LEADER 02694nam 2200493 450 001 9910819734803321 005 20230721041826.0 010 $a1-78444-051-5 010 $a1-78444-050-7 035 $a(CKB)3710000000212931 035 $a(EBL)1757397 035 $a(MiAaPQ)EBC1757397 035 $a(Au-PeEL)EBL1757397 035 $a(OCoLC)885123952 035 $a(EXLCZ)993710000000212931 100 $a20220524d2007 uy 0 101 0 $agle 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMise an Fear Ceoil $eSeamus Ennis - Dialann Taistil 1942-1946 /$fSeamus Mac Aonghusa, Rionach ui Ogain 210 1$aIndreabhan, Ireland :$cClo Iar-Chonnachta,$d[2007] 210 4$dİ2007 215 $a1 online resource (936 p.) 300 $aDescription based upon print version of record. 311 $a1-905560-07-9 320 $aIncludes bibliographical references (pages 487-490) and indexes. 327 $aPage Co?ipcheart; Page Tiomnu?; Cla?r; Bui?ochas; Eagartho?ireacht; Noda; An Re?amhra?; Na Cuairteanna; Conamara 2 Iu?il-14 Mea?n Fo?mhair 1942; Ballinagh, Co. Cavan October 1942; Cuairt ar Chonamara 7 Samhain-14 Nollaig 1942; Cuairt ar Charna 8-28 Bealtaine 1943; Conamara 23 Meitheamh-8 Lu?nasa 1943; Ti?r Chonaill 9 Lu?nasa-20 Mea?n Fo?mhair 1943; Carna 5 Samhain-15 Nollaig 1943; Ti?r Chonaill, Bliain U?r 15 Eana?ir-5 Aibrea?n 1944; Cuairt Eile ar Charna 15 Bealtaine-1 Lu?nasa 1944; Contae Mhaigh Eo 10 Lu?nasa-4 Mea?n Fo?mhair 1944; Ti?r Chonaill 5 Mea?n Fo?mhair-19 Deireadh Fo?mhair 1944 327 $aCuairt Eile ar Charna 9 Samhain-18 Nollaig 1944I bParo?iste Charna Ari?s 24 Aibrea?n-2 Lu?nasa 1945; Cuairt ar A?rainn 20 Lu?nasa-6 Mea?n Fo?mhair 1945; Contae an Chla?ir 7-30 Mea?n Fo?mhair 1945; Cuairt ar Luimneach 14-21 Samhain 1945; County Clare 22-24 November 1945; Ti?r Chonaill - Toraigh 16 Bealtaine-7 Meitheamh 1946; Conamara 14 Meitheamh-19 Iu?il 1946; Cla?r na nDaoine; Foinsi? Foilsithe 330 $a This book provides a fascinating insight into the life and work of piper and music collector Se?amus Ennis during his period as full-time collector with the Irish Folklore Commission 606 $aFolk music$zIreland$xHistory and criticism 607 $aIreland$xHistory$y1922- 615 0$aFolk music$xHistory and criticism. 676 $a788.3 700 $aEnnis$b Seamus$01666989 702 $aui? O?ga?in$b Ri?onach 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910819734803321 996 $aMise an Fear Ceoil$94026568 997 $aUNINA LEADER 05456nam 22006375 450 001 9910872195903321 005 20250806170448.0 010 $a3-031-63800-X 024 7 $a10.1007/978-3-031-63800-8 035 $a(CKB)32775437300041 035 $a(MiAaPQ)EBC31523152 035 $a(Au-PeEL)EBL31523152 035 $a(DE-He213)978-3-031-63800-8 035 $a(EXLCZ)9932775437300041 100 $a20240710d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExplainable Artificial Intelligence $eSecond World Conference, xAI 2024, Valletta, Malta, July 17?19, 2024, Proceedings, Part III /$fedited by Luca Longo, Sebastian Lapuschkin, Christin Seifert 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (471 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2155 311 08$a3-031-63799-2 327 $a -- Counterfactual explanations and causality for eXplainable AI. -- Sub-SpaCE: Subsequence-based Sparse Counterfactual Explanations for Time Series Classification Problems. -- Human-in-the-loop Personalized Counterfactual Recourse. -- COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical images. -- Enhancing Counterfactual Explanation Search with Diffusion Distance and Directional Coherence. -- CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests. -- Causality-Aware Local Interpretable Model-Agnostic Explanations. -- Evaluating the Faithfulness of Causality in Saliency-based Explanations of Deep Learning Models for Temporal Colour Constancy. -- CAGE: Causality-Aware Shapley Value for Global Explanations. -- Fairness, trust, privacy, security, accountability and actionability in eXplainable AI. -- Exploring the Reliability of SHAP Values in Reinforcement Learning. -- Categorical Foundation of Explainable AI: A Unifying Theory. -- Investigating Calibrated Classification Scores through the Lens of Interpretability. -- XentricAI: A Gesture Sensing Calibration Approach through Explainable and User-Centric AI. -- Toward Understanding the Disagreement Problem in Neural Network Feature Attribution. -- ConformaSight: Conformal Prediction-Based Global and Model-Agnostic Explainability Framework. -- Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability. -- Blockchain for Ethical & Transparent Generative AI Utilization by Banking & Finance Lawyers. -- Multi-modal Machine learning model for Interpretable Mobile Malware Classification. -- Explainable Fraud Detection with Deep Symbolic Classification. -- Better Luck Next Time: About Robust Recourse in Binary Allocation Problems. -- Towards Non-Adversarial Algorithmic Recourse. -- Communicating Uncertainty in Machine Learning Explanations: A Visualization Analytics Approach for Predictive Process Monitoring. -- XAI for Time Series Classification: Evaluating the Benefits of Model Inspection for End-Users. 330 $aThis four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on: Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI. Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI. Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI. Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2155 606 $aArtificial intelligence 606 $aNatural language processing (Computer science) 606 $aApplication software 606 $aComputer networks 606 $aArtificial Intelligence 606 $aNatural Language Processing (NLP) 606 $aComputer and Information Systems Applications 606 $aComputer Communication Networks 615 0$aArtificial intelligence. 615 0$aNatural language processing (Computer science) 615 0$aApplication software. 615 0$aComputer networks. 615 14$aArtificial Intelligence. 615 24$aNatural Language Processing (NLP). 615 24$aComputer and Information Systems Applications. 615 24$aComputer Communication Networks. 676 $a006.3 700 $aLongo$b Luca$01337583 701 $aLapuschkin$b Sebastian$01744132 701 $aSeifert$b Christin$01744133 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910872195903321 996 $aExplainable Artificial Intelligence$94173978 997 $aUNINA