| Review of pre-training methods in chemistry (2) |
Sławomir Mucha |
tea seminar |
24 January 2020 |
| Wprowadzenie HSIC-a |
Jacek Tabor |
main seminar |
23 January 2020 |
| Wasserstein Autoencoders |
Kamila Wójcik |
tea seminar |
17 January 2020 |
| Hierarchical correlation reconstruction and predicting parameters of parametric distributions
|
Jarosław Duda |
main seminar |
16 January 2020 |
| Subjective overview of the NeurIPS 2019
|
Maciej Wołczyk |
tea seminar |
10 January 2020 |
| Komputerowe wspomaganie medycznej diagnostyki obrazowej |
Zbisław Tabor |
main seminar |
09 January 2020 |
| One-shot Architecture Search via Normalized Weights |
Bartosz Wójcik |
tea seminar |
20 December 2019 |
| Style Based Generative Adversarial Networks
|
Michał Sadowski |
tea seminar |
13 December 2019 |
| Review of pre-training methods in chemistry (1) |
Sławomir Mucha |
main seminar |
12 December 2019 |
| Set aggregation network as a trainable pooling layer |
Aleksandra Nowak |
tea seminar |
06 December 2019 |
| 3D point cloud generation using autoencoder based methods |
Przemysław Spurek |
main seminar |
05 December 2019 |
| Preludium - discussion |
|
tea seminar |
29 November 2019 |
| Learning Loss for Active Learning
|
Dawid Rymarczyk, Michał Sadowski, Maksym Titov |
tea seminar |
22 November 2019 |
| LoCoGAN – Local Convolutional Generative Adversarial Network |
Przemysław Spurek |
main seminar |
21 November 2019 |
| Distribution-Interpolation Trade off in Generative Models |
Damian Leśniak |
tea seminar |
15 November 2019 |
| Uczenie Ganów na zdjęciach o wysokiej rozdzielczości |
Szymon Knop, Jacek Tabor, Łukasz Struski, Wiktor Daniec, Przemysław Spurek |
tea seminar |
08 November 2019 |
| Entropia mierzona siecią neuronową |
Romuald Janik |
main seminar |
07 November 2019 |
| HyperGAN |
Marcin Sendera |
tea seminar |
25 October 2019 |
| Nonlinear Independent Component Analysis and Disentanglement Learning |
Aleksandra Nowak |
main seminar |
24 October 2019 |
| Deep Weighted Independent Component Analysis (DeepWeICA) |
Andrzej Bedychaj, Jacek Tabor, Przemysław Spurek, Aleksandra Nowak |
tea seminar |
18 October 2019 |
| Molecule-Augmented Attention Transformer
|
Łukasz Maziarka, Tomasz Danel |
main seminar |
17 October 2019 |
| The Break-Even Point on the Optimization Trajectories of Deep Neural Networks |
Stanisław Jastrzębski |
additional seminar |
15 October 2019 |
| Topologiczna Analiza Danych |
Paweł Dłotko |
tea seminar |
11 October 2019 |
| Biologically-Inspired Spatial Neural Networks |
Maciej Wołczyk, Jacek Tabor, Marek Śmieja |
main seminar |
10 October 2019 |
| Pioneer Networks: Progressively Growing Generative Autoencoder |
Szymon Knop |
tea seminar |
14 June 2019 |
| Generative Models in Reinforcement Learning |
Krzysztof Galias |
tea seminar |
07 June 2019 |
| SGD methods overview - from 1st order to online saddle-free 2nd order
|
Jarosław Duda |
main seminar |
06 June 2019 |
| Generowanie zdjęć o wysokiej rozdzielczości |
Łukasz Struski, Jacek Tabor, Bartosz Zieliński |
tea seminar |
31 May 2019 |
| Dynamika zmian sieci neuronalnych mózgu |
Tadeusz Marek |
main seminar |
30 May 2019 |
| Stan & Stan & The Hessian |
Stanisław Jastrzębski |
tea seminar |
24 May 2019 |
| Autoenkoder grafowy oparty o entropię |
Mateusz Malik |
main seminar |
23 May 2019 |
| Pole wektorowe rekonstrukcji |
Mateusz Juda |
tea seminar |
17 May 2019 |
| Deep k-Nearest Neighbors
|
Tomasz Krzyżek |
main seminar |
16 May 2019 |
| Deep learning w medycynie
|
