| 1 |
MSc |
G. Argyrou |
Byzantine-Robust and Communication-Efficient Federated Fire Detection on Edge Cameras |
Aug. 2026 |
Kudelski IoT |
video |
| 2 |
MSc |
J. Haapanen |
Anomaly Detection in Phase-Level Maritime Operational Data — A Comparative Study of Detection Methods |
Aug. 2026 |
Napa Oy |
video |
| 3 |
MSc |
B. Prágai |
Merkle Tree-based framework for verifiable, incentivized and privacy-preserving data contribution systems: A Proof-of-concept |
Aug. 2026 |
Fixmeapp AB |
video |
| 4 |
MSc |
A. Päkkilä |
Active Constraint Set Learning for Constrained Optimization |
Aug. 2026 |
Relex Solutions |
video |
| 5 |
MSc |
I. Zalesskii |
Privacy-Friendly Click-Through Rate Prediction in Programmatic Display Advertising |
Aug. 2026 |
C Wire AG |
video |
| 6 |
MSc |
A. Nygård |
Agent-System Interface Designs for Enterprise Applications: A Comparative Empirical Study |
June 2026 |
Ardoq |
video |
| 7 |
MSc |
A. von Hertzen |
Interpretability-Driven Regularization for Station-Level Weather Forecasting |
May 2026 |
|
video |
| 8 |
MSc |
I. Viita |
Structuring Legacy Data: Classification Pipeline for Construction Industry Archives |
May 2026 |
|
video |
| 9 |
BSc |
A. Bogdanova |
Estimating Formula 1 qualifying performance with machine learning |
Apr. 2026 |
|
|
| 10 |
MSc |
B. Zheng |
Exploring the structure in deep networks: Group, manifold and category theory |
Dec. 2025 |
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| 11 |
MSc |
V. Niemi |
Diagnosing and improving a maintenance contract churn prediction model |
Dec. 2025 |
|
video |
| 12 |
MSc |
A. Hämäläinen |
Improving retrieval-augmented generation with LLM-as-a-judge evaluation |
Nov. 2025 |
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| 13 |
MSc |
S. Monira |
FedSock & FedBlue: Scalable decentralized federated learning systems with generalized total variation minimization (GTV-Min) |
Nov. 2025 |
|
|
| 14 |
BSc |
L. Kukkula |
Exploring large language models for clinical code assignment |
Sept. 2025 |
|
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| 15 |
MSc |
A. Pavlyuk |
Federated learning with multi-layer perceptron for sensor drift compensation in direct-ethanol fuel cells |
July 2025 |
|
video |
| 16 |
MSc |
S. Rachidi |
Explainable machine learning in cancer survival prediction — A case study of myeloma patients |
July 2025 |
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| 17 |
MSc |
C. Fait |
Designing a data pipeline for total column greenhouse gas measurements with portable EM27/SUN spectrometers |
July 2025 |
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| 18 |
MSc |
L. Tuominen |
Robust tap gesture recognition on wearable devices with domain adaptation |
July 2025 |
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| 19 |
MSc |
O. Lauronen |
Unsupervised semantic matching of support tickets |
May 2025 |
Polycon Oy |
|
| 20 |
MSc |
T. Salminen |
Contract review with large language models |
Apr. 2025 |
|
video |
| 21 |
MSc |
E. Kohvakka |
The role of analyst sentiment in excess return forecasting, and its implications for investors |
Apr. 2025 |
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| 22 |
MSc |
M. Regårdh |
Evaluation of large language models in the context of legacy codebase modernization |
Apr. 2025 |
|
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| 23 |
MSc |
A. Sarkima |
Graph-based anomaly detection: Evaluating Logs2Graphs with non-benchmark logs |
Mar. 2025 |
|
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| 24 |
MSc |
J. Naveed |
Optimized code generation in BIM with retrieval-augmented LLMs |
Feb. 2025 |
|
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| 25 |
MSc |
P. Wiwatphonthana |
Machine Learning Assisted Dynamic Scheduling for Energy Efficient Serverless Cloud Workloads |
Jan. 2025 |
Ericsson |
|
| 26 |
MSc |
Q. Luong |
Proof of concept for FedRelax on Kubernetes: An implementation guide |
