Project dissemination

An overview of the outcomes for the project

Gabriela Czibula, Andrei Mihai, Eugen Mihuleț, NowDeepN: An ensemble of deep learning models for weather nowcasting based on radar products’ values prediction, Applied Sciences, 2021, 11(1), 125; Special Issue Applied Machine Learning, https://doi.org/10.3390/app11010125. (2021 IF=2.838, Q2).
Gabriela Czibula, Andrei Mihai, Alexandra-Ioana Albu, Istvan-Gergely Czibula, Sorin Burcea, Abdelkader Mezghani, AutoNowP: An approach using deep autoencoders for precipitation nowcasting based on weather radar reflectivity prediction, Mathematics, 9(14):1653. https://doi.org/10.3390/math9141653 Special Issue on Computational Optimizations for Machine Learning. 2021 (2021 IF=2.592, Q1).
Vlad-Sebastian Ionescu, Gabriela Czibula, Eugen Mihuleț, DeePSat: A deep learning model for prediction of satellite images for nowcasting purposes, 25thInternational Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2021), Procedia Computer Science Volume 192, 2021, Pages 622-631, (B-ranked according to CORE classification, indexed WoS).
Albu, Alexandra-Ioana: Towards learning transferable embeddings for protein conformations using Variational Autoencoders, 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2021), Procedia Computer Science, Volume 192, 2021, Pages 10-19 (B-ranked according to CORE classification, indexed WoS).
Gabriela Czibula, Alexandra Albu, Maria Iuliana Bocicor, Camelia Chira, AutoPPI: An ensemble of deep autoencoders for protein-protein interaction prediction, Entropy, Special issue on Computational Methods and Algorithms for Bioinformatics, 23(6), 643, 2021, (2021 IF=2.738, Q2).
Bratu A., Czibula G., DAuGAN: An approach for augmenting time series imbalanced datasets via latent space sampling using adversarial techniques, Scientific Programming, Special Issue on Theory, Algorithms, and Applications for the Multiclass Classification Problem, Vol. 2021, Article ID 7877590, (2021 IF=1.672, Q3).
Nistor, S.C., Czibula, G., IntelliSwAS: Optimizing Deep Neural Network Architectures using a Particle Swarm-based Approach, Expert systems with Applications, Volume 187, ID 11594 January 2022, Available online: 23 September 2021 (2021 IF=8.665, Q1).
Cristian-Lucian Grecu, Sateliții Meteorologici, TODAY SOFTWARE MAGAZINE, Nr. 116, February 2022, pp. 32-36. Abstract
Cristian-Lucian Grecu, Sateliții Meteorologici (II) - Produsele satelitare RGB, TODAY SOFTWARE MAGAZINE, Nr. 117, March 2022, pp. 18-21. Abstract
Udo Reckerth, Introducere în Meteorologia RADAR, TODAY SOFTWARE MAGAZINE, Nr. 118, April 2022, pp. 28-31. Abstract
Albu, Alexandra-Ioana, An Approach for Predicting Protein-Protein Interactions using Supervised Autoencoders, 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2022), Procedia Computer Science, Vol. 207 (2022), pp. 2023-2032
Meda Andrei, Prognoza Vremii și Modelele Numerice, TODAY SOFTWARE MAGAZINE, Nr. 119, May 2022, pp. 27-30. Abstract
Albu, A.-I., Czibula G., Mihai, A., Czibula, I.G., Burcea, S. Mezghani, A., NeXtNow: A Convolutional Deep Learning Model for the Prediction of Weather Radar Data for Nowcasting Purposes, Remote Sensing, Special Issue "Artificial Intelligence-Based Learning Approaches for Remote Sensing", 2022, 14(16), 3890 (2021 IF=5.349, Q1)
Narcisa Milian, Cristina Blaga, Avertizările Meteorologice de tipul nowcasting, TODAY SOFTWARE MAGAZINE, Nr. 121, June 2022, pp. 25-29. Abstract
Gabriela-Victoria Harpa, Adela-Mariana Mitea, Date, măsurători și rețeaua meteorologică, TODAY SOFTWARE MAGAZINE, Nr. 122, July 2022, pp. 22-27. Abstract
Ciubotariu, G., Czibula, G., MBMT-Net: A multitask learning based convolutional neural network architecture for dense tasks performance improvement, IEEE Access, 2022, Volume 10, pages 125600 - 125615 (2021 IF=3.476, Q2)
Alexandra-Ioana Albu, Maria-Iuliana Bocicor, Gabriela Czibula, MM-StackEns: A new deep multimodal stacked generalization approach for protein–protein interaction prediction, Computers in Biology and Medicine, Vol. 153, 106526, 2023 (2022 IF=7.7, Q1)
Mihuleţ, Eugen, Sorin Burcea, Andrei Mihai, and Gabriela Czibula, Enhancing the Performance of Quantitative Precipitation Estimation Using Ensemble of Machine Learning Models Applied on Weather Radar Data, Atmosphere 14, no. 1: 182, 2023 (2022 IF=2.9, Q2)
Adelin Mihoc, Vlad-Sebastian Ionescu, Ioan-Gabriel Mircea, Gabriela Czibula, Eugen Mihuleț, Trygve Aspenes, ConvSNow: A tailored Conv-LSTM architecture for weather nowcasting based on satellite imagery, 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2023), 2023, to be published (B-ranked according to CORE classification, indexed WoS)
Alexandra-Ioana Albu, Improving radar echo extrapolation models using autoencoder-based perceptual losses, 27th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2023), 2023, to be published (B-ranked according to CORE classification, indexed WoS)
Andrei Mihai, XNow: un model de învățare profundă pentru prezicerea datelor radar în meteorologie, TODAY SOFTWARE MAGAZINE, Nr. 134, pp. 15-18.

