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1teach and learn
8th grade teacher who incorporates blogging; substantive discussions of the learning processes as enhanced by blog writing
18 years ago by @jlesage
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learning
composition
teachers
edublogs
tips
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rhetoric
education
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1Pedablogy: Musings on the Art & Craft of Teaching
thoughtful meditations on pedagogy from an economics teacher
18 years ago by @jlesage
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courses
learning
academic
edublogs
theory
education
courseslearningacademicedublogstheoryeducation
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1echalk.de
What is E-Chalk? The electronic chalkboard combines all the advantages of a traditional chalkboard with the functionality of a modern distance education tool. The lecturer writes on the electronic board, seamlessly integrating pictures and interactive pro
18 years ago by @gresch
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learning
tools
e-learning
opensource
learningtoolse-learningopensource
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1April Wilson's German Reading Courses
http://www.german.aprilwilson.com/
18 years ago by @thomaslevine
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Language_Programs
Learning
Science_Research
german
language
languages
Language_ProgramsLearningScience_Researchgermanlanguagelanguages
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6Crash course in learning theory
http://headrush.typepad.com/creating_passionate_users/2006/01/crash_course_in.html
18 years ago by @jlesage
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essays
culture
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1Chebifier: Automating semantic classification in ChEBI to accelerate data-driven discovery
M. Glauer, F. Neuhaus, S. Flügel, M. Wosny, T. Mossakowski, A. Memariani, J. Schwerdt, and J. Hastings. Digital Discovery, (2024)
2 days ago by @tillmo
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deep
learning
loss
myown
ontology
semantic
deeplearninglossmyownontologysemantic
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1AI-based Methods of Dynamic Pricing in E-Commerce: A Systematization of Literature
C. Tomitza, U. Ibrahimli, and L. Herm. (forthcoming)
7 days ago by @winkelmann
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Artificial
Dynamic
E-Commerce
Intelligence
Learning
Machine
Pricing
ArtificialDynamicE-CommerceIntelligenceLearningMachinePricing
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1Application of machine learning in tax prediction: A review with practical approaches
O. Akinrinola, W. Addy, A. Ajayi-Nifise, O. Odeyemi, and T. Falaiye. Global Journal of Engineering and Technology Advances, 18 (2): 102–117 (April 2024)
16 days ago by @gjetajournal
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Learning
Machine
LearningMachine
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3Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale
M. Seufert, K. Dietz, N. Wehner, S. Geißler, J. Schüler, M. Wolz, A. Hotho, P. Casas, T. Hoßfeld, and A. Feldmann. IEEE Transactions on Network and Service Management, (2024)
18 days ago by @dmir
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myown
monitoring
machine
2024
learning
network
traffic
from:hotho
myownmonitoringmachine2024learningnetworktrafficfrom:hotho
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1BRIEF COMMENTARY: USING A LOGIC MODEL TO INTEGRATE PUBLIC HEALTH INFORMATICS INTO REFINEMENTS OF PUBLIC HEALTH SURVEILLANCE SYSTEM
G. Fant. (February 2024)
22 days ago by @jeffrenna
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health
informatics
learning
healthinformaticslearning
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3Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale
M. Seufert, K. Dietz, N. Wehner, S. Geißler, J. Schüler, M. Wolz, A. Hotho, P. Casas, T. Hoßfeld, and A. Feldmann. IEEE Transactions on Network and Service Management, (2024)
23 days ago by @hotho
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2024
learning
machine
monitoring
myown
network
traffic
2024learningmachinemonitoringmyownnetworktraffic
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1Machine Learning Course in Pune
J. Howard, C. Sparkman, H. Cohen, G. Green, and H. Stanislaw. Research in Developmental Disabilities, 26 (4): 359--383 (2005)
27 days ago by @shivanis09
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Course
Learning
Machine
Pune
in
CourseLearningMachinePunein
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2Prediction of user listening contexts for music playlists
J. Choi, A. Khlif, and E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)
30 days ago by @sop2-ffzg
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User
Multimodal
Semantic
language
Evaluation
Prediction
Data
aggregation
learning
analysis
Natural
Feature
from:kamber
Machine
Playlist
activities
curation
context
prediction
metrics
UserMultimodalSemanticlanguageEvaluationPredictionDataaggregationlearninganalysisNaturalFeaturefrom:kamberMachinePlaylistactivitiescurationcontextpredictionmetrics
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2Multi-agent system application for music features extraction, meta-classification and context analysis
J. Perez-Marcos, D. Jimenez-Bravo, J. De Paz, G. Villarrubia Gonzalez, V. Lopez, and A. Gil. Knowledge and Information Systems, 62 (1): 401--422 (Jan 1, 2020)
30 days ago by @sop2-ffzg
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Auto-classification
Social
Performance
Multi-label
analysis
intelligence
classification
Meta-classifiers
Single-label
Distributed
Emotional
Music
processing
Genre
information
Artificial
Twitter
recommendation