Jan Witowski |
main seminar |
09 May 2019 |
| Probabilistic U-Net |
Adam Piekarczyk |
main seminar |
25 April 2019 |
| Analiza Sentymentu |
Krzysztof Rajda |
tea seminar |
05 April 2019 |
| PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation |
Przemysław Spurek |
main seminar |
04 April 2019 |
| Metody SGD Drugiego Rzędu |
Jarosław Duda, Stanisław Jastrzębski |
tea seminar |
29 March 2019 |
| Graph Convolutional Neural Networks |
Łukasz Maziarka |
main seminar |
28 March 2019 |
| Graph Convolutional Neural Networks |
Łukasz Maziarka, Agnieszka Słowik |
tea seminar |
22 March 2019 |
| PhD Defense (open to the public) |
Stanisław Jastrzębski |
main seminar |
21 March 2019 |
| Przegląd wybranych modeli do śledzenia obiektów (object tracking) |
Agnieszka Pocha, Krzysztof Misztal |
tea seminar |
15 March 2019 |
| Badania akustyczne nocnych ptasich wędrówek: wykorzystanie metod automatycznych do detekcji głosów
|
Hanna Pamuła |
main seminar |
14 March 2019 |
| Flow-Based Generative Models
|
Tomasz Danel |
tea seminar |
08 March 2019 |
| Wypełnianie brakujących fragmentów obrazów z wykorzystaniem sieci GAN
|
Michał Sadowski |
main seminar |
07 March 2019 |
| Geometry Latent II |
Jacek Tabor |
tea seminar |
01 March 2019 |
| Semester Summary |
|
main seminar |
28 February 2019 |
| Hypery II
|
Ł. Maziarka, M. Śmieja, M. Wołczyk, J. Nowak, J. Tabor |
main seminar |
24 January 2019 |
| Reinforcement learning for autonomous driving |
Krzysztof Galias |
tea seminar |
18 January 2019 |
| Workshops |
Nokia |
main seminar |
17 January 2019 |
| Ocena wiarygodności, kalibracja gęstości, GAE, MCA |
Jarosław Duda |
tea seminar |
11 January 2019 |
| Kompresja zdjęć (przegląd SOTA)
|
Jakub Nowak |
main seminar |
10 January 2019 |
| Evolutionary-Neural hybrids for Architecture Search
|
Krzysztof Maziarz |
main seminar |
03 January 2019 |
| On distance methods for clustering of 2D profiles with application to pottery fragments typology |
Paulina Czubaj |
tea seminar |
14 December 2018 |
| W poszukiwaniu systemu automatycznej analizy wokalizacji ultradźwiękowych gryzoni |
Piotr Popik |
main seminar |
13 December 2018 |
| Uncertainty in Deep Learning Models
|
Igor Sieradzki |
tea seminar |
07 December 2018 |
| Binary neurons
|
Tomasz Danel |
main seminar |
06 December 2018 |
| AI w analizie zdjęć biologicznych |
Krzysztof Misztal |
tea seminar |
30 November 2018 |
| IBM Academic Initiative; Kraków Software Laboratory |
Barbara Kowalczyk, Łukasz Ćmielowski (IBM) |
main seminar |
29 November 2018 |
| Generative models based on Wasserstein distance
|
Aleksandra Nowak |
tea seminar |
23 November 2018 |
| Naśladowanie ludzkiej percepcji w generacji obrazów |
Martyna Chruściel |
main seminar |
22 November 2018 |
| Hypernetworks |
S. Klocek, Ł. Maziarka, J. Tabor |
tea seminar |
16 November 2018 |
| Zwodnicze przykłady (ang. adversarial examples) dla sieci neuronowych |
Paweł Morawiecki (Instytut Podstaw Informatyki PAN) |
main seminar |
15 November 2018 |
| Głębokie przetwarzanie danych strukturalnych (zbiory, grafy, etc.) |
J. Tabor, M. Śmieja, Ł. Maziarka, A. Nowak |
tea seminar |
09 November 2018 |
| Semi-supervised deep generative model |
Maciej Wołczyk |
main seminar |
08 November 2018 |
| Początkowa faza trenowania sieci neuronowych |
Stanisław Jastrzębski |
tea seminar |
26 October 2018 |
| Wstęp do domain adaptation
|
Tomasz Danel |
main seminar |
25 October 2018 |
| Cramer-Wold AutoEncoder |
Jacek Tabor |
tea seminar |
19 October 2018 |
