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NameCo-Coach / CompanyDownload ?
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Course Projects for Cmput 466/566 [Jan-Apr'19]
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Forecasting Rec. Facility Turnout Across EdmontonRoman Eisner <roman.eisner@edmonton.ca>
(City of Edmonton)
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Natural Learning Processing Predicting Evolution & Success of SlangShaheer Rizvi <sarizvi@ualberta.ca>
Paul Messinger <paulm@ualberta.ca>
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Brain-Age ClassificationBo Cao <bcao2@ualberta.ca>
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Sex classification based on brainBo Cao <bcao2@ualberta.ca>
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Predicting Wildfire Initial Attack Success in AlbertaIlbin Lee <Ilbin@ualberta.ca>
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Predicting 30 day mortality
Ram Anantha Ram.Anantha@albertahealthservices.ca
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Predicting brain hematoma expansion in stroke patientsBrian Buck <bbuck@ualberta.ca>
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Segmenting hematoma in stroke patientsBrian Buck <bbuck@ualberta.ca>
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Using machine learning to detect anomaly in transactionsGunjan Kaur <gkaur2@atb.com>, Dmitriy Volinskiy <dvolinskiy@atb.com>
(ATB)
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Detecting Anomaly of Customer’s Banking ActivityGunjan Kaur <gkaur2@atb.com>, Dmitriy Volinskiy <dvolinskiy@atb.com>
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Image classification on attendance and numbers of P FalconE Hedlin <hedlin@ualberta.ca>
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Convolutional Neural Networks in Ultrasound Image SegmentationAbhilash Rakkunedeth <abhilash@medo.ai>
Medo.AI
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Course Projects for Cmput 466/551 [Sept-Dec'16]
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Oil Price Forecasting Using Machine LearningCraig Schram, Finbarr Timbers
Darkhorse Analytics
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Automated Image Segmentation for Retinal Images of subjects diagnosed with Choroideremia diseaseDana Cobzas
John Dimopoulos
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Learning maternal characters to predict offspring healthPadma Kaul
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Instrument Transcription (Recognize the pitches in music)Greg Burlet
Frettable
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Nonparametric Bayesian Tensor FactorizationJunfeng Wen
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Machine Learning in Real-time Heuristic SearchVadim Bulitko
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Multitask Learning For Crime Prediction in the Edmonton AreaKoosha Golmohammadi / City of Edmonton
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Otto Group Product Classification ChallengePeng Xu
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Gender prediction from handwritingPeng Xu
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Predicting Potential Subscribers Based on Jobber Free Trial AccountsRoman Eisner
Jobber
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Predicting Customer ChurnRoman Eisner
Jobber
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Optimizing L2 for Patient-Specific Survival PredictionBret Hoehn
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Using backoff and stacking methods in Survival PredictionNegar Hassanpour
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Automated Bird Species Recognition in Noisy EnvironmentsVadim Bulitko, Erin Bayne
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Course Projects for Cmput 466/551 [Sept-Dec'15]
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Multiple Sclerosis Lesion Segmentation in MRI ImagesD Cobzas
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Analysis of feature learning on image segmentationD Cobzas
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Machine Learning: A ​*Gaitway*​ to Effective Pedobarometer AnalysisAlbert Vette
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Outcome Prediction in the Game of Curling
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Predicting NMR Chemical Shifts from Chemical StructuresD Wishart
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Modeling lung cancer patient survival data obtained from SEER using MTLR methodNegar Hassanpour
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Mixed-norm regularization for Patient Specific Survival Prediction
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Analyzing Housing Prices and Predicting Sale ValuesKoosha Golmohammadi / City of Edmontonhttp://ace.edmonton.ca/machine-learning/
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Predicting Bus Arrival TimeKoosha Golmohammadi / City of Edmontonhttp://ace.edmonton.ca/machine-learning/
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A Semi-supervised approach to disaggregate household energy consumption dataC Szespesvari
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Metadata Retrieval on Music FilesA Hindle
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Elucidating energy consumption on mobile platforms using current machine learning techniques.A Hindle
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How to wreck a nice tweet?Erin Bayne
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Course Projects for Cmput 466/551 [Sept-Dec'14]
