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Article
Open AccessPeripheral gene interactions define interpretable clusters of core ASD genes in a network-based investigation of the omnigenic theory
According to the recently proposed omnigenic theory, all expressed genes in a relevant tissue are contributing directly or indirectly to the manifestation of complex disorders such as autism. Thus, holistic appro...
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Chapter and Conference Paper
DeepRehab: Real Time Pose Estimation on the Edge for Knee Injury Rehabilitation
Human pose estimation is a crucial step towards understanding and characterizing people’s behavior in images and videos. Current state of the art results on human pose estimation were achieved by large Deep Le...
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Chapter and Conference Paper
RATS: Robust Automated Tracking and Segmentation of Similar Instances
Continuous identification of objects with identical appearance is crucial to analyze the behavior of laboratory animals. Most existing methods attempt to avoid this problem by excluding direct social interacti...
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Chapter and Conference Paper
Multi Object Tracking for Similar Instances: A Hybrid Architecture
Tracking and segmentation of moving objects in videos continues to be the central problem in the separation and prediction of concurrent episodes and situation understanding. Along with critical issues such as...
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Chapter and Conference Paper
Sparsified and Twisted Residual Autoencoders
Previously, we have put forth the concept of Cartesian abstraction and argued that it can yield ‘cognitive maps’. We suggested a general mechanism and presented deep learning based numerical simulations: an o...
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Chapter and Conference Paper
Multi-person Absolute 3D Human Pose Estimation with Weak Depth Supervision
In 3D human pose estimation one of the biggest problems is the lack of large, diverse datasets. This is especially true for multi-person 3D pose estimation, where, to our knowledge, there are only machine gene...
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Chapter and Conference Paper
Maintain and Improve Mental Health by Smart Virtual Reality Serious Games
Serious games for mental health is seen as the groundwork for assistive technology to maintain and improve mental health. We present a technical system layout we partly implemented for demonstration purposes a...
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Chapter and Conference Paper
Personalization of Gaze Direction Estimation with Deep Learning
There is a growing interest in behavior based biometrics. Although biometric data has considerable variations for an individual and may be faked, yet the combination of such ‘weak experts’ can be rather strong...
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Chapter and Conference Paper
Estimating Cartesian Compression via Deep Learning
We introduce a learning architecture that can serve compression while it also satisfies the constraints of factored reinforcement learning. Our novel Cartesian factors enable one to decrease the number of variabl...
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Chapter and Conference Paper
Model Based Augmentation and Testing of an Annotated Hand Pose Dataset
Recent advances of deep learning technology enable one to train complex input-output map**s, provided that a high quality training set is available. In this paper, we show how to extend an existing dataset o...
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Chapter and Conference Paper
Deep Learning for Facial Action Unit Detection Under Large Head Poses
Facial expression communicates emotion, intention, and physical state, and regulates interpersonal behavior. Automated face analysis (AFA) for the detection, synthesis, and understanding of facial expression i...
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Article
Open AccessMDR-1 and MRP-1 activity in peripheral blood leukocytes of rheumatoid arthritis patients
Rheumatoid Arthritis is a chronic disease leading to decreased quality of life with a rather variable response rate to Disease Modifying Anti Rheumatic Drugs. Methotrexate (MTX) is the gold standard therapy in...
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Article
Revolution in Health and Wellbeing
We argue that recent technology developments hold great promises for health and wellbeing. In our view, recent advances of (1) smart tools and wearable sensors of diverse kinds, (2) data collection and data mi...
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Article
Open AccessDecreased functional activity of multidrug resistance protein in primary colorectal cancer
The ATP-Binding Cassette (ABC)-transporter MultiDrug Resistance Protein 1 (MDR1) and Multidrug Resistance Related Protein 1 (MRP1) are expressed on the surface of enterocytes, which has led to the belief that ...
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Chapter and Conference Paper
The Cyber-Physical System Approach Towards Artificial General Intelligence: The Problem of Verification
Cyber-Physical Systems have many components including physical ones with heavy demands on workflow management; a real-time problem. Furthermore, the complexity of the system involves some degree of stochastici...
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Chapter and Conference Paper
Robust Detection of Anomalies via Sparse Methods
The problem of anomaly detection is a critical topic across application domains and is the subject of extensive research. Applications include finding frauds and intrusions, warning on robot safety, and many othe...
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Chapter and Conference Paper
Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding
We extend the scope of Wikification to novel words by relaxing two premises of Wikification: (i) we wikify without using the surface form of the word (ii) to a mixture of Wikipedia senses instead of a single s...
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Chapter and Conference Paper
Towards a Smart Wearable Tool to Enable People with SSPI to Communicate by Sentence Fragments
The ability to communicate with others is of paramount importance for mental well-being. In this paper, we describe an interaction system to reduce communication barriers for people with severe speech and phys...
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Chapter and Conference Paper
Spatio-temporal Event Classification Using Time-Series Kernel Based Structured Sparsity
In many behavioral domains, such as facial expression and gesture, sparse structure is prevalent. This sparsity would be well suited for event detection but for one problem. Features typically are confounded b...
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Chapter and Conference Paper
Collaborative Filtering via Group-Structured Dictionary Learning
Structured sparse coding and the related structured dictionary learning problems are novel research areas in machine learning. In this paper we present a new application of structured dictionary learning for c...