| Algorytm odwracania odwzorowań wielomianowych i efektywne obliczenia w algebrze symbolicznej |
Paweł Bogdan |
main seminar |
18 October 2018 |
| Glow - a flow-based generative model |
Michał Zając |
tea seminar |
12 October 2018 |
| Przemysłowe zastosowanie predykcji defektów oprogramowania wykorzystującej uczenie maszynowe |
Jarosław Hryszko |
main seminar |
11 October 2018 |
| Estimating joint distribution with polynomial for example for time series prediction |
Jarosław Duda |
main seminar |
04 October 2018 |
| Projekty badawcze GMUM - przegląd |
Jacek Tabor |
main seminar |
14 June 2018 |
| Połączenie cyklostacjonarności, funkcjonalnej analizy danych i sygnałów |
Jacek Leśkow (PK) |
main seminar |
07 June 2018 |
| Learning binary local feature descriptors - their evolution and application in SLAM |
Tomasz Trzciński (UW) |
main seminar |
24 May 2018 |
| Risk Problems and ML applications within a Bank |
Jaromir Dziula, Bartłomiej Szpak (HSBC) |
main seminar |
17 May 2018 |
| Generative Autoencoders |
Przemysław Spurek |
main seminar |
10 May 2018 |
| Geometry of latent space |
Jacek Tabor |
main seminar |
19 April 2018 |
| Visual pattern discovery by deep learning for the extraction of building characteristics |
Matthias Zeppelzauer (St. Pölten University) |
main seminar |
12 April 2018 |
| Missing data for Neural Networks |
Jacek Tabor, Marek Śmieja, Łukasz Struski |
main seminar |
05 April 2018 |
| Latent Space Oddity #2 |
J. Tabor, I. Podolak, Ł. Struski |
tea seminar |
23 March 2018 |
| Development and evaluation of a deep learning model for protein-ligand binding affinity prediction |
Marta Stępniewska-Dziubińska (Instytut Biochemii i Biofizyki PAN) |
main seminar |
22 March 2018 |
| Latent Space Oddity #1 |
J. Tabor, I. Podolak, Ł. Struski |
tea seminar |
16 March 2018 |
| Machine Learning in the world of Internet Media |
Joanna Misztal-Radecka (Grupa Onet-RAS Polska) |
main seminar |
15 March 2018 |
| On top eigendirections of word embeddings |
Jakub Chłędowski |
tea seminar |
09 March 2018 |
| A multi-instance deep neural network classifier: application to Higgs boson CP measurement |
Piotr Białas (WFAIS) |
main seminar |
08 March 2018 |
| Generowanie rymowanych wierszy w języku polskim za pomocą HMM i LSTMów |
Tomasz Danel, Julia Łucka |
tea seminar |
02 March 2018 |
| SGD Noise Improves Conditioning by Smoothing the Sharpest Directions |
Stanisław Jastrzębski |
main seminar |
01 March 2018 |
| How deeply deep learning entered the field of Chemistry |
Sabina Podlewska (IFPAN) |
main seminar |
08 February 2018 |
| Density estimation - A case study |
Magda Wiercioch |
tea seminar |
02 February 2018 |
| Dermoscopic Image Segmentation for Computer Aided Diagnostic |
Leszek Nowak (WFAIS) |
main seminar |
01 February 2018 |
| Subspace clustering; Neural networks with incomplete data |
M. Śmieja, Ł. Struski, P. Spurek |
tea seminar |
26 January 2018 |
| Some nonstandard approaches to hard computational problems
|
Jarek Duda |
main seminar |
25 January 2018 |
| Identifying and attacking the saddle point problem |
Agnieszka Pocha |
tea seminar |
19 January 2018 |
| A few papers on question answering |
Oleksandr Zakharchuk |
main seminar |
18 January 2018 |
| Pixel Recurrent Neural Networks |
Krzysztof Hajto |
tea seminar |
12 January 2018 |
| A new approach for density-based clustering |
Magdalena Wiercioch |
main seminar |
11 January 2018 |
| Semantic Image Inpainting With Deep Generative Models |
Piotr Kowenzowski |
tea seminar |
05 January 2018 |
| Teoria Baz Grobnera |
