| Nome |
# |
|
Evaluating Trace Encoding Methods in Process Mining, file e2913fdf-9bc6-f688-e053-3705fe0a67e0
|
285
|
|
Evaluation Goals for Online Process Mining: a Concept Drift Perspective, file e2913fdf-ad9d-f688-e053-3705fe0a67e0
|
268
|
|
Sport action mining: Dribbling recognition in soccer, file e2913fdf-7b86-f688-e053-3705fe0a67e0
|
178
|
|
Classification of fermented cocoa beans (cut test) using computer vision, file be041afd-a92b-484c-a6d1-e4df47d91260
|
155
|
|
Time series segmentation based on stationarity analysis to improve new samples prediction, file f280ec10-1cc3-4e30-b194-67cd4b0dfd74
|
132
|
|
Advances in Data Management in the Big Data Era, file e2913fdf-9d69-f688-e053-3705fe0a67e0
|
120
|
|
Detecting and mitigating adversarial examples in regression tasks: A photovoltaic power generation forecasting case study, file eee8132a-23d1-41e6-bc34-00a4893f30e6
|
120
|
|
Attack Detection in Smart Home IoT Networks using CluStream and Page-Hinkley Test, file e2913fdf-ad7d-f688-e053-3705fe0a67e0
|
118
|
|
Using Process Mining to Reduce Fraud in Digital Onboarding, file a1327d47-a752-442f-bcb8-d5d48f5034a7
|
84
|
|
Deciding among fake, satirical, objective and legitimate news: A multi-label classification system, file 5d3fa419-7e30-4a1e-a678-f429dcc8c862
|
78
|
|
DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking, file e2913fdf-74cc-f688-e053-3705fe0a67e0
|
78
|
|
Language-independent fake news detection: English, Portuguese, and Spanish mutual features, file 4f377e05-f46f-44f6-9b3d-4539468e8863
|
53
|
|
Using meta-learning for multi-target regression, file e2913fdf-7b8a-f688-e053-3705fe0a67e0
|
45
|
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Meta-learning for dynamic tuning of active learning on stream classification, file c38a1ec1-aee7-41d3-86e1-f02820e7bcbc
|
38
|
|
Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing, file e2913fdf-b013-f688-e053-3705fe0a67e0
|
35
|
|
Football player dominant region determined by a novel model based on instantaneous kinematics variables, file bc0195db-5ed1-4346-9ff7-ae0a70081154
|
25
|
|
Robust computer vision system for marbling meat segmentation, file c51f4cc5-5ded-4419-8929-7be26ec56728
|
24
|
|
Computer Vision Classification of Barley Flour Based on Spatial Pyramid Partition Ensemble, file 0663084e-b3d9-43a8-8b1a-9ba306c7c3af
|
22
|
|
A meta-learning approach for selecting image segmentation algorithm, file e9b16731-d292-4351-b568-0e76fa52b114
|
19
|
|
Anomaly detection on event logs with a scarcity of labels, file f8f9b070-b126-4a4d-a396-14bb19cda775
|
18
|
|
Acoustic investigation of speech pathologies based on the discriminative paraconsistent machine (DPM), file 21de378e-ae21-4e65-82d7-c2c45d68c90b
|
16
|
|
Pre-trained Data Augmentation for Text Classification, file 576e3523-ba97-46fa-91b1-61a96e13cf6a
|
16
|
|
Analysis of Language Inspired Trace Representation for Anomaly Detection, file ca74d7a3-6894-429b-a069-a9db51f1f7fe
|
15
|
|
Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks, file e2913fdf-9f55-f688-e053-3705fe0a67e0
|
14
|
|
Machine Learning Applied to Near-Infrared Spectra for Chicken Meat Classification, file 5da7cb75-78ec-4628-a68e-9a51ca520f10
|
12
|
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Multi-target prediction of wheat flour quality parameters with near infrared spectroscopy, file b265d736-0a7c-467b-8fa7-ad828fc3598d
|
11
|
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Computer vision system and near-infrared spectroscopy for identification and classification of chicken with wooden breast, and physicochemical and technological characterization, file ba41d91d-89a0-4cda-a9ac-e4d69626bcc1
|
10
|
|
On the use of online clustering for anomaly detection in trace streams, file 2d88813f-fb50-4550-af60-93e463060bab
|
9
|
|
IoTDS: A One-Class Classification Approach to Detect Botnets in Internet of Things Devices, file d292b79f-345b-472c-97d6-173ace19125a
|
9
|
|
Towards meta-learning for multi-target regression problems, file e00962d4-ce8f-4fe0-9510-690f3ae7500f
|
8
|
|
Active Learning Embedded in Incremental Decision Trees, file f21a1c7d-7f13-4dc6-b486-cd0db99eedfd
|
8
|
|
