CODS-COMAD 2022
9th ACM IKDD CODS and 27th COMAD
5th Joint International Conference on Data Science & Management of Data
January 4-7, 2023
IIT Bombay
https://cods-comad.in/
CFP MICAI-2022, Artificial Intelligence, Monterrey, Mexico, October, Springer+journals
May 12th, 2022 
Daniela Lopez de Luise MICAI-2022
21th Mexican International Conference on Artificial Intelligence
October 24 to 29, 2022, on-site (virtual presentations are possible), Monterrey, Mexico
Publication: Springer LNAI (WoS, Scopus, EI), journals (including ISI JCR / Scopus)
Submission: June 20: Abstract (Draft / Expression of Interest) / June 30: Full text
== GENERAL INFORMATION
Topics: All areas of Artificial Intelligence, Computational Intelligence, Machine Learning, Data Mining, Fuzzy Systems, as research as applications.
Workshops. Tutorials. Doctoral Consortium. Best papers awards.
== KEYNOTES
To be announced: five world-class experts in AI; see the webpage.
== PROCEEDINGS
Springer LNAI (WoS, Scopus, EI);
Special issues of journals (ISI JCR / WoS, Scopus: anticipated).
Workshops: See the respective calls for papers on the webpage.
== MODALITY, VENUE, AND TOURS
Modality: on-site, virtual for those who prefers not to travel.
Venue: ITESM, Monterrey, Mexico.
Tours: Fundidora park and more.
== DEADLINES
June 20, 2022: Abstract (draft / expression of interest: just a general idea of what your paper will be about).
Why not submitting it right now? You can change it later if needed.
June 30, 2022: Full text for double-blind review.
August 15, 2022: Notification of acceptance.
August 26, 2022: Camera-ready and payment deadline.
== CALL FOR WORKSHOPS and TUTORIALS
Submit your workshop or tutorial proposal, see the calls on the webpage.
PLEASE CIRCULATE this CFP among your colleagues and students.
We apologize if you receive multiple copies.
Symposium on Algorithmic Information Theory and Machine Learning
May 12th, 2022 Daniela Lopez de Luise The goal of this symposium is to explore the interface between Algorithmic Information Theory (AIT) and Machine Learning (ML).
Algorithmic Information Theory studies complexity measures on data structures and the goal of this symposium is to bring together researchers applying tools of AIT, and particularly Kolmogorov Complexity, to ML in order to identify the domain of applicability of certain ML methods and explain, for example, why certain methods in ML will a priori work so well for certain problems or a priori won't work for other problems. Other questions of interest are the applications of Solomonoff induction, algorithmic probability approaches to probability predictions, links between information, learning, and data compression, developing/using ML algorithms for (better) compression/prediction trying to approximate Kolmogorov Complexity etc.
Organizing committee: Boumediene Hamzi, Kamaludin Dingle, Marcus Hutter, and Robert MacKay.
If you are interested in attending the event in-person or online, please fill the form here.
https://docs.google.com/forms/d/1pYp0x5qTQNj7tfElsXx-TninWvSEU1neCd1EnEnsjpo/edit
If you are interested in giving a talk, please contact Boumediene Hamzi, <bhamzi@turing.ac.uk>
Food and Refreshments: During all days, morning and afternoon drinks and snacks are provided during dedicated Refreshment Breaks. Participants are advised to make their own arrangements during the Lunch Breaks (there are different options inside and around the British Library).
More information: http://www.hutter1.net/ait.htm
CfP FORESTS Workshop (at ICPR 2022) – Image Analysis for Forest Environmental Monitoring
May 12th, 2022 Daniela Lopez de Luise We are accepting papers (4 page + references, ICPR format) by the 6th of June 2022, for presentation at the workshop FORESTS, to be held in conjunction with ICPR 2022.