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T01: Classification of Subsequent Memory Effect Using EEG Data & Machine LearningMatt BrownDownload
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T02: Handling Missing Data in the Multi-task LogisticRegression ModelPing Jin
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T03: Machine learning for mountain pine beetleMark Lewis
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T04: Mixture of Experts Model for Image Splicing DetectionNilanjan Ray
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T05: Classification of Protein CrystallizationLu Deng
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T06: Colonic Polyp Prediction based on Urinary MetabolitesRoman Eisner
Metabolomics Technology Inc. (MTI)
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T07: Project Smiley :-)
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T08: Sentiment Analysis In Figurative Language (using Twitter Data)Greg Kondrak
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T09: Comparing linear and non-linear methods for feature selection and classification in EEG motor imagery tasksPatrick Pilarski
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T10: Bear Classification and DetectionMark Lewis
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T11: Modeling Software Energy Consumption: A Machine Learning ApproachAbram Hindle
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T12: Sentiment Analysis on Movie Reviews (Kaggle)Ameneh Gholipour Shahraki,
Ali Yadollahi
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T13: Epileptic Seizure predictionMatt Brown
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Course Projects for Cmput 466/551 [Sept-Dec'13]
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Create an algorithm to distinguish dogs from cats
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Towards EMG-based Robot Arm Control: Motion Primitives and ClassificationPatrick Pilarski
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Efficiently finding Discriminatory GenesSheehan Khan
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Evaluation of Music Feature Extraction Methods for Artist Identification and Track GenerationGreg Burlett
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Reverse MetronomeGreg Burlett
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Survival predictionPing JinDownload
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Using SNPs to Select Maize Lineages for BreedingChristina Liu,
Mohsen Hajiloo
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Finding Recoverability Number For Oil From Oil Sand Ore
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Applying machine learning techniques to diagnosis of ADHD from fMRI data
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Learning to rank hotelsBret Hoehn
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Predicting Prognosis for Brain Tumor PatientsBret Hoehn
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Detecting Duplicate Bug ReportsAbram HindleDownload
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Course Projects for Cmput 466/551 [Jan-Apr'08]
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Extraction of Additional Data to Improve Netflix Prediction Accuracy (Netflix)Bret Hoehn
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Using reinforcement learning to learn parameters for gradient descent
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Movie Classification (Netflix)Bret Hoehn
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Combining Predictors (Netflix-ish) Bret Hoehn
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An Investigation of the Effect of Using Additional Movie Information in Netflix Prize (Netflix) Bret Hoehn
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Learning the Betting Abstraction of Computer Agents in No-Limit Texas Hold'em Poker
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Soft sensor developments for chemical processes using machine learning methods
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Machine Learning on Metabolomics Datasets Roman Eisner
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Investigating Clustering and Feature Selection methods for Microarray Data Analysis Barnabas Pocnoz
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Discovering Regularities in Sparse Representation data Barnabas Pocnoz
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Course Projects for Cmput 466/551 [Jan-Apr'05]
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MLCV (Machine Learning for Computer Vision)
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Comparison of Anomaly Detection Methods for Disease Outbreak Analysis
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Recognizing and acting on hand signals using vision on an AIBO
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Creature Motor Control With Reinforcement Learning
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Supervised Machine Learning of Movie Reviews for Polarity Determination, Genre Categorization and Success Prediction
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Learning Models of Exercise Response
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Automated Heuristic Refinement applied to Sokoban
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Opponent Modeling In "President"
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Transmembrane Region Prediction
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Learning better evaluation functions by implementing TDLeaf in Checkers
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