Barbara Ciesielska |
main seminar |
04 January 2018 |
| Distance Covariance Coefficient |
Łukasz Maziarka |
tea seminar |
15 December 2017 |
| Sieci Neuronowe Zoptymalizowane Pod Urządzenia Mobilne |
Tomasz Danel |
main seminar |
14 December 2017 |
| Limitations and Problems of Deep Learning |
Stanisław Jastrzębski |
tea seminar |
08 December 2017 |
| Understanding How Deep Networks Learn |
Stanisław Jastrzębski |
main seminar |
07 December 2017 |
| Intro to Variational AutoEncoders |
Damian Leśniak & Igor Sieradzki |
tea seminar |
01 December 2017 |
| Using omics data in deep learning |
Oleksandr Myronov |
main seminar |
30 November 2017 |
| IVA - Independent Vector Analysis |
Andrzej Bedychaj |
tea seminar |
24 November 2017 |
| Algorytmy uczenia maszynowego do adaptacji miejsca wykonywania zadań w środowisku mobilnej chmury obliczeniowej |
B. Śnieżyński (AGH), P. Nawrocki (AGH), J. Tabor, K. Misztal |
main seminar |
23 November 2017 |
| Selected Topics from Deep Learning by Bengio & Goodfellow, part 1.5 |
DL@UJ |
tea seminar |
17 November 2017 |
| Tematy na Preludium14 |
Damian Leśniak, Igor Sieradzki |
main seminar |
16 November 2017 |
| Selected Topics from Deep Learning by Bengio & Goodfellow, part 1 |
DL@UJ |
tea seminar |
10 November 2017 |
| Nauczanie Bayesowskie |
Oleksandr Myronov |
main seminar |
09 November 2017 |
| Moment invariants for multi-component shapes with applications to leaf classification |
Magda Wiercioch |
tea seminar |
27 October 2017 |
| Representation Learning in Textual Entailment Prediction |
Kuba Chłędowski |
main seminar |
26 October 2017 |
| Leave-one-out SVM |
Piotr Kowenzowki |
tea seminar |
20 October 2017 |
| Context Encoders, Feature Learning by Impainting |
Bartosz Zieliński, Łukasz Struski, Marek Śmieja |
main seminar |
19 October 2017 |
| Klastrowanie z ICML17 |
dr. Marek Śmieja, dr. Przemysław Spurek, dr. Łukasz Struski |
tea seminar |
13 October 2017 |
| New approach to closed form ICA |
Andrzej Bedychaj |
main seminar |
12 October 2017 |
| Lossless Compression by Substring Enumeration |
Danny Dubé (Université Laval) |
main seminar |
27 July 2017 |
| Embeddingi w NLP, Klastrowanie Browna
|
K. Misztal, A. Pocha, Ł. Struski, P. Spurek |
main seminar |
20 July 2017 |
| Binarne Reprezentacje Tekstu |
Marcin Kurdziel (AGH) |
main seminar |
22 June 2017 |
| Co rob_ć _dy w danyc_ są dziury? Techniki radzenia sobie z missing data
|
Krzysztof Hajto |
main seminar |
08 June 2017 |
| Wyszukiwanie anomalii w procesach biznesowych
|
Szymon Knop |
main seminar |
01 June 2017 |
| Feature Selection for Failure Detection
|
Agnieszka Pocha |
main seminar |
25 May 2017 |
| A recipe for simple effective models
|
Michael Abbott (WFAIS) |
main seminar |
18 May 2017 |
| Automatyczne rozpoznawanie utworów muzycznych z wykorzystaniem audio fingerprintingu |
Mateusz Kubica |
main seminar |
11 May 2017 |
| Independent Component Analysis #2 |
Jacek Tabor |
main seminar |
04 May 2017 |
| A survey on Membrane Computing: Theory, Applications and Tools |
Luis Valencia-Cabrera |
main seminar |
27 April 2017 |
| Znajdowanie najbliższej macierzy o określonych własnościach (matrix nearest problems) |
Michał Wojtylak |
main seminar |
20 April 2017 |
| DBSCAN, HDBSCAN i algorytmy pokrewne |
Andrzej Bedychaj |
main seminar |
13 April 2017 |
| GPCR Benchmarking |
Damian Leśniak |
main seminar |
06 April 2017 |
| Machine learning for display advertising |
Grzegorz Harańczyk (Criteo) |
main seminar |
30 March 2017 |