How machine learning can support cyberattack detection in smart grids, file f99792c7-0de4-4b87-9195-1f27c56ae9e4
|
8
|
|
Deep computer vision system for cocoa classification, file 11a20b6f-a817-4ce4-98b0-7ae9f2e7ac6a
|
7
|
|
Mobile botnets detection based on machine learning over system calls, file 31527342-b4fd-4f13-a40a-58005cab908c
|
7
|
|
Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams, file e2913fdf-74c3-f688-e053-3705fe0a67e0
|
7
|
|
U-healthcare system for pre-diagnosis of Parkinson's disease from voice signal, file 72671aad-39f6-41dc-99df-8bde81d48720
|
6
|
|
Comparison of rapid techniques for classification of ground meat, file b3acdee4-a817-479d-8c29-a74e04adc406
|
6
|
|
Improvements on diagnostic assessment questionnaires of maturity level management with feature selection, file 0a61824b-9bb6-43ce-9944-52737f78153d
|
5
|
|
Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?, file 0a709c36-d3dd-4ede-80ef-80a49a72b95e
|
5
|
|
A meta-learning approach for selecting image segmentation algorithm, file c201e70e-605f-47d4-bf3d-ec2b065789b1
|
5
|
|
Pre-trained Data Augmentation for Text Classification, file d3c72b6c-70c2-4f53-8a7e-cd6e085e20f3
|
5
|
|
Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning, file 366be95a-5114-4320-b024-e85754a28083
|
4
|
|
Mobile botnets detection based on machine learning over system calls, file 42c3ac87-4a53-40b2-afeb-03d6b221740a
|
4
|
|
Analysis of Language Inspired Trace Representation for Anomaly Detection, file 44abadc4-5629-4e13-9d0e-6896080e5ae9
|
4
|
|
Induction motor short circuit diagnosis and interpretation under voltage unbalance and load variation conditions, file 5e4cef64-88d2-4996-9294-995552af7953
|
4
|
|
Toward Text Data Augmentation for Sentiment Analysis, file 6a9dd3d5-1021-44db-81bf-21785e988cd3
|
4
|
|
Selecting Optimal Trace Clustering Pipelines with Meta-learning, file 80f9e1a3-86b3-41f3-8749-97d6806712d3
|
4
|
|
Multiple voice disorders in the same individual: Investigating handcrafted features, multi-label classification algorithms, and base-learners, file a0fb64d9-947c-47d2-8e4f-d52057ff2add
|
4
|
|
Deciding among fake, satirical, objective and legitimate news: A multi-label classification system, file a1a45889-4dbc-4cc7-b3cb-92dbc33acab0
|
4
|
|
Sport action mining: Dribbling recognition in soccer, file e2913fdf-599f-f688-e053-3705fe0a67e0
|
4
|
|
Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing, file e2913fdf-7308-f688-e053-3705fe0a67e0
|
4
|
|
Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining, file e2913fdf-8fbb-f688-e053-3705fe0a67e0
|
4
|
|
DSTARS: A multi-target deep structure for tracking asynchronous regressor stacking, file e2913fdf-a87a-f688-e053-3705fe0a67e0
|
4
|
|
A meta-learning configuration framework for graph-based similarity search indexes, file f3900482-73a3-4640-800a-3d68c1bebd05
|
4
|
|
Comparison of rapid techniques for classification of ground meat, file 053253ed-a7c2-4c70-88bf-a7c62918bb10
|
3
|
|
U-healthcare system for pre-diagnosis of Parkinson's disease from voice signal, file 24a0cff6-fed8-4a5e-aa09-e60dad650f71
|
3
|
|
Acoustic investigation of speech pathologies based on the discriminative paraconsistent machine (DPM), file 33e6174e-8110-43c8-93d2-e9a0fb956ed9
|
3
|
|
Multi-Output Tree Chaining: An Interpretative Modelling and Lightweight Multi-Target Approach, file 34fa2e6d-72b3-458e-b3aa-e6d9e2cf8801
|
3
|
|
Dual Stage Image Analysis for a complex pattern classification task: Ham veining defect detection, file 3792e5f6-a5b6-4f97-9c3b-978bc85e1fa9
|
3
|
|
Comparing concept drift detection with process mining tools, file 3ef6016e-822a-4f25-bc6b-3b2e2b3eeebf
|
3
|
|
Towards meta-learning for multi-target regression problems, file 418f4873-e028-480d-a953-8829d2682f5d
|
3
|
|
Comparing concept drift detection with process mining tools, file 4f801bc8-c28a-411f-8d40-9a557847fd39
|
3
|
|
Improvements on diagnostic assessment questionnaires of maturity level management with feature selection, file 5112e4ad-37f2-4a50-810f-374e5a212d91
|
3
|
|
Evaluating the Four-Way Performance Trade-Off for Stream Classification, file 5b5f29e5-28f0-47ce-99a6-ce9cef812e65
|
3
|
|
