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Scalable Uncertainty Mangement 2024 (November 27-29, Palermo):
by Giuseppe Sanfilippo 06 Jun '24

06 Jun '24

Our apologies if you receive multiple copies of this mail. =================================== Conference announcement + key dates =================================== The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. See: https://sum2024.unipa.it/ Key dates (CET 23:59): Abstract Submission (optional but useful to organizers): June 17, 2024 Paper Submission: June 24, 2024 Notification: August 31, 2024 Camera-ready copies: September 15, 2024 Conference: Nov. 27-29, 2024 ============= Description ============= Established in 2007, the SUM conferences are currently bi-annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. ===================== Topics of Interest ===================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results ======================== Submission Guidelines ======================== SUM 2024 solicits original papers in the following three categories: - Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers - Short papers (between 4 and 7 pages, references excluded): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines:https://www.springer.com/gp/computer-science/lncs/conference-pro… Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2024 ============= Publication ============= Accepted long (at most 14 pages) and short papers (2-7 pages) will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted abstracts (2 pages) will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet). ========================================================================================= Organization ========================================================================================= Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair Maria Vanina Martinez (IIIA-CSIC), PC Co Chair Giuseppe Sanfilippo, (University of Palermo), General/Local Chair

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Bando Scuola di Dottorato in Scienze Sociali ed Economiche
by Roy Cerqueti 06 Jun '24

06 Jun '24

Buongiorno, si segnala la pubblicazione del bando di accesso alla Scuola di Dottorato in oggetto. Un curriculum si rivolge a data science per le scienze sociali, e credo possa essere di interesse. I candidati che volessero selezionare quel curriculum dovrebbero selezionare il curriculum 4. Maggiori informazioni si possono reperire qui. https://phd.uniroma1.it/web/SCUOLA-DI-DOTTORATO-IN-SCIENZE-SOCIALI-ED-ECONO… Il bando si trova a https://www.uniroma1.it/it/pagina/ammissione-ai-corsi-di-dottorato. *La scadenza per la presentazione delle domande è fissata inderogabilmente al 20 giugno 2024, ore 23:59.* Cari saluti, Roy Cerqueti -- *Fai crescere le giovani ricercatrici e i giovani ricercatori*** *con il 5 per mille alla Sapienza* Scrivi il codice fiscale dell'Università *80209930587 **Cinque per mille <https://www.uniroma1.it/it/node/23149>*

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Seminario Dr. Andrea Brancaccio, CNR-IMATI, 13/06/2024
by ANTONELLA BODINI 05 Jun '24

05 Jun '24

Si avvisa che in data 13-06-2024, alle ore 11:00 precise presso l'Area della Ricerca 1 del CNR, in sala A, il Dr. Andrea Brancaccio, CNR-IMATI, terrà un seminario dal titolo Adaptive Assessment of Knowledge and Planning Using Knowledge Space Theory Sunto: Adaptive individual assessment utilizes algorithms that adjust to each individual's ability based on their responses. This presentation will provide a comprehensive overview of the development and implementation of adaptive assessments using Knowledge Space Theory. It will also explore the theoretical foundations underlying this approach, highlighting its benefits and applications in educational and performance-based contexts. In these settings, this approach develops tools that minimize the number of questions asked while maximizing the information gathered about an individual's knowledge, competencies, abilities, and performance. Gli interessati possono partecipare in presenza o da remoto, attraverso il link sotto riportato. Per ragioni organizzative, gli interessati a partecipare in presenza sono pregati di rispondere a questa mail indicando la loro intenzione entro la mattina stessa del seminario. LINK: https://teams.microsoft.com/l/meetup-join/19%3ameeting_MmVjOGI4MTUtNDdiNi00… Cordialmente, Antonella Bodini

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Ph.D Course Introduction to stochastic partial differential equations, live stream
by Bertini, Lorenzo 05 Jun '24

05 Jun '24

The lectures by Sandra Cerrai of the course Introduction to stochastic partial differential equations will be available on line at the address https://umd.zoom.us/j/7371883183 the whiteboard will be available at https://scribbletogether.com/whiteboard/0CC42CD2-2EE2-4DB3-A135-A1AACED1A43D The first lecture will be today June 5 at 14:00 Lorenzo Bertini Dipartimento di Matematica Universita' di Roma La Sapienza | Tel: +39 - 06 4991 4974 P.le A. Moro 5, 00185 Roma | E-mail: bertini(a)mat.uniroma1.it Italy Home page: http://www.mat.uniroma1.it/people/bertini/ama/