Jan. 2025 |
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| 27 |
MSc |
P. Dang |
Model-Agnostic Personalized Federated Learning using Adaptive Client Selection |
Jan. 2025 |
|
video |
| 28 |
MSc |
L. Loukamo |
The effect of language on perceived ability to understand machine learning concepts |
Dec. 2024 |
|
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| 29 |
MSc |
I. Tarpila |
Training Machine Learning Models for E-sports Spatiotemporal Time Series Forecasting |
Nov. 2024 |
|
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| 30 |
MSc |
I. Lahtinen |
Binary classification of invoice documents based on value added tax |
Nov. 2024 |
KPMG Oy Ab |
|
| 31 |
MSc |
R. Kausiala |
Forecasting Retail Investor Fund Flow Using Machine Learning |
Nov. 2024 |
|
video |
| 32 |
MSc |
V. Toivonen |
Determining User Preference Profiles from Email And User Engagement Data |
Oct. 2024 |
Vibemetrics Oy |
video |
| 33 |
MSc |
M. Hilvo |
The effect of privacy enhancing technologies on the quality of predictive models in healthcare - Cardiovascular disease models as an example |
Oct. 2024 |
VTT |
|
| 34 |
MSc |
A. Bhat |
Classifying Scam E-Commerce Shops with Supervised Learning |
Oct. 2024 |
F-Secure |
|
| 35 |
BSc |
P. Frank |
Explainable empirical risk minimization in high-stakes decision making |
Sept. 2024 |
|
|
| 36 |
MSc |
A. Rodimov |
Security system based on object tracking by video stream |
Aug. 2024 |
|
video |
| 37 |
MSc |
A. Shuianova |
Kinship verification between two people by photos |
Aug. 2024 |
|
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| 38 |
MSc |
J. Rantanen |
Large Language Models in Mental Health Support |
Aug. 2024 |
|
video |
| 39 |
MSc |
R. Mård |
Backdoor attacks on large transformer-based regression model |
Aug. 2024 |
|
video |
| 40 |
MSc |
K. Nguyen |
Image Similarity Assessment for Product Quality Assurance |
Aug. 2024 |
|
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| 41 |
MSc |
A. Ghazal |
Zero-shot Machine Unlearning using GANs |
July 2024 |
Nokia |
|
| 42 |
MSc |
D. Suman |
Deep Learning Methods for Demand Time Series Forecasting |
June 2024 |
Zalando |
|
| 43 |
MSc |
A. Manninen |
Spatiotemporal Traffic Accident Prediction Using Deep Learning Models |
June 2024 |
|
video |
| 44 |
MSc |
S. Hirvonen |
Comparison of data-driven models for building energy load forecasting |
May 2024 |
VTT |
|
| 45 |
MSc |
L. Ban |
Neural Motif Counting in Uncertain Graphs |
May 2024 |
|
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| 46 |
MSc |
R. Virtanen |
Explainable AI Techniques in Trustworthy Object Detection |
May 2024 |
TietoEVRY Oyj |
video |
| 47 |
BSc |
M. Uusitalo |
Error analysis on clustered federated learning |
May 2024 |
|
|
| 48 |
BSc |
T. Eväsoja |
Determining dependencies in multivariate time series data: Using machine learning methods |
May 2024 |
|
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| 49 |
BSc |
S. Koivumaa |
Design criteria for trustworthy AI |
May 2024 |
|
|
| 50 |
BSc |
E. Närhi |
Linear relationships between time series - A case study |
May 2024 |
|
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| 51 |
BSc |
S. Hirvonen |
Applying supervised machine learning for predicting maximal heart rate during aerobic exercise |
May 2024 |
|
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| 52 |
BSc |
A. Nguyen |
Adversarial robustness of GPT-3.5 Turbo |
Apr. 2024 |
|
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| 53 |
BSc |
N. Vo |
Electricity companies as healthcare service |
Apr. 2024 |
|
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| 54 |
MSc |
T. Kulokoski |
How well can machine learning teach humans about machine learning? |
Mar. 2024 |
|
video |
| 55 |
MSc |
S. Facchini |
Prediction of fuel usage consumption in the airline industry |
Mar. 2024 |
Finnair |
|
| 56 |
MSc |
L. Veneranta |
Optimization of web page advertisements using contextual bandits |
