日本データベース学会の皆様
（重複してお受け取りになった場合はご容赦ください）
同志社大学の桂井です。お世話になっております。
来年5月25日〜28日に大阪で開催されるPAKDD2023に関しまして、投稿締切が*** *2022年12月7日（水）****
に延長されました。皆様からのご投稿をお待ちしております。
論文投稿に加え、*ワークショップ*のご提案もお待ちしております。
機械学習・データマイニング・データサイエンスの基礎や応用、学際的な話題など幅広いトピックを歓迎いたします。プログラムには招待講演などを含めることも可能です。
https://pakdd2023.org/cfw/
ワークショップの提案締切は2022年12月1日（木）となっています。
どうぞよろしくお願いいたします。
========================================================
[Final Call for Papers]
The 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD 2023)
May 25-28, 2023 - Osaka, Japan (Onsite/online hybrid)
http://pakdd2023.org/
[Important Dates]
Paper Submission Deadline: Dec. 7, 2022
Paper Acceptance Notification: Feb. 7, 2023
Camera Ready Papers Due: Mar. 10, 2023
*All deadlines are 23:59 Pacific Standard Time (PST)
[Paper submission]
https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FPAKDD2023
===============================================================
The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
is one of the longest established and leading international conferences in
the areas of data mining and knowledge discovery. It provides an
international forum for researchers and industry practitioners to share
their new ideas, original research results, and practical development
experiences from all KDD related areas, including data mining, data
warehousing, machine learning, artificial intelligence, databases,
statistics, knowledge engineering, visualization, decision-making systems,
and the emerging applications.
The 27th edition of PAKDD will be held in Osaka, Japan, from May 25 to May
28, 2023.
The venue will be a hybrid of onsite and online.
[Topics]
PAKDD2023 welcomes high-quality, original, and previously unpublished
submissions in the theories, technologies, and applications on all aspects
of knowledge discovery and data mining. Topics of relevance for the
conference include, but not limited to the following.
Methods and algorithms:
Anomaly and outlier detection, Association rule, Classification,
Clustering, Data mining pipelines, Deep learning, Dimensionality detection
and feature selection, Ethics and fairness, Graphs and networks,
Interpretability and explainability, Kernel methods, Matrices and tensors,
Online and streaming algorithms, Parallel and distributed mining,
Probabilistic models and statistical inference, Regression, Reinforcement
learning, Relational learning, Security and privacy, Semi-supervised and
unsupervised learning, Theoretical foundations, Transfer learning and meta
learning, and Visualization and user interface.
Applications:
Big data, Computational Advertising, Financial data, Information retrieval
and search, Internet of Things, Intrusion and fraud detection, Medical and
biological data, Multimedia and multimodal data, Recommender systems,
Robotics, Scientific data, Social network analysis, Spatio-temporal data,
Texts, web, social media, and Time-series and streaming data.
[Paper Submission]
Paper submission must be in English. All papers will be double-blind
reviewed by the Program Committee based on technical quality, relevance to
data mining, originality, significance, and clarity. All paper submissions
will be handled electronically. Papers that do not comply with the
Submission Policy will be rejected without review.
Each submitted paper must include an abstract up to 200 words and be no
longer than 12 single-spaced pages with 10pt font size (including
references, appendices, etc.). Authors must use Springer LNCS/LNAI
manuscript submission guidelines for their submissions. All papers must be
submitted electronically through the CMT paper submission system in PDF
format only. Supplementary material may be submitted as a separate PDF
file, but reviewers are not obligated to consider this, and your manuscript
should, therefore, stand on its own merits without any supplementary
material. Supplementary material will not be published in the proceedings.
We require that any submission to PAKDD must not be already published or
under review at another archival conference or journal. Papers on arXiv do
not violate this rule as long as the submitted paper does not cite them.
Submitting a paper to the conference means that if the paper was accepted,
at least one author will complete the regular registration and attend the
conference to present the paper. For no-show authors, their papers will not
be included in the proceedings.
The conference will confer several awards, including Best Paper Award, Best
Student Paper Award, and Best Application Paper Award from the submissions.
Springer will publish the proceedings of the conference as a volume of the
LNAI series.
[Double-Blind Review]
Paper submission must adhere to the double-blind review policy. Submissions
must remove all details identifying the author(s) from the original
manuscript (including the supplementary files, if any), and the author(s)
should refer to their prior work in the third person and include all
relevant citations.