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Seminar: Mark Steel @Ca' Foscari 13th June
by Roberto CASARIN 05 Jun '24

05 Jun '24

Dear all, We are happy to announce that our next seminar in statistics and econometrics at DEC, Ca' Foscari University, is quickly approaching: Speaker: Mark Steel (University of Warwick) Title: "Model Uncertainty in Latent Gaussian Models with Univariate Link Function (joint work with Gregor Zens)" Date and time: Thursday the 13th June, 12.15 GMT+2 Place: Meeting Room1, San Giobbe Campus, Department of Economics (DEC), Venice Abstract: We consider a class of latent Gaussian models with a univariate link function (ULLGMs). These are based on standard likelihood specifications (such as Poisson, Binomial, Bernoulli, Erlang, etc.) but incorporate a latent normal linear regression framework on a transformation of a key scalar parameter. We allow for model uncertainty regarding the covariates included in the regression. The ULLGM class typically accommodates extra dispersion in the data and has clear advantages for deriving theoretical properties and designing computational procedures. We formally characterize posterior existence under a convenient and popular improper prior and propose an efficient Markov chain Monte Carlo algorithm for Bayesian model averaging in ULLGMs. Simulation results suggest that the framework provides accurate results that are robust to some degree of misspecification. The methodology is successfully applied to measles vaccination coverage data from Ethiopia and to bilateral migration flow data between OECD countries. The talk will be streamed on Zoom at this link https://unive.zoom.us/s/89974935587 Meeting ID: 89974935587 Passcode: SteelJun24 For updates: https://www.unive.it/data/agenda/3/89253 We are looking forward to seeing you on June 13, best, rc -- Roberto Casarin, PhD Professor of Econometrics Ca' Foscari University of Venice San Giobbe 873/b - 30121 Venezia, Italy http://sites.google.com/view/robertocasarin/ https://www.unive.it/vera <https://www.unive.it/isba2024> https://www.unive.it/isba2024

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Seminari Yuliya Mishura
by epirozzi 04 Jun '24

04 Jun '24

AVVISO di SEMINARI Dipartimento di Matematica e Applicazioni "R. Caccioppoli" Università degli Studi di Napoli Federico II La Prof.ssa Yuliya Mishura, Department of Probability, Statistics and Actuarial Mathematics, Taras Shevchenko National University of Kyiv, Kyiv (Ukraine), i giorni 6 e 19 giugno 2024 terrà i seguenti seminari: Seminario 1 6 Giugno 2024 ore 11:30, aula G del Dipartimento di Matematica e Applicazioni R. Caccioppoli "Pathwise integration with respect to fractional Brownian motion" Abstract: We consider the main elements of the fractional calculus: fractional integrals and fractional derivatives, construct pathwise integrals with respect to Holder functions and apply this construction to fractional Brownian motion and other fractional processes. Microsoft Teams link: https://teams.microsoft.com/l/meetup-join/19%3aMQ4RZDBo_0G-K_PHxKtktVYAczOG… Seminario 2 19 Giugno 2024 ore 11:00, aula G del Dipartimento di Matematica e Applicazioni R. Caccioppoli "Entropy and alternative entropy functionals of fractional Gaussian noise" Abstract: we introduce the notion of Shannon entropy in application to fractional Gaussian noise and present its properties with respect to Hurst index. Alternative entropy functionals are constructed and studied. The prediction problem for fractional Gaussian noise is considered. Microsoft Teams link: https://teams.microsoft.com/l/meetup-join/19%3aMQ4RZDBo_0G-K_PHxKtktVYAczOG… Tutti gli interessati sono cordialmente invitati a partecipare. Luigia Caputo, Enrica Pirozzi e Roberta Schiattarella --------------------------------------------------------------------------------------

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Seminario Martin Kolodziejczyk - Politecnico di Milano - 5 Giugno 2024
by Luca Scarpa 04 Jun '24

