[Oct 16th 2019] LabMeeting: Analysis of the transcriptome and traslatome in solid tumors using RNA-seq and Ribo-seq technologies

Giorgia Giacomini (University of Siena) Oct 16, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Over the past decades, the introduction of massively parallel sequencing platforms, known as Next Generation Sequencing (NGS), changed the landscape of the genetics studies in cancer genomics. NGS technologies allow for detection and quantification of […]

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[Oct 9th 2019] LabMeeting: Pseudo-Random Numbers Generation – a Reinforcement Learning approach

Luca Pasqualini (DIISM, University of Siena) Oct 9, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Pseudo-Random Numbers Generators (PRNGs) are algorithms produced to generate long sequences of statistically uncorrelated numbers, i.e. pseudo-random numbers (PRNs). Those numbers are used in mid-level cryptography and in many software applications and libraries. Test […]

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[Sep 25th 2019] LabMeeting: Knowledge graphs for image classification and semantic navigation – from reality to virtual worlds

Matteo Tiezzi (DIISM, University of Siena) Sep 25, 2019 – 3:00 PM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description One characteristic that sets humans apart from modern learning-based computer vision algorithms is the ability to acquire knowledge about the world and use that knowledge to reason about the visual world. Humans can learn […]

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[Sep 4th 2019] LabMeeting: Jointly Learning to Detect Emotions and Predict Facebook Reactions

Lisa Graziani (DIISM, University of Siena) Sep 4, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description The growing ubiquity of Social Media data offers an attractive perspective for improving the quality of machine learning-based models in several fields, ranging from Computer Vision to Natural Language Processing. In this paper we […]

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[Aug 28th 2019] A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns

Nicola Gatti (Politecnico di Milano) Aug 28, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Pay-per-click advertising includes various formats (e.g., search, contextual, and social) with a total investment of more than 140 billion USD per year. An advertising campaign is composed of some subcampaigns-each with a different ad-and a […]

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[Jul 31st 2019] LabMeeting: Multi-modal siamese network for diagnostically similar lesion retrieval in prostate MRI

Alberto Rossi (DIISM, University of Siena) Jul 31, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Prostate Multi-parametric MRI (mpMRI) is a great tool to diagnose prostate cancer but is difficult to interpret even for expert radiologists. A common radiological procedure to analyze a difficult case is to compare it […]

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[Jul 24th 2019] LabMeeting: On the Role of Time in Learning

Alessandro Betti (DIISM, University of Siena) Jul 24, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description By and large the process of learning concepts that are embedded in time is regarded as quite a mature research topic. Hidden Markov models, recurrent neural networks are, amongst others, successful approaches to learning […]

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[Jul 25th 2019] Learning to Recognize Actions in Videos

Oswald Lanz (FBK) Jul 25, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description In 2015 the first artificial system has been reported to beat human performance on ImageNet visual recognition, with Top-5 error rate below 5%. This has not happened with video yet, for example, the best-ranked entry in the […]

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[Jul 10th 2019] LabMeeting: ClusterNet: Detecting Small Objects in Large Scenes by Exploiting Spatio-Temporal Information

Giorgio Ciano (DIISM, University of Siena) Jul 10, 2019 – 11:00 AM DIISM, Artificial Intelligence laboratory (room 201), Siena SI Description Object detection in wide area motion imagery (WAMI) has drawn the attention of the computer vision research community for a number of years. WAMI proposes a number of unique challenges including extremely small object […]

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