Bibliography entries

time series forecasting with deep learning

This is my CV inspired by LianTze Lim template

Deep Learning for Natural Language Processing - Lectures 2023

Computation of Midcurve of Thin Polygons using Neural Networks

My Bachelor thesis. "Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning"

experimental codes, used to understand new features and features.

My publications

To research and collect materials in the field of investigating feelings and emotions using the analysis of images, sound and text through artificial intelligence.

An Application which can be used to feed speech transcript via a chatbot interface and get the depression indicator of the person speaking. A deep learning model is used to classify the depression percentage

This repository contains a comprehensive set of exam questions for the course "Statistical Methods for Machine Learning"

The official respository for noise-aware physics-informed machine learning (nPIML)

A pipeline for semantic segmentation, densification, and planar flattening for improving voxelization and mesh reconstruction quality of airborne LiDAR data.

A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP

"Trade-of between deep learning for species identication...", by Olivier Gimenez et al

My learning notes.

A selection of state-of-the-art research materials on trajectory prediction

Amdjed portfolio

A comprehensive list [I3CL@IJCV'22, DPText-DETR@AAAI'23, DeepSolo(++)@ CVPR'23] of our research works related to scene text detection and spotting, including papers, codes. Note: The official repo for "I3CL: Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped ..." has been moved to: https://github.com/ViTAE-Transformer/I3CL