AI Europe 2016

  Partnership between AISB and AI Europe 2016: Next December 5th and 6th in London, AI Europe will bring together the European AI eco-system by gathering new tools and future technologies appearing in professional fields for th...


Read More...

AISB convention 2017

  In the run up to AISB2017 convention (http://aisb2017.cs.bath.ac.uk/index.html), I've asked Joanna Bryson, from the organising team, to answer few questions about the convention and what comes with it. Mohammad Majid...


Read More...

Harold Cohen

Harold Cohen, tireless computer art pioneer dies at 87   Harold Cohen at the Tate (1983) Aaron image in background   Harold Cohen died at 87 in his studio on 27th April 2016 in Encintias California, USA.The first time I hear...


Read More...

Dancing with Pixies?...

At TEDx Tottenham, London Mark Bishop (the former chair of the Society) demonstrates that if the ongoing EU flagship science project - the 1.6 billion dollar "Human Brain Project” - ultimately succeeds in understanding all as...


Read More...

Computerised Minds. ...

A video sponsored by the society discusses Searle's Chinese Room Argument (CRA) and the heated debates surrounding it. In this video, which is accessible to the general public and those with interest in AI, Olly's Philosophy Tube ...


Read More...

Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


Read More...
012345

Notice

AISB event Bulletin Item

FIRST CALL FOR PAPERS: Machine Learning and Affective Computing workshop, 9th Oct 2011, USA

http://mlac.media.mit.edu/

Machine Learning for Affective Computing (ACII Workshop) -Memphis, TN, USA


Affective computing (AC) is a unique discipline which attempts to model affect using one or 
multiple modalities by drawing on techniques from many different fields. AC often deals with 
problems that are known to be very complex and multi-dimensional, involving different kinds of 
data (numeric, symbolic, visual etc.). However, with the advancement of machine learning techniques,
a lot of those problems are now becoming more tractable.

The purpose of this workshop is to engage the machine learning and affective computing communities 
towards solving the problems related to understanding and modeling social affective behaviors. We 
welcome the participation of researchers from diverse fields, including signal processing and 
pattern recognition, statistical machine learning, human-computer interaction, human-robot 
interaction, robotics, conversational agents, experimental psychology, and decision making.

There is a need for a set of high standards for recognizing and understanding affect. At the same 
time, these standards need to take into account that the expectations and validations in this area 
may be different than in traditional research on machine learning. This should be reflected in the 
design of machine learning techniques used to tackle these problems. For example, affective data 
sets are known to be noisy, high dimensional, and incomplete. Classes may overlap. Affective 
behaviors are often person specific and require temporal modeling with real-time performance. 
This first edition of the ACII Workshop on Machine Learning for Affective Computing will be the 
perfect venue to invoke such discussions and engage the community towards design and validation 
of learning techniques for affective sensing.

Topics: 
-------------- 

We invite submissions of high-quality papers describing novel research on machine learning applied
to human affective computing and related topics. Suitable themes include, but are not limited to: 

* Automatic recognition of spontaneous affective states
* Multimodal integration of speech, facial expressions and body posture
* Audio-visual signal processing
* Context-based understanding of affective state
* Feature selection and engineering
* Online user adaptation and calibration
* Unsupervised analysis of affective behaviors
* Spontaneous datasets for affective learning
* Evaluation metrics for probabilistic modeling of affective states

The paper should not include work previously published elsewhere or under review in other 
conferences/journals.

Program Committee (partial list): 
-------------------------------------------- 
Alessandro Vinciarelli (Glasgow) 
Ashish Kapoor (Microsoft Research) 
Athanassios (Nassos) Katsamanis (USC) 
Carlos Busso (UT-Dallas) 
Dan Bohus (Microsoft Research)  
Fernando De la Torre (CMU) 
Ginevra Castellano (Queen Mary University) 
Jean-Claude Martin, (LIMSI-CNRS)
France Jeffrey Cohn (Pitt) 
Jonathan Gratch (USC) 
Julia Hirschberg (Columbia) 
Magalie Ochs (Telecom Paris Tech)
Matthew Turk (UCSB) 
Nicu Sebe (Trento) 
Peter Robinson (Cambridge) 
Rana el-Kaliouby (MIT) 
Ross Beveridge (Colorado State) 
Shri Narayanan (USC) 
Tanzeem Chowdhury (Dartmouth) 
Winslow Burleson (ASU)


Submission guidelines: 
-------------------------------------------- 

Papers will be published in the proceedings of ACII 2011 by Springer. Papers should not exceed 10 
pages and should be formatted to the Springer LNCS formatting guidelines 
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0/
Papers must be submitted as PDF through the EasyChair Conference system, which can be accessed via 
the web at https://www.easychair.org/account/signin.cgi?conf=acii20110.


Important dates: 
------------------------------- 

Submission deadline: June 24th, 2011, 11:59pm PST 
Notification of acceptance: July 15th, 2011 
Camera ready version due: July 25th, 2011
Workshop: October 9th, 2011 

Organizers: 
---------------------- 
M. Ehsan Hoque (MIT)
Dan McDuff (MIT)
Louis Philippe Morency (USC)
Rosalind Picard (MIT)