ME Students Guided page

Prototype selection using Particle Swarm Optimization by A. Mallesh
Object Categorization using genetic programming by Jyoti Korra
Combination of classifiers using information gain by Shoban Babu
Construction of decision trees using cost and information gain by Edukondalu
Dynamic and multiple goal heuristic search technique by Satish Dinakar

Clustering of spatio-temporal data by Prateek
Fuzzy classification of time series data by Ravi Kumar
Multi label and classification and feature selection for discrete data by Bhupesh Akhand

Classification using rough random forest with probabilistic feature selection and diversity by Rajhans Gondane
Prototype selection on large and streaming data by Lakhpat Meena
Overlapping community detection in social networks by Jaswant Meena

A hedonic model for product review representation and feature pricing by mining consumer product reviews by Gopu Raveendran
Music mood classification based on audio features and lyrics by Pradeep Pandey
Topic modelling using genetic algorithms by Hariom Gautam
Prediction of private information of social network users by Deshant Kumar

Parallelization of Multilabel classification for large data by Shinjini Biswas
Multiclass imbalance problem by Alkh Niranjan
Detection of malicious binaries on static and dynamic artefacts by Ananta Rao Chukka
Transfer learning in neural networks for NLP by Ravi Shankar Devanapalli
Neural network translation using deep neural networks by Maulik Parmar
Sentence level relation classification using deep learning by Anil Kumar Donthagani

Biased random walks for community detection in social networks by Pasunoori Meghashyam
Efficient scene parsing to enhance autonomous navigation using deep learning by Gaurav Singh Rajput
Unsupervised text sentiment transfer with content preservation by Divya Agarwal
Deep transfer learning for emotion recognition from text by Chaikesh Chouragade
Moving beyond RNNs: Attention Networks by Sachin Mittal

Image Generation : GANS and transfer learning by Magare Aadesh Gajanan
Abstractive text summarization using hierarchical attention networks by Rashi Verma
Image captioning with capsule networks by Anudeep Koppolu
Cross attention for set matching in bipartite hypergraphs by Swyam Prakash Singh

Improving robustness of deep learning models using adversarial examples by Satyendra Yadav
Explaining deep neural networks using counterfactuals by Mansi Ram Shivani
Image deblurring by Satya Mishra
Cross modal image generation by Hemang Jain
Real time fatigue detection from face by Squadron Leader Abhijit Suresh Patil

Modified cGAN for improved image generation by Chetan Pant
XAI : Interpretability of transformers by Pallavi Naik
Extractive Question Answering using Transformer-based LM by Raj Jha
SumBART - An improved BART model for abstractive text summarization by Vivek A.
Aircraft detection in aerial imagery by Vatan Goyal
Modified CLIPCAP with pre-trained object detection for Image captioning by Nancy Agrawal