Publications related to Binary classification

Instrumented Shoes for Real-Time Activity Monitoring Applications

Kamiar Aminian, Anisoara Ionescu, Christopher Moufawad El Achkar

Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in older adults and at-risk populations. Several research-based and commercial systems have been proposed with varying performances in classification accuracy. Co ...

Ios Press2016

Instrumented Shoes for Real-Time Activity Monitoring Applications

Kamiar Aminian, Anisoara Ionescu, Christopher Moufawad El Achkar

Activity monitoring in daily life is gaining momentum as a health assessment tool, especially in older adults and at-risk populations. Several research-based and commercial systems have been proposed with varying performances in classification accuracy. Co ...

IOS Press2016

Predicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features

Philipp Bucher, Sunil Kumar

Background: Understanding the mechanisms by which transcription factors (TF) are recruited to their physiological target sites is crucial for understanding gene regulation. DNA sequence intrinsic features such as predicted binding affinity are often not ve ...

Biomed Central Ltd2016

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Yusuf Leblebici, Irem Boybat Kara, Alessandro Fumarola, Severin Sidler

We assess the impact of the conductance response of Non-Volatile Memory (NVM) devices employed as the synaptic weight element for on-chip acceleration of the training of large-scale artificial neural networks (ANN). We briefly review our previous work towa ...

Ieee2016

Automated Classification of Brain Tumor Type in Whole-Slide Digital Pathology Images Using Local Representative Tiles

Adrien Raphaël Depeursinge

Computerized analysis of digital pathology images offers the potential of improving clinical care (e.g. automated diagnosis) and catalyzing research (e.g. discovering disease subtypes). There are two key challenges thwarting computerized analysis of digita ...

Elsevier2016

Sparse Subspace Modeling for Query by Example Spoken Term Detection

Hervé Bourlard, Afsaneh Asaei, Dhananjay Ram

We cast the problem of query by example spoken term detection (QbE-STD) as subspace detection where query and background are modeled as a union of low-dimensional subspaces. The speech exemplars used for subspace modeling consist of class-conditional poste ...

Idiap2016

BDD Minimization for Approximate Computing

Mathias Soeken, Arun Chandrasekharan

We present Approximate BDD Minimization (ABM) as a problem that has application in approximate computing. Given a BDD representation of a multi-output Boolean function, ABM asks whether there exists another function that has a smaller BDD representa ...

IEEE2016

Low-Power Wearable System for Real-Time Screening of Obstructive Sleep Apnea

David Atienza Alonso, Francisco Javier Rincon Vallejos, Srinivasan Murali, Grégoire Casimir Joseph Surrel

Obstructive Sleep Apnea (OSA) is one of the main sleep disorders, but only 10% of the cases are diagnosed. Moreover, there is a lack of tools for long-term monitoring of OSA, since current systems are too bulky and intrusive to be used continuously. In thi ...

Ieee2016

Robustness of classifiers: from adversarial to random noise

Pascal Frossard, Seyed Mohsen Moosavi Dezfooli, Alhussein Fawzi

Several recent works have shown that state-of-the-art classifiers are vulnerable to worst-case (i.e., adversarial) perturbations of the datapoints. On the other hand, it has been empirically observed that these same classifiers are relatively robust to ran ...

2016

Does sensitivity in binary choice tasks depend on response modality?

Michael Herzog, Lukasz Grzeczkowski, Izabela Szumska

In most models of vision, a stimulus is processed in a series of dedicated visual areas, leading to categorization of this stimulus, and possible decision, which subsequently may be mapped onto a motor-response. In these models, stimulus processing is thou ...

Elsevier2016

Binary classification

Instrumented Shoes for Real-Time Activity Monitoring Applications

Instrumented Shoes for Real-Time Activity Monitoring Applications

Predicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Automated Classification of Brain Tumor Type in Whole-Slide Digital Pathology Images Using Local Representative Tiles

Sparse Subspace Modeling for Query by Example Spoken Term Detection

BDD Minimization for Approximate Computing

Low-Power Wearable System for Real-Time Screening of Obstructive Sleep Apnea

Robustness of classifiers: from adversarial to random noise

Does sensitivity in binary choice tasks depend on response modality?

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Automated Classification of Brain Tumor Type in Whole-Slide Digital Pathology Images Using Local Representative Tiles

Instrumented Shoes for Real-Time Activity Monitoring Applications

BDD Minimization for Approximate Computing

Predicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features

Low-Power Wearable System for Real-Time Screening of Obstructive Sleep Apnea

Robustness of classifiers: from adversarial to random noise

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Instrumented Shoes for Real-Time Activity Monitoring Applications

Sparse Subspace Modeling for Query by Example Spoken Term Detection

Does sensitivity in binary choice tasks depend on response modality?