learning
networks
from:kamber
Machine
Multi-agent
systems
Contextual
Last.fm
evaluation
Multi-classification
Auto-classificationSocialPerformanceMulti-labelanalysisintelligenceclassificationMeta-classifiersSingle-labelDistributedEmotionalMusicprocessingGenreinformationArtificialTwitterrecommendationlearningnetworksfrom:kamberMachineMulti-agentsystemsContextualLast.fmevaluationMulti-classification
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1Learning by design: Nourishing expertise and interventions
S. McKenney, J. Voogt, and P. Kirschner. Teacher learning in changing contexts, Routledge, (2022)
a month ago by @yish
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LDS
design
development
education
learning
professional
teacher
technology
LDSdesigndevelopmenteducationlearningprofessionalteachertechnology
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3Understanding User-Curated Playlists on Spotify: A Machine Learning Approach
M. Pichl, E. Zangerle, and G. Specht. Int. J. Multimed. Data Eng. Manag., 8 (4): 44–59 (Oct 1, 2017)
a month ago by @sop2-ffzg
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Analysis
Learning
Content
Music
Retrieval
Data
Information
from:kamber
Machine
User-Generated
AnalysisLearningContentMusicRetrievalDataInformationfrom:kamberMachineUser-Generated
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2Prediction of user listening contexts for music playlists
J. Choi, A. Khlif, and E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)
a month ago by @kamber
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Data
Evaluation
Feature
Machine
Multimodal
Natural
Playlist
Prediction
Semantic
User
activities
aggregation
analysis
context
curation
language
learning
metrics
prediction
DataEvaluationFeatureMachineMultimodalNaturalPlaylistPredictionSemanticUseractivitiesaggregationanalysiscontextcurationlanguagelearningmetricsprediction
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2Multi-agent system application for music features extraction, meta-classification and context analysis
J. Perez-Marcos, D. Jimenez-Bravo, J. De Paz, G. Villarrubia Gonzalez, V. Lopez, and A. Gil. Knowledge and Information Systems, 62 (1): 401--422 (Jan 1, 2020)
a month ago by @kamber
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Artificial
Auto-classification
Contextual
Distributed
Emotional
Genre
Last.fm
Machine
Meta-classifiers
Multi-agent
Multi-classification
Multi-label
Music
Performance
Single-label
Social
Twitter
analysis
classification
evaluation
information
intelligence
learning
networks
processing
recommendation
systems
ArtificialAuto-classificationContextualDistributedEmotionalGenreLast.fmMachineMeta-classifiersMulti-agentMulti-classificationMulti-labelMusicPerformanceSingle-labelSocialTwitteranalysisclassificationevaluationinformationintelligencelearningnetworksprocessingrecommendationsystems
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3Understanding User-Curated Playlists on Spotify: A Machine Learning Approach
M. Pichl, E. Zangerle, and G. Specht. Int. J. Multimed. Data Eng. Manag., 8 (4): 44–59 (Oct 1, 2017)
a month ago by @kamber
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Analysis
Content
Data
Information
Learning
Machine
Music
Retrieval
User-Generated
AnalysisContentDataInformationLearningMachineMusicRetrievalUser-Generated
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1Sentiment Analysis Classification of ChatGPT on Twitter Big Data in Indonesia Using Fast R-CNN
S. Pipin, F. Sinaga, S. Winardi, and M. Hakim. JURNAL MEDIA INFORMATIKA BUDIDARMA, 7 (4): 2137-2148 (2023)
a month ago by @siopipin
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Analysis
ChatGPT
Data
Deep
Fast
Learning
R-CNN
Sentiment
Twitter
myown
AnalysisChatGPTDataDeepFastLearningR-CNNSentimentTwittermyown
(0)
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1Opportunities for the Creation of E-Learning Content in the Educational Process
2023. CENTRAL ASIAN JOURNAL OF ARTS AND DESIGN, 4 (12): 4-8 (November 2023)
a month ago by @centralasian_20
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E-learning,
digital
distance
educational
electronic
information
learning
resources,
technologies,
technology
E-learning,digitaldistanceeducationalelectronicinformationlearningresources,technologies,technology
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1Composite Materials: Workpackage 3: Designing joint curriculum: Out 3.2: Learning materials
J. Krizbergs, and V. Gutakovskis. Technical University, Riga, (2016)
a month ago by @glonga
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2016
Composite
Curriculum
Designing
Joint
Learning
Material
2016CompositeCurriculumDesigningJointLearningMaterial
(0)
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2Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding
C. Nivarthi, and B. Sick. International Conference on Machine Learning and Applications (ICMLA), page 1444--1450. IEEE, (2023)
a month ago by @ies
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imported
itegpub
isac-www
few-shot
learning
anomaly
detection
temporal
attention
dynamic
thresholding
importeditegpubisac-wwwfew-shotlearninganomalydetectiontemporalattentiondynamicthresholding
(0)
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4LLaMA: Open and Efficient Foundation Language Models
H. Touvron, T. Lavril, G. Izacard, X. Martinet, M. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar and 4 other author(s). (2023)
a month ago by @boggog
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deep
learning
ml
nlp
deeplearningmlnlp
(0)
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2Adam: A Method for Stochastic Optimization
D. Kingma, and J. Ba. (2017)
a month ago by @boggog
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deep
learning
ml
deeplearningml
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BibSonomy