Gabriela Czibula, Andrei Mihai, Eugen Mihuleț, Daniel Teodorovici, Using self-organizing maps for unsupervised analysis of radar data for nowcasting purposes, 23nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2019), Procedia Computer Science Vol 159, (2019) pp. 48-57
Andrei Mihai, Gabriela Czibula, Eugen Mihuleț, Analyzing Meteorological Data Using Unsupervised Learning Techniques, ICCP 2019: Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2019, Cluj-Napoca, Romania, IEEE Computer Society Press, pp. 529 – 536
Ioana Angela Socaci, Gabriela Czibula, Vlad-Sebastian Ionescu, Andrei Mihai, XNow: A deep learning technique for nowcasting based on radar products’ values prediction, IEEE 14th International Symposium on Applied Computational Intelligence and Informatics, SACI 2020, Timișoara, IEEE Computer Society, pp. 117-122
Gabriela Czibula, Andrei Mihai, Istvan Gergely Czibula, RadRAR: A relational association rule mining approach for nowcasting based on predicting radar products’ values, 24nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES2020), Procedia Computer Science, Vol. 176, pp. 300-309

2021, Andrei Mihai (BBU): Machine learning models for weather nowcasting
2023, Alexandra-Ioana Albu (BBU): Unsupervised representation learning and feature fusion in supervised tasks. Applications in natural sciences
2023, Mariana-Ioana Maier (BBU): Mining students' behavioural features in multiple learning environments

On the 28th of May 2021, the 1st Workshop on Applied Deep Learning was jointly organised by the MLyRE research group on Machine Learning, Faculty of Mathematics and Computer Science, Babeș-Bolyai University together with the Romanian National Meteorological Administration and Meteorologisk Institutt Norway.
On the 3rd of June 2022, the 2nd Workshop on Applied Deep Learning was jointly organised by the MLyRE research group on Machine Learning, Faculty of Mathematics and Computer Science, Babeș-Bolyai University together with the Romanian National Meteorological Administration and Meteorologisk Institutt Norway.
On 19 - 22 september, 2022, the Science2Service workshop at Meteorologisk Institutt Norway.

