05689nas# 22004571i 450 UON0010063820231205102551.451122-633120020107a1977 |0itac50 baitaIT|||| |||||aA|||||||||Rivista italiana di dialettologialingue dialetti societaDipartimento di Studi Linguistici e Orientali, Facolta di Lettere e Filosofia, Università degli Studi di BolognaBologna : CLUEB v. ; 22 cmAnnuale Inizialmente semestraleUNIV. DI BOLOGNAIT-UONSI GLOTTC 2VI - 008/23 - 1999UNIV. di BOLOGNA - Dip. di Studi Linguistici e Orientali Facoltà di Lettere e FilosofiaIT-UONSI GLOTTC 2VI - 008/25 - 2001UNIV. degli STUDI di BOLOGNA Facoltà di Lettere e Filosofia Dip. di Studi Linguistici e OrientaliIT-UONSI GLOTTC 2VI - 008/26 - 2002UNIV. STUDI BOLOGNAIT-UONSI GLOTTC 2VI - 008/27 - 2003UNI BOLOGNAIT-UONSI GLOTTC 2VI - 008/29 - 2005UNI di BOLOGNAIT-UONSI GLOTTC 2VI - 008/28 - 2004UNI di BolognaIT-UONSI GLOTTC 2VI - 008/30 - 2006UNI di BOLOGNAIT-UONSI GLOTTC 2VI - 008/31 - 2007UNI di BOLOGNAIT-UONSI GLOTTC 2VI - 008/32 - 2008UNI di BOLOGNAIT-UONSI GLOTTC 2VI - 008/33 - 2009UNI di BOLOGNAIT-UONSI GLOTTC 2VI - 008/34 - 2010001UON003646062001 Lingue, dialetti, societàUON00401831RIDITBolognaUONL000085ˆUniversità degli StudiBolognaIstituto di ‰GlottologiaUONV018183Università degli studiBolognaDipartimento di studi linguistici e orientaliUONV097714CLUEBUONV246256650ITSOL20241213RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSI5-6(1981-1982)-8(1984);11(1987)-GLOTT C 2 VI 008 ;UON00100638SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI 5-6(1981-1982)-8(1984);11(1987)-SI GLOTT C 2 VI - 008 05-06 - 1981/1982 SI MC 7613 7 05-06 - 1981/1982 SI GLOTT C 2 VI - 008 07 - 1983 SI MC 7948 7 07 - 1983 SI GLOTT C 2 VI - 008 08 - 1984 SI MC 8761 7 08 - 1984 SI GLOTT C 2 VI - 008 11 - 1987 SI MC 13581 7 11 - 1987 SI GLOTT C 2 VI - 008 13 - 1989 SI MC 14120 7 13 - 1989 SI GLOTT C 2 VI - 008 14 - 1990 SI MC 15264 7 14 - 1990 SI GLOTT C 2 VI - 008 15 - 1991 SI MC 16008 7 15 - 1991 SI GLOTT C 2 VI - 008 16 - 1992 SI MC 16866 7 16 - 1992 SI GLOTT C 2 VI - 008 17 - 1993 SI MC 17501 7 17 - 1993 SI GLOTT C 2 VI - 008 19 - 1995 SI MC 19562 7 19 - 1995 SI GLOTT C 2 VI - 008 20 - 1996 SI MC 20503 7 20 - 1996 SI GLOTT C 2 VI - 008 21 - 1997 SI MC 21490 7 21 - 1997 SI GLOTT C 2 VI - 008 22 - 1998 SI MC 22497 7 22 - 1998 SI GLOTT C 2 VI - 008 23 - 1999 SI MC 23454 7 23 - 1999 UNIV. DI BOLOGNASI GLOTT C 2 VI - 008 24 - 2000 SI MC 25120 7 24 - 2000 SI GLOTT C 2 VI - 008 25 - 2001 SI MC 25748 7 25 - 2001 UNIV. di BOLOGNA - Dip. di Studi Linguistici e Orientali Facoltà di Lettere e FilosofiaSI GLOTT C 2 VI - 008 12 - 1988 SI MC 26457 7 12 - 1988 SI GLOTT C 2 VI - 008 18 - 1994 SI MC 26458 7 18 - 1994 SI GLOTT C 2 VI - 008 26 - 2002 SI MC 27022 7 26 - 2002 UNIV. degli STUDI di BOLOGNA Facoltà di Lettere e Filosofia Dip. di Studi Linguistici e OrientaliSI GLOTT C 2 VI - 008 27 - 2003 SI MC 28616 7 27 - 2003 UNIV. STUDI BOLOGNASI GLOTT C 2 VI - 008 29 - 2005 SI MC 30781 5 29 - 2005 UNI BOLOGNASI GLOTT C 2 VI - 008 28 - 2004 SI MC 31338 7 28 - 2004 UNI di BOLOGNASI GLOTT C 2 VI - 008 30 - 2006 SI MC 31449 7 30 - 2006 UNI di BolognaSI GLOTT C 2 VI - 008 31 - 2007 SI MC 32035 7 31 - 2007 UNI di BOLOGNASI GLOTT C 2 VI - 008 32 - 2008 SI MC 32630 7 32 - 2008 UNI di BOLOGNASI GLOTT C 2 VI - 008 33 - 2009 SI MC 33250 5 33 - 2009 UNI di BOLOGNASI GLOTT C 2 VI - 008 34 - 2010 SI MC 34082 5 34 - 2010 UNI di BOLOGNARivista italiana di dialettologia894657UNIOR08769nam 22008295 450 