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1teach and learn

1Pedablogy: Musings on the Art & Craft of Teaching

1echalk.de

1April Wilson's German Reading Courses

6Crash course in learning theory

publications (hide)5432
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1Chebifier: Automating semantic classification in ChEBI to accelerate data-driven discovery

1AI-based Methods of Dynamic Pricing in E-Commerce: A Systematization of Literature

1Application of machine learning in tax prediction: A review with practical approaches

3Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale

1BRIEF COMMENTARY: USING A LOGIC MODEL TO INTEGRATE PUBLIC HEALTH INFORMATICS INTO REFINEMENTS OF PUBLIC HEALTH SURVEILLANCE SYSTEM

3Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale

1Machine Learning Course in Pune

2Prediction of user listening contexts for music playlists

2Multi-agent system application for music features extraction, meta-classification and context analysis

1Learning by design: Nourishing expertise and interventions

3Understanding User-Curated Playlists on Spotify: A Machine Learning Approach

2Prediction of user listening contexts for music playlists

2Multi-agent system application for music features extraction, meta-classification and context analysis

3Understanding User-Curated Playlists on Spotify: A Machine Learning Approach

1Sentiment Analysis Classification of ChatGPT on Twitter Big Data in Indonesia Using Fast R-CNN

1Opportunities for the Creation of E-Learning Content in the Educational Process

1Composite Materials: Workpackage 3: Designing joint curriculum: Out 3.2: Learning materials

2Towards Few-Shot Time Series Anomaly Detection with Temporal Attention and Dynamic Thresholding

4LLaMA: Open and Efficient Foundation Language Models

2Adam: A Method for Stochastic Optimization

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