Jan. 2024 |
Sanoma Media |
|
| 57 |
MSc |
J. Li |
Empirical emissions modeling using machine learning |
Jan. 2024 |
Aurobay |
|
| 58 |
MSc |
K. Izadi Garmaseh |
Frequency offset estimation using deep learning |
Jan. 2024 |
Nokia |
|
| 59 |
MSc |
S. Chowdhury |
Computer vision-assisted safety alert system for industrial settings in private 5G networks |
Jan. 2024 |
TietoEVRY Oyj |
|
| 60 |
MSc |
T. Kontola |
Predicting user web behaviour with machine learning methods |
Jan. 2024 |
Columbia Road Oy |
|
| 61 |
MSc |
R. Siljander |
Extreme gradient boosting methods for covariate forecasting of housing market demand in Finnish postal code areas |
Dec. 2023 |
Alma Talent Oy |
|
| 62 |
MSc |
J. Jäkärä |
From candles to ticks – Improving financial backtesting accuracy |
Dec. 2023 |
Aekos Trading Oy |
|
| 63 |
MSc |
X. Landa Oregi |
MLOps data ingestion pipeline for reciprocal benefit between customer and provider |
Dec. 2023 |
Huawei |
|
| 64 |
MSc |
T. Brumani |
Microservices-based autonomous anomaly detection for mobile network observability |
Oct. 2023 |
Ericsson |
video |
| 65 |
MSc |
G. Rivi |
Software defined networking controlled energy optimization through traffic prediction on microwave access network |
Oct. 2023 |
Ericsson |
video |
| 66 |
MSc |
Á. García Gutierrez |
Anomaly detection on osmosis trades |
Oct. 2023 |
Numia Data |
|
| 67 |
MSc |
Z. Liu |
Deep learning based method for fire detection |
Oct. 2023 |
Detectium |
|
| 68 |
MSc |
M. Bogdanova |
Contextual bandits for staffing in consulting companies: An exploration of personalized decision making |
Oct. 2023 |
|
|
| 69 |
BSc |
H. Kivijärvi |
Weather forecasting with deep learning methods |
Sept. 2023 |
|
|
| 70 |
MSc |
Z. Zhou |
Building information modeling connection recommendation based on machine learning using multimodal information |
Aug. 2023 |
|
video |
| 71 |
MSc |
Y. Sarcheshmehpour |
Application of reinforcement learning in electrical machine design |
Aug. 2023 |
ABB |
video |
| 72 |
MSc |
L. Garcia Tejada |
Applying machine learning to forecast Formula 1 race outcomes |
Aug. 2023 |
|
video |
| 73 |
MSc |
C. Segercrantz |
Experimental evaluation of record linkage algorithms in a secure banking environment |
Aug. 2023 |
Nordea Bank Oyj |
|
| 74 |
MSc |
H. Wang |
Material capture and generative rendering with phenomenological reflectance models |
Aug. 2023 |
Huawei |
|
| 75 |
MSc |
G. Jiang |
Parallel training of neural networks in 6G L1 |
Aug. 2023 |
Nokia |
|
| 76 |
MSc |
K. Lasocki |
Deep learning for continuous symbolic melody generation conditioned on lyrics and initial melodies |
Aug. 2023 |
|
|
| 77 |
MSc |
T. Vanhala |
Data-driven xVA exposure calculation for a portfolio of interest rate swaps |
May 2023 |
Nordea Markets |
|
| 78 |
MSc |
A. Agisheva |
Ethics in machine learning publications: Peer-review analysis using NLP methods |
May 2023 |
|
|
| 79 |
MSc |
R. Tikkanen |
Clustering fitness tracker data to correct interdevice differences in energy expenditure estimation |
May 2023 |
Fjuul |
|
| 80 |
BSc |
R. Vikström |
Trustworthy AI in drug development |
Apr. 2023 |
|
|
| 81 |
BSc |
M. Lippo |
Poisoning attacks on federated learning |
Apr. 2023 |
|
|
| 82 |
BSc |
I. Tulkki |
Implementing backdoor data poisoning attacks |
Apr. 2023 |
|
|
| 83 |
MSc |
H. Vu |
Deep learning based mammography image segmentation |
Mar. 2023 |
Planmed |
|
| 84 |
MSc |
S. Johansson |
Classification of purchase invoices to analytic accounts with machine learning |
Jan. 2023 |
SprintIT |
video |
| 85 |
MSc |
T. Sormunen |
Pallet detection in warehouse environment |
Jan. 2023 |
Wärtsilä |
|
| 86 |
MSc |
J. Himanen |
Towards a data-driven circular economy: predicting material streams in the construction industry |
Jan. 2023 |
|
|
| 87 |
MSc |
V. Petrutiu |
Exploring transformers and degradation methods in the super resolution field |
Dec. 2022 |
Huawei |
|
| 88 |
BSc |
A. Hakola |