| Spektroskopia oscylacyjna (IR/RS) i komplementarne techniki w obrazowaniu biomarkerów zmian chorobowych |
Katarzyna Marzec (JCET) |
main seminar |
23 March 2017 |
| Independent Component Analysis
|
Jacek Tabor |
main seminar |
16 March 2017 |
| Szybka parametryczna estymacja gęstości |
Jarek Duda |
main seminar |
09 March 2017 |
| Deep Learning (nie) działa, czyli o tym jak uczą się sieci DL
|
Stanisław Jastrzębski |
main seminar |
09 March 2017 |
| Spectral Clustering #2 (at 1 PM)
|
Sławomir T. Wierzchoń |
main seminar |
02 March 2017 |
| Spectral Clustering #1 (at 3 PM)
|
Sławomir T. Wierzchoń |
main seminar |
01 March 2017 |
| Psychiatria, a badania naukowe |
Wojciech Datka Rafał Jaeschke |
main seminar |
23 February 2017 |
| Introduction to Reinforcement Learning |
Krzysztof Hajto |
main seminar |
26 January 2017 |
| Rekonstrukcja obrazu w tomografie J-PET |
Piotr Białas (WFAIS UJ) |
main seminar |
19 January 2017 |
| TBD |
Jose Quesada |
main seminar |
12 January 2017 |
| Outlier Detection Review |
Przemysław Spurek |
main seminar |
15 December 2016 |
| Logistic Regression with Pairwise Constraints |
Oleksandr Myronov |
main seminar |
08 December 2016 |
| Introduction to Batch Normalization |
Damian Leśniak |
main seminar |
01 December 2016 |
| Extreme Learning Machines |
Agnieszka Słowik |
main seminar |
24 November 2016 |
| Semi-Supervised Clustering
|
Marek Śmieja |
main seminar |
17 November 2016 |
| Uczenie z nadzorem jako metoda generowania strategii agentów na przykładzie adaptacyjnego zarządzania usługami w mobilnej chmurze obliczeniowej |
Bartłomiej Śnieżyński, Piotr Nawrocki (Katedra Informatyki AGH) |
main seminar |
10 November 2016 |
| Stare i nowe techniki używane w kompresji danych
|
Jarek Duda |
main seminar |
03 November 2016 |
| "Introduction to Time Series \#2"
|
Igor Podolak, Damian Leśniak |
main seminar |
27 October 2016 |
| "Introduction to Time Series \#1" |
Igor Podolak, Damian Leśniak |
main seminar |
20 October 2016 |
| Machine Learning w przewidywaniu awarii |
Mateusz Marzec - Reliability Solutions |
main seminar |
13 October 2016 |
| NLP methods in virtual screening & Neural Prediction Models for Land Conflict Prevention |
Szymon Nakoneczny, Konrad Talik |
main seminar |
16 June 2016 |
| User2vec: user modeling using LSTM networks |
Konrad Żołna (Instytut Matematyki UJ) |
main seminar |
09 June 2016 |
| Obrazowanie hiperspektralne i analiza wielowymiarowa w badaniu dzieł sztuki |
Agata Mendys |
main seminar |
02 June 2016 |
| Active Learning |
Igor Sieradzki |
main seminar |
19 May 2016 |
| dr.GMUM - towards standarizing our work |
Damian Leśniak, Stanisław Jastrzębski |
main seminar |
12 May 2016 |
| How to handle missing data in classification using SVM? |
Lukasz Struski, Maciej Smieja, Jacek Tabor |
main seminar |
28 April 2016 |
| Virtual Reality in surgery
|
Przemyslaw Korzeniowski (Imperial College of London) |
main seminar |
21 April 2016 |
| Bayesian optimization of hyperparameters via Gaussian Processes
|
Stanisław Jastrzębski |
main seminar |
14 April 2016 |
| New coding possibilities with asymmetric sender-receiver knowledge
|
Jarek Duda |
main seminar |
07 April 2016 |
| SVM with additional neutral class
|
Marek Smieja, Jacek Tabor |
main seminar |
31 March 2016 |
| Past, present and future of DNA sequencing, alignment and compression
|
Jarek Duda |
main seminar |
10 March 2016 |
| Independent Component Analysis
|
Przemysław Spurek |
main seminar |
03 March 2016 |
| Wprowadzenie do teorii macierzy przypadkowych.