2021, WeADL workshop, Eugen Mihuleț (NMA): Technology in weather forecasting
2021, WeADL workshop, Sorin Burcea (NMA): Weather radars basic principles and application in nowcasting in Romania
2021, WeADL workshop, Ivar Seierstad & Thomas Nipen (MET): Nowcasting on Yr - opportunities and challenges
2021, WeADL workshop, Arild Burud (MET): A brief introduction to the netCDF format and THREDDS data server
2021, WeADL workshop, Istvan Czibula (BBU): Computational models for nowcasting
2021, WeADL workshop, Andrei Mihai (BBU): Supervised and unsupervised machine learning for nowcasting, applied on radar data from central Transylvania region
2021, Alexandra Albu (BBU): Deep learning models for composite reflectivity prediction
2021, WeADL workshop, Vlad Ionescu (BBU): Deep neural network models for nowcasting using satellite data
2021, WeADL workshop, George Ciubotariu (BBU): Enhancing the performance of indoor-outdoor image classifications using features extracted from depth-maps
2021, WeADL workshop, Alexandru-Marian Adăscăliței (BBU): Review and analysis of grayscale photography colorization using CNNs
2021, WeADL workshop, Maria-Mădălina Mircea (BBU): A machine learning approach for data protection in VR therapy applications
2021, WeADL workshop, Andrei Bratu (BBU): Augmenting time series datasets via latent space sampling with applications in algorithmic trading
2021, WeADL workshop, Iulia-Monica Szuhai (BBU): DNA classification using supervised deep learning
2021, NMA internal workshop, Sorin Burcea (NMA): Proiect WeaMyL
2021, Cluj IT Days, Andrei Mihai (BBU): Enhancing the performance of weather nowcasting by use of machine learning techniques
November 10-12, 2021, Sesiunea științifică anuală a Administrației Naționale de Meteorologie, Eugen Mihuleț (NMA): Analiza performanței modelului NowDeepN pentru predicția valorilor produselor radarului meteorologic WSR-98D Bobohalma
January 18th, 2022, Internal meeting, Oslo, Norway: Overview of machine learning activities at MET Norway
March 18th, 2022, Air and Water – Components of the Environment International Conference, Eugen Mihuleț (NMA), Analysis of Applying a Deep Learning Model for Prediction of WSR-98D Weather Radar Product Values
2022, WeADL workshop, Sorin Cheval (NMA) A country scale assessment of the heat hazard-risk in urban areas
2022, WeADL workshop, Mihaela Caian (NMA) Variability of precipitation in Romania: recent trends and projected changes in climate scenarios
2022, WeADL workshop, Magnus Haukeland (MET) How nowcasting is used in today’s danger warnings
2022, WeADL workshop, Christoffer Artturi Elo (MET) Processing and filtering of radar end-product composite reflectivity
2022, WeADL workshop, Mihai Andrei (BBU) Using convolutional autoencoders for precipitation nowcasting based on radar data
2022, WeADL workshop, Gabriel-Ioan Mircea (BBU) ConvLSTM architectures for meteorological nowcasting based on satellite imagery
2022, WeADL workshop, Abdelkader Mezghani (MET) How to use the WeaMyL machine learning forecasting platform
2022, WeADL workshop, Arild Burud (MET) A brief introduction on the netCDF file format, the OPeNDAP protocol and THREDDS Data server
2022, WeADL workshop, George Ciubotariu (BBU) MBMT-Net: A Multi-Backbone, Multi-Task Deep Convolutional Neural Network
2022, WeADL workshop, Radu Galan (BBU) Generation and Simulation of Artificial Human Societies using Anthropologically modelled Learning Agents
2022, WeADL workshop, Raluca Hațegan (BBU) Application of Machine Learning algorithms for the botanical origin assessment of honey using isotope and elemental profiles
2022, WeADL workshop, Alexandra Albu (BBU) Protein-Protein Interaction Prediction using a Deep Learning Approach based on Autoencoders
2022, Cluj IT Days, Andrei Mihai (BBU): An innovative machine learning model for short term weather prediction based on radar data
January 31th 2023, Artificial Intelligence 4.0@UBB, Eugen Mihuleț (NMA), AI for Environment
2023, WeADL workshop, Andrei Mihai (BBU) XNow: a convolutional neural network model for weather nowcasting using radar data from the Romanian National Meteorological Administration
2023, WeADL workshop, Alexandra Albu (BBU) A convolutional neural network approach for weather forecasting using radar data
2023, WeADL workshop, Eugen Mihuleţ (NMA) Enhancing the performance of quantitative precipitation estimation using ensemble of machine learning models applied on weather radar data
2023, WeADL workshop, Abdelkader Mezghani (MET) The WeaMyL Annotated Atlas of Meteorological Observations
2023, WeADL workshop, Abdelkader Mezghani (MET) The WeaMyL Forecasting Platform
2023, WeADL workshop, George Ciubotariu (BBU) Comparing one- and binary-class SVM-based software defect predictors
2023, WeADL workshop, Paul Orășan (BBU) Video completion conditioned by natural language-based descriptions
2023, WeADL workshop, Anamaria Briciu (BBU) Enhancing the performance of software authorship attribution using deep autoencoders
2023, WeADL workshop, Sîrbu Alexandru-Gabriel (BBU) Automatic code generation for malware detection based on MITRE ATT&CK techniques
2023, WeADL workshop, Imre Mali (BBU) Finding Cooperation in the N-Player Iterated Prisoner’s Dilemma with Deep Reinforcement Learning Over Dynamic Complex Networks

