000			05266cam a2200733 i 4500
001			on1415843477
003			OCoLC
005			20250707095432.0
006			m o d
007			cr |n|||||||||
008			231223s2023 sz a o 101 0 eng d
040			_aYDX _beng _erda _cYDX _dGW5XE _dEBLCP _dOCLCO _dOCLCQ _dOCLCO
019			_a1415896671
020			_a9783031498961 _q(electronic bk.)
020			_a3031498968 _q(electronic bk.)
020			_z9783031498954
020			_z303149895X
024	7		_a10.1007/978-3-031-49896-1 _2doi
029	1		_aAU@ _b000075655775
035			_a(OCoLC)1415843477 _z(OCoLC)1415896671
050		4	_aQ325.5
072		7	_aUYQ _2bicssc
072		7	_aCOM004000 _2bisacsh
072		7	_aUYQ _2thema
082	0	4	_a006.3/1 _223/eng/20240102
049			_aMAIN
111	2		_aAALTD (Workshop) _n(8th : _d2023 : _cTurin, Italy). _9979346
245	1	0	_aAdvanced analytics and learning on temporal data : _b8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18-22, 2023 : revised selected papers / _cGeorgiana Ifrim, Romain Tavenard, Anthony Bagnall, Patrick Schaefer, Simon Malinowski, Thomas Guyet, Vincent Lemaire, editors.
246	3	0	_a8th ECML PKDD Workshop, AALTD 2023
264		1	_aCham : _bSpringer, _c[2023]
264		4	_c©2023
300			_a1 online resource (xiii, 308 pages) : _billustrations (chiefly color).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aLecture notes in computer science. Lecture notes in artificial intelligence, _x2945-9141 ; _v14343
490	1		_aLNCS sublibrary: SL7 - Artificial intelligence
500			_aSelected conference proceedings.
500			_aIncludes author index.
520			_aThis volume LNCS 14343 constitutes the refereed proceedings of the 8th ECML PKDD Workshop, AALTD 2023, in Turin, Italy, in September 2023. The 20 full papers were carefully reviewed and selected from 28 submissions. They are organized in the following topical section as follows: Machine Learning; Data Mining; Pattern Analysis; Statistics to Share their Challenges and Advances in Temporal Data Analysis. .
505	0		_aHuman Activity Segmentation Challenge -- Human Activity Segmentation Challenge@ECML/PKDD⁰́₉23 -- Change points detection in multivariate signal applied to human activity segmentation -- Change Point Detection via Synthetic Signals -- Oral Presentation -- Clustering time series with k-medoids based algorithms -- Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting -- RED CoMETS: an ensemble classifier for symbolically represented multivariate time series -- Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving -- Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression -- ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging -- Poster Presentation -- Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks -- Evaluating Explanation Methods for Multivariate Time Series Classification -- tGLAD: A sparse graph recovery based approach for multivariate time series segmentation -- Designing a New Search Space for Multivariate Time-Series Neural Architecture Search -- Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms -- Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Behaviours and Detect Health Issues -- Exploiting Context and Attention with Recurrent Neural Network for Sensor Time Series Prediction -- Rail Crack Propagation Forecasting Using Multi-horizons RNNs -- Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies -- Time-aware Predictions of Moments of Change in Longitudinal User Posts on Social Media.
588	0		_aOnline resource; title from PDF title page (SpringerLink, viewed January 2, 2024).
650		0	_aMachine learning _vCongresses. _915308
650		6	_aApprentissage automatique _vCongrès. _920183
655		7	_aproceedings (reports) _2aat
655		7	_aConference papers and proceedings. _2lcgft _96065
655		7	_aActes de congrès. _2rvmgf _9609890
700	1		_aIfrim, Georgiana, _eeditor. _966579
700	1		_aTavenard, Romain, _eeditor. _969296
700	1		_aBagnall, Anthony, _eeditor. _969293
700	1		_aSchaefer, Patrick, _eeditor. _9979347
700	1		_aMalinowski, Simon, _eeditor. _969292
700	1		_aGuyet, Thomas, _eeditor. _969295
700	1		_aLemaire, Vincent _c(Computer scientist), _eeditor. _9914821
711	2		_aECML PKDD (Conference) _d(2023 : _cTurin, Italy)
776	0	8	_cOriginal _z303149895X _z9783031498954 _w(OCoLC)1407212676
830		0	_aLecture notes in computer science. _pLecture notes in artificial intelligence. _x2945-9141 _914916
830		0	_aLecture notes in computer science ; _v14343.
830		0	_aLNCS sublibrary. _nSL 7, _pArtificial intelligence. _920712
856	4	0	_uhttps://link.springer.com/10.1007/978-3-031-49896-1
938			_aYBP Library Services _bYANK _n305907180
938			_aProQuest Ebook Central _bEBLB _nEBL31027990
994			_a92 _bATIST
999			_c657913 _d657913