|
Piotr Warchoł [WFAIS] |
main seminar |
04 February 2016 |
| Komputerowo wspomagane projektowanie leków. Metody i wyzwania.
|
Krzysztof Rataj [Instytut Farmakologii PAN] |
main seminar |
28 January 2016 |
| Entropijne klastrowanie rzadkich binarnych danych wysokowymiarowych
|
Marek Śmieja |
main seminar |
21 January 2016 |
| Metrologia współrzędnościowa w badaniach materiałów biologicznych - problemy wybrane |
Artur Wójcik [UR] |
main seminar |
14 January 2016 |
| Semi-Supervised Representation Learning
|
Stanisław Jastrzębski |
main seminar |
07 January 2016 |
| Classification of extremely imbalanced, binary datasets - case study in cheminformatics |
Wojciech Czarnecki |
main seminar |
17 December 2015 |
| Nowe podejście do klasyfikacji oparte o algorytm działów wodnych |
Mateusz Baran [IT PK] |
main seminar |
10 December 2015 |
| Biometryczny system identyfikacji człowieka na podstawie cech siatkówki oka |
Michał Drobniak |
main seminar |
26 November 2015 |
| A Kaggle competition on brain EEG |
Romuald Janik [FAIS UJ] |
main seminar |
26 November 2015 |
| Modele z dużą liczbą zmiennych jakościowych |
Piotr Kościelniak [IM UJ] |
main seminar |
19 November 2015 |
| Potencjalne aplikacje systemów AI w Neuroobrazowaniu |
Bartłomiej Kroczek ○ Michał Ociepka |
main seminar |
12 November 2015 |
| Deep convolutional filter banks for texture recognition and segmentation |
Bartosz Zieliński |
main seminar |
05 November 2015 |
| Neurosolver - Neuromorphic General Problem Solver
|
Andrzej Bieszczad |
main seminar |
22 October 2015 |
| Deep architectures in vision and NLP |
Magdalena Wiercioch |
main seminar |
15 October 2015 |
| Normalized rotation molecular shape descriptors
|
Jarosław Duda |
main seminar |
08 October 2015 |
| Improving multi-label classification by dividing the label space using modularity-maximizing community detection methods |
Piotr Szymański |
main seminar |
02 July 2015 |
| Topological Data Analysis: introduction and persistent homology #2 |
Grzegorz Jablonski |
main seminar |
25 June 2015 |
| Analiza danych i obrazów miażdżycowych ○ Segmentacja obrazów medycznych – metody atlasowe i modele statystyczne
|
Bartosz Zieliński, Zbisław Tabor |
main seminar |
11 June 2015 |
| Topological Data Analysis: introduction and persistent homology |
Grzegorz Jablonski |
main seminar |
28 May 2015 |
| Lattice computing |
Manuel Grana |
main seminar |
14 May 2015 |
| "Fushion learning room 0094" |
Regina Liu |
main seminar |
07 May 2015 |
| MLE with constraints #2 |
Przemysław Spurek |
main seminar |
30 April 2015 |
| "@plSIGML - Gliwice" |
|
main seminar |
23 April 2015 |
| MLE with constraints #1 |
Przemysław Spurek |
main seminar |
16 April 2015 |
| AdaSS
|
Michał Woźniak |
main seminar |
09 April 2015 |
| Soft clustering |
Magdalena Wiercioch, Marek Śmieja, Jacek Tabor |
main seminar |
26 March 2015 |
| Subspace Memory Clustering #3 ○ Generalized Projected Clusters - ORCLUS |
Łukasz Struski, Krzysztof Hajto |
main seminar |
19 March 2015 |
| Subspace Memory Clustering #2 |
Łukasz Struski |
main seminar |
12 March 2015 |
| Subspace Memory Clustering #1 |
Łukasz Struski |
main seminar |
05 March 2015 |
| Hilberg's Conjecture |
Jacek Tabor |
main seminar |
26 February 2015 |
| "@TFML - Będlewo" |
GMUM |
main seminar |
19 February 2015 |
| Weighted Tanimoto ELM for Drug Discovery - Theoretical Part |
Wojciech Czarnecki |
main seminar |
12 February 2015 |
| Weighted Tanimoto ELM for Drug Discovery - Practical Part |
Wojciech Czarnecki |
main seminar |
05 February 2015 |
| Tracking of the particles in Time Projection Chamber in NA61/SHINE experiment |
Oskar Wyszyński |
main seminar |