2021, WeADL workshop, Eugen Mihuleț (NMA): Technology in weather forecasting
2021, WeADL workshop, Sorin Burcea (NMA): Weather radars - basic principles and application in nowcasting in Romania
2021, WeADL workshop, Thomas Nipen (MET): Nowcasting on Yr - opportunities and challenges
2021, WeADL workshop, Arild Burud (MET): A brief introduction to the netCDF format and THREDDS data server
2021, WeADL workshop, Istvan Czibula (BBU): Computational models for nowcasting
2021, WeADL workshop, Andrei Mihai (BBU): Supervised and unsupervised machine learning for nowcasting, applied on radar data from central Transylvania region
2021, WeADL workshop, Alexandra Albu (BBU): Deep learning models for composite reflectivity prediction
2021, WeADL workshop, Vlad Ionescu (BBU): Deep neural network models for nowcasting using satellite data
2021, WeADL workshop, George Ciubotariu (BBU): Enhancing the performance of indoor-outdoor image classifications using depth-map features
2021, WeADL workshop, Alexandru-Marian Adăscăliței (BBU): Review and analysis of grayscale photography colorization using CNNs
2021, WeADL workshop, Maria-Mădălina Mircea (BBU): A machine learning approach for data protection in VR therapy applications
2021, WeADL workshop, Andrei Bratu (BBU): Training data augmentation for RL based trading algorithms using adversarial techniques
2021, WeADL workshop, Iulia-Monica Szuhai (BBU): DNA classification using supervised deep learning
2021, KES Conference, Vlad-Sebastian Ionescu (BBU), Gabriela Czibula (BBU), Eugen Mihuleț (NMA): DeePSat: A deep learning model for prediction of satellite images for nowcasting purposes
2021, Cluj IT Days, Andrei Mihai (BBU): Enhancing the performance of weather nowcasting by use of machine learning techniques
2022, Abdelkader Mezghani (MET) WeaMyL. Demo on how to access and visualise the output from the machine learning platform
2022, WeADL workshop, Sorin Cheval (NMA) A country scale assessment of the heat hazard-risk in urban areas
2022, WeADL workshop, Mihaela Caian (NMA) Variability of precipitation in Romania: recent trends and projected changes in climate scenarios
2022, WeADL workshop, Magnus Haukeland (MET) How nowcasting is used in today’s danger warnings
2022, WeADL workshop, Christoffer Artturi Elo (MET) Processing and filtering of radar end-product composite reflectivity
2022, WeADL workshop, Mihai Andrei (BBU) Using convolutional autoencoders for precipitation nowcasting based on radar data
2022, WeADL workshop, Gabriel-Ioan Mircea (BBU) ConvLSTM architectures for meteorological nowcasting based on satellite imagery
2022, WeADL workshop, Abdelkader Mezghani (MET) How to use the WeaMyL machine learning forecasting platform
2022, WeADL workshop, Arild Burud (MET) A brief introduction on the netCDF file format, the OPeNDAP protocol and THREDDS Data server
2022, WeADL workshop, George Ciubotariu (BBU) MBMT-Net: A Multi-Backbone, Multi-Task Deep Convolutional Neural Network
2022, WeADL workshop, Radu Galan (BBU) Generation and Simulation of Artificial Human Societies using Anthropologically modelled Learning Agents
2022, WeADL workshop, Alexandra Albu (BBU) Protein-Protein Interaction Prediction using a Deep Learning Approach based on Autoencoders
2023, WeADL workshop, Andrei Mihai (BBU) XNow: a convolutional neural network model for weather nowcasting using radar data from the Romanian National Meteorological Administration
2023, WeADL workshop, Alexandra Albu (BBU) A convolutional neural network approach for weather forecasting using radar data
2023, WeADL workshop, Eugen Mihuleţ (NMA) Enhancing the performance of quantitative precipitation estimation using ensemble of machine learning models applied on weather radar data
2023, WeADL workshop, Abdelkader Mezghani (MET) The WeaMyL Annotated Atlas of Meteorological Observations
2023, WeADL workshop, Abdelkader Mezghani (MET) The WeaMyL Forecasting Platform
2023, WeADL workshop, George Ciubotariu (BBU) Comparing one- and binary-class SVM-based software defect predictors
2023, WeADL workshop, Paul Orășan (BBU) Video completion conditioned by natural language-based descriptions
2023, WeADL workshop, Anamaria Briciu (BBU) Enhancing the performance of software authorship attribution using deep autoencoders
2023, WeADL workshop, Sîrbu Alexandru-Gabriel (BBU) Automatic code generation for malware detection based on MITRE ATT&CK techniques
2023, WeADL workshop, Imre Mali (BBU) Finding Cooperation in the N-Player Iterated Prisoner’s Dilemma with Deep Reinforcement Learning Over Dynamic Complex Networks

	BBU Rector’s Speech at Opening Ceremony WeaDL Workshop, 2021
	Speech at Opening Ceremony WeaDL Workshop, 2022
	Gabriel Mircea (BBU)
	Cristian Grecu (NMA)