Sheraz Ahmed
Orcid: 0000-0002-4239-6520
According to our database1,
Sheraz Ahmed
authored at least 144 papers
between 2011 and 2024.
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Bibliography
2024
A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024
2023
ACE 2.0: A Comprehensive tool for automatic extraction, analysis, and digital profiling of the researchers in Scientific Communities.
Soc. Netw. Anal. Min., December, 2023
Appl. Intell., October, 2023
Int. J. Document Anal. Recognit., September, 2023
Int. J. Document Anal. Recognit., September, 2023
Translating theory into practice: assessing the privacy implications of concept-based explanations for biomedical AI.
Frontiers Bioinform., May, 2023
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method.
Briefings Bioinform., January, 2023
Performance Comparison of Transformer-Based Models on Twitter Health Mention Classification.
IEEE Trans. Comput. Soc. Syst., 2023
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification.
CoRR, 2023
A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction.
CoRR, 2023
Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023
Randout-KD: Finetuning Foundation Models for Text Classification via Random Noise and Knowledge Distillation.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
NP-BERT: A Two-Staged BERT Based Nucleosome Positioning Prediction Architecture for Multiple Species.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023
2022
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification.
IEEE Trans. Ind. Informatics, 2022
Softw. Impacts, 2022
CircNet: an encoder-decoder-based convolution neural network (CNN) for circular RNA identification.
Neural Comput. Appl., 2022
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning.
Health Inf. Sci. Syst., 2022
Leveraging the Potential of Novel Data in Power Line Communication of Electricity Grids.
CoRR, 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training.
CoRR, 2022
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting.
CoRR, 2022
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability.
CoRR, 2022
ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions.
Comput. Methods Programs Biomed., 2022
Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training.
IEEE Access, 2022
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Point2Mask: A Weakly Supervised Approach for Cell Segmentation Using Point Annotation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Are Deep Models Robust against Real Distortions? A Case Study on Document Image Classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022
DeepMuCS: A Framework for Co-culture Microscopic Image Analysis: From Generation to Segmentation.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Proceedings of the Künstliche Intelligenz im Gesundheitswesen: Entwicklungen, 2022
2021
Guest Editorial Computational Social Systems for COVID-19 Emergency Management and Beyond.
IEEE Trans. Comput. Soc. Syst., 2021
TSInsight: A Local-Global Attribution Framework for Interpretability in Time Series Data.
Sensors, 2021
Pattern Recognit., 2021
Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification.
Neural Comput. Appl., 2021
Correction to: Benchmarking performance of machine and deep learning-based methodologies for Urdu text document classification.
Neural Comput. Appl., 2021
Sense the pen: Classification of online handwritten sequences (text, mathematical expression, plot/graph).
Expert Syst. Appl., 2021
Understanding Information Spreading Mechanisms During COVID-19 Pandemic by Analyzing the Impact of Tweet Text and User Features for Retweet Prediction.
CoRR, 2021
Deep Learning Based Decision Support for Medicine - A Case Study on Skin Cancer Diagnosis.
CoRR, 2021
IEEE Access, 2021
IEEE Access, 2021
Proceedings of the Recent Advances in Business Analytics. Selected papers of the 2021 KNOWCON-NSAIS workshop on Business Analytics, 2021
PatchX: Explaining Deep Models by Intelligible Pattern Patches for Time-series Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
DeepCeNS: An end-to-end Pipeline for Cell and Nucleus Segmentation in Microscopic Images.
Proceedings of the International Joint Conference on Neural Networks, 2021
L2S-MirLoc: A Lightweight Two Stage MiRNA Sub-Cellular Localization Prediction Framework.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
Understanding and Mitigating the Impact of Model Compression for Document Image Classification.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021
ImpactCite: An XLNet-based Solution Enabling Qualitative Citation Impact Analysis Utilizing Sentiment and Intent.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
DeepCIS: An end-to-end Pipeline for Cell-type aware Instance Segmentation in Microscopic Images.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
ChrSLoc-Net: Machine Learning-Based Prediction of Channelrhodopsins Proteins within Plasma Membrane.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
SN Comput. Sci., 2020
Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems.
CoRR, 2020
CoRR, 2020
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks.
CoRR, 2020
Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification.
CoRR, 2020
IEEE Access, 2020
IEEE Access, 2020
Confident Classification Using a Hybrid Between Deterministic and Probabilistic Convolutional Neural Networks.
IEEE Access, 2020
Blockchain as a Trust Builder in the Smart City Domain: A Systematic Literature Review.
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Improving Personal Health Mention Detection on Twitter Using Permutation Based Word Representation Learning.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Enhancer-DSNet: A Supervisedly Prepared Enriched Sequence Representation for the Identification of Enhancers and Their Strength.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Document Analysis Systems - 14th IAPR International Workshop, 2020
2019
FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models.
Sensors, 2019
Correction to: Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
BMC Medical Informatics Decis. Mak., 2019
Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning.
BMC Medical Informatics Decis. Mak., 2019
CoRR, 2019
IEEE Access, 2019
IEEE Access, 2019
Probabilistic Forecasting of Sensory Data With Generative Adversarial Networks - ForGAN.
IEEE Access, 2019
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
A Comparative Analysis of Traditional and Deep Learning-Based Anomaly Detection Methods for Streaming Data.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Geospatial Customer, Competitor and Supplier Analysis for Site Selection of Supermarkets.
Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019
TSXplain: Demystification of DNN Decisions for Time-Series Using Natural Language and Statistical Features.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
DeepEX: Bridging the Gap Between Knowledge and Data Driven Techniques for Time Series Forecasting.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
Benchmarking Object Detection Networks for Image Based Reference Detection in Document Images.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
Proceedings of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE 2019) Stanford University, 2019
2018
Sensors, 2018
3DAirSig: A Framework for Enabling In-Air Signatures Using a Multi-Modal Depth Sensor.
Sensors, 2018
Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph.
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018
Proceedings of the Intelligent Environments 2018, 2018
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018
Towards a Digital Personal Trainer for Health Clubs - Sport Exercise Recognition Using Personalized Models and Deep Learning.
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018
Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018
Evaluating similarity measures for gaze patterns in the context of representational competence in physics education.
Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 2018
2017
CoRR, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
DeepDeSRT: Deep Learning for Detection and Structure Recognition of Tables in Document Images.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Academic Community Explorer (ACE) for Syntactic, Semantic and Pragmatic Document Analysis.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
Cutting the Error by Half: Investigation of Very Deep CNN and Advanced Training Strategies for Document Image Classification.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017
2016
A Generic Framework for Information Segmentation in Document Images: A part-based Approach.
PhD thesis, 2016
CoRR, 2016
CoRR, 2016
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016
2015
ICDAR2015 competition on signature verification and writer identification for on- and off-line skilled forgeries (SigWIcomp2015).
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015
2014
Pattern Recognit. Lett., 2014
Statistical segmentation and structural recognition for floor plan interpretation - Notation invariant structural element recognition.
Int. J. Document Anal. Recognit., 2014
2013
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013
Automatic Ground Truth Generation of Camera Captured Documents Using Document Image Retrieval.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013
Proceedings of the Graphics Recognition. Current Trends and Challenges, 2013
2012
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012
Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, 2012
Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, 2012
Proceedings of the 10th IAPR International Workshop on Document Analysis Systems, 2012
2011
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011