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1Deep Learning for Anomaly Detection
G. Pang, C. Shen, L. Cao, and A. Hengel. ACM Computing Surveys, 54 (2): 1--38 (March 2021)
4 years ago by @hotho
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anomaly
detection
survey
2020
anomalydetectionsurvey2020
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3Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III
U. Brefeld, É. Fromont, A. Hotho, A. Knobbe, M. Maathuis, and C. Robardet (Eds.) volume 11908 of Lecture Notes in Computer Science, Springer, (2020)
4 years ago by @hotho
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myown
proceedings
ECMLPKDD
2020
myownproceedingsECMLPKDD2020
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3Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II
U. Brefeld, É. Fromont, A. Hotho, A. Knobbe, M. Maathuis, and C. Robardet (Eds.) volume 11907 of Lecture Notes in Computer Science, Springer, (2020)
4 years ago by @hotho
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myown
proceedings
ECMLPKDD
2020
myownproceedingsECMLPKDD2020
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3Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I
U. Brefeld, É. Fromont, A. Hotho, A. Knobbe, M. Maathuis, and C. Robardet (Eds.) volume 11906 of Lecture Notes in Computer Science, Springer, (2020)
4 years ago by @hotho
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myown
proceedings
ECMLPKDD
2020
myownproceedingsECMLPKDD2020
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9SimLoss: Class Similarities in Cross Entropy
K. Kobs, M. Steininger, A. Zehe, F. Lautenschlager, and A. Hotho. Foundations of Intelligent Systems, page 431--439. Cham, Springer International Publishing, (2020)
4 years ago by @hotho
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loss
myown
entropy
cross
function
2020
lossmyownentropycrossfunction2020
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6LM4KG: Improving Common Sense Knowledge Graphs with Language Models
J. Omeliyanenko, A. Zehe, L. Hettinger, and A. Hotho. The Semantic Web -- ISWC 2020, page 456--473. Cham, Springer International Publishing, (2020)
4 years ago by @hotho
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lm
nlp
myown
semantic
language
model
kg
2020
knowledge
graph
selected
lmnlpmyownsemanticlanguagemodelkg2020knowledgegraphselected
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2Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data
J. Tritscher, M. Ring, D. Schlr, L. Hettinger, and A. Hotho. Foundations of Intelligent Systems, page 422--430. Cham, Springer International Publishing, (2020)
4 years ago by @hotho
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myown
evaluation
data
tabular
datasets
2020
xai
myownevaluationdatatabulardatasets2020xai
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6HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis
A. Zehe, J. Arns, L. Hettinger, and A. Hotho. 5th SwissText & 16th KONVENS Joint Conference, (2020)
4 years ago by @hotho
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sentiment
nlp
myown
myown:selected
proposal-knowledge
harrypotter
sentimentanalysis
harrymotions
bert
2020
sentimentnlpmyownmyown:selectedproposal-knowledgeharrypottersentimentanalysisharrymotionsbert2020
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8Financial Fraud Detection with Improved Neural Arithmetic Logic Units
D. Schlör, M. Ring, A. Krause, and A. Hotho. Fifth Workshop on MIning DAta for financial applicationS, (2020)
4 years ago by @hotho
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myown
fraud
detection
finacial
2020
inalu
myownfrauddetectionfinacial2020inalu
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4Improving Sentiment Analysis with Biofeedback Data
D. Schlör, A. Zehe, K. Kobs, B. Veseli, F. Westermeier, L. Brübach, D. Roth, M. Latoschik, and A. Hotho. Proceedings of LREC2020 Workshop ``People in language, vision and the mind'' (ONION2020), page 28--33. Marseille, France, European Language Resources Association (ELRA), (May 2020)
4 years ago by @hotho
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sentiment
biofeedback
myown
sentimentanalysis
neuralnet
mutlimodal
from:albinzehe
2020
sentimentbiofeedbackmyownsentimentanalysisneuralnetmutlimodalfrom:albinzehe2020
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12OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning
F. Lautenschlager, M. Becker, K. Kobs, M. Steininger, P. Davidson, A. Krause, and A. Hotho. Atmospheric Environment, (2020)
4 years ago by @hotho
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myown
air
lur
2020
cv1
pollution
myownairlur2020cv1pollution
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3Time Series Forecasting for Self-Aware Systems
A. Bauer, M. Züfle, N. Herbst, A. Zehe, A. Hotho, and S. Kounev. Proceedings of the IEEE, (2020)
4 years ago by @hotho
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myown
timeseries
survey
2020
Forecasting
myowntimeseriessurvey2020Forecasting
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5NICER — Aesthetic Image Enhancement with Humans in the Loop
M. Fischer, K. Kobs, and A. Hotho. page 357-362. (2020)
4 years ago by @hotho
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myown
image-editing
2020
image-assessment
myownimage-editing2020image-assessment
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4Towards Predicting the Subscription Status of Twitch.tv Users
K. Kobs, M. Potthast, M. Wiegmann, A. Zehe, B. Stein, and A. Hotho. Proceedings of ECML-PKDD 2020 ChAT Discovery Challenge on Chat Analytics for Twitch, (2020)
4 years ago by @hotho
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myown
twitch
2020
myowntwitch2020
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8Deep Learning for Climate Model Output Statistics
M. Steininger, D. Abel, K. Ziegler, A. Krause, H. Paeth, and A. Hotho. Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020, (2020)