Because of the double-blind review process, non-anonymous papers that have
been issued as technical reports or similar cannot be considered for
PAKDD2023. An exception to this rule applies to manuscripts that were
published in arXiv not later than October 24, 2022, i.e., at least a month
before PAKDD’s submission deadline.
The author list and order cannot be changed after the paper is submitted.
[Formatting Template]
Formatting Template:
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…
.
All the Manuscripts must be prepared and submitted in accordance with the
above format. Usage of other formats may lead to disqualification of paper
for the conference.
[Submission Site]
https://cmt3.research.microsoft.com/PAKDD2023
[Contact Information]
Program Co-Chairs of PAKDD2023
Hisashi Kashima, Wen-Chih Peng, Tsuyoshi Ide
pakdd2023(a)gmail.com
--
*************************************
Marie Katsurai, PhD
Associate Professor
Department of Intelligent Information Engineering and Sciences
Doshisha University
E-mail: katsurai(a)mm.doshisha.ac.jp
Website: https://mm.doshisha.ac.jp/
日本データベース学会の皆様：早稲田大学の鷲崎です。機械学習やデータ関連
の話題も豊富に含む形で国際会議APSEC2022をオンライン開催しますので
お知らせさせて頂きます。学生は参加無料ですのでぜひよろしくお願いします。
＝＝＝＝
【参加募集】（学生無料、11月30日締切）
第29回 アジア太平洋ソフトウェア工学会議
Asia-Pacific Software Engineering Conference (APSEC 2022)
https://conf.researchr.org/home/apsec-2022
12月6-9日 オンライン 6th-9th December 2022, virtual online
●基調講演
"Machine Learning Systems Engineering: Retrospective of Five-Year Activities in Japan"
（機械学習システム工学: 日本における5年間の活動の振り返り）
Hiroshi Maruyama (Kao Corporation, Preferred Networks, Inc., and The University of Tokyo)
"Improving Development of ML-Enabled Systems through Software Architecture"
（ソフトウェアアーキテクチャを通じた機械学習システムの開発改善）
Grace A. Lewis (Carnegie Mellon Software Engineering Institute)（ICSE2022 ベストペーパ受賞）
"On the Search for Effective Metamorphic Relations: Overview, Challenges and Opportunities"
（効果的なメタモルフィック関係の探求: 概要、課題、機会）
Shing-Chi Cheung (Hong Kong University of Science and Technology)
●チュートリアル
"Process Mining for Software Engineers"
（ソフトウェア技術者のためのプロセスマイニング）
Wil van der Aalst (RWTH Aachen University & Celonis)
●パネル
"Evolution and use cases of the Guide to the Software Engineering Body of Knowledge (SWEBOK) in academia and industry"
（ソフトウェア工学知識体系SWEBOKガイドの進化と活用）
Moderator:
Hironori Washizaki (Waseda University / National Institute of Informatics / SYSTEM INFORMATION / eXmotion, Japan)
Panelists:
Juan Garbajosa (Universidad Politecnica de Madrid, Spain)
Pankaj Kamthan (Concordia University, Canada)
Kenneth E Nidiffer (George Mason University, USA)
Steve Schwarm (Retired/Part-Time Synopsys - Black Duck Software, USA)
Steve Tockey (Construx Software, USA)
●主催
The Special Interesting Group on Software Engineering (SIGSE) of Information Processing of Japan (IPSJ)
（情報処理学会ソフトウェア工学研究会）
●シルバースポンサー
Hitachi, Ltd.