04 Jun '24

Si segnala il seguente seminario a tutti gli interessati. Giovedì 5 Giugno 2024, ore 15. Aula Seminari - III Piano, Dipartimento di Matematica, Politecnico di Milano. Speaker: Martin Kolodziejczyk, Politecnico di Milano Title: McKean-Vlasov SPDEs Abstract: We consider McKean-Vlasov Stochastic Partial Differential Equations with additive noise. We will focus on their well-posedness and long-time behaviour; showing that, under some assumptions on the spatial regularity of the noise, these SPDEs are well-posed and the semigroup resulting from them is strong Feller and irreducible. This is based on joint work with L. Angeli, J. Barrè and M. Ottobre. Link Zoom: https://polimi-it.zoom.us/j/92358057734?pwd=dTNBNHZMQVFZVjgrQ0FJMXpOc3BEdz09 Link Seminario Polimi: https://www.mate.polimi.it/eventi/?id=2440 ----- Prof. Luca Scarpa, PhD Associate Professor in Probability Department of Mathematics Politecnico di Milano Via E. Bonardi 9 20133 Milano, Italy e.mail: luca.scarpa(a)polimi.it<mailto:luca.scarpa@polimi.it> url: https://sites.google.com/view/lucascarpa

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Assegno Mat06: Geometria dei campi aleatori ed applicazioni
by Domenico Marinucci 04 Jun '24

04 Jun '24

Dear colleagues, We are glad to announce a postdoc position (assegno di ricerca) at the Department of Mathematics of Università Rome Tor Vergata. The position is funded by the PRIN project GRAFIA (Geometry of Random Fields and its Applications) and by MUR Departement of Excellence Programme 2023-2027 MatModTov. The primary objective of the project is the study of random fields with a particular interest in their application to the area of neural networks and machine learning. - The position is for 2 years - The net salary is about 2,000 euros per month - The deadline for application is on July 1st - The starting date should be no later than september 2024 All the details can be found at the following link: https://pica.cineca.it/uniroma2/f3-2024-0012/ For any further question do not hesitate to contact me, best regards Domenico Marinucci -- @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@ Domenico Marinucci Dipartimento di Matematica Università di Roma Tor Vergata https://sites.google.com/view/domenicomarinucci @@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@

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Ph.D. position in Statistics at TU/e
by Elisa Perrone 03 Jun '24

03 Jun '24

Dear colleagues, I currently have a vacancy for a Ph.D. position in Statistics at TU/e on topic Dependence Modeling and Copulas. I would appreciate it if you could help me circulate the announcement and forward it to suitable candidates. Here is the link to the job description: https://jobs.tue.nl/en/vacancy/phd-in-statistics-1066918.html <https://jobs.tue.nl/en/vacancy/phd-in-statistics-1066918.html>. We review applications as they arrive, and the vacancy will remain open until filled. Thank you very much, and best wishes, Elisa --- Elisa Perrone, Ph.D. Assistant Professor Department of Mathematics and Computer Science Eindhoven University of Technology elisaperrone.info <http://elisaperrone.info/>

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PostDoc @ UNIBO
by Daniele Tantari 03 Jun '24

03 Jun '24

Dear colleagues, a new opening for an 18-month postdoc is now available at the University of Bologna. The research activity will focus on the project 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐀𝐧𝐨𝐦𝐚𝐥𝐲 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐨𝐧 𝐫𝐚𝐧𝐝𝐨𝐦 𝐧𝐞𝐭𝐰𝐨𝐫𝐤𝐬 with a focus on the introduction of probabilistic mathematical models for static and dynamic complex networks, and on the development of statistical inference methods for network reliability and for anomaly detection at both local and global scale. The (researcher side) gross amount of the fellowship contract is € 23.063,83 per annum (around 1.7 KEur per month). The deadline for applications on 𝐒𝐮𝐧𝐝𝐚𝐲, 𝐉𝐮𝐧𝐞 𝟑𝟎, 𝟐𝟎𝟐𝟒. The candidate will join the Mathematical Physics group<https://matematica.unibo.it/it/ricerca/ambiti-di-ricerca/fisica-matematica> <https://matematica.unibo.it/it/ricerca/ambiti-di-ricerca/fisica-matematica> at the Department of Mathematics, with the possibility of other collaborations in different topics. Further information about the call can be found at https://bandi.unibo.it/ricerca/assegni-ricerca...<https://bandi.unibo.it/ricerca/assegni-ricerca?id_bando=68030&fbclid=IwZXh0…> Interested candidates can also contact Dott.ssa Federica Gerace (federica.gerace(a)unibo.it) Prof. Gabriele Sicuro (gabriele.sicuro(a)unibo.it) Prof. Daniele Tantari (daniele.tantari(a)unibo.it) ----------------------------------- Daniele Tantari Dipartimento di Matematica Università di Bologna ITALY University website: https://www.unibo.it/sitoweb/daniele.tantari/

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