Role Recognition in Broadcast News Using Social Network Analysis and Duration Distribution Modeling

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Cerebrovascular reactivity (CVR), defined as the cerebral blood flow response to a vasoactive stimulus, is an imaging biomarker with demonstrated utility in a range of diseases and in typical development and aging processes. A robust and widely implemented ...

Network alignment is the task of identifying topologically and semantically similar nodes across (two) different networks. It plays an important role in various applications ranging from social network analysis to bioinformatic network interactions. Howeve ...

Graph Neural Networks (GNNs) have emerged as a powerful tool for learning on graphs, demonstrating exceptional performance in various domains. However, as GNNs become increasingly popular, new challenges arise. One of the most pressing is the need to ensur ...

Objective Long-term automatic detection of focal seizures remains one of the major challenges in epilepsy due to the unacceptably high number of false alarms from state-of-the-art methods. Our aim was to investigate to what extent a new patient-specific ap ...

Understanding the influence of running-induced acute fatigue on the homeostasis of the body is essential to mitigate the adverse effects and optimize positive adaptations to training. Fatigue is a multifactorial phenomenon, which influences biomechanical, ...

Goods can exhibit positive externalities impacting decisions of customers in social networks. Suppliers can integrate these externalities in their pricing strategies to increase their revenue. Besides optimizing the prize, suppliers also have to consider t ...

This work proposes a multi-agent filtering algorithm over graphs for finite-state hidden Markov models (HMMs), which can be used for sequential state estimation or for tracking opinion formation over dynamic social networks. We show that the difference fro ...

New materialism considers that the world and its histories are produced by a range of material forces that extend from the physical and the biological to the psychological, social and cultural. In recognizing that heritage is not held in objects alone, new ...

In this thesis, we take a signal-processing approach to two research areas outside of the core of the signal processing research: geometry reconstruction and light propagation through non-uniform media. In the first area, we consider new sampling schemes ...

The acoustics of a room often refer to the quality of the room in terms of sound recording as well as sound reproduction. At low frequencies, where the wavelengths are of the same order of magnitude with the dimensions of the room, due to the standing wave ...

This paper introduces a novel approach for extracting speaker embeddings from audio mixtures of multiple overlapping voices. This approach is based on a multi-task neural network. The network first extracts a latent feature for each direction. This feature ...

Understanding the diffusion patterns of sequences of interdependent events is a central question for a variety of disciplines. Temporal point processes are a class of elegant and powerful models of such sequences; these processes have become popular across ...

Bioelectronic interfacing with living tissues should match the biomechanical properties of biological materials to reduce damage to the tissues. Here, the authors present a fully viscoelastic microelectrode array composed of an alginate matrix and carbon-b ...

We consider three classes of linear differential equations on distribution functions, with a fractional order alpha is an element of [0; 1]. The integer case alpha = 1 corresponds to the three classical extreme families. In general, we show that there is a ...

In this thesis, we focus on the problem of achieving practical privacy guarantees in machine learning (ML), where the classic differential privacy (DP) fails to maintain a good trade-off between user privacy and data utility. Differential privacy guarantee ...

We study the phenomenon of intransitivity in models of dice and voting. First, we follow a recent thread of research for n-sided dice with pairwise ordering induced by the probability, relative to 1/2, that a throw from one die is higher than the other. We ...

Micro-nanotechnology based multielectrode arrays have led to remarkable progress in the field of transmembrane voltage recordings of excitable cells. However, electrode geometries alone have failed to produce a cell-electrode interface that is sufficiently ...

Implanted microelectrode arrays sense local neuronal activity, signals which are used as control commands for brain computer interface (BCI) technology. Patients with tetraplegia have used BCI technology to achieve an extraordinary degree of interaction wi ...

Progress in nanotechnology, including fabrication and characterization tools, opened up the unprecedented low dimensional materials era, where we can manipulate and structure matter on a size scale that we could not reach before. Due to many interesting pr ...

State-of-the art models for statistical properties within the nanowire ensembles consider influx of precursors, reflection and surface diffusion of adatoms. These models predict a delay in the nanowire growth start and the evolution toward an asymmetric le ...

Role Recognition in Broadcast News Using Social Network Analysis and Duration Distribution Modeling

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Comparing end-tidal CO2, respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI

Network Alignment With Holistic Embeddings

Privacy-Preserving Machine Learning on Graphs

Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection

Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue

Maintenance scheduling of manufacturing systems based on optimal price of the network

Hidden Markov Modeling Over Graphs

Radical Intangibles: Materializing the Ephemeral

Sampling Geometry and Colour

Sound Field Reconstruction in a room through Sparse Recovery and its application in Room Modal Equalization

Multi-task Neural Network for Robust Multiple Speaker Embedding Extraction

Learning Self-Exciting Temporal Point Processes Under Noisy Observations

Viscoelastic surface electrode arrays to interface with viscoelastic tissues

Fractional extreme distributions

Data-Aware Privacy-Preserving Machine Learning

The probability of intransitivity in dice and close elections

Intracellular recording of cardiomyocyte action potentials with nanopatterned volcano-shaped microelectrodes

Longitudinal neural and vascular structural dynamics produced by chronic microelectrode implantation

Increasing Functionality of III-V Nanowires on Silicon Substrates

Does desorption affect the length distributions of nanowires?