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The First TReNDS Neuroimaging Competition: Multiscanner normative age and assessments prediction with brain function, structure, and connectivity

Translational utility is the ability of certain biomedical imaging features to capture useful subject-level characteristics in clinical settings, yielding sensible descriptions and/or predictions for individualized treatment trajectory. An important step in achieving translational utility is to demonstrate the association between imaging features and individual characteristics, such as sex, age, and other relevant assessments, on a large out-of-sample unaffected population (no diagnosed illnesses). This initial step then provides a strong normative basis for comparison with patient populations in clinical settings. Detailed information. Website.

 

 

Associate Senior Lecturer

The research group Communication Systems and Networks at Mid Sweden Sweden University announces one open Associate Senior Lecturer position within the area of wireless communication.  We are looking for candidates with experience and knowledge on: machine learning, artificial intelligence, radio resource management, spectrum management, and communication protocols. The applicant should have an outstanding research record documented by publications in high-ranked journal. We are looking for strongly motivated and responsible candidates, who are able to work independently and cooperate.

Marie Sklodowska-Curie PhD position

Applicants are invited for two Early Stage Researchers (ESR) of EU Marie Sklodowska-Curie Actions (MSCA) to be hosted in the Istituto Italiano di Tecnologia (IIT). The positions are for a fixed-term of 3 years and the successful applicants are expected to register for PhD at the University of Ferrara, in Translational Neurosciences and Neurotechnologies. The two Early Stage Researchers (ESR) of COBRA H2020 project (G.A. N.

Competition for preliminary selection of postdoctoral applications

Institute of Electronics and Computer Science (EDI) announces the opening of the competition for preliminary selection of postdoctoral applications for submission to the State Education Development Agency (SEDA) under the Activity 1.1.1.2 “Post-doctoral Research Aid” of the Specific Aid Objective 1.1.1 “To increase the research and innovative capacity of scientific institutions of Latvia and the ability to attract external financing, investing in human resources and infrastructure” of the Operational Programme “Growth and Employment”.

Past Members

Technical Committee

Past Members

 

The following lists all the past chairs and members of the SPS Speech and Language Processing Technical Committee. 

*NOTE: Please scroll up/down and left/right within the Past Members window to view the full list. Also, view the full downloadable list (right-click, Save As to save file).

Design of Compressed Sensing System With Probability-Based Prior Information

This paper deals with the design of a sensing matrix along with a sparse recovery algorithm by utilizing the probability-based prior information for compressed sensing systems. With the knowledge of the probability for each atom of the dictionary being used, a diagonal weighted matrix is obtained and then the sensing matrix is designed by minimizing a weighted function such that the Gram of the equivalent dictionary is as close to the Gram of dictionary as possible.

Steered Mixture-of-Experts for Light Field Images and Video: Representation and Coding

Research in light field (LF) processing has heavily increased over the last decade. This is largely driven by the desire to achieve the same level of immersion and navigational freedom for camera-captured scenes as it is currently available for CGI content. Standardization organizations such as MPEG and JPEG continue to follow conventional coding paradigms in which viewpoints are discretely represented on 2-D regular grids.

Multi-Task Learning for Acoustic Event Detection Using Event and Frame Position Information

Acoustic event detection deals with the acoustic signals to determine the sound type and to estimate the audio event boundaries. Multi-label classification based approaches are commonly used to detect the frame wise event types with a median filter applied to determine the happening acoustic events. However, the multi-label classifiers are trained only on the acoustic event types ignoring the frame position within the audio events.