991098330370332120250208115228.09783031746307303174630910.1007/978-3-031-74630-7(MiAaPQ)EBC31900185(Au-PeEL)EBL31900185(CKB)37498914500041(OCoLC)1499720372(DE-He213)978-3-031-74630-7(EXLCZ)993749891450004120250208d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning and Principles and Practice of Knowledge Discovery in Databases International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part I /edited by Rosa Meo, Fabrizio Silvestri1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (770 pages)Communications in Computer and Information Science,1865-0937 ;21339783031746291 3031746295 -- Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial. -- Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces. -- Predicate-based explanation of a Reinforcement Learning agent via action importance evaluation. -- Local interpretability of random forests for multi-target regression. -- On the Adaptability of Attention-Based Interpretability in Different Transformer Architectures for Multi-Class Classification Tasks. -- Analyzing the Explanation and Interpretation Potential of Matrix Capsule Networks. -- An Efficient Shapley Value Computation for the Naive Bayes Classifier. -- An Experimental Investigation into the Evaluation of Explainability Methods for Computer Vision. -- Natively Interpretable t-SNE. -- BIAS 2023 - 3rd Workshop on Bias and Fairness in AI. -- Automated discovery of trade-off between utility, privacy and fairness in machine learning models. -- Facial Analysis Systems and Down Syndrome. -- Mitigating Discrimination in Insurance with Wasserstein Barycenters. -- Counterfactual Explanations for Recommendation Bias. -- Bias on Demand: A Modelling Framework That Generates Synthetic Data With Bias. -- Towards Fair Face Verification: An In-depth Analysis of Demographic Biases. -- How Different Is Stereotypical Bias Across Languages?. -- Sampling strategies for mitigating bias in face synthesis methods. -- Towards Inclusive Fairness Evaluation via Eliciting Disagreement Feedback from Non-Expert Stakeholders. -- Beliefs, Relationships, and Equality: An Alternative Source of Discrimination in a Symmetric Hiring Market via Threats. -- Biased Data in Conversational Agents. -- Stars, Stripes, and Silicon: Unravelling the ChatGPT's All-American, Monochrome, Cis-centric Bias. -- How Prevalent is Gender Bias in ChatGPT? - Exploring German and English ChatGPT Responses. -- Explainable Artificial Intelligence: From Static to Dynamic. -- Shapley-Based Feature Selection for Online Algorithm Selection. -- Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes. -- Dynamic Interpretability for Model Comparison via Decision Rules. -- Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning. -- A Retrospective of the Tutorial on Opportunities and Challenges of Online Deep Learning. -- ML, Law and Society. -- The AI Act Is Coming: Are E-Health Manufacturers Ready?. -- Techniques to achieve anonymisation of health data: When are they sufficient to be considered as legally complaint?. -- Mental state classification using EEG signals: ethics, law and challenges. -- Trustworthy AI Development in Education. -- Variants analysis in judicial trials: Challenges and initial results. -- FLAIRS: Federated Learning AI Regulatory Sandbox. -- Towards a Process View of Algorithmic Fairness. -- A practical application of Artificial Intelligence techniques for legal context analysis. -- Why Fair Automated Hiring Systems Breach EU Non-Discrimination Law. -- Enhancing e-Justice: Assessing the effectiveness of specialized