（日立製作所）
●概要
1993年に設立されたアジア太平洋ソフトウェア工学会議（APSEC）は、特にアジア太平洋地域におけるソフトウェア工学および技術に関する主要な国際フォーラムです。APSEC 2022は、研究者、実務者、教育者を含むソフトウェア工学の専門家が集まり、重要な新しい研究成果を説明し、貴重なプロジェクトの経験を報告し、学術、産業、政府間の幅広いコミュニケーションと協力関係を促進することを目的としています。
本会議のプログラムは、技術研究トラック42件、ソフトウェア工学実践トラック5件、早期研究成果トラック14件、ソフトウェア工学教育トラック5件、ポスター発表20件から構成されています。技術研究トラックでは、以下のようなトピックがあります: 実証研究、機械学習、モデル検査、マイグレーションと可視化、ソースコード解析、スマートコントラクト、バグレポート、アジャイル、ビジネスプロセス、ヒューマンアスペクト、レビューと自然言語処理、マイクロサービスとWeb、テスト、記号実行。
●ワークショップ
APSEC 2022では、12月6日に以下のワークショップが開催されます。
The 1st Asia-Pacific Software Engineering and Diversity, Equity, and Inclusion (APSEDEI)
The 1st International Workshop on Intelligent Software Engineering
The 3rd International Workshop on Intelligent Software Engineering Automation (ISEA)
The 3rd Workshop on NLP Advancements for Software Engineering (NLPaSE)
The 4th International Workshop on Experience with SQuaRE and its future direction (IWESQ)
The 6th Software Engineering Education Workshop (SEED)
The 10th International Workshop on Quantitative Approaches to Software Quality (QuASoQ)
●参加・登録
オンライン参加登録は11月30日まで受け付けています
（2022年12月1日（木）00:00 JSTに終了予定）。
参加者の皆様には、ウェブサイト
https://conf.researchr.org/attending/apsec-2022/registration
の説明に従ってご登録をお願いします。
＝＝＝＝
※重複してお受け取りの際はご容赦ください．
関連研究者の皆様，
名古屋大学の東中です．
Advanced Robotics (Taylor&Francis)ジャーナルの特集号
"Multimodal Processing and Robotics for Dialogue Systems"
のご案内をさせていただきます．〆切は2023/1/31 です．
https://think.taylorandfrancis.com/special_issues/advanced-robotics-multimo…https://www.rsj.or.jp/content/files/pub/ar/CFP/CFP_37_21.pdf
皆様からのご投稿をお待ちしています．
もし周りのご興味をお持ちの方がいらっしゃいましたら，
本メールをぜひ転送ください．
よろしくお願いいたします．
/////////////////////////////////////////////////////////////////////////
[Call for Papers]
Advanced Robotics Special Issue on
Multimodal Processing and Robotics for Dialogue Systems
Co-Editors:
Prof. David Traum (University of Southern California, USA)
Prof. Gabriel Skantze (KTH Royal Institute of Technology, Sweden)
Prof. Hiromitsu Nishizaki (University of Yamanashi, Japan)
Prof. Ryuichiro Higashinaka (Nagoya University, Japan)
Dr. Takashi Minato (RIKEN/ATR, Japan)
Prof. Takayuki Nagai (Osaka University, Japan)
Publication in Vol. 37, Issue 21 (Nov 2023)
SUBMISSION DEADLINE: 31 Jan 2023
In recent years, as seen in smart speakers such as Google Home and
Amazon Alexa, there has been remarkable progress in spoken dialogue
systems technology to converse with users with human-like utterances.
In the future, such dialogue systems are expected to support our daily
activities in various ways. However, dialogue in daily activities is
more complex than that with smart speakers; even with current spoken
dialogue technology, it is still difficult to maintain a successful
dialogue in various situations. For example, in customer service
through dialogue, it is necessary for operators to respond
appropriately to the different ways of speaking and requests of
various customers. In such cases, we humans can switch the speaking
manner depending on the type of customer, and we can successfully
perform the dialogue by not only using our voice but also our gaze and
facial expressions.
This type of human-like interaction is far from possible with the
existing spoken dialogue systems. Humanoid robots have the possibility
to realize such an interaction, because they can recognize not only
the user's voice but also facial expressions and gestures using
various sensors, and can express themselves in various ways such as
gestures and facial expressions using their bodies. Their many means
of expressions have the potential to successfully continue dialogue in
a manner different from conventional dialogue systems.
The combination of such robots and dialogue systems can greatly expand
the possibilities of dialogue systems, while at the same time,
providing a variety of new challenges. Various research and
development efforts are currently underway to address these new
challenges, including "dialogue robot competition" at IROS2022.
In this special issue, we invite a wide range of papers on multimodal
dialogue systems and dialogue robots, their applications, and
fundamental research. Prospective contributed papers are invited to
cover, but are not limited to, the following topics on multimodal
dialogue systems and robots:
*Spoken dialogue processing
*Multimodal processing
*Speech recognition
*Text-to-speech
*Emotion recognition
*Motion generation
*Facial expression generation
*System architecture
*Natural language processing
*Knowledge representation
*Benchmarking
*Evaluation method
*Ethics
*Dialogue systems and robots for competition
Submission:
The full-length manuscript (either PDF file or MS word file) should be
sent by 31st Jan 2023 to the office of Advanced Robotics, the Robotics
Society of Japan through the on-line submission system of the journal
(https://www.rsj.or.jp/AR/submission). Sample manuscript templates and
detailed instructions for authors are available at the website of the
journal.