29 January 2015 |
| Content-based recommendations with Poisson factorization
|
Joanna Misztal |
main seminar |
22 January 2015 |
| Grounded Compositional Semantics for Finding and Describing Images with Sentences
|
Magdalena Wiercioch |
main seminar |
15 January 2015 |
| Wykrywanie i rozpoznawanie eliptycznych wzorców |
Krzysztof Misztal |
main seminar |
08 January 2015 |
| Maximal Entropy Random Walk in information channels, diffusion and analysis of graphs #2
|
Jarosław Duda |
main seminar |
18 December 2014 |
| Maximal Entropy Random Walk in information channels, diffusion and analysis of graphs
|
Jarosław Duda |
main seminar |
11 December 2014 |
| Density clusterings |
Mateusz Malik |
main seminar |
04 December 2014 |
| Quantum finite automata |
Wiesław Pałka |
main seminar |
27 November 2014 |
| Iris segmentation vs. CEC |
Krzysztof Misztal |
main seminar |
20 November 2014 |
| Active Function Cross Entropy Clustering |
Przemysław Spurek |
main seminar |
13 November 2014 |
| Asymmetric Numeral Systems, czyli jak dodać ułamkowe bity do kodera Huffmana
|
Jarosław Duda |
main seminar |
06 November 2014 |
| Turbiny |
Jacek Tabor |
main seminar |
30 October 2014 |
| Entropy based classification @plSIGML - Łódź |
Wojciech Czarnecki |
main seminar |
24 October 2014 |
| HCOC - Hierarchical objects classification @plSIGML - Łódź |
Igor Podolak |
main seminar |
23 October 2014 |
| Organizational meeting. What was GMUM up to during summer? |
Jacek Tabor, Igor Podolak |
main seminar |
16 October 2014 |
| Guest seminar from University of Edinburgh
|
Krzysztof Geras |
main seminar |
16 July 2014 |
| Modele propagacji wpływu w sieciach społecznych |
Anna Szczepanek |
main seminar |
12 June 2014 |
| Monte Carlo Markov Chains |
Przemysław Spurek |
main seminar |
05 June 2014 |
| HCOC i inne |
Igor Podolak |
main seminar |
22 May 2014 |
| Shannon's coding theorem |
Przemysław Spurek |
main seminar |
15 May 2014 |
| Three months of kaggling
|
Wojciech Czarnecki |
main seminar |
08 May 2014 |
| Recent advances in human-centric video understanding
|
Marín-Jiménez |
main seminar |
24 April 2014 |
| On machine learning applications for code testing |
Adam Roman |
main seminar |
10 April 2014 |
| Autoencoders as building blocks of Deep Learning
|
Magdalena Wiercioch |
main seminar |
03 April 2014 |
| Uczenie maszynowe obrazów znamion barwnikowych |
Grzegorz Surówka |
main seminar |
27 March 2014 |
| Będlewo |
Igor Podolak, Przemysław Spurek (at Horizons of Mathematics 2014) |
main seminar |
20 March 2014 |
| Cross Entropy Clustering
|
Jacek Tabor (at plSIGML seminar, Wroclaw University of Technology) |
main seminar |
17 March 2014 |
| On the SVM parameters selection in compounds activity prediction
|
Sabina Smusz |
main seminar |
13 March 2014 |
| Asymmetric Clustering Index ○ From academia to business
|
Marek Śmieja, Grzegorz Świrszcz |
main seminar |
06 March 2014 |
| On OMP convergence |
Grzegorz Świrszcz |
main seminar |
27 February 2014 |
| On Renyi's Entropy, Density estimation and classification #2
|
Wojciech Czarnecki |
main seminar |
13 February 2014 |
| On Renyi's Entropy, Density estimation and classification #1
|
Wojciech Czarnecki |
main seminar |
06 February 2014 |
| Introduction to the Density Estimation
|
Jacek Tabor |
main seminar |
30 January 2014 |
| Introduction to the Entropy
|
Jacek Tabor |
main seminar |
23 January 2014 |
| Deep learning - introduction #3
|
Igor Podolak |
main seminar |
16 January 2014 |
| Deep learning - introduction #2
|
Igor Podolak |
main seminar |
09 January 2014 |
| Deep learning - introduction #1
|
Igor Podolak |
main seminar |
19 December 2013 |