Machine learning in prediction of blood glucose values for treatment of type 1 diabetes |
Dec. 2022 |
|
|
| 89 |
MSc |
B. Fazekas |
Distractive driver behaviour detection with spiked neural networks |
Nov. 2022 |
|
|
| 90 |
MSc |
T. Rahman |
Intrusion detection system based on deep learning |
Aug. 2022 |
|
|
| 91 |
MSc |
T. Gyabaah |
Artificial intelligence to support NFTs creation: Comparison of machine learning algorithms to detect fraud in artwork |
Aug. 2022 |
|
|
| 92 |
MSc |
Á. C. Barcsa-Szabó |
Feature-based approaches for ethical news personalisation |
Aug. 2022 |
Sanoma Media |
|
| 93 |
MSc |
J. Lillfors |
Networked federated learning |
July 2022 |
|
|
| 94 |
MSc |
C. Molinero Ranera |
Multi-label classification of a hydraulic system using machine learning methods |
July 2022 |
|
video |
| 95 |
MSc |
P. Truong |
Crown-of-Thorns Starfish Detection by state-of-the-art YOLOv5 |
July 2022 |
|
|
| 96 |
BSc |
S. Rachidi |
Explainable machine learning in the prediction of breast cancer |
July 2022 |
|
|
| 97 |
MSc |
Y. Huang |
Text analysis of novel coronavirus pneumonia based on federal deep learning |
June 2022 |
|
|
| 98 |
MSc |
C. Ozen |
A collaborative approach for large-scale electricity consumption using federated learning |
June 2022 |
|
|
| 99 |
BSc |
M. Lamoureux |
Binary classification of histopathological images by pre-trained modified VGG16 model |
Apr. 2022 |
|
|
| 100 |
MSc |
P. Prinsén |
Robust gas pressure control using neural networks |
Jan. 2022 |
Wärtsilä |
|
| 101 |
MSc |
E. Hattula |
Transfer learning technology for building extraction from orthophotos and open-source data |
Jan. 2022 |
National Land Survey of Finland |
|
| 102 |
MSc |
A. Channabasaiah |
Applying machine learning methods to predict taxi pickups using historical taxi data |
Jan. 2022 |
|
video |
| 103 |
MSc |
R. Hellström |
Aspect based sentiment analysis in Finnish |
Jan. 2022 |
Crowst Oy |
|
| 104 |
MSc |
P. Pyrrö |
AIR: Aerial inspection RetinaNet for land search and rescue missions |
Jan. 2022 |
Accenture |
|
| 105 |
MSc |
A. Orre |
Pedestrian movement analysis from drone perspective |
Dec. 2021 |
|
|
| 106 |
BSc |
J. Tuomaala |
Learned personalized predictors for COVID-19 infections |
Dec. 2021 |
|
|
| 107 |
PhD |
R. Tervo |
Machine Learning-Based Weather Impact Forecasting |
Nov. 2021 |
|
|
| 108 |
MSc |
P. Vijayakrishnan |
Semi-supervised machine learning techniques for infant motility classification |
Oct. 2021 |
|
|
| 109 |
MSc |
K. Ariko |
Increasing the safety in the proximity of the mobile working machines: A study of detecting people |
Oct. 2021 |
Epec Oy |
|
| 110 |
MSc |
M. Uutaniemi |
Extraction of labeled fields from images of structured documents |
Aug. 2021 |
|
|
| 111 |
MSc |
K. Kutlu |
Machine learning based chaos engineering for cloud-native microservice architectures |
Aug. 2021 |
Ericsson |
|
| 112 |
MSc |
M. Leinonen |
Federated multi-task learning over networked data |
June 2021 |
|
|
| 113 |
MSc |
M. Afteniy |
Predicting time series with transformer |
May 2021 |
|
|
| 114 |
MSc |
Z. Mohammadi |
Better utilization of relational data in machine learning |
May 2021 |
Lamia Oy |
|
| 115 |
BSc |
E. Hiitola |
Predicting level of care requirements and mortality of SARS-CoV-2 cases based on patient comorbidities and characteristics |
May 2021 |
|
|
| 116 |
MSc |
T. Nguyen |
Applying machine learning to develop black-box control model of active double-skin facade |
Jan. 2021 |
|
|
| 117 |
MSc |
T. Kokkonen |
Classifying restaurant menu items with supervised learning |
Jan. 2021 |
|
video |
| 118 |
MSc |
J. Seppälä |
Application of machine learning to link click predictions in Facebook Family of Apps advertising |
2021 |
|
|
| 119 |
MSc |
I. Vikström |
Deep reinforcement learning approach for HVAC control |
Dec. 2020 |
TietoEVRY Oyj |
video |
| 120 |
PhD |
T. Lehto |
Process Mining Based Influence Analysis for Analyzing and Improving Business Processes |
