BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Venue Radar//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:AALTD 2026 Calendar BEGIN:VEVENT UID:aaltd-2026-deadline-abstract@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260606T065900Z DTEND:20260606T075900Z SUMMARY:[Time Series & Sequential Data][Data Mining & Data Science] AALTD 2 026 - Abstract submission deadline DESCRIPTION:Conference title: Workshop on Advanced Analytics and Learning o n Temporal Data\nWebsite: https://ecml-aaltd.github.io/aaltd2026/\nSource URL: https://ecml-aaltd.github.io/aaltd2026/dates.html\nLocation: Naples \, Italy\nTopics: Time Series & Sequential Data\, Data Mining & Data Scie nce\, Machine Learning\, Explainability & Interpretability\nSize: S\nSubm ission type: Workshop / paper-based\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes: Official AALTD 2026 pages confirm the Sep 11 Nap les workshop and its Jun 5 abstract\, Jun 12 paper\, and Aug 17 camera-re ady milestones (Pacific Time).\nScope: Analytics and learning specificall y for temporal data: time-series classification\, clustering\, forecastin g\, segmentation\, anomaly detection\, temporal representations\, and met ric or kernel learning. Includes temporal foundation models\, data stream s\, and explainable temporal analysis. Climate\, health\, and energy are examples of applications rather than separate defining topic assignments. \nAdditional topics: Deep Representation Learning\nScope sources (2026): https://ecml-aaltd.github.io/aaltd2026/\nScope last checked: 2026-10-07 URL:https://ecml-aaltd.github.io/aaltd2026/dates.html END:VEVENT BEGIN:VEVENT UID:aaltd-2026-deadline-full-paper@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260613T065900Z DTEND:20260613T075900Z SUMMARY:[Time Series & Sequential Data][Data Mining & Data Science] AALTD 2 026 - Paper submission deadline DESCRIPTION:Conference title: Workshop on Advanced Analytics and Learning o n Temporal Data\nWebsite: https://ecml-aaltd.github.io/aaltd2026/\nSource URL: https://ecml-aaltd.github.io/aaltd2026/dates.html\nLocation: Naples \, Italy\nTopics: Time Series & Sequential Data\, Data Mining & Data Scie nce\, Machine Learning\, Explainability & Interpretability\nSize: S\nSubm ission type: Workshop / paper-based\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes: Official AALTD 2026 pages confirm the Sep 11 Nap les workshop and its Jun 5 abstract\, Jun 12 paper\, and Aug 17 camera-re ady milestones (Pacific Time).\nScope: Analytics and learning specificall y for temporal data: time-series classification\, clustering\, forecastin g\, segmentation\, anomaly detection\, temporal representations\, and met ric or kernel learning. Includes temporal foundation models\, data stream s\, and explainable temporal analysis. Climate\, health\, and energy are examples of applications rather than separate defining topic assignments. \nAdditional topics: Deep Representation Learning\nScope sources (2026): https://ecml-aaltd.github.io/aaltd2026/\nScope last checked: 2026-10-07 URL:https://ecml-aaltd.github.io/aaltd2026/dates.html END:VEVENT BEGIN:VEVENT UID:aaltd-2026-deadline-camera-ready@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART:20260818T065900Z DTEND:20260818T075900Z SUMMARY:[Time Series & Sequential Data][Data Mining & Data Science] AALTD 2 026 - Camera-ready deadline DESCRIPTION:Conference title: Workshop on Advanced Analytics and Learning o n Temporal Data\nWebsite: https://ecml-aaltd.github.io/aaltd2026/\nSource URL: https://ecml-aaltd.github.io/aaltd2026/dates.html\nLocation: Naples \, Italy\nTopics: Time Series & Sequential Data\, Data Mining & Data Scie nce\, Machine Learning\, Explainability & Interpretability\nSize: S\nSubm ission type: Workshop / paper-based\nConfidence: confirmed\nLast checked date: 2026-09-14\nNotes: Official AALTD 2026 pages confirm the Sep 11 Nap les workshop and its Jun 5 abstract\, Jun 12 paper\, and Aug 17 camera-re ady milestones (Pacific Time).\nScope: Analytics and learning specificall y for temporal data: time-series classification\, clustering\, forecastin g\, segmentation\, anomaly detection\, temporal representations\, and met ric or kernel learning. Includes temporal foundation models\, data stream s\, and explainable temporal analysis. Climate\, health\, and energy are examples of applications rather than separate defining topic assignments. \nAdditional topics: Deep Representation Learning\nScope sources (2026): https://ecml-aaltd.github.io/aaltd2026/\nScope last checked: 2026-10-07 URL:https://ecml-aaltd.github.io/aaltd2026/dates.html END:VEVENT BEGIN:VEVENT UID:aaltd-2026-conference@scientific-conference-calendar DTSTAMP:19700101T000000Z DTSTART;VALUE=DATE:20260911 DTEND;VALUE=DATE:20260912 SUMMARY:[Time Series & Sequential Data][Data Mining & Data Science] AALTD 2 026 - Conference DESCRIPTION:Conference title: Workshop on Advanced Analytics and Learning o n Temporal Data\nWebsite: https://ecml-aaltd.github.io/aaltd2026/\nSource URL: https://ecml-aaltd.github.io/aaltd2026/\nLocation: Naples\, Italy\n Topics: Time Series & Sequential Data\, Data Mining & Data Science\, Mach ine Learning\, Explainability & Interpretability\nSize: S\nSubmission typ e: Workshop / paper-based\nConfidence: confirmed\nLast checked date: 2026 -09-14\nNotes: Official AALTD 2026 pages confirm the Sep 11 Naples worksh op and its Jun 5 abstract\, Jun 12 paper\, and Aug 17 camera-ready milest ones (Pacific Time).\nScope: Analytics and learning specifically for temp oral data: time-series classification\, clustering\, forecasting\, segmen tation\, anomaly detection\, temporal representations\, and metric or ker nel learning. Includes temporal foundation models\, data streams\, and ex plainable temporal analysis. Climate\, health\, and energy are examples o f applications rather than separate defining topic assignments.\nAddition al topics: Deep Representation Learning\nScope sources (2026): https://ec ml-aaltd.github.io/aaltd2026/\nScope last checked: 2026-10-07 URL:https://ecml-aaltd.github.io/aaltd2026/ LOCATION:Naples\, Italy END:VEVENT END:VCALENDAR