4 years ago by @hotho
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mos
myown
climate
2020
mosmyownclimate2020
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6Evaluating the multi-task learning approach for land use regression modelling of air pollution
A. Dulny, M. Steininger, F. Lautenschlager, A. Krause, and A. Hotho. International Conference on Frontiers of Artificial Intelligence and Machine Learning, IASED, (2020)
4 years ago by @hotho
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myown
lur
2020
from:msteininger
myownlur2020from:msteininger
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11MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images
M. Steininger, K. Kobs, A. Zehe, F. Lautenschlager, M. Becker, and A. Hotho. ACM Trans. Spatial Algorithms Syst., (April 2020)
4 years ago by @hotho
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myown
deep
Land-use
regression
air
learning
2020
cv1
pollution
myowndeepLand-useregressionairlearning2020cv1pollution
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9Where to Submit? Helping Researchers to Choose the Right Venue
K. Kobs, T. Koopmann, A. Zehe, D. Fernes, P. Krop, and A. Hotho. Findings of the Association for Computational Linguistics: EMNLP 2020, page 878--883. Online, Association for Computational Linguistics, (November 2020)
4 years ago by @hotho
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venue
nlp
myown
paper
bert
2020
research
venuenlpmyownpaperbert2020research
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8Integrating Keywords into BERT4Rec for Sequential Recommendation
E. Fischer, D. Zoller, A. Dallmann, and A. Hotho. KI 2020: Advances in Artificial Intelligence, 12325, page 275-282. Cham, Springer International Publishing, (2020)
4 years ago by @hotho
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myown
kebert4rec
sequential
recommendation
embedding
2020
recommender
bert4rec
keyword
myownkebert4recsequentialrecommendationembedding2020recommenderbert4reckeyword
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8iNALU: Improved Neural Arithmetic Logic Unit
D. Schlör, M. Ring, and A. Hotho. Frontiers in Artificial Intelligence, (2020)
4 years ago by @hotho
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myown
neural
arithmetic
2020
networks
inalu
selected
myownneuralarithmetic2020networksinaluselected
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5Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study
P. Davidson, P. Düking, C. Zinner, B. Sperlich, and A. Hotho. Sensors, (May 2020)
4 years ago by @hotho
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myown
smartwatch
timeseries
rpe
analysis
2020
myownsmartwatchtimeseriesrpeanalysis2020
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3FastBERT: a Self-distilling BERT with Adaptive Inference Time
W. Liu, P. Zhou, Z. Wang, Z. Zhao, H. Deng, and Q. JU. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, page 6035--6044. Online, Association for Computational Linguistics, (July 2020)
4 years ago by @hotho
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acl
2020
talk
acl2020talk
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10Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels
K. Kobs, A. Zehe, A. Bernstetter, J. Chibane, J. Pfister, J. Tritscher, and A. Hotho. ACM Transactions on Social Computing, 3 (2): 1--34 (May 2020)
4 years ago by @hotho
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sentiment
nlp
myown
twitch
deep
learning
2020
messages
short
selected
sentimentnlpmyowntwitchdeeplearning2020messagesshortselected
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9Anomaly Detection in Beehives using Deep Recurrent Autoencoders
P. Davidson, M. Steininger, F. Lautenschlager, K. Kobs, A. Krause, and A. Hotho. Proceedings of the 9th International Conference on Sensor Networks (SENSORNETS 2020), 9, page 142-149. SCITEPRESS – Science and Technology Publications, Lda., (2020)
5 years ago by @hotho
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myown
anomaly
autoencoder
detection
2020
beehive
myownanomalyautoencoderdetection2020beehive
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publications (hide)24
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1Deep Learning for Anomaly Detection

3Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part III

3Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part II

3Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Würzburg, Germany, September 16-20, 2019, Proceedings, Part I

9SimLoss: Class Similarities in Cross Entropy

6LM4KG: Improving Common Sense Knowledge Graphs with Language Models

2Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data

6HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis

8Financial Fraud Detection with Improved Neural Arithmetic Logic Units

4Improving Sentiment Analysis with Biofeedback Data

12OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning

3Time Series Forecasting for Self-Aware Systems

5NICER — Aesthetic Image Enhancement with Humans in the Loop

4Towards Predicting the Subscription Status of Twitch.tv Users

8Deep Learning for Climate Model Output Statistics

6Evaluating the multi-task learning approach for land use regression modelling of air pollution

11MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images

9Where to Submit? Helping Researchers to Choose the Right Venue

8Integrating Keywords into BERT4Rec for Sequential Recommendation

8iNALU: Improved Neural Arithmetic Logic Unit

5Smartwatch-Derived Data and Machine Learning Algorithms Estimate Classes of Ratings of Perceived Exertion in Runners: A Pilot Study

3FastBERT: a Self-distilling BERT with Adaptive Inference Time

10Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Twitch.tv Channels

9Anomaly Detection in Beehives using Deep Recurrent Autoencoders

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