Nov. 2020 |
|
|
| 121 |
PhD |
M. Hinkka |
Machine Learning and Distributed Computing Techniques for Process Mining |
Nov. 2020 |
|
|
| 122 |
MSc |
D. Tokmurzina |
Road marking condition monitoring and classification using deep learning for city of Helsinki |
Oct. 2020 |
|
|
| 123 |
MSc |
C. Dikmen |
Application of contextual bandits models in a supervised learning setting |
Aug. 2020 |
|
|
| 124 |
MSc |
J. Laiho |
Recognizing thoughts from bioelectric patterns? A brain-computer interface with deep learning |
Aug. 2020 |
Accenture Liquid Studio (NL) |
video |
| 125 |
MSc |
X. Zhang |
Diagnostic and prognostic analysis optimization of field problems for EV charging stations |
Aug. 2020 |
ABB |
video |
| 126 |
MSc |
M. Mishin |
Anomaly detection algorithms and techniques for network intrusion detection systems |
Aug. 2020 |
Ericsson |
video |
| 127 |
MSc |
K. Klemets |
Forecasting hourly parking occupancy with multiple seasonalities |
Aug. 2020 |
City of Helsinki |
|
| 128 |
MSc |
T. Valentijn |
The practical applicability of a CNN for automated building damage assessment |
June 2020 |
Red Cross NL |
|
| 129 |
MSc |
T. Hämmäinen |
Clustering IoT devices for network intrusion detection systems |
May 2020 |
Ericsson |
|
| 130 |
MSc |
J. Moisala |
Optimizing the mark-up of foreign exchange derivative contracts using machine learning |
May 2020 |
|
|
| 131 |
MSc |
J. Nieminen |
Framework for application of machine learning algorithms in telecommunications |
Mar. 2020 |
Nokia |
|
| 132 |
PhD |
N. Tran-Quang |
Machine Learning for Networked Data |
Feb. 2020 |
|
|
| 133 |
MSc |
L. Kolehmainen |
A web scraping system for extracting news articles |
Dec. 2019 |
Vainu Finland Oy |
|
| 134 |
MSc |
M. Torres Porta |
Anti-money laundering system based on customer behavior |
Aug. 2019 |
|
|
| 135 |
MSc |
T. Wiro |
Market influence on purchase prices in procurement |
June 2019 |
Sievo |
|
| 136 |
MSc |
D. Baad |
Automatic job skill taxonomy generation for recruitment systems |
June 2019 |
VXT Research Oy |
|
| 137 |
MSc |
J. Eskonen |
Deep Reinforcement Learning in automated user interface testing |
May 2019 |
Ericsson |
|
| 138 |
MSc |
A. Moskalev |
Demand forecasting for fast-moving products in grocery retail |
May 2019 |
Relex Solutions |
|
| 139 |
BSc |
N. Erkinheimo |
Automated categorization of course feedback using word embeddings |
May 2019 |
|
|
| 140 |
MSc |
K. Karapetyan |
Process mining of automation services with long short-term memory neural networks |
Mar. 2019 |
Posti Group Oyj |
|
| 141 |
MSc |
H. Ambos |
Semi-supervised learning over complex networks |
Mar. 2019 |
|
|
| 142 |
MSc |
J. Kahles Bastida |
Applying machine learning to root cause analysis in agile CI/CD software testing environments |
Jan. 2019 |
Ericsson |
|
| 143 |
MSc |
A. Shehata |
Cellular network average user throughput-downlink prediction by machine learning |
Dec. 2018 |
Nokia |
|
| 144 |
MSc |
O. Abramenko |
Graph signal sampling via reinforcement learning |
Nov. 2018 |
|
|
| 145 |
MSc |
M. Nasir |
Supervised learning in lighting control systems |
Oct. 2018 |
|
|
| 146 |
MSc |
D. Wu |
Unsupervised learning for lighting control system |
Oct. 2018 |
Helvar Oy |
|
| 147 |
MSc |
N. Pokhrel |
Drone obstacle avoidance and navigation using artificial intelligence |
May 2018 |
Nokia |
|
| 148 |
BSc |
M. Afteniy |
Gradient-based deep reinforcement learning |
Apr. 2018 |
|
|
| 149 |
MSc |
D. Koskenniemi |
Do financial networks improve the explanatory power of the Fama-French factors? A comparison of propagation algorithms on stock market returns |
Mar. 2018 |
|
|
| 150 |
MSc |
S. Basirian Jahromi |
Compressed sensing for big data over complex networks |
Jan. 2018 |
|
|
| 151 |
MSc |
A. Mara |
A comparative analysis of graph signal recovery methods for big data networks |
Oct. 2017 |
|
|
| 152 |
MSc |
Y. Gao |
Graphical model selection in big data application |
Dec. 2016 |
|
|