LLMs' applications with Cicero. -- Process mining on a public procurement dataset: a case study. -- Google Topics as a way out of the cookie dilemma?.The five-volume set CCIS 2133-2137 constitutes the refereed proceedings of the workshops held in conjunction with the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2023, which took place in Turin, Italy, during September 18-22, 2023. The 200 full papers presented in these proceedings were carefully reviewed and selected from 515 submissions. The papers have been organized in the following tracks: Part I: Advances in Interpretable Machine Learning and Artificial Intelligence -- Joint Workshop and Tutorial; BIAS 2023 - 3rd Workshop on Bias and Fairness in AI; Biased Data in Conversational Agents; Explainable Artificial Intelligence: From Static to Dynamic; ML, Law and Society; Part II: RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education; SoGood 2023 – 8th Workshop on Data Science for Social Good; Towards Hybrid Human-Machine Learning and Decision Making (HLDM); Uncertainty meets explainability in machine learning; Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation; Part III: XAI-TS: Explainable AI for Time Series: Advances and Applications; XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining; Deep Learning for Sustainable Precision Agriculture; Knowledge Guided Machine Learning; MACLEAN: MAChine Learning for EArth ObservatioN; MLG: Mining and Learning with Graphs; Neuro Explicit AI and Expert Informed ML for Engineering and Physical Sciences; New Frontiers in Mining Complex Patterns; Part IV: PharML, Machine Learning for Pharma and Healthcare Applications; Simplification, Compression, Efficiency and Frugality for Artificial intelligence; Workshop on Uplift Modeling and Causal Machine Learning for Operational Decision Making; 6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL); Adapting to Change: Reliable Multimodal Learning Across Domains; AI4M: AI for Manufacturing; Part V: Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications; Deep learning meets Neuromorphic Hardware; Discovery challenge; ITEM: IoT, Edge, and Mobile for Embedded Machine Learning; LIMBO - LearnIng and Mining for BlOckchains; Machine Learning for Cybersecurity (MLCS 2023); MIDAS - The 8th Workshop on MIning DAta for financial applicationS; Workshop on Advancements in Federated Learning. .Communications in Computer and Information Science,1865-0937 ;2133Artificial intelligenceImage processingDigital techniquesComputer visionComputer engineeringComputer networksApplication softwareData structures (Computer science)Information theoryEducationData processingArtificial IntelligenceComputer Imaging, Vision, Pattern Recognition and GraphicsComputer Engineering and NetworksComputer and Information Systems ApplicationsData Structures and Information TheoryComputers and EducationArtificial intelligence.Image processingDigital techniques.Computer vision.Computer engineering.Computer networks.Application software.Data structures (Computer science)Information theory.EducationData processing.Artificial Intelligence.Computer Imaging, Vision, Pattern Recognition and Graphics.Computer Engineering and Networks.Computer and Information Systems Applications.Data Structures and Information Theory.Computers and Education.006.3Meo Rosa1784701Silvestri Fabrizio1784702MiAaPQMiAaPQMiAaPQBOOK9910983303703321Machine Learning and Principles and Practice of Knowledge Discovery in Databases4316289UNINA