Top Tweets for #aaaimake
We had the pleasure of showcasing our approach to "Neural Networks for Design Thinking" at the #AAAIMAKE 2023 Spring Symposium - A recognition service for haptic modelling objects using the Scene2Model tool! Access the paper ๐https://t.co/xqCpVCLjt4
Excited to touch down at SF for @RealAAAI symposium on Machine learning And Knowledge Engineering (MAKE) starting tomorrow. Looking forward to meet fellow researchers in person!
#aaai #aaaimake #sanfrancisco
The #AAAIMAKE Symposium has just started ๐ after Dr. @andreasmartin intro, now itโs the turn of Natasha Noyโs keynote.
Quick note: We will be presenting a demo in Session H this week (Wednesday March 24) at the #AAAIMAKE symposium. More to come https://t.co/JymzqhIfp4
The preprint of "A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems" presented by @FrankVanHarmele at #AAAIMAKE is now available in arXiv https://t.co/0tEMN55agZ
Such a nice article from @willknight https://t.co/HFOphVKqjF very much in line with our recent AAAI Symposium #AAAIMAKE and specially with the analogy proposed by @andreasmartin on how babies learn
RT @MarcoBrambi: RT @hgfill: Impressions from the AAAI Symposium on Combining Machine Learning with Knowledge Engineering #aaaimake, AI future lies in combination of symbolic and sub-symbolic approaches #stanford
My recent presentation for the paper "Metrics for Evaluating Quality of Embeddings for Ontological Concepts" #aaaimake #embeddings https://t.co/bUtph8LYKV via @SlideShare
Writeup of #Keynote by Doug Lenat on Statistical Learning and Knowledge Engineering at #AAAIMAKE om @medium @TDataScience #ML #machinelearning #AI at #AAAI #springsymposium #artificialintelligence https://t.co/1wVqPWropB (no paywall link)
We're combining #machinelearning with the DIDEO #drugdruginteractions #ontology to identify papers' #methods/#studydesign. Linh just presented at #AAAIMAKE. Poster: https://t.co/V0sGxmuTYf Poster-paper: https://t.co/M8w2UZGE66 Joint work with @bhaapgh & @uamshealth 2 colleagues.
#iSchoolUI PhD student Linh Hoang presented her research with Assistant Professor @jschneider at the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering, which was held March 25-27 at Stanford University. https://t.co/NccGvK2bJK
Closing session of the Symposium #AAAIMAKE
Thank you very much to all of the participants for your priceless and significant contribution! Have a safe trip back home and see you soon!!!
Charles Vardeman II presenting his work on โLeveraging Wikipedia for Ontology Pattern Population from Textโ #AAAIMAKE
Using an expert's prediction as residual input to a NN for sequence prediction. Muhammad Ali Chattha at #aaaimake
Emanuele Laurenzi is presenting his work on Towards an Assistive and Pattern Learning-driven Process Modeling Approach #aaaimake
Emanuele Laurenzi is presenting his work on Towards an Assistive and Pattern Learning-driven Process Modeling Approach #aaaimake
Presented our latest work "DEXTER - Data EXTraction & Entity Recognition for Low Resource Datasets" at the AAAI Spring Symposium. Joint work with my good friends and colleagues @nihalnayak @saagar_rao #aaaimake @StrideText
Paper: https://t.co/lPZwsal77j
Other professors and doctoral students are joining the machine learning track #keynote #aaai #aaaimake #MachineLearning @Stanford @andreasmartin @knuthinkelmann
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