects raw data through a singular valueinvariance mask, which can be further removed from the SVD results . The reconstruction error is around 0.000001% of the raw data,validating the lossless property of FedSvd . The scalability of the algorithm is nearly the same as the standalone SVD algorithm, says the authors .…

A Game Theoretic Account of Responsibility Allocation

A fundamental problem is to specify which agents are responsible for the joint outcome of their behaviors and to which extent . We model multi-agent interaction as an extensive form game of imperfect information . Forward responsibility identifies responsibility of a group of agents for an outcome along all possible plays, whereas backwardresponsibility identifies responsibility along a given play .…

Cooperation in Threshold Public Projects with Binary Actions

When can cooperation arise from self-interested decisions in public goodsgames? And how can we help agents to act cooperatively? We examine these questions in a pivotal participation game, a variant of public goodgames . We prove it is NP-complete to decide the existence of a cooperative Nashequilibrium such that the project succeeds .…

A fast Petrov Galerkin spectral method for the multi dimensional Boltzmann equation using mapped Chebyshev functions

Numerical approximation of the Boltzmann equation presents a challenging problem due to its high-dimensional, nonlinear, and nonlocal collision operator . The Petrov-Galerkin spectral method uses Chebyshev functions to achieve desired convergence and conservation properties . We demonstrate the superior accuracy of the proposed method in comparison to the Fourier spectral method with the help of the then-uniform fast Fourier transform (NuffT) The basis functions (bothtest and trial functions) are carefully chosen to be carefully chosen .…

SEMOUR A Scripted Emotional Speech Repository for Urdu

Speech Emotion Recognition systems are currently available in only a few languages, including English,German, and Italian . In this paper, we present SEMOUR, the first scripteddatabase of emotion-tagged speech in the Urdu language, to design an UrduSpeech Recognition System . On a random testsample, our model correctly predicts an emotion with a state-of-the-art 92% accuracy .…

Calibrated Click Through Auctions An Information Design Approach

We analyze the optimal information design in a click-through auction with fixed valuations per click . The optimal information structure requires private (ratherthan public) signals to the bidders . It also requires correlated (rather than independent) signals, even when the underlying uncertainty regarding the click through rates is independent .…

XCycles Backprojection Acoustic Super Resolution

The XCycles BackProjection model (XCBP), incontrast to the feedforward model approach, fully uses the iterative correctionprocedure in each cycle to reconstruct the residual error correction for theencoded features in both low- and high-resolution space . The proposed approach showed high outperformance compared to theclassical interpolation operators and to the recent feedforward state-of-the-art models .…

Performability of Network Service Chains Stochastic Modeling and Assessment of Softwarized IP Multimedia Subsystem

Service provisioning mechanisms implemented across 5G infrastructures takebroadly into use of the network service chain concept . The IP MultimediaSubsystem (IMS) is a key infrastructure of 5G networks, that we characterize bothby a performance and an availability perspective . We perform a stochastic assessment of a softwarized IMS architecture where twomain stages stand out: i) a performance analysis, i.…

A Spatial Logic for a Simplicial Complex Model

Collective adaptive systems (CAS) consist of many heterogeneous componentstypically organised in groups . These entities interact with each other by adapting their behaviour to pursue individual or collective goals . For these systems, specification and verification of spatialproperties play a fundamental role to understand their behaviour and to support their design .…

Three Dimensional Popular Matching with Cyclic Preferences

Two actively researched problem settings in matchings under preferences are popular matchings and the three-dimensional stable matching problem with cyclicpreferences . We investigate the connection between stability, popularity, and their strict variants, strong stability andstrong popularity in 3-dimensional instances . We also derive results on the complexity of these problems whenthe preferences are derived from master lists .…

Can We Break Symmetry with o m Communication

All known algorithms need at least $Omega(m)$ communication for coloring and MIS . We study the communication cost (or message complexity) of these problems . We ask: Can we solve problems such as coloringand MIS using sublinear, i.e., $o(m), communication, and if so under whatconditions?…

Advances in integration of end to end neural and clustering based diarization for real conversational speech

A novel speaker diarization method called End-to-End-Neural-Diarization-vector clustering (EEND- vector clustering) was onlyevaluated so far on simulated 2-speaker meeting-like data . The proposed method combines advantages of bothframeworks, i.e. high performance and handling of overlapped speechbased on EEND, and robust handling of long recordings with an arbitrary number of speakers based on clustering-based approaches .…

Dialogue Disentanglement in Software Engineering How Far are We

In this paper, we evaluate five popular dialogdisentanglement approaches on software-related chat . We find existingapproaches do not perform well on disentangling software dialogs thatdiscuss technical and complex topics . These cases include (i)ignoring interaction patterns; (ii) ignoring contextual information; (iii) mixing up topics; and (iv) ignoring user relationships .…

Designing a Pseudo Random Bit Generator with a Novel 5D Hyperchaotic System

Dynamic and non-linear systems are emerging as potential candidates forrandom bit generation . This paper introduces a newcontinuous chaotic system along with its corresponding implementation, which targets field-programmable gate array (FPGA) This chaotic system has fivedimensions, which exhibit complex chaotic dynamics, thus enabling theutilization of chaotic signals in cryptography .…