IJCAI

Causal Knowledge Extraction: An Evaluation using Automated Binary Causal Question Answering

At IJCAI'19, IBM researchers present new results on causal knowledge extraction from large amounts of text for applications in enterprise risk management.

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IBM Research AI @ IJCAI 2019

At IJCAI-19, IBM Research AI will present technical papers exploring a variety of topics in AI including neurosymbolic reasoning, explainability, adversarial robustness, computational linguistics, graph analysis, optimization, and reinforcement learning.

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IBM Research AI at IJCAI-ECAI 2018

The 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018) takes place July 13–19 in Stockholm, Sweden. IJCAI-ECAI is part of the Federated AI Meeting (FAIM), which also includes the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), the International Conference on Machine Learning (ICML), the […]

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Removing the hunch in data science with AI-based automated feature engineering

For data scientists, predictive modeling is the practice of predicting future outcomes using statistical models. Its increasing adoption in the field of AI includes diagnosing cancer, predicting hurricanes and optimizing supply chains, amongst other areas. However, the value of predictive modeling comes at the cost of practicing it. The cornerstone of successful predictive modeling, known […]

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IBM Research at IJCAI: Pushing new AI frontiers from Down Under

For the first time in 26 years, Australia is hosting the globally revered International Joint Conference for Artificial Intelligence (IJCAI). The greatest minds in artificial intelligence (AI) from across the globe will descend on Melbourne next week to present the latest advancements in training machines to learn, reason and interact in a natural, human-like way.  […]

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