Spain

ECAI 2020

CryptoSPN: Privacy-preserving Sum Product Network Inference

sum-product network

privacy-preserving

probabilistic

privacy

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines. AAAI-23 is the Thirty-Seventh AAAI Conference on Artificial Intelligence. The theme of this conference is to create collaborative bridges within and beyond AI. Like previous AAAI conferences, AAAI-23 will feature technical paper presentations, special tracks, invited speakers, workshops, tutorials, poster sessions, senior member presentations, competitions, and exhibit programs, and two new activities: a Bridge Program and a Lab Program. Many of these activities are tailored to the theme of bridges and all are selected according to the highest standards, with additional programs for students and young researchers. 
AAAI is providing you with a conference planner, which you can use to help organize your itinerary of activities. This includes talks to attend in person, talks to attend remotely, breaks with colleagues and your site seeing activities. To access this conference planner, please go to [https://aaai-2023.takemobi.io](https://aaai-2023.takemobi.io).

In order to access this site, you need to register. If you haven't already, please register [here](https://aaai.org/Conferences/AAAI-23/registration/).


AAAI 2023

The purpose of the AAAI conference series is to promote research in Artificial Intelligence (AI) and foster scientific exchange between researchers, practitioners, scientists, students, and engineers across the entirety of AI and its affiliated disciplines.

technical paper

ECAI2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI, including:




**An extensive programme of workshops, tutorials, and invited speakers**

**The Prestigious Applications of Intelligent Systems conference (PAIS)**

**The Frontiers in AI track sessions**

**The Lab To Market event**

**The Women in AI time**

**The EU Challenges forum**

… and many more!

ECAI 2020 featured a full programme of technical papers, as well as many AI-related events of interest for researchers, students and all attendants who are interested on contemporary AI.

CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection

Improving VAE generations of multimodal data through data-dependent conditional priors

Explanations for Ontology-Mediated Query Answering in Description Logics

A Fuzzy Inference System for a Visually Grounded Robot State of Mind

Neural Network Heuristics for Classical Planning: A Study of Hyperparameter Space

Maximal Information Propagation with Budgets

On the Complexity of Constructive Control under Nearly Single-Peaked Preferences

RPN: A Residual Pooling Network for Efficient Federated Learning

Logic is responsible for scientific progress in many disciplines.  In particular, computer science and AI would be impossible  without it. Classical logics have long been accepted as a normative
 framework for human reasoning to capture correct reasoning. However,  many psychological findings such as the Wason Selection Task  have demonstrated that classical logic cannot serve as a possible  descriptive language for the human inference process, which is the   aim of what we call a cognitive logic. Recently, some nonmonotonic  logics have been employed to explain human inferences for some  well-known examples. In this paper, we discuss possible features of
 cognitive logics, present first results, and highlight new challenges.

Cognitive Logics: Features, Formalisms, and Challenges

This paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computation, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations

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CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection

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CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection

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Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model

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