FORESTS: Image Analysis for Forest Environmental Monitoring
https://sites.google.com/edu.ulisboa.pt/foresticpr2022
Introduction
=========
Forests are key resources for sustaining life on earth. Large-scale and mid-scale monitoring of forest environments can be done in cost-effective ways through remote sensing and airborne or land-based sensor analysis, automating many of the processes with current machine learning and pattern recognition methods. Higher quality sensors (higher resolution, spectral bands) and acquisition technologies are becoming increasingly available both for new earth observation satellites, terrestrial observation towers, and aerial vehicles (manned and unmanned). Both individually and in combination, these different observation methods can provide valuable data for resource management policies or first response action to abnormal events.
Scope
=====
This workshop will cover all aspects of the acquisition and analysis of aerial image (latu sensu, including RGB, hyperspectral, multispectral, LiDAR, radar), and video acquired from airborne and/or spaceborne sensors, that have an impact in the monitoring of forest environments.
Topics include, but are not limited to:
# Classification, detection and segmentation of vegetation cover
# Detection and tracking for monitoring animal life in forest environments.
# Measurement of humidity, temperature and biomass of vegetation cover
# Detection and segmentation of fire, smoke and burned area in wildfire events.
# UAVs in the monitoring of forest environments.
# Multispectral and hyperspectral image sensors and methods for forest analysis.
# Geo-localization and mapping of events and landmarks in forest areas
# Data acquisition from airborne and spaceborne sensors
# Public datasets that contain aerial images/videos of forest environments
# Benchmarking of aerial image/video analysis methods in forest environments.
# 3D reconstruction of forest environment with airborne image, video, LiDAR, Radar.
# Real-time data analysis for early detection and forecasting progression of wildfires.
# Combining large-scale/high latency satellite data with low-scale/low-latency aerial data.
Important Dates
============
# Submission Deadline: June 6, 2022, 24h (AoE).
# Acceptance Notification: July 6, 2022.
# Workshop: August 21, 2022. (Exact Date & Time: TBA)
Invited Speakers
=============
The workshop will feature several prominent names in the field of image analysis for environmental monitoring, including:
# Turgay Celik (Univ. of the Witwatersrand, Johannesburg, South Africa)
# Luis Merino (Univ. Pablo de Olavide, Sevilla, Spain)
# Luis Mejias (Queensland University of Technology, Australia)
Submission
=========
Submit your paper via Easychair: https://easychair.org/conferences/?conf=forest2022
For paper submissions, ICPR guidelines are followed.
Other questions should be emailed to foresticpr2022@gmail.com
For more information:
=================
AITP 2022 FINAL CALL FOR CONTRIBUTIONS – EXTENDED DEADLINE May 10
May 12th, 2022 Daniela Lopez de Luise FINAL CALL FOR CONTRIBUTIONS – EXTENDED DEADLINE
Artificial Intelligence and Theorem Proving,
AITP 2022
September 4-9, 2022, Aussois and online, France
http://aitp-conference.org/2022
Deadline: Extended to May 10, 2022
https://easychair.org/conferences/?conf=aitp2022
BACKGROUND
Large-scale semantic processing and strong computer assistance of
mathematics and science is our inevitable future. New combinations of
AI and reasoning methods and tools deployed over large mathematical
and scientific corpora will be instrumental to this task. The AITP
conference is the forum for discussing how to get there as soon as
possible, and the force driving the progress towards that.
TOPICS
– AI, machine learning and big-data methods in theorem proving and mathematics.
– Collaboration between automated and interactive theorem proving, in
particular their AI/ML aspects.
– Common-sense reasoning and reasoning in science, relations to general AI.
– Alignment and joint processing of formal, semi-formal, and informal
libraries, Formal Abstracts.
– Methods for large-scale computer understanding of mathematics and science.
– Combinations of linguistic/learning-based and semantic/reasoning methods
– Formal verification of AI and machine learning algorithms, explainable AI .
SESSIONS
There will be several focused sessions on AI for ATP, ITP, mathematics,
physics, relations to general AI, Formal Abstracts, linguistic processing of
mathematics/science, modern AI and big-data methods, and several
sessions with contributed talks. The focused sessions will be based on
invited talks and discussion oriented. Most of the sessions will be
scheduled in the afternoons to allow US participants.