Active Learning Embedded in Incremental Decision Trees, file 6fb4c208-9c14-465a-bcb0-deaa7e7265c3
|
3
|
|
Process Mining Encoding via Meta-learning for an Enhanced Anomaly Detection, file 7e05fa65-1f84-42d5-b838-65c11497a19d
|
3
|
|
Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects, file 7f93bac8-60c1-4a80-a907-3fe4fe5aa318
|
3
|
|
Anomaly detection on event logs with a scarcity of labels, file 8129b748-d594-49e4-af13-e9c26752cd63
|
3
|
|
Online local boosting: Improving performance in online decision trees, file 9328acf6-d94a-4338-ad4f-86283a0be5a9
|
3
|
|
How people interact with a chatbot against disinformation and fake news in COVID-19 in Brazil: The CoronaAI case, file 9ec92a29-38d1-4cfb-9070-9f80077aa359
|
3
|
|
On the use of online clustering for anomaly detection in trace streams, file 9f468bd0-6d27-4d40-9966-ff1f7b21c9b1
|
3
|
|
Meta-recommendation of pork technological quality standards, file b2fa72d2-0e3f-44f4-9286-2d5ff80ea360
|
3
|
|
Overlapping analytic stages in online process mining, file bafa6d2f-e526-4ef7-9a43-1e0c17be7084
|
3
|
|
Computer vision system and near-infrared spectroscopy for identification and classification of chicken with wooden breast, and physicochemical and technological characterization, file d127ee8b-f269-44a6-97bc-c161e25fa3d6
|
3
|
|
Using meta-learning for multi-target regression, file e2913fdf-59a2-f688-e053-3705fe0a67e0
|
3
|
|
Attack Detection in Smart Home IoT Networks using CluStream and Page-Hinkley Test, file e2913fdf-6e8a-f688-e053-3705fe0a67e0
|
3
|
|
Evaluating Trace Encoding Methods in Process Mining, file e2913fdf-7704-f688-e053-3705fe0a67e0
|
3
|
|
Fuzzy approach for classification of pork into quality grades: coping with unclassifiable samples, file e2913fdf-7916-f688-e053-3705fe0a67e0
|
3
|
|
Detection of Human, Legitimate Bot, and Malicious Bot in Online Social Networks Based on Wavelets, file e2913fdf-7917-f688-e053-3705fe0a67e0
|
3
|
|
Advances in Data Management in the Big Data Era, file e2913fdf-7f6a-f688-e053-3705fe0a67e0
|
3
|
|
Adaptive ensemble of self-adjusting nearest neighbor subspaces for multi-label drifting data streams, file e2913fdf-856b-f688-e053-3705fe0a67e0
|
3
|
|
Predicting poultry meat characteristics using an enhanced multi-target regression method, file e2913fdf-8dbe-f688-e053-3705fe0a67e0
|
3
|
|
Unsupervised online anomaly detection in Software Defined Network environments, file e2913fdf-a73a-f688-e053-3705fe0a67e0
|
3
|
|
White striping degree assessment using computer vision system and consumer acceptance test, file e42f9ce9-c729-4171-b71a-4f287fcd6687
|
3
|
|
Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning, file e4df0410-db5e-43c3-b3e9-b3a3ed222404
|
3
|
|
How machine learning can support cyberattack detection in smart grids, file f59ee696-7774-42fe-aeca-70cf530c0baf
|
3
|
|
Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra, file fb17a478-a469-447d-ba17-40b99ea00c08
|
3
|
|
Photovoltaic Generation Forecast: Model Training and Adversarial Attack Aspects, file 47a78763-b50f-4e60-8137-f6b66f962049
|
2
|
|
Explainable Time Series Tree: An Explainable Top-Down Time Series Segmentation Framework, file 621c9ce7-e86d-4b87-8b74-06e11ae164f3
|
2
|
|
Machine learning hyperparameter selection for Contrast Limited Adaptive Histogram Equalization, file 78b0b754-5a7f-408e-ab5d-f7bcf79d3ba6
|
2
|
|
Meta-recommendation of pork technological quality standards, file cfcea50b-9dd3-4e84-9dbc-ef2f15e03481
|
2
|
|
Improved prediction of soil properties with multi-target stacked generalisation on EDXRF spectra, file e792a061-08fb-45a5-a131-f15b4536e20b
|
2
|
|
Dual Stage Image Analysis for a complex pattern classification task: Ham veining defect detection, file f6eb0e1f-02aa-429a-916a-81d71acf5c0b
|
2
|
|
Matching Business Process Behavior with Encoding Techniques via Meta-Learning: An anomaly detection study, file 059ebe12-f482-4d61-9ced-3aeaf17434be
|
1
|
|
Benchmarking Change Detector Algorithms from Different Concept Drift Perspectives, file 7a52a7b5-351d-43f4-9cca-a77660b4dbd9
|
1
|
|
Automating Process Discovery Through Meta-learning, file 8ce0b229-e0c1-44d9-b433-7d3d3e6e56a4
|
1
|
| Totale |
2.250 |