CONFIRMED (VIRTUAL) PARTICIPANTS/SPEAKERS (TBC)
João Araújo, Universidade Nova de Lisboa
Kevin Buzzard, Imperial College London
Walter Dean, University of Warwick
Michael R. Douglas, Stony Brook University
Thibault Gauthier, Czech Technical University in Prague
Ben Goertzel, SingularityNET
Thomas C. Hales, University of Pittsburgh
Mikoláš Janota, University of Lisbon
Cezary Kaliszyk, University of Innsbruck
Peter Koepke, University of Bonn
Michael Kinyon, University of Denver
Tomáš Mikolov, Czech Technical University in Prague
Alberto Naibo, University Paris 1
Miroslav Olsak, IHES
Adam Pease, Articulate Software
Talia Ringer, University of Illinois at Urbana-Champaign,
Stephan Schulz, DHBW Stuttgart
Martin Suda, Czech Technical University in Prague
Josef Urban, Czech Technical University in Prague
Robert Veroff, University of New Mexico
Petr Vojtěchovský, University of Denver
Freek Wiedijk, Radboud University Nijmegen
Stephen Wolfram, Wolfram Research
CONTRIBUTED TALKS
We solicit contributed talks. Selection of those will be based on
extended abstracts/short papers of 2 pages formatted with easychair.cls.
Submission is via EasyChair (https://easychair.org/conferences/?conf=aitp2022).
The extended abstracts are considered non-archival.
DATES
Submission deadline: Extended to May 10, 2022
Author notification: June 13, 2022
Conference registration: TBA
Camera-ready versions: TBA
Conference: September 4-9, 2022
POST-PROCEEDINGS
We will consider an open call for post-proceedings in an established
series of conference proceedings (LIPIcs, EPiC, JMLR) or a journal
(AICom, JAR, JAIR).
PROGRAM COMMITTEE (TBC)
Jasmin Christian Blanchette, INRIA Nancy
Michael R. Douglas (co-chair), Stony Brook University
Ulrich Furbach, University of Koblenz
Thibault Gauthier, Czech Technical University in Prague
Thomas C. Hales (co-chair), University of Pittsburgh
Sean Holden, University of Cambridge
Mikoláš Janota, University of Lisbon
Cezary Kaliszyk (co-chair), University of Innsbruck
Michael Kinyon, University of Denver
Peter Koepke, University of Bonn
Michael Kohlhase, FAU Erlangen-Nürnberg
Konstantin Korovin, The University of Manchester
Ramana Kumar, DeepMind
Adam Pease, Articulate Software
Michael Rawson, TU Wien
Stephan Schulz (co-chair), DHBW Stuttgart
Christian Szegedy, Google Research
Josef Urban (co-chair), Czech Technical University in Prague
Sean Welleck, University of Washington
Sarah Winkler, University of Innsbruck
Zsolt Zombori, Alfréd Rényi Institute of Mathematics
LOCATION AND PRICE
The conference will take place from September 4 to September 9 2022
online and physically in the CNRS Paul-Langevin Conference Center
(https://www.caes.cnrs.fr/sejours/centre-paul-langevin/) located in
the mountain village of Aussois in Savoy. Dominated by the “Dent
Parrachée”, one of the highest peaks of La Vanoise, Aussois is located
on a sunny plateau at 1500 m altitude, offering a magnificent panorama
of the surrounding mountains and a direct access to the park of La
Vanoise in summer and downhill ski slopes or cross country slopes in
winter. The total price for accommodation, food and registration for
the five days will be around 600 EUR. Online participation will be most likely
for free but may be limited to relevant participants.
ARRIVAL/DEPARTURE
Aussois is less than 2h from the airports of Lyon, Geneve, Chambery,
Annecy, Grenoble and Turin. There are trains and buses from these
airports. Aussois is 7km from the Modane TGV station with direct
trains from/to Paris. We will organize a bus for the participants from
there to Aussois. Further buses to these airports / station can be
found at http://www.altibus.com/ .
FUNDING
The travel, accommodation, and registration of a number of
participants will be supported by the Cost Action CA20111 – European
Research Network on Formal Proofs. See the web page
(http://aitp-conference.org/2022/#funding) for details and updates.
ORGANIZERS
Cezary Kaliszyk and Josef Urban